Some brief reflections from DSC:

will likely be used by colleges, universities, bootcamps, MOOCs, and others to feed web-based learner profiles, which will then be queried by people and/or organizations who are looking for freelancers and/or employees to fill their project and/or job-related needs.

As of the end of 2016, Microsoft — with their purchase of LinkedIn — is strongly positioned as being a major player in this new landscape. But it might turn out to be an open-sourced solution/database.

Data mining, algorithm development, and Artificial Intelligence (AI) will likely have roles to play here as well. The systems will likely be able to tell us where we need to grow our skillsets, and provide us with modules/courses to take. This is where the Learning from the Living [Class] Room vision becomes highly relevant, on a global scale. We will be forced to continually improve our skillsets as long as we are in the workforce. Lifelong learning is now a must. AI-based recommendation engines should be helpful here — as they will be able to analyze the needs, trends, developments, etc. and present us with some possible choices (based on our learner profiles, interests, and passions).

 

 

Google, Facebook, and Microsoft are remaking themselves around AI — from wired.com by Cade Metz

Excerpt (emphasis DSC):

Alongside a former Stanford researcher—Jia Li, who more recently ran research for the social networking service Snapchat—the China-born Fei-Fei will lead a team inside Google’s cloud computing operation, building online services that any coder or company can use to build their own AI. This new Cloud Machine Learning Group is the latest example of AI not only re-shaping the technology that Google uses, but also changing how the company organizes and operates its business.

Google is not alone in this rapid re-orientation. Amazon is building a similar group cloud computing group for AI. Facebook and Twitter have created internal groups akin to Google Brain, the team responsible for infusing the search giant’s own tech with AI. And in recent weeks, Microsoft reorganized much of its operation around its existing machine learning work, creating a new AI and research group under executive vice president Harry Shum, who began his career as a computer vision researcher.

 

But Etzioni says this is also part of very real shift inside these companies, with AI poised to play an increasingly large role in our future. “This isn’t just window dressing,” he says.

 

 

Intelligence everywhere! Gartner’s Top 10 Strategic Technology Trends for 2017 — from which-50.com

Excerpt (emphasis DSC):

AI and Advanced Machine Learning
Artificial intelligence (AI) and advanced machine learning (ML) are composed of many technologies and techniques (e.g., deep learning, neural networks, natural-language processing [NLP]). The more advanced techniques move beyond traditional rule-based algorithms to create systems that understand, learn, predict, adapt and potentially operate autonomously. This is what makes smart machines appear “intelligent.”

“Applied AI and advanced machine learning give rise to a spectrum of intelligent implementations, including physical devices (robots, autonomous vehicles, consumer electronics) as well as apps and services (virtual personal assistants [VPAs], smart advisors), ” said David Cearley, vice president and Gartner Fellow. “These implementations will be delivered as a new class of obviously intelligent apps and things as well as provide embedded intelligence for a wide range of mesh devices and existing software and service solutions.”

 

gartner-toptechtrends-2017

 

 

 

 

aiexperiments-google-nov2016

 

Google’s new website lets you play with its experimental AI projects — from mashable.com by Karissa Bell

Excerpt:

Google is letting users peek into some of its most experimental artificial intelligence projects.

The company unveiled a new website Tuesday called A.I. Experiments that showcases Google’s artificial intelligence research through web apps that anyone can test out. The projects include a game that guesses what you’re drawing, a camera app that recognizes objects you put in front of it and a music app that plays “duets” with you.

 

Google unveils a slew of new and improved machine learning APIs — from digitaltrends.com by Kyle Wiggers

Excerpt:

On Tuesday, Google Cloud chief Diane Greene announced the formation of a new team, the Google Cloud Machine Learning group, that will manage the Mountain View, California-based company’s cloud intelligence efforts going forward.

 

Found in translation: More accurate, fluent sentences in Google Translate — from blog.google by Barak Turovsky

Excerpt:

In 10 years, Google Translate has gone from supporting just a few languages to 103, connecting strangers, reaching across language barriers and even helping people find love. At the start, we pioneered large-scale statistical machine translation, which uses statistical models to translate text. Today, we’re introducing the next step in making Google Translate even better: Neural Machine Translation.

Neural Machine Translation has been generating exciting research results for a few years and in September, our researchers announced Google’s version of this technique. At a high level, the Neural system translates whole sentences at a time, rather than just piece by piece. It uses this broader context to help it figure out the most relevant translation, which it then rearranges and adjusts to be more like a human speaking with proper grammar. Since it’s easier to understand each sentence, translated paragraphs and articles are a lot smoother and easier to read. And this is all possible because of end-to-end learning system built on Neural Machine Translation, which basically means that the system learns over time to create better, more natural translations.

 

 

‘Augmented Intelligence’ for Higher Ed — from insidehighered.com by Carl Straumsheim
IBM picks Blackboard and Pearson to bring the technology behind the Watson computer to colleges and universities.

Excerpts:

[IBM] is partnering with a small number of hardware and software providers to bring the same technology that won a special edition of the game show back in 2011 to K-12 institutions, colleges and continuing education providers. The partnerships and the products that might emerge from them are still in the planning stage, but the company is investing in the idea that cognitive computing — natural language processing, informational retrieval and other functions similar to the ones performed by the human brain — can help students succeed in and outside the classroom.

Chalapathy Neti, vice president of education innovation at IBM Watson, said education is undergoing the same “digital transformation” seen in the finance and health care sectors, in which more and more content is being delivered digitally.

IBM is steering clear of referring to its technology as “artificial intelligence,” however, as some may interpret it as replacing what humans already do.

“This is about augmenting human intelligence,” Neti said. “We never want to see these data-based systems as primary decision makers, but we want to provide them as decision assistance for a human decision maker that is an expert in conducting that process.”

 

 

What a Visit to an AI-Enabled Hospital Might Look Like — from hbr.org by R “Ray” Wang

Excerpt (emphasis DSC):

The combination of machine learning, deep learning, natural language processing, and cognitive computing will soon change the ways that we interact with our environments. AI-driven smart services will sense what we’re doing, know what our preferences are from our past behavior, and subtly guide us through our daily lives in ways that will feel truly seamless.

Perhaps the best way to explore how such systems might work is by looking at an example: a visit to a hospital.

