4 Ways Technology Is Changing Recruiting — from blog.hrtechweekly.com by Ji-A Min

Excerpt:

AI for recruiting
Industry statistics estimate 75 percent of resumes received for a role are screened out. This adds up to the hundreds of hours a recruiter wastes reading unqualified resumes per year. As one of recruiting’s biggest bottlenecks, resume screening is in dire need of better tools to help recruiters manage their time more effectively. This is why AI for recruiting is the biggest topic in HR tech right now. AI and recruiting are a natural fit because AI requires a lot of data to learn and large companies often have millions of resumes in their ATS.

Recruiting software that uses artificial intelligence can automate the screening process by learning the experience, skills, and qualifications required for the job and then shortlisting, ranking, and grading new candidates who match the requirements (e.g., from A to D). This type of AI recruiting software can also be used to source candidates from external databases such as Indeed and CareerBuilder or find previous candidates in your existing ATS database by applying the same learning ability to match candidates to an open req. By automating the manual processes of resume screening and candidate matching, companies who use AI recruiting software have reduced their screening costs by 75%.

Comment from DSC:
This is exactly why I tell my students to be sure they have an account on LinkedIn — which is owned by Microsoft. A piece of Microsoft will likely traverse down the AI-based pathway. (I also encourage them to have other pieces of their digital/online-based footprint such as an account on Twitter as well as their own WordPress-based blog).  Data mining and the use of AI for hiring will only pick up steam from here on out. If you don’t exist online, you had better have a lot of contacts and foots in the doors elsewhere.

 

 

Today more than ever, finding top talent will depend on a recruiter’s ability to intelligently automate their workflow.

 

 

 

Google is shifting their focus from Search to artificial intelligence, CEO says — from zmescience.com by

Excerpt:

While delivering Google’s first quarterly income report on Thursday, the company’s CEO said that Google is transitioning — the search-engine giant will become an A.I.-first company.

“We continue to set the pace in machine learning and A.I. research,” said Google CEO Sundar Pichai said in a call [embedded at the end of the article] to investors on Thursday to report the company’s Q1 2017 earnings.

“We’re transitioning to an A.I.-first company.”

 

 

 

A revolutionary partnership: How artificial intelligence is pushing man and machine closer together — from pcw.com

Excerpt:

With more than $5 billion in 605 deals of VC investment over last 2 years, artificial intelligence (AI) is poised to have a transformative effect on consumer, enterprise, and government markets around the world. While there are certainly obstacles to overcome, consumers believe that AI has the potential to assist in medical breakthroughs, democratize costly services, elevate poor customer service, and even free up an overburdened workforce. We dug deeper into those perceptions through an online survey of consumers and business decision makers, and an expert salon with thought leaders in the field. This original research unpacks key ways AI may impact our world, delving into its implications for society, service, and management.

 

Also see:

AI has the potential to become a great equalizer. More than half of consumers believe AI will provide educational help to disadvantaged schoolchildren. Over 40% also believe AI will expand access to financial, medical, legal, and transportation services to those with lower incomes.

Consumers also see the value in sharing their personal information for the greater good: 62% would share their data to help relieve traffic in their cities and 57% would do so to further medical breakthroughs.

 

 

 

New Google Earth has exciting features for teachers — from thejournal.com by Richard Chang

Excerpt:

Google has recently released a brand new version of Google Earth for both Chrome and Android. This new version has come with a slew of nifty features teachers can use for educational purposes with students in class. Following is a quick overview of the most fascinating features…

 

 

 

 

 

 

 

Google Home’s assistant can now recognize different voices — from cnbc.com

Excerpt:

SAN FRANCISCO (AP) — Google’s voice-activated assistant can now recognize who’s talking to it on Google’s Home speaker.

An update released Thursday enables Home’s built-in assistant to learn the different voices of up to six people, although they can’t all be talking to the internet-connected speaker at the same time.

Distinguishing voices will allow Home to be more personal in some of its responses, depending on who triggers the assistant with the phrase, “OK Google” or “Hey Google.”

For instance, once Home is trained to recognize a user named Joe, the assistant will automatically be able to tell him what traffic is like on his commute, list events on his daily calendar or even play his favorite songs. Then another user named Jane could get similar information from Home, but customized for her.

 

 

 

From DSC:
In terms of learning, having to be in the same physical place as others continues to not be a requirement nearly as much as it used to be. But I’m not just talking about online learning here. I’m talking about a new type of learning environment that involves both hardware and software to facilitate collaboration (and it was designed that way from day 1). These new types of setups can provide us with new opportunities and affordances that we should begin experimenting with immediately.

Check out the following products — all of which allow a person to contribute to a discussion or conversation from anywhere they can get Internet access:

When you go to those sites, you will see words and phrase such as:

  • Visual collaboration software
  • Virtual workspace
  • Develop
  • Share
  • Inspire
  • Design
  • Global teams
  • A visual collaboration solution that links locations, teams, content, and devices in an immersive, shared workspace
  • Teamwork
  • Create and brainstorm with others
  • Digital workplace platform
  • Eliminate the distance between in-office and remote employees
  • Jumpstart spontaneous brainstorms and working sessions

So using these types of software and hardware setups, I can contribute regardless of where I’m located. Remote learning — from anywhere in the world — being combined with our face-to-face based classrooms.

