Million-dollar babies — from economist.com by
As Silicon Valley fights for talent, universities struggle to hold on to their stars
Excerpt:
THAT a computer program can repeatedly beat the world champion at Go, a complex board game, is a coup for the fast-moving field of artificial intelligence (AI). Another high-stakes game, however, is taking place behind the scenes, as firms compete to hire the smartest AI experts. Technology giants, including Google, Facebook, Microsoft and Baidu, are racing to expand their AI activities. Last year they spent some $8.5 billion on deals, says Quid, a data firm. That was four times more than in 2010.
In the past universities employed the world’s best AI experts. Now tech firms are plundering departments of robotics and machine learning (where computers learn from data themselves) for the highest-flying faculty and students, luring them with big salaries similar to those fetched by professional athletes.
Experts in machine learning are most in demand. Big tech firms use it in many activities, from basic tasks such as spam-filtering and better targeting of online advertisements, to futuristic endeavours such as self-driving cars or scanning images to identify disease.
Also from The Economist, see:
Excerpt:
AI is already starting to generate big financial gains for companies, which helps explain firms’ growing investment in developing AI capabilities. Machine-learning, in which computers become smarter by processing large data-sets, currently has many profitable consumer-facing applications, including image recognition in photographs, spam filtering and those that help to better target advertisements to web surfers. Many of tech firms’ most ambitious projects, including building self-driving cars and designing virtual personal assistants that can understand and execute complex tasks, also rely on artificial intelligence, especially machine-learning and robotics. This has prompted tech firms to try to hire up as much of the top talent as they can from universities, where the best AI experts research and teach. Some worry about the potential of a brain drain from academia into the private sector.
The biggest concern, however, is that one firm corners the majority of the talent in artificial intelligence, creating an intellectual monopoly of sorts.
Now anyone can use Google’s deep learning techniques — from futurism.com by Sarah Marquart
In Brief:
Google announced a new machine learning platform for developers. The company is also open-sourcing tools such as Tensorflow to allow the community to take its internal tools, adapt them for their own uses, and improve them.
…
Google has announced a new machine learning platform for developers at its NEXT Google Cloud Platform user conference. Eric Schmidt, Google’s chairman, explained that Google believes machine learning is “what’s next.”
Using artificial intelligence in the classroom — from educationdive.com by Erin McIntyre
Dive Brief:
Excerpts:
ALGORITHM
A defined list of steps for solving a problem. A computer program can be viewed as an elaborate algorithm. In AI, an algorithm is usually a small procedure that solves a recurrent problem.
MACHINE LEARNING
Computer systems that learn from data, enabling them to make increasingly better predictions.
DECISION THEORY
The mathematical study of strategies for optimal decision-making between options involving different risks or expectations of gain or loss depending on the outcome.
It can be difficult to define artificial intelligence (AI), even for experts. One reason is that what AI includes is constantly shifting. As Nick Bostrom, a leading AI expert from Oxford University, explains: “[a] lot of cutting edge AI has filtered into general applications, often without being called AI because once something becomes useful enough and common enough it is not labeled AI anymore.” Instead, it is considered a computer program, or an algorithm, or an app, but not AI.
Another reason for the difficulty in defining AI is the interdisciplinary nature of the field. Anthropologists, biologists, computer scientists, linguists, philosophers, psychologists, and neuroscientists all contribute to the field of AI, and each group brings their own perspective and terminology.
For our purposes, we define AI as computer systems that have been designed to interact with the world through capabilities (for example, visual perception and speech recognition) and intelligent behaviours (for example, assessing the available information and then taking the most sensible action to achieve a stated goal) that we would think of as essentially human.
IBM’s Rometty wants you to know they’re a ‘cognitive solutions cloud platform company’ — from barrons.com by Tiernan Ray
Excerpt:
Rometty says she is the first IBM chief to ever offer a keynote at the show [CES]. Her framework for everything this evening is that the “future is cognitive,” and we’re headed to a “cognitive IoT.”
…
What happens when everyone becomes digital, she asks. What will differentiate people is understanding all that data. That is the “cognitive era.” “Cognitive is an era of business and an era of technology,” she says. 80% of data out here is “black, invisible,” and “that’s what’s changing,” she says.
Rometty clarifies cognitive is not synonymous with A.I. It is not about systems you program. It is about systems that learn.
