30 influential AI presentations from 2019 — from re-work.co

Excerpt:

It feels as though 2019 has gone by in a flash, that said, it has been a year in which we have seen great advancement in AI application methods and technical discovery, paving the way for future development. We are incredibly grateful to have had the leading minds in AI & Deep Learning present their latest work at our summits in San Francisco, Boston, Montreal and more, so we thought we would share thirty of our highlight videos with you as we think everybody needs to see them!. (Some are hosted on our Videohub and some on our YouTube, but all are free to view!).

Example presenters:

  • Dawn Song, Professor, UC Berkeley.
  • Doina Precup, Research Team Lead, DeepMind.
  • Natalie Jakomis, Group Director of Data, goCompare.
  • Ian Goodfellow, Director, Apple.
  • Timnit Gebru, Ethical AI Team, Google.
  • Cathy Pearl, Head of Conversation Design Outreach, Google.
  • Zoya Bylinskii, Research Scientist, Adobe Research.
  • …and many others
 

This former Apple designer is taking on Amazon’s Twitch with $146 million and Fox’s backing — from fastcompany.com by Jeff Beer
Caffeine founder and CEO Ben Keighran talks about why live streaming is much more than gaming—it’s the future of TV.

Excerpt (emphasis DSC):

Live-streaming startup Caffeine, started by former Apple designer Ben Keighran, is emerging out of a two-year beta today and aims to overtake Amazon’s Twitch and Microsoft’s Mixer as the world’s leading live broadcasting platform. The official release version features a completely new design for its website and iOS and Android apps that combines editorial, algorithmic, and social connections to make it easier to discover live broadcasting from gamers, entertainers, and athletes, as well as create your own interactive broadcasts featuring live television content.

Twitch is the undisputed king of live-streamed gaming, but Keighran is betting that Caffeine’s more diverse focus to go beyond gaming—into entertainment and sports—will make it a more attractive place for both viewers and creators.

Keighran says another technological difference between Caffeine and Twitch is in its ease of use and quickness. “In just a couple of clicks, you can stream Red Bull 24/7 and be the commentator, you can stream Fortnite in one click, you can create an entertainment stream and talk about the new sneaker you just got, and you can do that all in one place,” he says. “And it’s all in real-time—there’s no delay in the video, whereas on Twitch, there’s up to a 60-second delay.”

 

From DSC:
Hmmm… social interaction. New platforms for streaming live content. Ability to comment and ask questions (i.e., audience interactions). Interactive chats.

Can we add learning-related experiences to the audiences and applications here?

 

 

A somewhat related item:

 

FTI 2020 Trend Report for Entertainment, Media, & Technology [FTI]

 

FTI 2020 Trend Report for Entertainment, Media, & Technology — from futuretodayinstitute.com

Our 3rd annual industry report on emerging entertainment, media and technology trends is now available.

  • 157 trends
  • 28 optimistic, pragmatic and catastrophic scenarios
  • 10 non-technical primers and glossaries
  • Overview of what events to anticipate in 2020
  • Actionable insights to use within your organization

KEY TAKEAWAYS

  • Synthetic media offers new opportunities and challenges.
  • Authenticating content is becoming more difficult.
  • Regulation is coming.
  • We’ve entered the post-fixed screen era.
  • Voice Search Optimization (VSO) is the new Search Engine Optimization (SEO).
  • Digital subscription models aren’t working.
  • Advancements in AI will mean greater efficiencies.

 

 

Emerging Tech Trend: Patient-Generated Health Data — from futuretodayinstitute.com — Newsletter Issue 124

Excerpt:

Near-Futures Scenarios (2023 – 2028):

Pragmatic: Big tech continues to develop apps that are either indispensably convenient, irresistibly addictive, or both, and we pay for them, not with cash, but with the data we (sometimes unwittingly) let the apps capture. But for the apps for health care and medical insurance, the stakes could literally be life-and-death. Consumers receive discounted premiums, co-pays, diagnostics and prescription fulfillment, but the data we give up in exchange leaves them more vulnerable to manipulation and invasion of privacy.