Also, the push for Active Learning Classrooms (ALCs) continues across higher education. Such hands-on, project-learning based, student-centered approaches fit extremely well with the collaboration setups mentioned above.

Then, there’s the insight from Simon Dudley in this article:

“…video conferencing is increasingly an application within in a larger workflow…”

Lastly, if colleges and universities don’t have the funds to maintain their physical plants, look for higher education to move increasingly online — and these types of solutions could play a significant role in that environment. Plus, for working adults who need to reinvent themselves, this is an extremely efficient means of picking up some new skills and competencies.

So the growth of these types of setups — where the software and hardware work together to support worldwide collaboration — will likely create a powerful, new, emerging piece of our learning ecosystems.

 



 

 

 

 

 

 

 

 

 

 



 

Remote learning — from anywhere in the world — being combined with our face-to-face based classrooms.

 



 

 

The Dark Secret at the Heart of AI — from technologyreview.com by Will Knight
No one really knows how the most advanced algorithms do what they do. That could be a problem.

Excerpt:

The mysterious mind of this vehicle points to a looming issue with artificial intelligence. The car’s underlying AI technology, known as deep learning, has proved very powerful at solving problems in recent years, and it has been widely deployed for tasks like image captioning, voice recognition, and language translation. There is now hope that the same techniques will be able to diagnose deadly diseases, make million-dollar trading decisions, and do countless other things to transform whole industries.

But this won’t happen—or shouldn’t happen—unless we find ways of making techniques like deep learning more understandable to their creators and accountable to their users. Otherwise it will be hard to predict when failures might occur—and it’s inevitable they will. That’s one reason Nvidia’s car is still experimental.

 

“Whether it’s an investment decision, a medical decision, or maybe a military decision, you don’t want to just rely on a ‘black box’ method.”

 


This raises mind-boggling questions. As the technology advances, we might soon cross some threshold beyond which using AI requires a leap of faith. Sure, we humans can’t always truly explain our thought processes either—but we find ways to intuitively trust and gauge people. Will that also be possible with machines that think and make decisions differently from the way a human would? We’ve never before built machines that operate in ways their creators don’t understand. How well can we expect to communicate—and get along with—intelligent machines that could be unpredictable and inscrutable? These questions took me on a journey to the bleeding edge of research on AI algorithms, from Google to Apple and many places in between, including a meeting with one of the great philosophers of our time.

 

 

 

Samsung’s personal assistant Bixby will take on Amazon Alexa, Apple Siri — from theaustralian.com.au by Chris Griffith

Excerpt:

Samsung has published details of its Bixby personal assistant, which will debut on its Galaxy S8 smartphone in New York next week.

Bixby will go head-to-head with Google Assistant, Microsoft Cortana, Amazon Echo and Apple Siri, in a battle to lure you into their artificial intelligence world.

In future, the personal assistant that you like may not only influence which phone you buy, also the home automation system that you adopt.

This is because these personal assistants cross over into home use, which is why Samsung would bother with one of its own.

Given that the S8 will run Android Nougat, which includes Google Assistant, users will have two personal assistants on their phone, unless somehow one is disabled.

 

 

There are a lot of red flags with Samsung’s AI assistant in the new Galaxy S8 — from businessinsider.com by Steve Kovach

Excerpt:

There’s Siri. And Alexa. And Google Assistant. And Cortana. Now add another one of those digital assistants to the mix: Bixby, the new helper that lives inside Samsung’s latest phone, the Galaxy S8. But out of all the assistants that have launched so far, Bixby is the most curious and the most limited.

Samsung’s goal with Bixby was to create an assistant that can mimic all the functions you’re used to performing by tapping on your screen through voice commands. The theory is that phones are too hard to manage, so simply letting users tell their phone what they want to happen will make things a lot easier.

 

 

Samsung Galaxy S8: Hands on with the world’s most ambitious phone — from telegraph.co.uk by James Titcomb

Excerpt:

The S8 will also feature Bixby, Samsung’s new intelligent assistant. The company says Bixby is a bigger deal than Siri or Google Assistant – as well as simply asking for the weather, it will be deeply integrated with the phone’s everyday functions such as taking photos and sending them to people. Samsung has put a dedicated Bixby button on the S8 on the left hand side, but I wasn’t able to try it out because it won’t launch in the UK until later this year.

 

 

Samsung Galaxy S8 launch: Samsung reveals its long-awaited iPhone killer — from telegraph.co.uk by James Titcomb

 

 

 


Also see:


 

Recent years have brought some rapid development in the area of artificially intelligent personal assistants. Future iterations of the technology could fully revamp the way we interact with our devices.

 

 

 

The Enterprise Gets Smart
Companies are starting to leverage artificial intelligence and machine learning technologies to bolster customer experience, improve security and optimize operations.

Excerpt:

Assembling the right talent is another critical component of an AI initiative. While existing enterprise software platforms that add AI capabilities will make the technology accessible to mainstream business users, there will be a need to ramp up expertise in areas like data science, analytics and even nontraditional IT competencies, says Guarini.