The AI loop includes seven steps:

  1. Perception describes what’s happening now.
  2. Notification tells you what you asked to know.
  3. Suggestion recommends action.
  4. Automation repeats what you always want.
  5. Prediction informs you of what to expect.
  6. Prevention helps you avoid bad outcomes.
  7. Situational awareness tells you what you need to know right now.

 

 

Japanese artificial intelligence gives up on University of Tokyo admissions exam — from digitaltrends.com by Brad Jones

Excerpt:

Since 2011, Japan’s National Institute of Informatics has been working on an AI, with the end goal of having it pass the entrance exam for the University of Tokyo, according to a report from Engadget. This endeavor, dubbed the Todai Robot Project in reference to a local nickname for the school, has been abandoned.

It turns out that the AI simply cannot meet the exact requirements of the University of Tokyo. The team does not expect to reach their goal of passing the test by March 2022, so the project is being brought to an end.

 

 

“We are building not just Azure to have rich compute capability, but we are, in fact, building the world’s first AI supercomputer,” he said.

— from Microsoft CEO Satya Nadella spruiks power of machine learning,
smart bots and mixed reality at Sydney developers conference

 

Why it’s so hard to create unbiased artificial intelligence — from techcrunch.com by Ben Dickson

Excerpt:

As artificial intelligence and machine learning mature and manifest their potential to take on complicated tasks, we’ve become somewhat expectant that robots can succeed where humans have failed — namely, in putting aside personal biases when making decisions. But as recent cases have shown, like all disruptive technologies, machine learning introduces its own set of unexpected challenges and sometimes yields results that are wrong, unsavory, offensive and not aligned with the moral and ethical standards of human society.

While some of these stories might sound amusing, they do lead us to ponder the implications of a future where robots and artificial intelligence take on more critical responsibilities and will have to be held responsible for the possibly wrong decisions they make.

 

 

 

The Non-Technical Guide to Machine Learning & Artificial Intelligence — from medium.com by Sam DeBrule

Excerpt:

This list is a primer for non-technical people who want to understand what machine learning makes possible.

To develop a deep understanding of the space, reading won’t be enough. You need to: have an understanding of the entire landscape, spot and use ML-enabled products in your daily life (Spotify recommendations), discuss artificial intelligence more regularly, and make friends with people who know more than you do about AI and ML.

News: For starters, I’ve included a link to a weekly artificial intelligence email that Avi Eisenberger and I curate (machinelearnings.co). Start here if you want to develop a better understanding of the space, but don’t have the time to actively hunt for machine learning and artificial intelligence news.

Startups: It’s nice to see what startups are doing, and not only hear about the money they are raising. I’ve included links to the websites and apps of 307+ machine intelligence companies and tools.

People: Here’s a good place to jump into the conversation. I’ve provided links to Twitter accounts (and LinkedIn profiles and personal websites in their absence) of the founders, investors, writers, operators and researchers who work in and around the machine learning space.

Events: If you enjoy getting out from behind your computer, and want to meet awesome people who are interested in artificial intelligence in real life, there is one place that’s best to do that, more on my favorite place below.

 

 

 

How one clothing company blends AI and human expertise — from hbr.org by H. James Wilson, Paul Daugherty, & Prashant Shukla

Excerpt:

When we think about artificial intelligence, we often imagine robots performing tasks on the warehouse or factory floor that were once exclusively the work of people. This conjures up the specter of lost jobs and upheaval for many workers. Yet, it can also seem a bit remote — something that will happen in “the future.” But the future is a lot closer than many realize. It also looks more promising than many have predicted.

Stitch Fix provides a glimpse of how some businesses are already making use of AI-based machine learning to partner with employees for more-effective solutions. A five-year-old online clothing retailer, its success in this area reveals how AI and people can work together, with each side focused on its unique strengths.

 

 

 

 

he-thinkaboutai-washpost-oc2016

 

Excerpt (emphasis DSC):

As the White House report rightly observes, the implications of an AI-suffused world are enormous — especially for the people who work at jobs that soon will be outsourced to artificially-intelligent machines. Although the report predicts that AI ultimately will expand the U.S. economy, it also notes that “Because AI has the potential to eliminate or drive down wages of some jobs … AI-driven automation will increase the wage gap between less-educated and more-educated workers, potentially increasing economic inequality.”

Accordingly, the ability of people to access higher education continuously throughout their working lives will become increasingly important as the AI revolution takes hold. To be sure, college has always helped safeguard people from economic dislocations caused by technological change. But this time is different. First, the quality of AI is improving rapidly. On a widely-used image recognition test, for instance, the best AI result went from a 26 percent error rate in 2011 to a 3.5 percent error rate in 2015 — even better than the 5 percent human error rate.

Moreover, as the administration’s report documents, AI has already found new applications in so-called “knowledge economy” fields, such as medical diagnosis, education and scientific research. Consequently, as artificially intelligent systems come to be used in more white-collar, professional domains, even people who are highly educated by today’s standards may find their livelihoods continuously at risk by an ever-expanding cybernetic workforce.

 

As a result, it’s time to stop thinking of higher education as an experience that people take part in once during their young lives — or even several times as they advance up the professional ladder — and begin thinking of it as a platform for lifelong learning.

 

Colleges and universities need to be doing more to move beyond the array of two-year, four-year, and graduate degrees that most offer, and toward a more customizable system that enables learners to access the learning they need when they need it. This will be critical as more people seek to return to higher education repeatedly during their careers, compelled by the imperative to stay ahead of relentless technological change.

 

 

From DSC:
That last bolded paragraph is why I think the vision of easily accessible learning — using the devices that will likely be found in one’s apartment or home — will be enormously powerful and widespread in a few years. Given the exponential pace of change that we are experiencing — and will likely continue to experience for some time — people will need to reinvent themselves quickly.

Higher education needs to rethink our offerings…or someone else will.

 

The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV

 

 

 

 

How chatbots will change the face of campus technology — from by Jami Morshed

Excerpt:

In the first few months of the new semester hubbub, what if there was an assistant at the beck and call of students to help them navigate the college process? While the campus faculty and staff are likely too busy during those first few days to answer all the questions on students and parent’s minds, chatbots – akin to Siri, Cortana, and Alexa – could provide the ideal digital assistant to make not only these first few days run smoothly, but also the student’s entire time on campus.

From applying to college, to arriving on campus, declaring a major, signing up courses and eventually graduation, there are a multitude of ways bots can help to streamline the process, maybe as soon as next semester.