Catastrophic: Profit-driven drug makers exploit private health profiles and begin working with the Big Nine. They use data-based targeting to over prescribe patients, netting themselves billions of dollars. Big Pharma target and prey on people’s addictions, mental health predispositions and more, which, while undetectable on an individual level, take a widespread societal toll.

Optimistic: Health data enables prescient preventative care. A.I. discerns patterns within gargantuan data sets that are otherwise virtually undetectable to humans. Accurate predictive algorithms identifies complex combinations of risk factors for cancer or Parkinson’s, offers early screening and testing to high-risk patients and encourages lifestyle shifts or treatments to eliminate or delay the onset of serious diseases. A.I. and health data creates a utopia of public health. We happily relinquish our privacy for a greater societal good.

Watchlist: Amazon; Manulife Financial; GE Healthcare; Meditech; Allscripts; eClinicalWorks; Cerner; Validic; HumanAPI; Vivify; Apple; IBM; Microsoft; Qualcomm; Google; Medicare; Medicaid; national health systems; insurance companies.

 

Using technology to inspire creativity boosts student outcomes — from thejournal.com by Sara Friedman

Transformative technology uses include using tablets or computers to create multimedia projects, conduct research and analyze information.

Teachers’ use of creativity in learning was determined how many times students were allowing to:

  • Choose what to learn in class.
  • Try different ways of doing things, even if they might not work.
  • Come up with their own ways to solve a problem
  • Discuss topics with no right or wrong answer.
  • Create a project to express what they’ve learned.
  • Work on a multidisciplinary project.
  • Work on a project with real-world applications.
  • Publish or share projects with people outside the classroom.
 

The impact of voice search on firms — from lawtechnologytoday.org

Excerpts:

“Alexa, where can I find an attorney near me who specializes in…?”

“What is my liability if a tree in my yard falls on my neighbor’s house because of a storm?”

“…voice-activated legal searches are coming, and probably faster than you expect.”

 

DC: In the future…will there be a “JustWatch” or a “Suppose” for learning-related content?

DC: In the future...will there be a JustWatch or a Suppose for learning-related content?

 

Per Jane Hart on LinkedIn:

Top 200 Tools for Learning 2019 is now published, together with:

PLUS analysis of how these tools are being used in different context, new graphics, and updated comments on the tools’ pages that show how people are using the tools.

 

 

 

Someone is always listening — from Future Today Institute

Excerpt:

Very Near-Futures Scenarios (2020 – 2022):

  • OptimisticBig tech and consumer device industries agree to a single set of standards to inform people when they are being listened to. Devices now emit an audible ping and/ or a visible light anytime they are actively recording sound. While they need to store data in order to improve natural language understanding and other important AI systems, consumers now have access to a portal and can see, listen to, and erase their data at any time. In addition, consumers can choose to opt-out of storing their data to help improve AI systems.
  • Pragmatic: Big tech and consumer device industries preserve the status quo, which leads to more cases of machine eavesdropping and erodes public trust. Federal agencies open investigations into eavesdropping practices, which leads to a drop in share prices and a concern that more advanced biometric technologies could face debilitating regulation.
  • CatastrophicBig tech and consumer device industries collect and store our conversations surreptitiously while developing new ways to monetize that data. They anonymize and sell it to developers wanting to create their own voice apps or to research institutions wanting to do studies using real-world conversation. Some platforms develop lucrative fee structures allowing others access to our voice data: business intelligence firms, market research agencies, polling agencies, political parties and individual law enforcement organizations. Consumers have little to no ability to see and understand how their voice data are being used and by whom. Opting out of collection systems is intentionally opaque. Trust erodes. Civil unrest grows.

Action Meter:

 

Watchlist:

  • Google; Apple; Amazon; Microsoft; Salesforce; BioCatch; CrossMatch; ThreatMetrix; Electronic Frontier Foundation; World Privacy Forum; American Civil Liberties Union; IBM; Baidu; Tencent; Alibaba; Facebook; Electronic Frontier Foundation; European Union; government agencies worldwide.