…
Her point is that all that “vast IoT data is going to do nothing for you unless you can bring cognitive to it.”
Her big point: “IBM is no longer a hardware, software company,” but a “cognitive solutions cloud platform company.”
SoftBank’s Pepper robot to get even brainier with IBM’s Watson technology — from thenextweb.com by Natt Garun
Excerpt:
When it launched last year, SoftBank’s emotion-reading robot Pepper sold out in just one minute despite its limited utility. Now, Pepper’s about to get smarter thanks to a partnership with IBM to integrate Watson cognitive system into its brains.
With Watson, developers hope to help Pepper understand human emotions more thoroughly to appropriately respond and engage with its users. IBM and SoftBank say the collaboration will also allow Pepper to gather new information from social media to learn how people interact with brands so it knows how to personally reach out to people.
New Media Consortium (NMC) & Educause Learning Initiative (ELI) release the NMC Horizon Report > 2016 Higher Ed Edition — from nmc.org
Excerpt:
The New Media Consortium (NMC) and EDUCAUSE Learning Initiative (ELI) are jointly releasing the NMC Horizon Report > 2016 Higher Education Edition at the 2016 ELI Annual Meeting. This 13th edition describes annual findings from the NMC Horizon Project, an ongoing research project designed to identify and describe emerging technologies likely to have an impact on learning, teaching, and creative inquiry in higher education.
The report identifies six key trends, six significant challenges, and six important developments in educational technology across three adoption horizons spanning over the next one to five years, giving campus leaders, educational technologists, and faculty a valuable guide for strategic technology planning. The report provides higher education leaders with in-depth insight into how trends and challenges are accelerating and impeding the adoption of educational technology, along with their implications for policy, leadership, and practice.
We can do nothing to change the past, but we have enormous power to shape the future. Once we grasp that essential insight, we recognize our responsibility and capability for building our dreams of tomorrow and avoiding our nightmares.
–Edward Cornish
From DSC:
This posting represents Part III in a series of such postings that illustrate how quickly things are moving (Part I and Part II) and to ask:
As I mentioned in Part I, I want to again refer to Gerd Leonhard’s work as it is relevant here, Gerd asserts:
I believe we urgently need to start debating and crafting a global Digital Ethics Treaty. This would delineate what is and is not acceptable under different circumstances and conditions, and specify who would be in charge of monitoring digressions and aberrations.
Looking at several items below, ask yourself…is this the kind of future that we want? There are some things mentioned below that could likely prove to be very positive and helpful. However, there are also some very troubling advancements and developments as well.
The point here is that we had better start talking and discussing the pros and cons of each one of these areas — and many more I’m not addressing here — or our dreams will turn into our nightmares and we will have missed what Edward Cornish and the World Future Society are often trying to get at.
Google’s Artificial Intelligence System Masters Game of ‘Go’ — from abcnews.go.com by Alyssa Newcomb
Excerpt:
Google just mastered one of the biggest feats in artificial intelligence since IBM’s Deep Blue beat Gary Kasparov at chess in 1997.
The search giant’s AlphaGo computer program swept the European champion of Go, a complex game with trillions of possible moves, in a five-game series, according Demis Hassabis, head of Google’s machine learning, who announced the feat in a blog post that coincided with an article in the journal Nature.
While computers can now compete at the grand master level in chess, teaching a machine to win at Go has presented a unique challenge since the game has trillions of possible moves.
Along these lines, also see:
Mastering the game of go with deep neural networks and tree search — from deepmind.com
Harvard is trying to build artificial intelligence that is as fast as the human brain — from futurism.com
Harvard University and IARPA are working together to study how AI can work as efficiently and effectively as the human brain.
Excerpt:
Harvard University has been given $28M by the Intelligence Advanced Projects Activity (IARPA) to study why the human brain is significantly better at learning and retaining information than artificial intelligence (AI). The investment into this study could potentially help researchers develop AI that’s faster, smarter, and more like human brains.
What is digital ethics?
In our hyper-connected world, an explosion of data is combining with pattern recognition, machine learning, smart algorithms, and other intelligent software to underpin a new level of cognitive computing. More than ever, machines are capable of imitating human thinking and decision-making across a raft of workflows, which presents exciting opportunities for companies to drive highly personalized customer experiences, as well as unprecedented productivity, efficiency, and innovation. However, along with the benefits of this increased automation comes a greater risk for ethics to be compromised and human trust to be broken.