For example, during the application process, a bot could send push notifications to students to remind them about upcoming deadlines, missing documents, or improperly submitted data, and would be available 24/7 to answer student’s questions such as “Am I missing any documents for my application?” or “What’s the deadline for submitting the application fee?”.

 

 

The Ultimate Guide to Chatbots: Why they’re disrupting UX and best practices for building — from medium.muz by Joe Toscano

Excerpt (emphasis DSC):

The incredible potential of chatbots lies in the ability to individually and contextually communicate one-to-many.

Right now contextually communicating with bots isn’t something that’s reasonable to ask across the board but there are a few that are doing it well, and I believe this type of interaction will be the standard in the future.

While chatbots are still in their infancy in terms of creative potential, it’s still a very exciting time for creatives trying to understand the best way to use this new technology and how to build the best bot possible.

Stop wasting money trying to pull people into your ecosystem. Push your content where your users are already active.

 

 

Google Assistant bot ecosystem will open to all developers by end of 2016 — from venturebeat.com by Khari Johnson

Excerpt:

Developers and the rest of the world will soon be able to make bots that interact with Google Assistant and new Google devices made public, the company said today in a special presentation in San Francisco.

“The Google Assistant will be our next thriving open ecosystem,” said Scott Huffman, lead engineer of Google Assistant.

The creation of bots for Google Assistant will be possible through Actions on Google, which is due out by early December. A software development kit (SDK) that brings Google Assistant into a range of device not made by Google is due out next year.

 

 

First Computer to Match Humans in Conversational Speech Recognition — from technologyreview.com
Human-level speech recognition has been a long time coming.

 

 

Chat bots: How talking to your apps became the next big thing — from zdnet.com by Steve Ranger
Apps that can mimic human conversations are one of the hottest technologies around right now. Here’s why.

Excerpt:

Bots are applications that are designed to respond to conversational language. The aim is to create services — whether that’s the ability to order a pizza or to enter a meeting in a calendar — where the dialogue with the app is as natural and apparently unscripted as an interaction you might have with a human.

Chat bots are like narrow versions of digital assistants like Apple’s Siri, Amazon’s Alexa or Google Assistant, designed to perform specific tasks. Interest in bots has rocketed recently and developers are racing to incorporate them into services built on popular messaging apps and websites to create a form of virtual customer services.

 

 

 

An open letter to Microsoft and Google’s Partnership on AI — from wired.com by Gerd Leonhard
In a world where machines may have an IQ of 50,000, what will happen to the values and ethics that underpin privacy and free will?

Excerpt:

Dear Francesca, Eric, Mustafa, Yann, Ralf, Demis and others at IBM, Microsoft, Google, Facebook and Amazon.

The Partnership on AI to benefit people and society is a welcome change from the usual celebration of disruption and magic technological progress. I hope it will also usher in a more holistic discussion about the global ethics of the digital age. Your announcement also coincides with the launch of my book Technology vs. Humanity which dramatises this very same question: How will technology stay beneficial to society?

This open letter is my modest contribution to the unfolding of this new partnership. Data is the new oil – which now makes your companies the most powerful entities on the globe, way beyond oil companies and banks. The rise of ‘AI everywhere’ is certain to only accelerate this trend. Yet unlike the giants of the fossil-fuel era, there is little oversight on what exactly you can and will do with this new data-oil, and what rules you’ll need to follow once you have built that AI-in-the-sky. There appears to be very little public stewardship, while accepting responsibility for the consequences of your inventions is rather slow in surfacing.

 

From DSC:
We are hopefully creating the future that we want — i.e., creating the future of our dreams, not nightmares.  The 14 items below show that technology is often waaay out ahead of us…and it takes time for other areas of society to catch up (such as areas that involve making policies, laws, and/or if we should even be doing these things in the first place). 

Such reflections always make me ask:

  • Who should be involved in some of these decisions?
  • Who is currently getting asked to the decision-making tables for such discussions?
  • How does the average citizen participate in such discussions?

Readers of this blog know that I’m generally pro-technology. But with the exponential pace of technological change, we need to slow things down enough to make wise decisions.

 


 

Google AI invents its own cryptographic algorithm; no one knows how it works — from arstechnica.co.uk by Sebastian Anthony
Neural networks seem good at devising crypto methods; less good at codebreaking.

Excerpt:

Google Brain has created two artificial intelligences that evolved their own cryptographic algorithm to protect their messages from a third AI, which was trying to evolve its own method to crack the AI-generated crypto. The study was a success: the first two AIs learnt how to communicate securely from scratch.

 

 

IoT growing faster than the ability to defend it — from scientificamerican.com by Larry Greenemeier
Last week’s use of connected gadgets to attack the Web is a wake-up call for the Internet of Things, which will get a whole lot bigger this holiday season

Excerpt:

With this year’s approaching holiday gift season the rapidly growing “Internet of Things” or IoT—which was exploited to help shut down parts of the Web this past Friday—is about to get a lot bigger, and fast. Christmas and Hanukkah wish lists are sure to be filled with smartwatches, fitness trackers, home-monitoring cameras and other wi-fi–connected gadgets that connect to the internet to upload photos, videos and workout details to the cloud. Unfortunately these devices are also vulnerable to viruses and other malicious software (malware) that can be used to turn them into virtual weapons without their owners’ consent or knowledge.

Last week’s distributed denial of service (DDoS) attacks—in which tens of millions of hacked devices were exploited to jam and take down internet computer servers—is an ominous sign for the Internet of Things. A DDoS is a cyber attack in which large numbers of devices are programmed to request access to the same Web site at the same time, creating data traffic bottlenecks that cut off access to the site. In this case the still-unknown attackers used malware known as “Mirai” to hack into devices whose passwords they could guess, because the owners either could not or did not change the devices’ default passwords.

 

 

How to Get Lost in Augmented Reality — from inverse.com by Tanya Basu; with thanks to Woontack Woo for this resource
There are no laws against projecting misinformation. That’s good news for pranksters, criminals, and advertisers.

Excerpt:

Augmented reality offers designers and engineers new tools and artists and new palette, but there’s a dark side to reality-plus. Because A.R. technologies will eventually allow individuals to add flourishes to the environments of others, they will also facilitate the creation of a new type of misinformation and unwanted interactions. There will be advertising (there is always advertising) and there will also be lies perpetrated with optical trickery.