 

 

Microsoft President: Democracy Is At Stake. Regulate Big Tech — from npr.org by Aarti Shahani

Excerpts:

Regulate us. That’s the unexpected message from one of the country’s leading tech executives. Microsoft President Brad Smith argues that governments need to put some “guardrails” around engineers and the tech titans they serve.

If public leaders don’t, he says, the Internet giants will cannibalize the very fabric of this country.

“We need to work together; we need to work with governments to protect, frankly, something that is far more important than technology: democracy. It was here before us. It needs to be here and healthy after us,” Smith says.

“Almost no technology has gone so entirely unregulated, for so long, as digital technology,” Smith says.

 

2 items re: Augmented Reality (AR) and ART

 

AI is in danger of becoming too male — new research — from singularityhub.com by Juan Mateos-Garcia and Joysy John

Excerpts (emphasis DSC):

But current AI systems are far from perfect. They tend to reflect the biases of the data used to train them and to break down when they face unexpected situations.

So do we really want to turn these bias-prone, brittle technologies into the foundation stones of tomorrow’s economy?

One way to minimize AI risks is to increase the diversity of the teams involved in their development. As research on collective decision-making and creativity suggests, groups that are more cognitively diverse tend to make better decisions. Unfortunately, this is a far cry from the situation in the community currently developing AI systems. And a lack of gender diversity is one important (although not the only) dimension of this.

A review published by the AI Now Institute earlier this year showed that less than 20 percent of the researchers applying to prestigious AI conferences are women, and that only a quarter of undergraduates studying AI at Stanford and the University of California at Berkeley are female.

 


From DSC:
My niece just left a very lucrative programming job and managerial role at Microsoft after working there for several years. As a single woman, she got tired of fighting the culture there. 

It was again a reminder to me that there are significant ramifications to the cultures of the big tech companies…especially given the power of these emerging technologies and the growing influence they are having on our culture.


Addendum on 8/20/19:

  • Google’s Hate Speech Detection A.I. Has a Racial Bias Problem — from fortunes.com by Jonathan Vanian
    Excerpt:
    A Google-created tool that uses artificial intelligence to police hate speech in online comments on sites like the New York Times has become racially biased, according to a new study. The tool, developed by Google and a subsidiary of its parent company, often classified comments written in the African-American vernacular as toxic, researchers from the University of Washington, Carnegie Mellon, and the Allen Institute for Artificial Intelligence said in a paper presented in early August at the Association for Computational Linguistics conference in Florence, Italy.
    .
  • On the positive side of things:
    Number of Female Students, Students of Color Tackling Computer Science AP on the Rise — from thejournal.com
 

Is this the future of (low-cost) healthcare? — from computerworld.com by Johnny Evans
A Zipnostic pilot program in New York hints at how Apple tech could transform healthcare.

Excerpt:

The thing is, the home visit isn’t by a doctor but an onsite “care coordinator” equipped with a full set of professional testing equipment and direct video contact with the doctor.

The coordinator runs through tests using a high-resolution camera, ultrasound, EKG, glucometer, blood pressure, oximeter, and other state-of-the-art equipment, all of which is controlled using Zipnostic’s own apps.

Test data is made available to the real doctor at the end of the camera, who can take control of the testing procedure and provide an on-the-spot medical diagnosis based on real data.

The idea is that a diagnosis can be provided at around a fifteenth of the cost of a visit to the ER, and that the data driving the diagnosis can be much more accurate than you get from, say, a video chat using an app.

 

 

Reflections on “Clay Shirky on Mega-Universities and Scale” [Christian]

Clay Shirky on Mega-Universities and Scale — from philonedtech.com by Clay Shirky
[This was a guest post by Clay Shirky that grew out of a conversation that Clay and Phil had about IPEDS enrollment data. Most of the graphs are provided by Phil.]