“As we start to see the land grab for talent, there are some real gaps in emerging roles, and those that haven’t been as critical in the past,” Guarini  says, citing the need for people with expertise in disciplines like philosophy and linguistics, for example. “CIOs need to get in front of what they need in terms of capabilities and, in some cases, identify potential partners.”

 

 

 

Asilomar AI Principles

These principles were developed in conjunction with the 2017 Asilomar conference (videos here), through the process described here.

 

Artificial intelligence has already provided beneficial tools that are used every day by people around the world. Its continued development, guided by the following principles, will offer amazing opportunities to help and empower people in the decades and centuries ahead.

Research Issues

 

1) Research Goal: The goal of AI research should be to create not undirected intelligence, but beneficial intelligence.

2) Research Funding: Investments in AI should be accompanied by funding for research on ensuring its beneficial use, including thorny questions in computer science, economics, law, ethics, and social studies, such as:

  • How can we make future AI systems highly robust, so that they do what we want without malfunctioning or getting hacked?
  • How can we grow our prosperity through automation while maintaining people’s resources and purpose?
  • How can we update our legal systems to be more fair and efficient, to keep pace with AI, and to manage the risks associated with AI?
  • What set of values should AI be aligned with, and what legal and ethical status should it have?

3) Science-Policy Link: There should be constructive and healthy exchange between AI researchers and policy-makers.

4) Research Culture: A culture of cooperation, trust, and transparency should be fostered among researchers and developers of AI.

5) Race Avoidance: Teams developing AI systems should actively cooperate to avoid corner-cutting on safety standards.

Ethics and Values

 

6) Safety: AI systems should be safe and secure throughout their operational lifetime, and verifiably so where applicable and feasible.

7) Failure Transparency: If an AI system causes harm, it should be possible to ascertain why.

8) Judicial Transparency: Any involvement by an autonomous system in judicial decision-making should provide a satisfactory explanation auditable by a competent human authority.

9) Responsibility: Designers and builders of advanced AI systems are stakeholders in the moral implications of their use, misuse, and actions, with a responsibility and opportunity to shape those implications.

10) Value Alignment: Highly autonomous AI systems should be designed so that their goals and behaviors can be assured to align with human values throughout their operation.

11) Human Values: AI systems should be designed and operated so as to be compatible with ideals of human dignity, rights, freedoms, and cultural diversity.

12) Personal Privacy: People should have the right to access, manage and control the data they generate, given AI systems’ power to analyze and utilize that data.

13) Liberty and Privacy: The application of AI to personal data must not unreasonably curtail people’s real or perceived liberty.

14) Shared Benefit: AI technologies should benefit and empower as many people as possible.

15) Shared Prosperity: The economic prosperity created by AI should be shared broadly, to benefit all of humanity.

16) Human Control: Humans should choose how and whether to delegate decisions to AI systems, to accomplish human-chosen objectives.

17) Non-subversion: The power conferred by control of highly advanced AI systems should respect and improve, rather than subvert, the social and civic processes on which the health of society depends.

18) AI Arms Race: An arms race in lethal autonomous weapons should be avoided.

Longer-term Issues

 

19) Capability Caution: There being no consensus, we should avoid strong assumptions regarding upper limits on future AI capabilities.

20) Importance: Advanced AI could represent a profound change in the history of life on Earth, and should be planned for and managed with commensurate care and resources.

21) Risks: Risks posed by AI systems, especially catastrophic or existential risks, must be subject to planning and mitigation efforts commensurate with their expected impact.

22) Recursive Self-Improvement: AI systems designed to recursively self-improve or self-replicate in a manner that could lead to rapidly increasing quality or quantity must be subject to strict safety and control measures.

23) Common Good: Superintelligence should only be developed in the service of widely shared ethical ideals, and for the benefit of all humanity rather than one state or organization.

 

 

 

Excerpts:
Creating human-level AI: Will it happen, and if so, when and how? What key remaining obstacles can be identified? How can we make future AI systems more robust than today’s, so that they do what we want without crashing, malfunctioning or getting hacked?