Two computer scientists-turned-ethicists are seriously considering the problematic ramifications of a technology that allows for real-world pop-ups: Keith Miller at the University of Missouri-St. Louis and Bo Brinkman at Miami University in Ohio. Both men are dismissive of Pokémon Go because smartphones are actually behind the times when it comes to A.R.

A very important question is who controls these augmentations,” Miller says. “It’s a huge responsibility to take over someone’s world — you could manipulate people. You could nudge them.”

 

 

Can we build AI without losing control over it? — from ted.com by Sam Harris

Description:

Scared of superintelligent AI? You should be, says neuroscientist and philosopher Sam Harris — and not just in some theoretical way. We’re going to build superhuman machines, says Harris, but we haven’t yet grappled with the problems associated with creating something that may treat us the way we treat ants.

 

 

Do no harm, don’t discriminate: official guidance issued on robot ethics — from theguardian.com
Robot deception, addiction and possibility of AIs exceeding their remits noted as hazards that manufacturers should consider

Excerpt:

Isaac Asimov gave us the basic rules of good robot behaviour: don’t harm humans, obey orders and protect yourself. Now the British Standards Institute has issued a more official version aimed at helping designers create ethically sound robots.

The document, BS8611 Robots and robotic devices, is written in the dry language of a health and safety manual, but the undesirable scenarios it highlights could be taken directly from fiction. Robot deception, robot addiction and the possibility of self-learning systems exceeding their remits are all noted as hazards that manufacturers should consider.

 

 

World’s first baby born with new “3 parent” technique — from newscientist.com by Jessica Hamzelou

Excerpt:

It’s a boy! A five-month-old boy is the first baby to be born using a new technique that incorporates DNA from three people, New Scientist can reveal. “This is great news and a huge deal,” says Dusko Ilic at King’s College London, who wasn’t involved in the work. “It’s revolutionary.”

The controversial technique, which allows parents with rare genetic mutations to have healthy babies, has only been legally approved in the UK. But the birth of the child, whose Jordanian parents were treated by a US-based team in Mexico, should fast-forward progress around the world, say embryologists.

 

 

Scientists Grow Full-Sized, Beating Human Hearts From Stem Cells — from popsci.com by Alexandra Ossola
It’s the closest we’ve come to growing transplantable hearts in the lab

Excerpt:

Of the 4,000 Americans waiting for heart transplants, only 2,500 will receive new hearts in the next year. Even for those lucky enough to get a transplant, the biggest risk is the their bodies will reject the new heart and launch a massive immune reaction against the foreign cells. To combat the problems of organ shortage and decrease the chance that a patient’s body will reject it, researchers have been working to create synthetic organs from patients’ own cells. Now a team of scientists from Massachusetts General Hospital and Harvard Medical School has gotten one step closer, using adult skin cells to regenerate functional human heart tissue, according to a study published recently in the journal Circulation Research.

 

 

 

Achieving trust through data ethics — from sloanreview.mit.edu
Success in the digital age requires a new kind of diligence in how companies gather and use data.

Excerpt:

A few months ago, Danish researchers used data-scraping software to collect the personal information of nearly 70,000 users of a major online dating site as part of a study they were conducting. The researchers then published their results on an open scientific forum. Their report included the usernames, political leanings, drug usage, and other intimate details of each account.

A firestorm ensued. Although the data gathered and subsequently released was already publicly available, many questioned whether collecting, bundling, and broadcasting the data crossed serious ethical and legal boundaries.

In today’s digital age, data is the primary form of currency. Simply put: Data equals information equals insights equals power.

Technology is advancing at an unprecedented rate — along with data creation and collection. But where should the line be drawn? Where do basic principles come into play to consider the potential harm from data’s use?

 

 

“Data Science Ethics” course — from the University of Michigan on edX.org
Learn how to think through the ethics surrounding privacy, data sharing, and algorithmic decision-making.

About this course
As patients, we care about the privacy of our medical record; but as patients, we also wish to benefit from the analysis of data in medical records. As citizens, we want a fair trial before being punished for a crime; but as citizens, we want to stop terrorists before they attack us. As decision-makers, we value the advice we get from data-driven algorithms; but as decision-makers, we also worry about unintended bias. Many data scientists learn the tools of the trade and get down to work right away, without appreciating the possible consequences of their work.

This course focused on ethics specifically related to data science will provide you with the framework to analyze these concerns. This framework is based on ethics, which are shared values that help differentiate right from wrong. Ethics are not law, but they are usually the basis for laws.

Everyone, including data scientists, will benefit from this course. No previous knowledge is needed.

 

 

 

Science, Technology, and the Future of Warfare — from mwi.usma.edu by Margaret Kosal

Excerpt:

We know that emerging innovations within cutting-edge science and technology (S&T) areas carry the potential to revolutionize governmental structures, economies, and life as we know it. Yet, others have argued that such technologies could yield doomsday scenarios and that military applications of such technologies have even greater potential than nuclear weapons to radically change the balance of power. These S&T areas include robotics and autonomous unmanned system; artificial intelligence; biotechnology, including synthetic and systems biology; the cognitive neurosciences; nanotechnology, including stealth meta-materials; additive manufacturing (aka 3D printing); and the intersection of each with information and computing technologies, i.e., cyber-everything. These concepts and the underlying strategic importance were articulated at the multi-national level in NATO’s May 2010 New Strategic Concept paper: “Less predictable is the possibility that research breakthroughs will transform the technological battlefield…. The most destructive periods of history tend to be those when the means of aggression have gained the upper hand in the art of waging war.”

 

 

Low-Cost Gene Editing Could Breed a New Form of Bioterrorism — from bigthink.com by Philip Perry

Excerpt:

2012 saw the advent of gene editing technique CRISPR-Cas9. Now, just a few short years later, gene editing is becoming accessible to more of the world than its scientific institutions. This new technique is now being used in public health projects, to undermine the ability of certain mosquitoes to transmit disease, such as the Zika virus. But that initiative has had many in the field wondering whether it could be used for the opposite purpose, with malicious intent.

Back in February, U.S. National Intelligence Director James Clapper put out a Worldwide Threat Assessment, to alert the intelligence community of the potential risks posed by gene editing. The technology, which holds incredible promise for agriculture and medicine, was added to the list of weapons of mass destruction.

It is thought that amateur terrorists, non-state actors such as ISIS, or rouge states such as North Korea, could get their hands on it, and use this technology to create a bioweapon such as the earth has never seen, causing wanton destruction and chaos without any way to mitigate it.