Excerpts:

Were half a dozen institutions to dominate the online learning landscape with no end to their expansion, or shift what Americans seek in a college degree, that would indeed be one of the greatest transformations in the history of American higher education. The available data, however, casts doubt on that idea.

Though much of the conversation around mega-universities is speculative, we already know what a mega-university actually looks like, one much larger than any university today. It looks like the University of Phoenix, or rather it looked like Phoenix at the beginning of this decade, when it had 470,000 students, the majority of whom took some or all of their classes online. Phoenix back then was six times the size of the next-largest school, Kaplan, with 78,000 students, and nearly five times the size of any university operating today.

From that high-water mark, Phoenix has lost an average of 40,000 students every year of this decade.

 

From DSC:
First of all, I greatly appreciate both Clay’s and Phil’s thought leadership and their respective contributions to education and learning through the years. I value their perspectives and their work.  Clay and Phil offer up a great article here — one worth your time to read.  

The article made me reflect on what I’ve been building upon and tracking for the last decade — a next generation ***PLATFORM*** that I believe will represent a powerful piece of a global learning ecosystem. I call this vision, “Learning from the Living [Class] Room.” Though the artificial intelligence-backed platform that I’m envisioning doesn’t yet fully exist — this new era and type of learning-based platform ARE coming. The emerging signs, technologies, trends — and “fingerprints”of it, if you will — are beginning to develop all over the place.

Such a platform will:

  • Be aimed at the lifelong learner.
  • Offer up major opportunities to stay relevant and up-to-date with one’s skills.
  • Offer access to the program offerings from many organizations — including the mega-universities, but also, from many other organizations that are not nearly as large as the mega-universities.
  • Be reliant upon human teachers, professors, trainers, subject matter experts, but will be backed up by powerful AI-based technologies/tools. For example, AI-based tools will pulse-check the open job descriptions and the needs of business and present the top ___ areas to go into (how long those areas/jobs last is anyone’s guess, given the exponential pace of technological change).

Below are some quotes that I want to comment on:

Not nothing, but not the kind of environment that will produce an educational Amazon either, especially since the top 30 actually shrank by 0.2% a year.

 

Instead of an “Amazon vs. the rest” dynamic, online education is turning into something much more widely adopted, where the biggest schools are simply the upper end of a continuum, not so different from their competitors, and not worth treating as members of a separate category.

 

Since the founding of William and Mary, the country’s second college, higher education in the U.S. hasn’t been a winner-take-all market, and it isn’t one today. We are not entering a world where the largest university operates at outsized scale, we’re leaving that world; 

 

From DSC:
I don’t see us leaving that world at all…but that’s not my main reflection here. Instead, I’m not focusing on how large the mega-universities will become. When I speak of a forthcoming Walmart of Education or Amazon of Education, what I have in mind is a platform…not one particular organization.

Consider that the vast majority of Amazon’s revenues come from products that other organizations produce. They are a platform, if you will. And in the world of platforms (i.e., software), it IS a winner take all market. 

Bill Gates reflects on this as well in this recent article from The Verge:

“In the software world, particularly for platforms, these are winner-take-all markets.

So it’s all about a forthcoming platform — or platforms. (It could be more than one platform. Consider Apple. Consider Microsoft. Consider Google. Consider Facebook.)

But then the question becomes…would a large amount of universities (and other types of organizations) be willing to offer up their courses on a platform? Well, consider what’s ALREADY happening with FutureLearn:

Finally…one more excerpt from Clay’s article:

Eventually the new ideas lose their power to shock, and end up being widely copied. Institutional transformation starts as heresy and ends as a section in the faculty handbook. 

From DSC:
This is a great point. Reminds me of this tweet from Fred Steube (and I added a piece about Western Telegraph):

 

Some things to reflect upon…for sure.

 
 

Looking for something?

Use the form below to search the site:

Still not finding what you're looking for? Drop a comment on a post or contact us so we can take care of it!

© 2019 | Daniel Christian