  • Talks:
    • Demis Hassabis (DeepMind)
    • Ray Kurzweil (Google) (video)
    • Yann LeCun (Facebook/NYU) (pdf) (video)
  • Panel with Anca Dragan (Berkeley), Demis Hassabis (DeepMind), Guru Banavar (IBM), Oren Etzioni (Allen Institute), Tom Gruber (Apple), Jürgen Schmidhuber (Swiss AI Lab), Yann LeCun (Facebook/NYU), Yoshua Bengio (Montreal) (video)
  • Superintelligence: Science or fiction? If human level general AI is developed, then what are likely outcomes? What can we do now to maximize the probability of a positive outcome? (video)
    • Talks:
      • Shane Legg (DeepMind)
      • Nick Bostrom (Oxford) (pdf) (video)
      • Jaan Tallinn (CSER/FLI) (pdf) (video)
    • Panel with Bart Selman (Cornell), David Chalmers (NYU), Elon Musk (Tesla, SpaceX), Jaan Tallinn (CSER/FLI), Nick Bostrom (FHI), Ray Kurzweil (Google), Stuart Russell (Berkeley), Sam Harris, Demis Hassabis (DeepMind): If we succeed in building human-level AGI, then what are likely outcomes? What would we like to happen?
    • Panel with Dario Amodei (OpenAI), Nate Soares (MIRI), Shane Legg (DeepMind), Richard Mallah (FLI), Stefano Ermon (Stanford), Viktoriya Krakovna (DeepMind/FLI): Technical research agenda: What can we do now to maximize the chances of a good outcome? (video)
  • Law, policy & ethics: How can we update legal systems, international treaties and algorithms to be more fair, ethical and efficient and to keep pace with AI?
    • Talks:
      • Matt Scherer (pdf) (video)
      • Heather Roff-Perkins (Oxford)
    • Panel with Martin Rees (CSER/Cambridge), Heather Roff-Perkins, Jason Matheny (IARPA), Steve Goose (HRW), Irakli Beridze (UNICRI), Rao Kambhampati (AAAI, ASU), Anthony Romero (ACLU): Policy & Governance (video)
    • Panel with Kate Crawford (Microsoft/MIT), Matt Scherer, Ryan Calo (U. Washington), Kent Walker (Google), Sam Altman (OpenAI): AI & Law (video)
    • Panel with Kay Firth-Butterfield (IEEE, Austin-AI), Wendell Wallach (Yale), Francesca Rossi (IBM/Padova), Huw Price (Cambridge, CFI), Margaret Boden (Sussex): AI & Ethics (video)

 

 

 
 

From DSC:
Given the exponential pace of technological change that many societies throughout the globe are now on, we need some tools to help us pulse-check what’s going on in the relevant landscapes that we are trying to scan.


 

 

 

 

 

 

 

 

 

 


Below, I would like to suggest 2 methods/tools to do this.  I have used both methods for years, and I have found them to be immensely helpful in pulse-checking the landscapes. Perhaps these tools will be helpful to you — or to your students or employees — as well.  I vote for these 2 tools to be a part of all of our learning ecosystems. (And besides, they also encourage micro-learning while helping us spot emerging trends.)


 

Google Alerts

 

 

Feedly.com

 

 

 

 

KPMG & Microsoft Announce New “Blockchain Nodes” — from finance.yahoo.com

Excerpt:

NEW YORK, Feb. 15, 2017 /PRNewswire/ — KPMG International and Microsoft Corp. have announced the launch of joint Blockchain Nodes, which are designed to create and demonstrate use cases that apply blockchain technology to business propositions and processes.  The first joint Blockchain Nodes are in Frankfurt and Singapore, with future plans for a location in New York.

The KPMG and Microsoft Blockchain Nodes –innovation workspaces– will expand on a global alliance, which combines Microsoft’s technical expertise with KPMG’s deep industry and blockchain application knowledge, together with strong connections to the start-up and developer communities.

“The Blockchain Nodes will play a critical role in identifying new applications and use cases that blockchain can address,” said Eamonn Maguire, global and US leader for KPMG’s Digital Ledger Services. “They will enable us to work directly with clients to discover and test ideas based on market insights, creating and implementing prototype solutions that use this innovative technology.”

 

 

IBM Brings Machine Learning to the Private Cloud — from finance.yahoo.com
First to automate creation and training of learning analytic models at the source of high value corporate data, starting with IBM z System Mainframe

Excerpt:

ARMONK, N.Y., Feb. 15, 2017 /PRNewswire/ — IBM (NYSE: IBM) today announced IBM Machine Learning, the first cognitive platform for continuously creating, training and deploying a high volume of analytic models in the private cloud at the source of vast corporate data stores.  Even using the most advanced techniques, data scientists – in shortest supply among today’s IT skills1 – might spend days or weeks developing, testing and retooling even a single analytic model one step at a time.

IBM has extracted the core machine learning technology from IBM Watson and will initially make it available where much of the world’s enterprise data resides: the z System mainframe, the operational core of global organizations where billions of daily transactions are processed by banks, retailers, insurers, transportation firms and governments.

IBM Machine Learning allows data scientists to automate the creation, training and deployment of operational analytic models that will support…

 

 

Amazon Echo and Google Home may soon be able to make voice calls — from financye.yahoo.com and Business Insider by Jeff Dunn

Excerpt:

The Amazon Echo and Google Home could be used to make and receive phone calls later this year, according to a new report from The Wall Street Journal’s Ryan Knutson and Laura Stevens. Citing “people familiar with the matter,” the report says that both Amazon and Google are looking to activate the feature, but that their attempts have been slowed by privacy and regulatory concerns. Amazon has reportedly been working on Echo-specific voice calls since 2015, but has been held up by “employee turnover” as well.

 

 

Amazon unveils Chime, looks to reinvent the conference call with new Skype and GoToMeeting competitor — from geekwire.com by John Cook

Excerpt:

Amazon is looking to transform just about every industry.

Now, the Seattle tech juggernaut wants to reinvent how you conduct meetings and conference calls.

Amazon Web Services today unveiled Chime, a new service that it says takes the “frustration out of meetings” by delivering video, voice, chat, and screen sharing. Instead of forcing participants to call one another on a dedicated line, Amazon Chime automatically calls all participants at the start of a meeting, so “joining a meeting is as easy as clicking a button in the app, no PIN required,” the company said in a press release. Chime also shows a visual roster of participants, and allows participants to pinpoint who exactly on the call is creating annoying background noise.