 

What would happen if gene editing fell into the wrong hands?

 

 

 

Robot nurses will make shortages obsolete — from thedailybeast.com by Joelle Renstrom
By 2022, one million nurse jobs will be unfilled—leaving patients with lower quality care and longer waits. But what if robots could do the job?

Excerpt:

Japan is ahead of the curve when it comes to this trend, given that its elderly population is the highest of any country. Toyohashi University of Technology has developed Terapio, a robotic medical cart that can make hospital rounds, deliver medications and other items, and retrieve records. It follows a specific individual, such as a doctor or nurse, who can use it to record and access patient data. Terapio isn’t humanoid, but it does have expressive eyes that change shape and make it seem responsive. This type of robot will likely be one of the first to be implemented in hospitals because it has fairly minimal patient contact, works with staff, and has a benign appearance.

 

 

 

partnershiponai-sept2016

 

Established to study and formulate best practices on AI technologies, to advance the public’s understanding of AI, and to serve as an open platform for discussion and engagement about AI and its influences on people and society.

 

GOALS

Support Best Practices
To support research and recommend best practices in areas including ethics, fairness, and inclusivity; transparency and interoperability; privacy; collaboration between people and AI systems; and of the trustworthiness, reliability, and robustness of the technology.

Create an Open Platform for Discussion and Engagement
To provide a regular, structured platform for AI researchers and key stakeholders to communicate directly and openly with each other about relevant issues.

Advance Understanding
To advance public understanding and awareness of AI and its potential benefits and potential costs to act as a trusted and expert point of contact as questions/concerns arise from the public and others in the area of AI and to regularly update key constituents on the current state of AI progress.

 

 

 

IBM Watson’s latest gig: Improving cancer treatment with genomic sequencing — from techrepublic.com by Alison DeNisco
A new partnership between IBM Watson Health and Quest Diagnostics will combine Watson’s cognitive computing with genetic tumor sequencing for more precise, individualized cancer care.

 

 



Addendum on 11/1/16:



An open letter to Microsoft and Google’s Partnership on AI — from wired.com by Gerd Leonhard
In a world where machines may have an IQ of 50,000, what will happen to the values and ethics that underpin privacy and free will?

Excerpt:

Dear Francesca, Eric, Mustafa, Yann, Ralf, Demis and others at IBM, Microsoft, Google, Facebook and Amazon.

The Partnership on AI to benefit people and society is a welcome change from the usual celebration of disruption and magic technological progress. I hope it will also usher in a more holistic discussion about the global ethics of the digital age. Your announcement also coincides with the launch of my book Technology vs. Humanity which dramatises this very same question: How will technology stay beneficial to society?

This open letter is my modest contribution to the unfolding of this new partnership. Data is the new oil – which now makes your companies the most powerful entities on the globe, way beyond oil companies and banks. The rise of ‘AI everywhere’ is certain to only accelerate this trend. Yet unlike the giants of the fossil-fuel era, there is little oversight on what exactly you can and will do with this new data-oil, and what rules you’ll need to follow once you have built that AI-in-the-sky. There appears to be very little public stewardship, while accepting responsibility for the consequences of your inventions is rather slow in surfacing.

 

 

whydeeplearningchangingyourlife-sept2016

 

Why deep learning is suddenly changing your life — from fortune.com by Roger Parloff

Excerpt:

Most obviously, the speech-recognition functions on our smartphones work much better than they used to. When we use a voice command to call our spouses, we reach them now. We aren’t connected to Amtrak or an angry ex.

In fact, we are increasingly interacting with our computers by just talking to them, whether it’s Amazon’s Alexa, Apple’s Siri, Microsoft’s Cortana, or the many voice-responsive features of Google. Chinese search giant Baidu says customers have tripled their use of its speech interfaces in the past 18 months.

Machine translation and other forms of language processing have also become far more convincing, with Google, Microsoft, Facebook, and Baidu unveiling new tricks every month. Google Translate now renders spoken sentences in one language into spoken sentences in another for 32 pairs of languages, while offering text translations for 103 tongues, including Cebuano, Igbo, and Zulu. Google’s Inbox app offers three ready-made replies for many incoming emails.

But what most people don’t realize is that all these breakthroughs are, in essence, the same breakthrough. They’ve all been made possible by a family of artificial intelligence (AI) techniques popularly known as deep learning, though most scientists still prefer to call them by their original academic designation: deep neural networks.

 

Even the Internet metaphor doesn’t do justice to what AI with deep learning will mean, in Ng’s view. “AI is the new electricity,” he says. “Just as 100 years ago electricity transformed industry after industry, AI will now do the same.”

 

 

ai-machinelearning-deeplearning-relationship-roger-fall2016

 

 

Graphically speaking:

 

ai-machinelearning-deeplearning-relationship-fall2016

 

 

 

“Our sales teams are using neural nets to recommend which prospects to contact next or what kinds of product offerings to recommend.”

 

 

One way to think of what deep learning does is as “A to B mappings,” says Baidu’s Ng. “You can input an audio clip and output the transcript. That’s speech recognition.” As long as you have data to train the software, the possibilities are endless, he maintains. “You can input email, and the output could be: Is this spam or not?” Input loan applications, he says, and the output might be the likelihood a customer will repay it. Input usage patterns on a fleet of cars, and the output could advise where to send a car next.

 

 

 

 

Microsoft just democratized virtual reality with $299 headsets — from pcworld.com by Gordon Mah Ung

Excerpt:

VR just got a lot cheaper.

Microsoft on Wednesday morning said PC OEMs will soon be shipping VR headsets that enable virtual reality and mixed reality starting at $299.

Details of the hardware and how it works were sparse, but Microsoft said HP, Dell, Lenovo, Asus, and Acer will be shipping the headsets timed with its upcoming Windows 10 Creators Update, due in spring 2017.

Despite the relatively low price, the upcoming headsets may have a big advantage over HTC and Valve’s Vive and Facebook’s Oculus Rift: no need for separate calibration hardware to function. Both Vive and Oculus require multiple emitters on stands to be placed around a room for the positioning to function.

 

microsoft-299-vr-headsets-10-26-16

 

 

 

Introducing the new Surface family — from microsoft.com
To do great things, you need powerful tools that deliver an ideal balance of craftsmanship, performance, and versatility. Every Surface device is engineered with these things in mind, and you at the center. And that’s how the Surface family does more. Just like you.