According to Gartner, digital ethics is the system of values and principles a company may embrace when conducting digital interactions between businesses, people and things. Digital ethics sits at the nexus of what is legally required; what can be made possible by digital technology; and what is morally desirable.
As digital ethics is not mandated by law, it is largely up to each individual organisation to set its own innovation parameters and define how its customer and employee data will be used.
New algorithm points the way towards regrowing limbs and organs — from sciencealert.com by David Nield
Excerpt:
An international team of researchers has developed a new algorithm that could one day help scientists reprogram cells to plug any kind of gap in the human body. The computer code model, called Mogrify, is designed to make the process of creating pluripotent stem cells much quicker and more straightforward than ever before.
A pluripotent stem cell is one that has the potential to become any type of specialised cell in the body: eye tissue, or a neural cell, or cells to build a heart. In theory, that would open up the potential for doctors to regrow limbs, make organs to order, and patch up the human body in all kinds of ways that aren’t currently possible.
The world’s first robot-run farm will harvest 30,000 heads of lettuce daily — from techinsider.io by Leanna Garfield
Excerpt (from DSC):
The Japanese lettuce production company Spread believes the farmers of the future will be robots.
So much so that Spread is creating the world’s first farm manned entirely by robots. Instead of relying on human farmers, the indoor Vegetable Factory will employ robots that can harvest 30,000 heads of lettuce every day.
Don’t expect a bunch of humanoid robots to roam the halls, however; the robots look more like conveyor belts with arms. They’ll plant seeds, water plants, and trim lettuce heads after harvest in the Kyoto, Japan farm.
Drone ambulances may just be the future of emergency medical vehicles — from interestingengineering.com by Gabrielle Westfield
Excerpt:
Drones are advancing everyday. They are getting larger, faster and more efficient to control. Meanwhile the medical field keeps facing major losses from emergency response vehicles not being able to reach their destination fast enough. Understandable so, I mean especially in the larger cities where traffic is impossible to move swiftly through. Red flashing lights atop or not, sometimes the roads are just not capable of opening up. It makes total sense that the future of ambulances would be paved in the open sky rather than unpredictable roads.
.
Phone shop will be run entirely by Pepper robots — from telegraph.co.uk by
Excerpt (emphasis DSC):
Creator company SoftBank said it planned to open the pop-up mobile store employing only Pepper robots by the end of March, according to Engadget.
The four foot-tall robots will be on hand to answer questions, provide directions and guide customers in taking out phone contracts until early April. It’s currently unknown what brands of phone Pepper will be selling.
Wise.io introduces first intelligent auto reply functionality for customer support organizations — from consumerelectronicsnet.com
Powered by Machine Learning, Wise Auto Response Frees Up Agent Time, Boosting Productivity, Accelerating Response Time and Improving the Customer Experience
Excerpt:
BERKELEY, CA — (Marketwired) — 01/27/16 — Wise.io, which delivers machine learning applications to help enterprises provide a better customer experience, today announced the availability of Wise Auto Response, the first intelligent auto reply functionality for customer support organizations. Using machine learning to understand the intent of an incoming ticket and determine the best available response, Wise Auto Response automatically selects and applies the appropriate reply to address the customer issue without ever involving an agent. By helping customer service teams answer common questions faster, Wise Auto Response removes a high percentage of tickets from the queue, freeing up agents’ time to focus on more complex tickets and drive higher levels of customer satisfaction.
Video game for treating ADHD looks to 2017 debut — from educationnews.org
Excerpt:
Akili Interactive Labs out of Boston has created a video game that they hope will help treat children diagnosed with attention-deficit hyperactivity disorder by teaching them to focus in a distracting environment.
The game, Project: EVO, is meant to be prescribed to children with ADHD as a medical treatment. And after gaining $30.5 million in funding, investors appear to believe in it. The company plans to use the funding to run clinical trials with plans to gain approval from the US Food and Drug Administration in order to be able to launch the game in late 2017.
Players will enter a virtual world filled with colorful distractions and be required to focus on specific tasks such as choosing certain objects while avoiding others. The game looks to train the portion of the brain designed to manage and prioritize all the information taken in at one time.
Addendum on 1/29/16:
Automation potential and wages for US jobs — from McKinsey Global Institute
McKinsey analyzed the detailed work activities for 750+ occupations in the US to estimate the percentage of time that could be automated by adapting currently demonstrated technology.
