The AR Roundup: April 2022 — from linkedin.com by Tom Emrich

Excerpts:

Every month I round up what you may have missed in Augmented Reality including the latest stats, funding news and launch announcements and more. Here is what happened in augmented reality between April 1-30, 2022.

 

12 examples of artificial intelligence in everyday life — from itproportal.com by Christopher Oldman

Excerpt:

4. Plagiarism
The college students’ (or is it professor’s?) nightmare. Whether you are a content manager or a teacher grading essays, you have the same problem – the internet makes plagiarism easier.

There is a nigh unlimited amount of information and data out there, and less-than-scrupulous students and employees will readily take advantage of that.

Indeed, no human could compare and contrast somebody’s essay with all the data out there. AIs are a whole different beast.

They can sift through an insane amount of information, compare it with the relevant text, and see if there is a match or not.

Furthermore, thanks to advancement and growth in this area, some tools can actually check sources in foreign languages, as well as images and audio.

Intel calls its AI that detects student emotions a teaching tool. Others call it ‘morally reprehensible.’ — from protocol.com by Kate Kaye
Virtual school software startup Classroom Technologies will test the controversial “emotion AI” technology.

Excerpts:

But Intel and Classroom Technologies, which sells virtual school software called Class, think there might be a better way. The companies have partnered to integrate an AI-based technology developed by Intel with Class, which runs on top of Zoom. Intel claims its system can detect whether students are bored, distracted or confused by assessing their facial expressions and how they’re interacting with educational content.

But critics argue that it is not possible to accurately determine whether someone is feeling bored, confused, happy or sad based on their facial expressions or other external signals.

The classroom is just one arena where controversial “emotion AI” is finding its way into everyday tech products and generating investor interest. It’s also seeping into delivery and passenger vehicles and virtual sales and customer service software.

MIT’s FutureMakers programs help kids get their minds around — and hands on — AI — from news.mit.edu by Kim Patch
The programs are designed to foster an understanding of how artificial intelligence technologies work, including their social implications.

Excerpt:

During one-week, themed FutureMakers Workshops organized around key topics related to AI, students learn how AI technologies work, including social implications, then build something that uses AI.

“AI is shaping our behaviors, it’s shaping the way we think, it’s shaping the way we learn, and a lot of people aren’t even aware of that,” says Breazeal. “People now need to be AI literate given how AI is rapidly changing digital literacy and digital citizenship.”

AI can now kill those annoying cookie pop-ups — from thenextweb.com by Thomas Macaulay
The notifications have been put on notice

Excerpt:

After years of suffering this digital torture, a new AI tool has finally offered hope of an escape.

Named CookieEnforcer, the system was created by researchers from Google and the University of Wisconsin-Madison.

The system was created to stop cookies from manipulating people into making website-friendly choices that put their privacy at risk. Yet it could also end the constant hassle of navigating the notices.

Using machine learning to improve student success in higher education — from mckinsey.com
Deploying machine learning and advanced analytics thoughtfully and to their full potential may support improvements in student access, success, and the overall student experience.

Excerpt:

Yet higher education is still in the early stages of data capability building. With universities facing many challenges (such as financial pressures, the demographic cliff, and an uptick in student mental-health issues) and a variety of opportunities (including reaching adult learners and scaling online learning), expanding use of advanced analytics and machine learning may prove beneficial.

Below, we share some of the most promising use cases for advanced analytics in higher education to show how universities are capitalizing on those opportunities to overcome current challenges, both enabling access for many more students and improving the student experience.

Artificial intelligence (AI): 7 roles to prioritize now — from enterprisersproject.com by Marc Lewis
Which artificial intelligence (AI) jobs are hottest now? Consider these seven AI/ML roles to prioritize in your organization

Excerpt:

Rather than a Great Resignation, this would suggest a Great Reallocation of the workforce. As a global search consultant, we are seeing this precipitous shift in positions, with great demand for skills in artificial intelligence and machine learning (AI/ML).

With that in mind, here are seven artificial intelligence (AI)-related roles to consider prioritizing right now as the workforce reallocates talent to new jobs that drive economic value for leading companies…

4 ways AI will be a great teaching assistant — from thetechedvocate.org by Matthew Lynch

 

This Week’s Awesome Tech Stories From Around the Web (Through April 30) — from singularityhub.com by Singularity Hub Staff

Topics include:

  • Computing
  • Robotics
  • Nanotechnology
  • Technology
  • Gadgets
  • Space
  • AI
  • AR

 

 

The amazing opportunities of AI in the future of the educational metaverse [Darbinyan]

The amazing opportunities of AI in the future of the educational metaverse — from forbes.com by Rem Darbinyan

Excerpt:

Looking ahead, let’s go over several potential AI-backed applications of the metaverse that can empower the education industry in many ways.