 

 

microsoftintrossurfacedesktop2-10-26-16

 

Also see the new Surface Dial:

 

mssurfacedial-10-26-16

 

 

 

Microsoft ‘Surface Studio’ and ‘Dial’ Up Close  — from blogs.barrons.com by Tiernan Ray

Excerpt (emphasis DSC):

Microsoft (MSFT) this morning held an event in downtown Manhattan that included both an update to Windows, the “Creators” edition, and also new versions of the company’s Surface tablet computer, including a revamp of the “Surface Book” laptop and tablet combo device, and a new desktop machine called the “Surface Studio” that has the thinnest display ever made, the company claims.

Perhaps the most intriguing thing at the event was something called “Dial,” a rotating puck device that can function like a wireless mouse with the Studio, but can also be placed right on top of the display itself to bring up a context-specific menu of functions, or to perform actions like cut and paste.

 

 

 

Microsoft announces its first desktop PC, the $3,000 Surface Studio — from businessinsider.com by Steve Kovach

Excerpt (emphasis DSC):

Microsoft on Wednesday announced its first desktop PC, the Surface Studio.

It’s an all-in-one computer, designed to compete with Apple’s iMac. The PC is geared toward professionals, and it has high-end specs designed for tasks like video or photo editing.

But the real surprises are the adjustable display and a new accessory called the Surface Dial. The display can lie nearly flat on the table, giving graphics artists the ability to draw and work. The Surface Dial can be placed on the screen to bring up color palettes and other options. The Surface Dial will work with other Surface products — the Surface Pro and Surface Book — but you won’t be able to use it on the screens.

 

 

 

Microsoft wants to bring machine learning into the mainstream — from networkworld.com by Steven Max Patterson
Microsoft released the beta of the Cognitive Toolkit with machine learning models, infrastructure and development tools, enabling customers to start building

Excerpt (emphasis DSC):

Microsoft just released the open-source licensed beta release of the Microsoft Cognitive Toolkit on Github. This announcement represents a shift in Microsoft’s customer focus from research to implementation. It is an update to the Computational Network Toolkit (CNTK). The toolkit is a supervised machine learning system in the same category of other open-source projects such as Tensorflow, Caffe and Torch.

Microsoft is one of the leading investors in and contributors to the open machine learning software and research community. A glance at the Neural Information Processing Systems (NIPS) conference reveals that there are just four major technology companies committed to moving the field of neural networks forward: Microsoft, Google, Facebook and IBM.

This announcement signals Microsoft interest to bring machine learning into the mainstream. The open source license reveals Microsoft’s continued collaboration with the machine learning community.

 

 

 

Microsoft just democratized virtual reality with $299 headsets — from pcworld.com by Gordon Mah Ung

Excerpt:

VR just got a lot cheaper.

Microsoft on Wednesday morning said PC OEMs will soon be shipping VR headsets that enable virtual reality and mixed reality starting at $299.

Details of the hardware and how it works were sparse, but Microsoft said HP, Dell, Lenovo, Asus, and Acer will be shipping the headsets timed with its upcoming Windows 10 Creators Update, due in spring 2017.

Despite the relatively low price, the upcoming headsets may have a big advantage over HTC and Valve’s Vive and Facebook’s Oculus Rift: no need for separate calibration hardware to function. Both Vive and Oculus require multiple emitters on stands to be placed around a room for the positioning to function.

 

microsoft-299-vr-headsets-10-26-16

 

 

The 10 Coolest Features Coming to Windows 10 — from wired.com by Michael Calore

Excerpt:

Microsoft is gearing up for a Windows refresh. The Windows 10 Creators Update will arrive on all Windows 10 devices for free in the spring of 2017. Today, Microsoft showed off all the new features coming to the multi-mode OS. Here’s the best of what will be coming to your Windows PC or Surface device.

 

 

 

 

 

The Surface Studio Story: How Microsoft Reimagined The Desktop PC For Creativity — from fastcompany.com by Mark Sullivan
A 28-inch screen, a very special hinge, and a new type of input device add up to an experience conceived with artists and designers in mind.

 

 

 

LinkedIn unveils the top skills that can get you hired in 2017

Excerpt:

Data and cloud reign supreme: I smell a dynasty in the making! Cloud and distributed computing has remained in the #1 spot for the past two years and is the Top Skill on almost every list — including France, Germany, India, Ireland, Singapore, the U.S., and Spain. Following closely on its heels is statistical analysis and data mining, which came in #2 last year, and #1 in 2014. These skills are in such high demand because they’re at the cutting edge of technology. Employers need employees with cloud and distributed computing, statistical analysis and data mining skills to stay competitive.

 

linkedin-topskills2016

 

 

linkedin-topskillsglobal2016

 

From DSC:
The need for people who have “IT”-related skills is consistent across the globe.

 

 

 

These VR apps are designed to replace your office and daily commute — from uploadvr.com by David Matthews

Excerpt:

Eric Florenzano is a VR consultant and game designer who lives in the San Francisco Bay area. He is currently working on new game ideas with a small team spread out across the US.

So far, so normal, right?. But what you don’t know is that Florenzano is one of a handful of advocates pioneering something they claim could transform work, end commuting, and even lead to a mass exodus from large cities: the virtual office.

“There’s no physical office [for us.] It’s all virtual. That’s the crazy thing,” explains Florenzano. Rather than meeting in person or arranging a conference call, his team jumps into Bigscreen, which allows users, who are represented by floating heads and controllers, to share their monitors in virtual rooms.

 

uploadvrimage-oct2016

 

Also see:

 

bigscreen_rocket_league

 

 

How to train thousands of surgeons at the same time in virtual reality — from singularity.com by Sveta McShane

Excerpt:

Recently, I wrote about how the future of surgery is going to be robotic, data-driven and artificially intelligent.

Although it’s approaching fast, that future is still in the works. In the meantime, there is a real need to train surgeons in a more scalable way, according to Dr. Shafi Ahmed, a surgeon at the Royal London and St. Bartholomew’s hospitals and cofounder of Medical Realities, a company developing a new virtual reality platform for surgical training.

In April of 2016, he live-streamed a cancer surgery in virtual reality. The procedure, a low-risk removal of a colon tumor in a man in his 70s, was filmed in 360 video and streamed live across the world. The high-def 4K camera captured the doctors’ every movement, and those watching could see everything that was happening in immersive detail.