Also see:
Special Report: 2016 Top Tech to Watch
Spectrum’s annual special report for the technologies to watch this year
From DSC:
Below are some further items that discuss the need for some frameworks, policies, institutes, research, etc. that deal with a variety of game-changing technologies that are quickly coming down the pike (if they aren’t already upon on). We need such things to help us create a positive future.
Also see Part I of this thread of thinking entitled, “The need for ethics, morals, policies, & serious reflection about what kind of future we want has never been greater!“ There have been so many other items that came out since that posting, I felt like I needed to add another one here.
What kind of future do we want? How are we going to insure that we get there?
As the saying goes…”Just because we can do something, doesn’t mean we should.” Or another saying comes to my mind…”What could possibly go wrong with this? It’s a done deal.”
While some of the items below should have very positive impacts on society, I do wonder how long it will take the hackers — the ones who are bent on wreaking havoc — to mess up some of these types of applications…with potentially deadly consequences? Security-related concerns must be dealt with here.
5 amazing and alarming things that may be done with your DNA — from washingtonpost.com by Matt McFarland
Excerpt (emphasis DSC):
Venter is leading efforts to use digital technology to analyze humans in ways we never have before, and the results will have huge implications for society. The latest findings he described are currently being written up for scientific publications. Venter didn’t want to usurp the publications, so he wouldn’t dive into extensive detail of how his team has made these breakthroughs. But what he did share offers an exciting and concerning overview of what lies ahead for humanity. There are social, legal and ethical implications to start considering. Here are five examples of how digitizing DNA will change the human experience:
These are the decisions the Pentagon wants to leave to robots — from defenseone.com by Patrick Tucker
The U.S. military believes its battlefield edge will increasingly depend on automation and artificial intelligence.
Excerpt:
Conducting cyber defensive operations, electronic warfare, and over-the-horizon targeting. “You cannot have a human operator operating at human speed fighting back at determined cyber tech,” Work said. “You are going to need have a learning machine that does that.” He did not say whether the Pentagon is pursuing the autonomous or automatic deployment of offensive cyber capabilities, a controversial idea to be sure. He also highlighted a number of ways that artificial intelligence could help identify new waveforms to improve electronic warfare.
Britain should lead way on genetically engineered babies, says Chief Scientific Adviser — from.telegraph.co.uk by Sarah Knapton
Sir Mark Walport, who advises the government on scientific matters, said it could be acceptable to genetically edit human embryos
Excerpt:
Last week more than 150 scientists and campaigners called for a worldwide ban on the practice, claiming it could ‘irrevocably alter the human species’ and lead to a world where inequality and discrimination were ‘inscribed onto the human genome.’
But at a conference in London [on 12/8/15], Sir Mark Walport, who advises the government on scientific matters, said he believed there were ‘circumstances’ in which the genetic editing of human embyros could be ‘acceptable’.
Cyborg Future: Engineers Build a Chip That Is Part Biological and Part Synthetic — from futurism.com
Excerpt:
Engineers have succeeded in combining an integrated chip with an artificial lipid bilayer membrane containing ATP-powered ion pumps, paving the way for more such artificial systems that combine the biological with the mechanical down the road.
Robots expected to run half of Japan by 2035 — from engadget.com by Andrew Tarantola
Something-something ‘robot overlords’.
Excerpt:
Data analysts Nomura Research Institute (NRI), led by researcher Yumi Wakao, figure that within the next 20 years, nearly half of all jobs in Japan could be accomplished by robots. Working with Professor Michael Osborne from Oxford University, who had previously investigated the same matter in both the US and UK, the NRI team examined more than 600 jobs and found that “up to 49 percent of jobs could be replaced by computer systems,” according to Wakao.
Cambridge University is opening a £10 million centre to study the impact of AI on humanity — from businessinsider.com by Sam Shead
Excerpt:
Cambridge University announced on [12/3/15] that it is opening a new £10 million research centre to study the impact of artificial intelligence on humanity.
The 806-year-old university said the centre, being funded with a grant from non-profit foundation The Leverhulme Trust, will explore the opportunities and challenges facing humanity as a result of further developments in artificial intelligence.
Tech leaders launch nonprofit to save the world from killer robots — from
Elon Musk, Sam Altman, and other tech titans have invested $1 billion in a nonprofit that would help direct artificial intelligence technology toward positive human impact.