 

 

 

 

 

 

Here’s how Google made VR history and got its first Oscar nom — from inverse.com by Victor Fuste
Google’s short film ‘Pearl’ marks a major moment in VR history. 

Excerpt:

The team at Google Spotlight Stories made history on Wednesday, as its short film Pearl became the first virtual reality project to be nominated for an Academy Award. But instead of serving as a capstone, the Oscar nod is just a nice moment at the beginning of the Spotlight team’s plan for the future of storytelling in the digital age.

Google Spotlight Stories are not exactly short films. Rather, they are interactive experiences created by the technical pioneers at Google’s Advanced Technologies and Projects (ATAP) division, and they defy expectations and conventions. Film production has in many ways been perfected, but for each Spotlight Story, the technical staff at Google uncovers new challenges to telling stories in a medium that blends together film, mobile phones, games, and virtual reality. Needless to say, it’s been an interesting road.

 

A massive AI partnership is tapping civil rights and economic experts to keep AI safe — from qz.com by Dave Gershgorn

Excerpt:

When the Partnership on Artificial Intelligence to Benefit People and Society was announced in September, it was with the stated goal of educating the public on artificial intelligence, studying AI’s potential impact on the world, and establishing industry best practices. Now, how those goals will actually be achieved is becoming clearer.

This week, the Partnership brought on new members that include representatives from the American Civil Liberties Union, the MacArthur Foundation, OpenAI, the Association for the Advancement of Artificial Intelligence, Arizona State University, and the University of California, Berkeley.

The organizations themselves are not officially affiliated yet—that process is still underway—but the Partnership’s board selected these candidates based on their expertise in civil rights, economics, and open research, according to interim co-chair Eric Horvitz, who is also director of Microsoft Research. The Partnership also added Apple as a “founding member,” putting the tech giant in good company: Amazon, Microsoft, IBM, Google, and Facebook are already on board.

 

 


Also relevant/see:

Building Public Policy To Address Artificial Intelligence’s Impact — from blogs.wsj.com by Irving Wladawsky-Berger

Excerpt:

Artificial intelligence may be at a tipping point, but it’s not immune to backlash from users in the event of system mistakes or a failure to meet heightened expectations. As AI becomes increasingly used for more critical tasks, care needs to be taken by proponents to avoid unfulfilled promises as well as efforts that appear to discriminate against certain segments of society.

Two years ago, Stanford University launched the One Hundred Year Study of AI to address “how the effects of artificial intelligence will ripple through every aspect of how people work, live and play.” One of its key missions is to convene a Study Panel of experts every five years to assess the then current state of the field, as well as to explore both the technical advances and societal challenges over the next 10 to 15 years.

The first such Study Panel recently published Artificial Intelligence and Life in 2030, a report that examined the likely impact of AI on a typical North American city by the year 2030.

 

 

Apple iPhone 8 To Get 3D-Sensing Tech For Augmented-Reality Apps — from investors.com by Patrick Seitz

Excerpt:

Apple’s (AAPL) upcoming iPhone 8 smartphone will include a 3D-sensing module to enable augmented-reality applications, Rosenblatt Securities analyst Jun Zhang said Wednesday. Apple has included the 3D-sensing module in all three current prototypes of the iPhone 8, which have screen sizes of 4.7, 5.1 and 5.5 inches, he said. “We believe Apple’s 3D sensing might provide a better user experience with more applications,” Zhang said in a research report. “So far, we think 3D sensing aims to provide an improved smartphone experience with a VR/AR environment.”

Apple's iPhone 8 is expected to have 3D-sensing tech like Lenovo’s Phab 2 Pro smartphone. (Lenovo)Apple’s iPhone 8 is expected to have 3D-sensing tech like Lenovo’s Phab 2 Pro smartphone. (Lenovo)

 

 

AltspaceVR Education Overview

 

 

 

 

10 Prominent Developers Detail Their 2017 Predictions for The VR/AR Industry — from uploadvr.com by David Jagneaux

Excerpt:

As we look forward to 2017 then, we’ve reached out to a bunch of industry experts and insiders to get their views on where we’re headed over the next 12 months.

2016 provided hints of where Facebook, HTC, Sony, Google, and more will take their headsets in the near future, but where does the industry’s best and brightest think we’ll end up this time next year? With CES, the year’s first major event, now in the books, let’s hear from some those that work with VR itself about what happens next.

We asked all of these developers the same four questions:

1) What do you think will happen to the VR/AR market in 2017?
2) What NEEDS to happen to the VR AR market in 2017?
3) What will be the big breakthroughs and innovations of 2017?
4) Will 2017 finally be the “year of VR?”

 

 

MEL Lab’s Virtual Reality Chemistry Class — from thereisonlyr.com by Grant Greene
An immersive learning startup brings novel experiences to science education.

 

 

The MEL app turned my iPhone 6 into a virtual microscope, letting me walk through 360 degree, 3-D representations of the molecules featured in the experiment kits.