 

 

Duke neurosurgeons test Hololens as an AR assist on tricky procedures — from techcrunch.com by Devin Coldewey,

Excerpt:

“Since we can manipulate a hologram without actually touching anything, we have access to everything we need without breaking a sterile field. In the end, this is actually an improvement over the current OR system because the image is directly overlaid on the patient, without having to look to computer screens for aid,” said Cutler in a Duke news release.

 

 

OTOY Enables Groundbreaking VR Social Features — from uploadvr.com

Excerpt:

Oculus and OTOY may have achieved a breakthrough in social VR functionality.

VR headset owners should soon be able to share a variety of environments and Web-based content with one another in virtual reality. For example, friends can feel like they are together on the bridge of the Enterprise, and on the viewscreen of the ship they see a list of Star Trek episodes to watch with one another.

We have yet to test all of this functionality first-hand, but we’ve seen some of it live in the Gear VR — accessing, for example, a Star Trek environment inside OTOY’s ORBX Media Player app from within the Oculus Social Beta.

 

 

 

 

VR just got a lot more stylish with the Dlodlo V1 Glasses — from seriouswonder.com by B.J. Murphy

 

dlodlovr-glasses-oct2016

 

 

Microsoft CEO says mixed reality is the ‘ultimate computer’ — from engadget.com by Nicole Lee
The company’s goal is to “invent new computers and new computing.”

Excerpt:

“Whether it be HoloLens, mixed reality, or Surface, our goal is to invent new computers and new computing,” he added. This also includes investing in artificial intelligence, which is now its own group within the company.

Nadella admitted that for a long time, Microsoft was complacent. “Early success is probably the worst thing that can happen in life,” he said. But now, he wants Microsoft to be more of a “learn-it-all” culture rather than a “know-it-all” culture.

 

 

A Chinese Lens on Augmented, Virtual and Mixed Reality — from adage.com by David Berkowitz

Excerpt:

These networks keep growing. One of the hosts of the conference, ARinChina, brought me over along with a group of about a half-dozen Westerners. This media company connects a community of 60,000 developers, all of whom are invested in staying ahead of breakthrough technologies like virtual reality (VR), augmented reality (AR) and the hybrid known as mixed reality (MR). The AR track where I presented was hosted by RAVV, a new technology think tank that is pulling together subject matter experts across robotics, artificial intelligence, autonomous vehicles, VR and AR. RAVV is building an international ecosystem that includes its own approaches for startup incubation, knowledge sharing and other collaborative endeavors.

To get a sense of how global the emerging mixed reality field is, consider that, in February, China’s e-commerce giant Alibaba led the $800 million Series C round for Florida-based Magic Leap, an MR startup. As our daily reality becomes more virtual and augmented, it doesn’t matter where someone is on the map. This field is connecting far-flung practitioners, hinting at a time, soon, when AR, VR and MR will connect people in ways never before possible.

 

 


Addendum 10/25/16:

 

 

 

From DSC:
The other day I had posted some ideas in regards to how artificial intelligence, machine learning, and augmented reality are coming together to offer some wonderful new possibilities for learning (see: “From DSC: Amazing possibilities coming together w/ augmented reality used in conjunction w/ machine learning! For example, consider these ideas.”) Here is one of the graphics from that posting:

 

horticulturalapp-danielchristian

These affordances are just now starting to be uncovered as machines are increasingly able to ascertain patterns, things, objects…even people (which calls for a separate posting at some point).

But mainly, for today, I wanted to highlight an excellent comment/reply from Nikos Andriotis @ Talent LMS who gave me permission to highlight his solid reflections and ideas:

 

nikosandriotisidea-oct2016

https://www.talentlms.com/blog/author/nikos-andriotis

 

From DSC:
Excellent reflection/idea Nikos — that would represent some serious personalized, customized learning!

Nikos’ innovative reflections also made me think about his ideas in light of their interaction or impact with web-based learner profiles, credentialing, badging, and lifelong learning.  What’s especially noteworthy here is that the innovations (that impact learning) continue to occur mainly in the online and blended learning spaces.

How might the ramifications of these innovations impact institutions who are pretty much doing face-to-face only (in terms of their course delivery mechanisms and pedagogies)?

Given:

  • That Microsoft purchased LinkedIn and can amass a database of skills and open jobs (playing a cloud-based matchmaker)
  • Everyday microlearning is key to staying relevant (RSS feeds and tapping into “streams of content” are important here, and so is the use of Twitter)
  • 65% of today’s students will be doing jobs that don’t even exist yet (per Microsoft & The Future Laboratory in 2016)

 

futureproofyourself-msfuturelab-2016

  • The exponential pace of technological change
  • The increasing level of experimentation with blockchain (credentialing)
  • …and more

…what do the futures look like for those colleges and universities that operate only in the face-to-face space and who are not innovating enough?

 

 

 
 

From DSC:
For those who like typography & art, you’ll be interested to see this mixed-reality-based installation!

 

mr-dongyoonpark-hololens-oct2016

Holographic Type Sculpture with Typography Insight for HoloLens — from medium.com by DongYoon Park

Excerpt:

Recently, I visited Bellevue Arts Museum http://www.bellevuearts.org/ and conceived of a ‘Holographic art sculpture’ for installation in the museum’s beautiful atrium. Using my app Typography Insight for HoloLens, http://typeinsight.org/hololens.html, I created a ‘Holographic Type Sculpture’ and placed it in Bellevue Arts Museum’s atrium and rooftop sculpture garden (coincidentally, its name is ‘Court of Light’). You can experience the Mixed Reality Capture below.

 

 

See also:

mr-dongyoonpark-hololens2-oct2016

 

 

 

9 Best Augmented Reality Smart Glasses 2016 — from appcessories.co.uk

Excerpt:

2016 has been promoted as the year of virtual reality. In the space of a few months, we have seen brands like Facebook, Samsung and Sony have all come out with VR products of their own. But another closely related industry has been making a growing presence in the tech industry. Augmented reality, or simply AR, is gaining ground among tech companies and even consumers. Google was the first contender for coolest AR product with its Google Glass. Too bad that did not work out; it felt like a product too ahead of its time. Companies like Microsoft, Magic Leap and even Apple are hoping to pick up from where Google left off. They are creating their own smart glasses that will, hopefully, do better than Google Glass. In our article, we look at some of the coolest Augmented Reality smart glasses around.