2016 will be a pivotal year for social robots — from therobotreport.com by Frank Tobe
1,000 Peppers are selling each month from a big-dollar venture between SoftBank, Alibaba and Foxconn; Jibo just raised another $16 million as it prepares to deliver 7,500+ units in Mar/Apr of 2016; and Buddy, Rokid, Sota and many others are poised to deliver similar forms of social robots.
Excerpt:
These new robots, and the proliferation of mobile robot butlers, guides and kiosks, promise to recognize your voice and face and help you plan your calendar, provide reminders, take pictures of special moments, text, call and videoconference, order fast food, keep watch on your house or office, read recipes, play games, read emotions and interact accordingly, and the list goes on. They are attempting to be analogous to a sharp administrative assistant that knows your schedule, contacts and interests and engages with you about them, helping you stay informed, connected and active.
IBM opens its artificial mind to the world — from fastcompany.com by Sean Captain
IBM is letting companies plug into its Watson artificial intelligence engine to make sense of speech, text, photos, videos, and sensor data.
Excerpt:
Artificial intelligence is the big, oft-misconstrued catchphrase of the day, making headlines recently with the launch of the new OpenAI organization, backed by Elon Musk, Peter Thiel, and other tech luminaries. AI is neither a synonym for killer robots nor a technology of the future, but one that is already finding new signals in the vast noise of collected data, ranging from weather reports to social media chatter to temperature sensor readings. Today IBM has opened up new access to its AI system, called Watson, with a set of application programming interfaces (APIs) that allow other companies and organizations to feed their data into IBM’s big brain for analysis.
GE wants to give industrial machines their own social network with Predix Cloud — from fastcompany.com by Sean Captain
GE is selling a new service that promises to predict when a machine will break down…so technicians can preemptively fix it.
Foresight 2020: The future is filled with 50 billion connected devices — from ibmbigdatahub.com by Erin Monday
Excerpt:
By 2020, there will be over 50 billion connected devices generating continuous data.
This figure is staggering, but is it really a surprise? The world has come a long way from 1992, when the number of computers was roughly equivalent to the population of San Jose. Today, in 2015, there are more connected devices out there than there are human beings. Ubiquitous connectivity is very nearly a reality. Every day, we get a little closer to a time where businesses, governments and consumers are connected by a fluid stream of data and analytics. But what’s driving all this growth?
Designing robots that learn as effortlessly as babies — from singularityhub.com by Shelly Fan
Excerpt:
A wide-eyed, rosy-cheeked, babbling human baby hardly looks like the ultimate learning machine.
But under the hood, an 18-month-old can outlearn any state-of-the-art artificial intelligence algorithm.
Their secret sauce?
They watch; they imitate; and they extrapolate.
Artificial intelligence researchers have begun to take notice. This week, two separate teams dipped their toes into cognitive psychology and developed new algorithms that teach machines to learn like babies. One instructs computers to imitate; the other, to extrapolate.
Researchers have found a new way to get machines to learn faster — from fortune.com by Hilary Brueck
Excerpt:
An international team of data scientists is proud to announce the very latest in machine learning: they’ve built a program that learns… programs. That may not sound impressive at first blush, but making a machine that can learn based on a single example is something that’s been extremely hard to do in the world of artificial intelligence. Machines don’t learn like humans—not as fast, and not as well. And even with this research, they still can’t.
Team showcase how good Watson is at learning — from adigaskell.org
Excerpt:
Artificial intelligence has undoubtedly come a long way in the last few years, but there is still much to be done to make it intuitive to use. IBM’s Watson has been one of the most well known exponents during this time, but despite it’s initial success, there are issues to overcome with it.
A team led by Georgia Tech are attempting to do just that. They’re looking to train Watson to get better at returning answers to specific queries.
Why The Internet of Things will drive a Knowledge Revolution. — from linkedin.com by David Evans
Excerpt:
As these machines inevitably connect to the Internet, they will ultimately connect to each other so they can share, and collaborate on their own findings. In fact, in 2014 machines got their own ”World Wide Web” called RoboEarth, in which to share knowledge with one another. …
The implications of all of this are at minimum twofold:
What we choose to do with this newfound knowledge is of course up to us. We are about to face some significant challenges at scales we have yet to experience.
Drone squad to be launched by Tokyo police — from bbc.com
Excerpt:
A drone squad, designed to locate and – if necessary – capture nuisance drones flown by members of the public, is to be launched by police in Tokyo.