Multilingual Learning Opportunities
Language differences may be a real challenge for students from different cultures as they may not be able to understand and keep up with the materials and assignments. Artificial intelligence, VR and AR technologies can enhance multilingual accessibility for learners no matter where they are in the world. Speech-to-text, text-to-speech and machine translation technologies enrich the learning process and create more immersive learning environments.

AI can process multiple languages simultaneously and provide real-time translations, enabling learners to engage with the materials in the language of their choice. With the ability to instantly transcribe speech across multiple languages, artificial intelligence removes any language barriers for students, enabling them to be potentially involved, learn and communicate in any language.

Artificial Intelligence (AI) in Education Market size exceeded USD 1 billion in 2020 and is expected to grow at a CAGR of over 40% between 2021 and 2027. (source)

Along the lines of innovation within our educational learning ecosystems, see:

3 Questions for Coursera’s Betty Vandenbosch & U-M’s Lauren Atkins Budde on XR — from insidehighered.com by Joshua Kiim
How might extended reality shape the future of learning?

Excerpts (emphasis DSC):

[Lauren Atkins Budde] “Being able to embed quality, effective extended reality experiences into online courses is exponentially a game-changer. One of the persistent constraints of online learning, especially at scale, is how do learners get hands-on practice? How do they experience specific contexts and situations? How do they learn things that are best experienced? XR provides that opportunity for actively doing different kinds of tasks, in various environments, in ways that would otherwise not be possible. It will open up  Lauren Atkins Buddeboth how we teach online and also what we teach online.”

These courses are really exciting and cover a broad range of disciplines, which is particularly important. To choose the right subjects, we did an extensive review of insights from industry partners, learners and market research on in-demand and emerging future-of-work skills and then paired that with content opportunities where immersive learning is really a value-add and creates what our learning experience designers call “embodied learning.”

Addendum on 5/1/22:
Can the Metaverse Improve Learning? New Research Finds Some Promise — from edsurge.com by Jeffrey R. Young

“The findings support a deeper understanding of how creating unique educational experiences that feel real (i.e., create a high level of presence) through immersive technology can influence learning through different affective and cognitive processes including enjoyment and interest,” Mayer and his colleagues write.

 

We need to use more tools — that go beyond screen sharing — where we can collaborate regardless of where we’re at. [Christian]

From DSC:
Seeing the functionality in Freehand — it makes me once again think that we need to use more tools where faculty/staff/students can collaborate with each other REGARDLESS of where they’re coming in to partake in a learning experience (i.e., remotely or physically/locally). This is also true for trainers and employees, teachers and students, as well as in virtual tutoring types of situations. We need tools that offer functionalities that go beyond screen sharing in order to collaborate, design, present, discuss, and create things.  (more…)

 

The Future Trends Forum Topics page — from forum.futureofeducation.us by Bryan Alexander

Excerpt:

The Future Trends Forum has explored higher education in depth and breadth. Over six years of regular live conversations we have addressed many aspects of academia.

On this page you’ll find a list of our topics.  Consider it a kind of table of contents, or, better yet, an index to the Forum’s themes.

Also see:

Since we launched in early February, 2016, the Forum has successfully published three hundred videos to YouTube.  Week after week, month by month, over more than six years we’ve held great conversations, then shared them with the world, free of charge.

 

Radar trends to watch: April 2022 — from oreillky.com by Mike Loukides
Developments in Programming, Biology, Hardware, and More

5 Digital Transformation Themes for Higher Education — from
Explore key topics and event recordings from our latest deep dive into Digital Transformation in Higher Education.

The semiconductor decade: A trillion-dollar industry — from mckinsey.com by Ondrej Burkacky, Julia Dragon, and Nikolaus Lehmann

Drilling down into individual subsegments, about 70 percent of growth is predicted to be driven by just three industries: automotive, computation and data storage, and wireless.

Addendum later on 4/8/22:

 

Law firms are entering the metaverse, here’s why — from web3law.center by Meagan Cline

Excerpt:

Lawyers and law firms are increasingly exploring web3 and the metaverse. The technology is here and likely will only become a greater part of our society. Therefore, lawyers must at least consider how their operations may need to evolve to meet the growing demand for web3 literate legal services.

 

In this episode, David Aird talks;

  • Diversity and Inclusion
  • Social Mobility in Legal IT
  • Security Matters and Cyber-threats
  • Technology as the Answer
  • Artificial Intelligence and the Future

HUGE NEWS!