 

 

 

 

Labster releases ‘World of Science’ Simulation on Google Daydream — from labster.com by Marian Reed

Excerpt:

Labster is exploring new platforms by which students can access its laboratory simulations and is pleased to announce the release of its first Google Daydream-compatible virtual reality (VR) simulation, ‘Labster: World of Science’. This new simulation, modeled on Labster’s original ‘Lab Safety’ virtual lab, continues to incorporate scientific learning alongside of a specific context, enriched by story-telling elements. The use of the Google VR platform has enabled Labster to fully immerse the student, or science enthusiast, in a wet lab that can easily be navigated with intuitive usage of Daydream’s handheld controller.

 

 

The Inside Story of Google’s Daydream, Where VR Feels Like Home — from wired.com by David Pierce

Excerpt:

Jessica Brillhart, Google’s principle VR filmmaker, has taken to calling people “visitors” rather than “viewers,” as a way of reminding herself that in VR, people aren’t watching what you’ve created. They’re living it. Which changes things.

 

 

Welcoming more devices to the Daydream-ready family — from blog.google.com by Amit Singh

Excerpt:

In November, we launched Daydream with the goal of bringing high quality, mobile VR to everyone. With the Daydream View headset and controller, and a Daydream-ready phone like the Pixel or Moto Z, you can explore new worlds, kick back in your personal VR cinema and play games that put you in the center of the action.

Daydream-ready phones are built for VR with high-resolution displays, ultra smooth graphics, and high-fidelity sensors for precise head tracking. To give you even more choices to enjoy Daydream, today we’re welcoming new devices that will soon join the Daydream-ready family.

 

 

Kessler Foundation awards virtual reality job interview program — from haptic.al by Deniz Ergürel

Excerpt:

Kessler Foundation, one of the largest public charities in the United States, is awarding a virtual reality training project to support high school students with disabilities. The foundation is providing a two-year, $485,000 Signature Employment Grant to the University of Michigan in Ann Arbor, to launch the Virtual Reality Job Interview Training program. Kessler Foundation says, the VR program will allow for highly personalized role-play, with precise feedback and coaching that may be repeated as often as desired without fear or embarrassment.

 

 

Deep-water safety training goes virtual — from shell.com by Soh Chin Ong
How a visit to a shopping centre led to the use of virtual reality safety training for a new oil production project, Malikai, in the deep waters off Sabah in Malaysia.

 

 

 

Virtual reality is actually here — from computerworld.in by Bart Perkins

Excerpts:

In parallel with gaming, VR is expanding into many other areas, including these:

  • Healthcare
    Surgical Theater is working with UCLA, New York University, the Mayo Clinic and other major medical centers to use VR to help surgeons prepare for difficult operations. Virtual 3D models are constructed from MRIs, CAT scans and/or ultrasounds.
  • Mental health
    Meditation promotes mental health by reducing stress and anxiety.
  • Education
    Unimersiv is focusing on historical sites, creating a series of VR tours for the Colosseum, Acropolis, Parthenon, Stonehenge, Titanic, etc. These tours allow each site to be explored as it existed when it was built. Additional locations’ virtual sites and attractions will undoubtedly be added in the near future. The British Museum offered a Virtual Reality Weekend in August 2015. Visitors were able to explore a Bronze Age roundhouse with a flickering fire and changing levels of light while they “handled” Bronze Age relics. The American Museum of Natural History allows students anywhere in the world to take virtual tours of selected museum exhibits, and other museums will soon follow.
  • Training
    Virtual reality is an excellent tool when the task is dangerous or the equipment involved is expensive.
  • Crime reconstruction
  • Architecture
  • Collaboration
    Virtual reality, augmented reality and mixed reality will form the basis for the next set of collaboration tools.

 

 

 

VR and education: Why we shouldn’t wait to reap the benefits – from medium.com by Josh Maldonad

Excerpts:

However, we see very little experienced-based learning in all levels of education today. Traditional learning consists of little more than oration through lectures and textbooks (and their digital equivalents). Experience-based learning is often very difficult to facilitate in the classroom. Whether it be a field trip in elementary school, or simulation exercises in med school, it can be tedious, costly and time consuming.

Where VR is really winning in education is in subject matter retention. The first of several surveys that we’ve done was based on a VR field trip through the circulatory system with high-school age children. We saw an increase of nearly 80% in subject matter retention from a group that used VR, compared against a control group that was provided the same subject matter via text and image. (I’ll expand on the details of this experiment, and some research initiatives we’re working on in another blog post).

http://uploadvr.com/chinese-vr-education-study/

Example apps in healthcare:

  • Emergency response and Triage Decision making
  • Nursing fundamentals, safety and communication procedures
  • Anesthesiology: patient monitoring and dosage delivery

 

 

Residential design and virtual reality: a better way to build a home? — from connectedlife.style

Excerpt:

The old phrase of ‘needing to see it to believe it’ is a powerful mantra across all aspects of residential design. Architecture, interior design and property development are all highly visual trades that require buy-in from both those working on the project and the client. As such, making sure everyone is sold on a coherent vision is vital to ensure that everything goes smoothly and no one is left dissatisfied when the project is completed.

 

 

 

Google Translate: Updated
For those travelers out there, you might want to know about Google Translate’s ability to read in an image of one language, and provide you with a translation of that language/signage/label/etc.

Also see:

 

From this page, here are some of the visual translation products:

 

 

Now HoloLens lets you check your mail in a wall-sized mixed reality version of Outlook — from pcworld.com by Ian Paul
Now you can check your email or make a calendar appointment without removing Microsoft’s augmented reality headset.

hololens multiple flat apps

You now can pin multiple 2D apps in virtual space,
and Microsoft’s HoloLens will remember where they are.

 

 

VR in Education: What’s Already Happening in the Classroom — from arvrmagazine.com by Susanne Krause
“Engagement was off the charts”  | Connecting to the world and creating new ones using virtual reality

Excerpt:

It’s a way for educators to bring their students to places that would be out of reach otherwise. Google Expeditions, the VR mode of Google Street View and Nearpod’s virtual field trips are among the most popular experiences teachers explore with their students. “Some of our students have never really left the bubbles of their own town”, says Jaime Donally, creator of the #ARVRinEDU chat on Twitter. “Virtual reality is a relatively inexpensive way to show them the world.”

 

 

How augmented reality is transforming building management — from ibm.com
IBM People for Smarter Cities presents “Dublin lab – Cognitive Buildings”

In the video below, a facilities manager is using a mobile device to scan a QR code on a wall, behind which is a critical piece of HVAC equipment. With one scan, we can view data on the asset’s performance and health, location data for the asset. This data is being pulled by the IoT Platform from the asset itself, TRIRIGA, and any other useful sources.

 

 

 

 

 

 

Excerpt:

But the best experiences, VR acolytes agree, are still yet to come. Resh Sidhu leads VR development for Framestore, the high-end visual effects house that won an Oscar for the movie Gravity, and has since expanded into creating VR content. With hardware finally delivering on its promise, she believes it is now up to creatives to explore the possibilities.

 

 

HTC Brings VR Center to Paris; Vive Exhibit at Nobel Museum — from vrscout.com by Jonathan Nafarrete

Excerpt:

There’s so much more to VR than just gaming. Which is probably why HTC has been exploring entirely new ways to bring VR to art, education and culture — starting with museums around the world.

HTC recently collaborated with TIME-LIFE on “Remembering Pearl Harbor,” a VR experience commemorating the 75th anniversary of the attack with exhibitions at the Intrepid Sea, Air and Space Museum in New York City and the Newsuem in Washington D.C. Last month, Vive also collaborated with the Royal Academy of Arts in London on the world’s first 3-D printed VR art exhibit.

Now HTC Vive has revealed the launch of a new VR center at La Geode, part of Paris’ Science and Industry Museum, as well as a partnership with the Nobel Museum for a first-of-its-kind VR exhibit showcasing the contributions of Nobel laureates.

 

 

 

Alexa, Tell Me Where You’re Going Next — from backchannel.com by Steven Levy
Amazon’s VP of Alexa talks about machine learning, chatbots, and whether industry is strip-mining AI talent from academia.

Excerpt:

Today Prasad is giving an Alexa “State of the Union” address at the Amazon Web Services conference in Las Vegas, announcing an improved version of the Alexa Skills Kit, which helps developers create the equivalent of apps for the platform; a beefed-up Alexa Voice Service, which will make it easier to transform third-party devices like refrigerators and cars into Alexa bots; a partnership with Intel; and the Alexa Accelerator that, with the startup incubator Techstars, will run a 13-week program to help newcomers build Alexa skills. Prasad and Amazon haven’t revealed sales numbers, but industry experts have estimated that Amazon has sold over five million Echo devices so far.

Prasad, who joined Amazon in 2013, spent some time with Backchannel before his talk today to illuminate the direction of Alexa and discuss how he’s recruiting for Jeff Bezos’s arsenal without drying up the AI pipeline.

 

 

What DeepMind brings to Alphabet — from economist.com
The AI firm’s main value to Alphabet is as a new kind of algorithm factory

Excerpt:

DeepMind’s horizons stretch far beyond talent capture and public attention, however. Demis Hassabis, its CEO and one of its co-founders, describes the company as a new kind of research organisation, combining the long-term outlook of academia with “the energy and focus of a technology startup”—to say nothing of Alphabet’s cash.

Were he to succeed in creating a general-purpose AI, that would obviously be enormously valuable to Alphabet. It would in effect give the firm a digital employee that could be copied over and over again in service of multiple problems. Yet DeepMind’s research agenda is not—or not yet—the same thing as a business model. And its time frames are extremely long.

 

 

Artificial Intelligence: Silicon Valley’s Next Frontier — from toptechnews.com by Ethan Baron

Excerpt:

Silicon Valley needs its next big thing, a focus for the concentrated brain power and innovation infrastructure that have made this region the world leader in transformative technology. Just as the valley’s mobile era is peaking, the next frontier of growth and innovation has arrived: It’s Siri in an Apple iPhone, Alexa in an Amazon Echo, the software brain in Google’s self-driving cars, Amazon’s product recommendations and, someday, maybe the robot surgeon that saves your life.

It’s artificial intelligence, software that can “learn” and “think,” the latest revolution in tech.

“It’s going to be embedded in everything,” said startup guru Steve Blank, an adjunct professor at Stanford. “We’ve been talking about artificial intelligence for 30 years, maybe longer, in Silicon Valley. It’s only in the last five years, or maybe even the last two years, that this stuff has become useful.”

 

 

 

What Is The Difference Between Artificial Intelligence And Machine Learning? — from forbes.com by Bernard Marr

Excerpt:

Artificial Intelligence (AI) and Machine Learning (ML) are two very hot buzzwords right now, and often seem to be used interchangeably. They are not quite the same thing, but the perception that they are can sometimes lead to some confusion. So I thought it would be worth writing a piece to explain the difference.

In short, the best answer is that:
Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider “smart”.
And,
Machine Learning is a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves.

 

 

Why we are still light years away from full artificial intelligence — from techcrunch.com by Clara Lu

Excerpt:

Yet, the truth is, we are far from achieving true AI — something that is as reactive, dynamic, self-improving and powerful as human intelligence.

Full AI, or superintelligence, should possess the full range of human cognitive abilities. This includes self-awareness, sentience and consciousness, as these are all features of human cognition.

 

 

Udacity adds 14 hiring partners as AI, VR and self-driving talent wars heat up — from techcrunch.com by Darrell Etherington

Excerpt:

Udacity is positioned perfectly to benefit from the rush on talent in a number of growing areas of interest among tech companies and startups. The online education platform has added 14 new hiring partners across its Artificial Intelligence Engineer, Self-Driving Car Engineer and Virtual Reality Developer Nanodegree programs, as well as in its Predictive Analytics Nanodegree, including standouts like Bosch, Harma, Slack, Intel, Amazon Alexa and Samsung.

That brings the total number of hiring partners for Udacity to over 30, which means a lot of potential soft landings for graduates of its nanodegree programs. The nanodegree offered by Udacity is its own original form of accreditation, which is based on a truncated field of study that spans months, rather than years, and allows students to direct the pace of their own learning. It also all takes place online, so students can potentially learn from anywhere.

 

 

 

 

The Ethics of Artificial Intelligence – from livestream.com

 

 

 

 

The Great A.I. Awakening — from nytimes.com by Gideo Lewis-Kraus
How Google used artificial intelligence to transform Google Translate, one of its more popular services — and how machine learning is poised to reinvent computing itself.

Excerpt:

Google’s decision to reorganize itself around A.I. was the first major manifestation of what has become an industrywide machine-learning delirium. Over the past four years, six companies in particular — Google, Facebook, Apple, Amazon, Microsoft and the Chinese firm Baidu — have touched off an arms race for A.I. talent, particularly within universities. Corporate promises of resources and freedom have thinned out top academic departments. It has become widely known in Silicon Valley that Mark Zuckerberg, chief executive of Facebook, personally oversees, with phone calls and video-chat blandishments, his company’s overtures to the most desirable graduate students. Starting salaries of seven figures are not unheard-of. Attendance at the field’s most important academic conference has nearly quadrupled. What is at stake is not just one more piecemeal innovation but control over what very well could represent an entirely new computational platform: pervasive, ambient artificial intelligence.

 

 

 

Microsoft bets on AI — from businessinsider.com

Excerpt:

On [December 12th, 2016], Microsoft announced a new Microsoft Ventures fund dedicated to artificial intelligence (AI) investments, according to TechCrunch. The fund, part of the company’s investment arm that launched in May, will back startups developing AI technology and includes Element AI, a Montreal-based incubator that helps other companies embrace AI. The fund further supports Microsoft’s focus on AI. The company has been steadily announcing major initiatives in support of the technology. For example, in September, it announced a major restructuring and formed a new group dedicated to AI products. And in mid-November, it partnered with OpenAI, an AI research nonprofit backed by Elon Musk, to further its AI research and development efforts.

 

 

The Growth of Artificial Intelligence in E-commerce — from redstagfulfillment.com by Jake Rheude

Excerpt:

Whether Artificial Intelligence (AI) is something you’ve just come across or it’s something you’ve been monitoring for a while, there’s no denying that it’s starting to influence many industries. And one place that it’s really starting to change things is e-commerce. Below you’ll find some interesting stats and facts about how AI is growing in e-commerce and how it’s changing the way we do things. From personalizing the shopping experience for customers to creating personal buying assistants, AI is something retailers can’t ignore. We’ll also take a look at some examples of how leading online stores have used AI to enrich the customer buying experience.

 

 

Will AI built by a ‘sea of dudes’ understand women? AI’s inclusivity problem — from digitaltrends.com by Dyllan Furness

Excerpt:

Only 26 percent of computer professionals were women in 2013, according to a recent review by the American Association of University Women. That figure has dropped 9 percent since 1990.

Explanations abound. Some say the industry is masculine by design. Others claim computer culture is unwelcoming — even hostile — to women. So, while STEM fields like biology, chemistry, and engineering see an increase in diversity, computing does not. Regardless, it’s a serious problem.

Artificial intelligence is still in its infancy, but it’s poised to become the most disruptive technology since the Internet. AI will be everywhere — in your phone, in your fridge, in your Ford. Intelligent algorithms already track your online activity, find your face in Facebook photos, and help you with your finances. Within the next few decades they’ll completely control your car and monitor your heart health. An AI may one day even be your favorite artist.

The programs written today will inform the systems built tomorrow. And if designers all have one worldview, we can expect equally narrow-minded machines.

 

 

 

 
© 2024 | Daniel Christian