An advance in artificial intelligence rivals human abilities — from todayonline.com by John Markoff
Excerpt:
NEW YORK — Computer researchers reported artificial-intelligence advances [on Dec 10] that surpassed human capabilities for a narrow set of vision-related tasks.
The improvements are noteworthy because so-called machine-vision systems are becoming commonplace in many aspects of life, including car-safety systems that detect pedestrians and bicyclists, as well as in video game controls, Internet search and factory robots.
Somewhat related:
Novo Nordisk, IBM Watson Health to create ‘virtual doctor’ — from wsj.com by Denise Roland
Software could dispense treatment advice for diabetes patients
Excerpt:
Novo Nordisk A/S is teaming up with IBM Watson Health, a division of International Business Machines Corp., to create a “virtual doctor” for diabetes patients that could dispense treatment advice such as insulin dosage.
The Danish diabetes specialist hopes to use IBM’s supercomputer platform, Watson, to analyze health data from diabetes patients to help them manage their disease.
Why Google’s new quantum computer could launch an artificial intelligence arms race — from washingtonpost.com
8 industries robots will completely transform by 2025 — from techinsider.io
Addendums on 12/17/15:
Russia and China are building highly autonomous killer robots — from businessinsider.com.au by Danielle Muoi
Excerpt:
Russia and China are creating highly autonomous weapons, more commonly referred to as killer robots, and it’s putting pressure on the Pentagon to keep up, according to US Deputy Secretary of Defense Robert Work. During a national-security forum on Monday, Work said that China and Russia are heavily investing in a roboticized army, according to a report from Defense One.
Your Algorithmic Self Meets Super-Intelligent AI — from techcrunch.com by Jarno M. Koponen
Excerpt:
At the same time, your data and personalized experiences are used to develop and train the machine learning systems that are powering the Siris, Watsons, Ms and Cortanas. Be it a speech recognition solution or a recommendation algorithm, your actions and personal data affect how these sophisticated systems learn more about you and the world around you.
The less explicit fact is that your diverse interactions — your likes, photos, locations, tags, videos, comments, route selections, recommendations and ratings — feed learning systems that could someday transform into super–intelligent AIs with unpredictable consequences.
As of today, you can’t directly affect how your personal data is used in these systems
Addendum on 12/20/15:
Addendum on 12/21/15:
Addendum on 1/13/16:
The North Face uses IBM’s Watson to make online shopping smarter — from thestreet.com by Rebecca Borison
Excerpt:
Aiming to solve one of e-commerce’s challenges of not offering personalized service, VF Corp’s “The North Face” on Monday launched a new online shopping tool using IBM’s Watson artificial intelligence system.
The tool, which is powered by Fluid and called XPS, guides a consumer through the online store to better find what he or she is looking for.
E-commerce today doesn’t generally give the personal attention a consumer might get when he walks into a store and is greeted by a human being. This new tool seeks to address that challenge.
Watch this robot solve a Rubik’s Cube in a world record 2.39 seconds — from singularityhub.com by Jason Dorrier
.
Novo Nordisk, IBM Watson Health to create ‘virtual doctor’ — from wsj.com by Denise Roland
Software could dispense treatment advice for diabetes patients
Excerpt:
Novo Nordisk A/S is teaming up with IBM Watson Health, a division of International Business Machines Corp., to create a “virtual doctor” for diabetes patients that could dispense treatment advice such as insulin dosage.
The Danish diabetes specialist hopes to use IBM’s supercomputer platform, Watson, to analyze health data from diabetes patients to help them manage their disease.
CES 2016: driverless cars and virtual reality to dominate at world’s biggest technology show — from mirror.co.uk
The world’s biggest technology showcase kicks off in Las Vegas on 6 January 2016. Here’s what we know about what will be happening at the Consumer Electronics Show
Build an automatic cookie decorating machine with LEGO Mindstorms — from lifehacker.com by Patrick Allan
Excerpt:
Decorating cookies by hand can be a pleasant activity, but with a LEGO Mindstorms set, you can crank out a bunch of perfectly iced cookies in no time at all.