KETANJI BROWN JACKSON
TO SERVE ON THE U.S. SUPREME COURT

This Week’s Latest Additions to the LawNext Legal Technology Directory — from legaltechmonitor.com by Bob Ambrogi

This Week’s Latest Additions to the LawNext Legal Technology Directory -- by Bob Ambrogi

Photo Geotagging for Lawyers — from legaltechmonitor.com by Jim Calloway

How to automate your law office — from lawtechnologytoday.org

New Microsoft Study Reveals Work Changes: We Aren’t Going Back — from legaltechmonitor.com by Stephen Embry

https://www.lawtechnologytoday.org/2022/03/top-5-benefits-of-a-virtual-law-practice/

Reimagining Law: Embracing the Power of ‘No’ (Part 1) — from legaltechmonitor.com by 2civility

Reimagining Law: Embracing the Power of ‘No’ (Part 2) — from legaltechmonitor.com by 2civility

JUSTICE IN A CHANGING WORLD 2021 | ANNUAL REPORT — from iaals.du.edu

Another State Adopts Duty of Technology Competence for Lawyers, Bringing Total to 40 — from legaltechmonitor.com by Bob Ambrogi

IAALS Launches Allied Legal Professionals in an Effort to Increase Access to Quality Legal Services and Help Reduce Barriers to Representation — from iaals.du.edu by Kelsey Montague

Excerpt:

IAALS, the Institute for the Advancement of the American Legal System at the University of Denver, announced today that it is launching Allied Legal Professionals. With generous support from the Sturm Family Foundation, this project seeks to help standardize a new tier of legal professionals nationally—to increase the options for accessible and affordable legal help for the public.

Up and down the income scale, the legal needs of people in this country are going unmet. The inability to afford a lawyer, among other factors, has led to ballooning rates of self-representation in our justice system, with over 70 percent of civil and family cases including a party without a lawyer. People in these situations are not only facing life-altering challenges such as child custody hearings or landlord/tenant issues alone—they also face disproportionately bad outcomes in their cases.

Addendums on 4/8/22:

 

The Wild World of NFTs — from legaltalknetwork.com by Dennis Kennedy & Tom Mighell

Description of podcast:

What are non-fungible tokens, and why should you care? Dennis & Tom break down the definition of these unique digital objects (art, video, and much more) and outline the issues surrounding their current hype and value in the real world. NFTs have the potential to engage a surprising variety of legal angles, so lawyers in any area of the law need an understanding of this new trend in virtual property.

Later on, the guys chat about the established tradition of tech announcements and whether they are still necessary or useful for consumers.

 

Technology Trends for 2022 — from oreilly.com
What O’Reilly Learning Platform Usage Tells Us About Where the Industry Is Headed

Excerpt:

It’s been a year since our last report on the O’Reilly learning platform. Last year we cautioned against a “horse race” view of technology. That caution is worth remembering: focus on the horse race and the flashy news and you’ll miss the real stories. While new technologies may appear on the scene suddenly, the long, slow process of making things that work rarely attracts as much attention. We start with an explosion of fantastic achievements that seem like science fiction—imagine, GPT-3 can write stories!—but that burst of activity is followed by the process of putting that science fiction into production, of turning it into real products that work reliably, consistently, and fairly. AI is making that transition now; we can see it in our data. But what other transitions are in progress? What developments represent new ways of thinking, and what do those ways of thinking mean? What are the bigger changes shaping the future of software development and software architecture? This report is about those transitions.

O’Reilly Answers
We’re very excited about O’Reilly Answers, the newest product on the platform. Answers is an intelligent search that takes users directly to relevant content, whether that’s a paragraph from a book, a snippet of a video, or a block of code that answers a question. Rather than searching for an appropriate book or video and skimming through it, you can ask a specific question like “How do you flatten a list of lists in Python?” (a question I’ve asked several times). 


Also see:


 
 

Now we just need a “Likewise TV” for learning-related resources! [Christian]

Likewise TV Brings Curation to Streaming — from lifewire.com by Cesar Aroldo-Cadenas
And it’s available on iOS, Android, and some smart TVs

All your streaming services in one place. One search. One watchlist. Socially powered recommendations.

Entertainment startup Likewise has launched a new recommendations hub that pulls from all the different streaming platforms to give you personalized picks.

Likewise TV is a streaming hub powered by machine learning, people from the Likewise community, and other streaming services. The service aims to do away with mindlessly scrolling through a menu, looking for something to watch, or jumping from one app to another by providing a single location for recommendations.

Note that Likewise TV is purely an aggregator.


Also see:

Likewise TV -- All your streaming services in one place. One search. One watchlist. Socially powered recommendations.

 


From DSC:
Now we need this type of AI-based recommendation engine, aggregator, and service for learning-related resources!