Some of them are already out while others are in development.

 

 

The holy grail of Virtual Reality: A complete suspension of disbelief — from labster.com by Marian Reed

Excerpt:

It’s no secret that we here at Labster are pretty excited about VR.  However, if we are to successfully introduce VR into education and training we need to know how to create VR simulations that unlock these new great ways of learning.

 

 

 

 

Computer science researchers create augmented reality education tool — from ucalgary.ca by Erin Guiltenane

Excerpt (emphasis DSC):

Christian Jacob and Markus Santoso are trying to re-create the experience of the aforementioned agents in Fantastic Voyage. Working with 3D modelling company Zygote, they and recent MSc graduate Douglas Yuen have created HoloCell, an educational software. Using Microsoft’s revolutionary HoloLens AR glasses, HoloCell provides a mixed reality experience allowing users to explore a 3D simulation of the inner workings, organelles, and molecules of a healthy human cell.

 

holocell-sept2016

 

 

 

Upload, Google, HTC and Udacity join forces for new VR education program — from  uploadvr.com

Excerpt:

Upload is teaming up with Udacity, Google and HTC to build an industry-recognized VR certification program.

According to Udacity representatives, the organization will now be adding a VR track to its “nanodegree”program. Udacity’s nanodegrees are certification routes that can be completed completely online at a student’s own pace. These courses typically take between 6-12 months and cost $199 per month. Students will also receive half of their tuition back if they complete a course within six months. The new VR course will follow this pattern as well.

The VR nanodegree program was curated by Udacity after the organization interviewed dozens of VR savvy companies about the type of skills they look for in a potential new hire. This information was then built into a curriculum through a joint effort between Google, HTC and Upload.

 

 

 

Virtual reality helps Germany catch last Nazi war criminals — from theguardian.com by Agence France-Presse
Lack of knowledge no longer an excuse as precise 3D model of Auschwitz, showing gas chambers and crematoria, helps address atrocities

Excerpt:

German prosecutors and police have developed 3D technology to help them catch the last living Nazi war criminals with a highly precise model of Auschwitz.

Also related to this:

Auschwitz war criminals targeted with help of virtual reality — from jpost.com by

Excerpt:

German prosecutors and police have begun using virtual reality headsets in their quest to bring the last remaining Auschwitz war criminals to justice, AFP reported Sunday.

Using the blueprints of the death camp in Nazi-occupied Poland, Bavarian state crime office digital imaging expert Ralf Breker has created a virtual reality model of Auschwitz which allows judges and prosecutors to mimic moving around the camp as it stood during the Holocaust.

 

 

 

How the UN thinks virtual reality could not only build empathy, but catalyze change, too — from yahoo.com by Lulu Chang

Excerpt:

Technology is hoping to turn empathy into action. Or at least, the United Nations is hoping to do so. The intergovernmental organization is more than seven decades old at this point, but it’s constantly finding new ways to better the world’s citizenry. And the latest tool in its arsenal? Virtual reality.

Last year, the UN debuted its United Nations Virtual Reality, which uses the technology to advocate for communities the world over. And more recently, the organization launched an app made specifically for virtual reality films.  First debuted at the Toronto International Film Festival, this app encourages folks to not only watch the UN’s VR films, but to then take action by way of donations or volunteer work.

 

 

 

Occipital Wants to Turn iPhones into Mixed Virtual Reality Headsets — from next.reality.news by Adam Dachis

Excerpt:

If you’re an Apple user and want an untethered virtual reality system, you’re currently stuck with Google Cardboard, which doesn’t hold a candle to the room scale VR provided by the HTC Vive (a headset not compatible with Macs, by the way). But spatial computing company Occipital just figured out how to use their Structure Core 3D Sensor to provide room scale VR to any smartphone headset—whether it’s for an iPhone or Android.

 

occipital-10-2-16

 

 

‘The Body VR’ Brings Educational Tour Of The Human Body To HTC Vive Today — from uploadvr.com by Jamie Feltham on October 3rd, 2016

 Excerpt:

The Body VR is a great example of how the Oculus Rift and Gear VR can be used to educate as well as entertain. Starting today, it’s also a great example of how the HTC Vive can do the same.

The developers previously released this VR biology lesson for free back at the launch of the Gear VR and, in turn, the Oculus Rift. Now an upgraded version is available on Valve and HTC’s Steam VR headset. You’ll still get the original experience in which you explore the human body, travelling through the bloodstream to learn about blood cells and looking at how organelles work. The piece is narrated as you go.

 

 

 

 

Virtual Reality Dazzles Harvard University — from universityherald.com

Excerpt:

For a moment, students were taken into another world without leaving the great halls of Harvard. Some students had a great time exploring the ocean floor and saw unique underwater animals, others tried their hand in hockey, while others screamed as they got into a racecar and sped on a virtual speedway. All of them, getting a taste of what virtual and augmented reality looks like.

All of these, of course, were not just about fun but on how especially augmented and virtual reality can transform every kind of industry. This will be discussed and demonstrated at the i-lab in the coming weeks with Rony Abovitz, CEO of Magic Leap Inc., as the keynote speaker.

Abovitz was responsible for developing the “Mixed Reality Lightfield,” a technology that combines augmented and virtual reality. According to Abovitz, it will help those who are struggling to “transfer two-dimensional information or text into “spatial learning.”

“I think it will make life easier for a lot of people and open doors for a lot of people because we are making technology fit how our brains evolved into the physics of the universe rather than forcing our brains to adapt to a more limited technology,” he added.

 

 


 

Addendum on 10/6/16:

 

 

 

partnershiponai-sept2016

 

Established to study and formulate best practices on AI technologies, to advance the public’s understanding of AI, and to serve as an open platform for discussion and engagement about AI and its influences on people and society.

 

GOALS

Support Best Practices
To support research and recommend best practices in areas including ethics, fairness, and inclusivity; transparency and interoperability; privacy; collaboration between people and AI systems; and of the trustworthiness, reliability, and robustness of the technology.

Create an Open Platform for Discussion and Engagement
To provide a regular, structured platform for AI researchers and key stakeholders to communicate directly and openly with each other about relevant issues.

Advance Understanding
To advance public understanding and awareness of AI and its potential benefits and potential costs to act as a trusted and expert point of contact as questions/concerns arise from the public and others in the area of AI and to regularly update key constituents on the current state of AI progress.

 

 

 
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