World’s First Holographic Navigation System — from machinetomachinemagazine.com
Excerpt:
PARIS – The United States is the first commercial market to receive two innovative telematics devices that apply aerospace technology to land navigation. WayRay Navion is an augmented reality navigation system that projects holographic GPS imagery and driver notifications onto the windshield of a car, a first-of-its-kind for the automobile aftermarket. WayRay Element is a smart tracker that can be plugged into the diagnostics port of any automobile for monitoring driver performance, safety and fuel efficiency. The solutions arrive courtesy of WayRay, a Swiss startup dedicated to the advancement of connected car telematics, and Orange Business Services, a B2B global telecom operator and IT solutions integrator.
From DSC:
This posting is meant to surface the need for debates/discussions, new policy decisions, and for taking the time to seriously reflect upon what type of future that we want. Given the pace of technological change, we need to be constantly asking ourselves what kind of future we want and then to be actively creating that future — instead of just letting things happen because they can happen. (i.e., just because something can be done doesn’t mean it should be done.)
Gerd Leonhard’s work is relevant here. In the resource immediately below, Gerd asserts:
I believe we urgently need to start debating and crafting a global Digital Ethics Treaty. This would delineate what is and is not acceptable under different circumstances and conditions, and specify who would be in charge of monitoring digressions and aberrations.
I am also including some other relevant items here that bear witness to the increasingly rapid speed at which we’re moving now.
Redefining the relationship of man and machine: here is my narrated chapter from the ‘The Future of Business’ book (video, audio and pdf) — from futuristgerd.com by Gerd Leonhard
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Robot revolution: rise of ‘thinking’ machines could exacerbate inequality — from theguardian.com by Heather Stewart
Global economy will be transformed over next 20 years at risk of growing inequality, say analysts
Excerpt (emphasis DSC):
A “robot revolution” will transform the global economy over the next 20 years, cutting the costs of doing business but exacerbating social inequality, as machines take over everything from caring for the elderly to flipping burgers, according to a new study.
As well as robots performing manual jobs, such as hoovering the living room or assembling machine parts, the development of artificial intelligence means computers are increasingly able to “think”, performing analytical tasks once seen as requiring human judgment.
In a 300-page report, revealed exclusively to the Guardian, analysts from investment bank Bank of America Merrill Lynch draw on the latest research to outline the impact of what they regard as a fourth industrial revolution, after steam, mass production and electronics.
“We are facing a paradigm shift which will change the way we live and work,” the authors say. “The pace of disruptive technological innovation has gone from linear to parabolic in recent years. Penetration of robots and artificial intelligence has hit every industry sector, and has become an integral part of our daily lives.”
First genetically modified humans could exist within two years — from telegraph.co.uk by Sarah Knapton
Biotech company Editas Medicine is planning to start human trials to genetically edit genes and reverse blindness
Excerpt:
Humans who have had their DNA genetically modified could exist within two years after a private biotech company announced plans to start the first trials into a ground-breaking new technique.
Editas Medicine, which is based in the US, said it plans to become the first lab in the world to ‘genetically edit’ the DNA of patients suffering from a genetic condition – in this case the blinding disorder ‘leber congenital amaurosis’.
Gartner predicts our digital future — from gartner.com by Heather Levy
Gartner’s Top 10 Predictions herald what it means to be human in a digital world.
Excerpt:
Here’s a scene from our digital future: You sit down to dinner at a restaurant where your server was selected by a “robo-boss” based on an optimized match of personality and interaction profile, and the angle at which he presents your plate, or how quickly he smiles can be evaluated for further review. Or, perhaps you walk into a store to try on clothes and ask the digital customer assistant embedded in the mirror to recommend an outfit in your size, in stock and on sale. Afterwards, you simply tell it to bill you from your mobile and skip the checkout line.
These scenarios describe two predictions in what will be an algorithmic and smart machine driven world where people and machines must define harmonious relationships. In his session at Gartner Symposium/ITxpo 2016 in Orlando, Daryl Plummer, vice president, distinguished analyst and Gartner Fellow, discussed how Gartner’s Top Predictions begin to separate us from the mere notion of technology adoption and draw us more deeply into issues surrounding what it means to be human in a digital world.
Univ. of Washington faculty study legal, social complexities of augmented reality — from phys.org
Excerpt:
But augmented reality will also bring challenges for law, public policy and privacy, especially pertaining to how information is collected and displayed. Issues regarding surveillance and privacy, free speech, safety, intellectual property and distraction—as well as potential discrimination—are bound to follow.