I realize that we have a long ways to go here — as a friend/former colleague of mine just reminded me that these recommendation engines often miss the mark. I’m just hoping that a recommendation engine like this could ingest our cloud-based learner profiles and our current goals and then present some promising learning-related possibilities for us. Especially if the following graphic is or will be the case in the future:


Learning from the living class room


Also relevant/see:

From DSC:
Some interesting/noteworthy features:

  • “The 32- inch display has Wi-Fi capabilities to supports multiple streaming services, can stream smartphone content, and comes with a removable SlimFit Cam.”
  • The M8 has Wi-Fi connectivity for its native streaming apps so you won’t have to connect to a computer to watch something on Netflix. And its Far Field Voice mic can be used w/ the Always On feature to control devices like Amazon Alexa with your voice, even if the monitor is off.
  • “You can also connect devices to the monitor via the SmartThings Hub, which can be tracked with the official SmartThings app.”

I wonder how what we call the TV (or television) will continue to morph in the future.


Addendum on 3/31/22 from DSC:
Perhaps people will co-create their learning playlists…as is now possible with Spotify’s “Blend” feature:

Today’s Blend update allows you to share your personal Spotify playlists with your entire group chat—up to 10 users. You can manually invite these friends and family members to join you from in the app, then Spotify will create a playlist for you all to listen to using a mixture of everyone’s music preferences. Spotify will also create a special share card that everyone in the group can use to save and share the created playlist in the future.


 

Announcing the 2022 AI Index Report — from hai.stanford.edu by Stanford University

Excerpt/description:

Welcome to the Fifth Edition of the AI Index

The AI Index is an independent initiative at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), led by the AI Index Steering Committee, an interdisciplinary group of experts from across academia and industry. The annual report trackscollatesdistills, and visualizes data relating to artificial intelligence, enabling decision-makers to take meaningful action to advance AI responsibly and ethically with humans in mind.

The 2022 AI Index report measures and evaluates the rapid rate of AI advancement from research and development to technical performance and ethics, the economy and education, AI policy and governance, and more. The latest edition includes data from a broad set of academic, private, and non-profit organizations as well as more self-collected data and original analysis than any previous editions.

Also relevant/see:

  • Andrew Ng predicts the next 10 years in AI — from venturebeat.com by George Anadiotis
  • Nvidia’s latest AI wizardry turns 2D photos into 3D scenes in milliseconds — from thenextweb.com by Thomas Macaulay
    The Polaroid of the future?
    Nvidia events are renowned for mixing technical bravado with splashes of showmanship — and this year’s GTC conference was no exception. The company ended a week that introduced a new enterprise GPU and an Arm-based “superchip” with a trademark flashy demo. Some 75 years after the world’s first instant photo captured the 3D world in a 2D picture…

Nvidia believes Instant NeRF could generate virtual worlds, capture video conferences in 3D, and reconstruct scenes for 3D maps.

 

Some announcements from NVIDIA today:


Nvidia unveils server CPU to challenge Intel and AMD in the data center — from protocol.com by Max A. Cherney
Nvidia’s CEO Jensen Huang announced the company’s next-generation GPU architecture and a new CPU Tuesday.

The new Grace processor is designed for AI, high-performance computing and hyperscale data center applications.

Nvidia launched a mapping product for the autonomous vehicle industry — from techcrunch.com by Rebecca Bellan

Nvidia has launched a new mapping platform that will provide the autonomous vehicle industry with ground truth mapping coverage of over 300,000 miles of roadway in North America, Europe and Asia by 2024, founder and CEO Jensen Huang said at the company’s GTC event on Tuesday.

NVIDIA Launches AI Computing Platform for Medical Devices — from hitconsultant.net by Jasmine Pennic

Nvidia Unveils AI Chips and Software, Plus Tools for Creating Virtual Worlds — by Eric Savitz and Conor Smith

Excerpt:

Nvidia is doubling down on artificial-intelligence  technology that CEO Jensen Huang predicts will revolutionize every industry.

In the keynote speech for the annual Nvidia GTC conference—the acronym once stood for GPU Technology Conference, a reference to the company’s roots in graphics processing chips—Huang focused specifically on expanding the company’s portfolio of AI-focused chips and software applications.

Nvidia CEO lays out plans after Arm deal fell through, reveals new Hopper GPU — from marketwatch.com by Jeremy C. Owens
Roadmap seems little changed after chip maker ditched $40 billion acquisition of designer Arm, with new GPUs and first server CPU still on track as EV makers sign on for autonomous-driving tech


Addendum 3/26/22:

Nvidia’s Clara Holoscan MGX means to bring high-powered AI to the doctor’s office — from techcrunch.com


Addendum 3/28/22:

Nvidia’s $1 trillion ambitions draw cheers as software becomes a bigger piece of the pie — from marketwatch.com


 
© 2024 | Daniel Christian