The Tech Policy Lab brings together faculty and students from the School of Law, Information School and Computer Science & Engineering Department and other campus units to think through issues of technology policy. “Augmented Reality: A Technology and Policy Primer” is the lab’s first official white paper aimed at a policy audience. The paper is based in part on research presented at the 2015 International Joint Conference on Pervasive and Ubiquitous Computing, or UbiComp conference.
Along these same lines, also see:
Stuart Russell on Why Moral Philosophy Will Be Big Business in Tech — from kqed.org by
Excerpt (emphasis DSC):
Our first Big Think comes from Stuart Russell. He’s a computer science professor at UC Berkeley and a world-renowned expert in artificial intelligence. His Big Think?
“In the future, moral philosophy will be a key industry sector,” says Russell.
Translation? In the future, the nature of human values and the process by which we make moral decisions will be big business in tech.
Life, enhanced: UW professors study legal, social complexities of an augmented reality future — from washington.edu by Peter Kelley
Excerpt:
But augmented reality will also bring challenges for law, public policy and privacy, especially pertaining to how information is collected and displayed. Issues regarding surveillance and privacy, free speech, safety, intellectual property and distraction — as well as potential discrimination — are bound to follow.
An excerpt from:
THREE: CHALLENGES FOR LAW AND POLICY
AR systems change human experience and, consequently, stand to challenge certain assumptions of law and policy. The issues AR systems raise may be divided into roughly two categories. The first is collection, referring to the capacity of AR devices to record, or at least register, the people and places around the user. Collection raises obvious issues of privacy but also less obvious issues of free speech and accountability. The second rough category is display, referring to the capacity of AR to overlay information over people and places in something like real-time. Display raises a variety of complex issues ranging from
possible tort liability should the introduction or withdrawal of information lead to injury, to issues surrounding employment discrimination or racial profiling. Policymakers and stakeholders interested in AR should consider what these issues mean for them. Issues related to the collection of information include…
HR tech is getting weird, and here’s why — from hrmorning.com by guest poster Julia Scavicchio
Excerpt (emphasis DSC):
Technology has progressed to the point where it’s possible for HR to learn almost everything there is to know about employees — from what they’re doing moment-to-moment at work to what they’re doing on their off hours. Guest poster Julia Scavicchio takes a long hard look at the legal and ethical implications of these new investigative tools.
Why on Earth does HR need all this data? The answer is simple — HR is not on Earth, it’s in the cloud.
The department transcends traditional roles when data enters the picture.
Many ethical questions posed through technology easily come and go because they seem out of this world.
18 AI researchers reveal the most impressive thing they’ve ever seen — from businessinsider.com by Guia Marie Del Prado,
Excerpt:
Where will these technologies take us next? Well to know that we should determine what’s the best of the best now. Tech Insider talked to 18 AI researchers, roboticists, and computer scientists to see what real-life AI impresses them the most.
…
“The DeepMind system starts completely from scratch, so it is essentially just waking up, seeing the screen of a video game and then it works out how to play the video game to a superhuman level, and it does that for about 30 different video games. That’s both impressive and scary in the sense that if a human baby was born and by the evening of its first day was already beating human beings at video games, you’d be terrified.”
Algorithmic Economy: Powering the Machine-to-Machine Age Economic Revolution — from formtek.com by Dick Weisinger
Excerpts:
As technology advances, we are becoming increasingly dependent on algorithms for everything in our lives. Algorithms that can solve our daily problems and tasks will do things like drive vehicles, control drone flight, and order supplies when they run low. Algorithms are defining the future of business and even our everyday lives.
…
Sondergaard said that “in 2020, consumers won’t be using apps on their devices; in fact, they will have forgotten about apps. They will rely on virtual assistants in the cloud, things they trust. The post-app era is coming. The algorithmic economy will power the next economic revolution in the machine-to-machine age. Organizations will be valued, not just on their big data, but on the algorithms that turn that data into actions that ultimately impact customers.”
Related items:
Addendums:
Addendum on 12/14/15:
The Current State of Machine Intelligence — from Shivon Zilis; with thanks to Ronald van Loon for posting this on Twitter
Excerpt:
I spent the last three months learning about every artificial intelligence, machine learning, or data related startup I could find — my current list has 2,529 of them to be exact.
…
The most exciting part for me was seeing how much is happening the the application space. These companies separated nicely into those that reinvent the enterprise, industries, and ourselves.
Also see:
