Radar Trends to Watch: September 2022 Developments in AI, Privacy, Biology, and More — from oreilly.com by Mike Loukides

Excerpt:

It’s hardly news to talk about the AI developments of the last month. DALL-E is increasingly popular, and being used in production. Google has built a robot that incorporates a large language model so that it can respond to verbal requests. And we’ve seen a plausible argument that natural language models can be made to reflect human values, without raising the question of consciousness or sentience.

For the first time in a long time we’re talking about the Internet of Things. We’ve got a lot of robots, and Chicago is attempting to make a “smart city” that doesn’t facilitate surveillance. We’re also seeing a lot in biology. Can we make a real neural network from cultured neurons? The big question for biologists is how long it will take for any of their research to make it out of the lab.

 

McKinsey Technology Trends Outlook 2022

Excerpt:

Which technology trends matter most for companies in 2022? New analysis by the McKinsey Technology Council highlights the development, possible uses, and industry effects of advanced technologies.

McKinsey Technology Trends Outlook 2022

 

Dive Into AI, Avatars and the Metaverse With NVIDIA at SIGGRAPH — from blogs.nvidia.com

Excerpt:

Innovative technologies in AI, virtual worlds and digital humans are shaping the future of design and content creation across every industry. Experience the latest advances from NVIDIA in all these areas at SIGGRAPH, the world’s largest gathering of computer graphics experts, [which ran from Aug. 8-11].

At SIGGRAPH, NVIDIA CEO Jensen Huang Illuminates Three Forces Sparking Graphics Revolution — from blogs.nvidia.com by Rick Merritt
NVIDIA unveils new products and research to transform industries with AI, the metaverse and digital humans.

NVIDIA AI Makes Performance Capture Possible With Any Camera — from blogs.nvidia.com by Isha Salian
Derivative, Notch, Pixotope and others use NVIDIA Vid2Vid Cameo and 3D body-pose estimation tools to drive performances in real time.

How to Start a Career in AI — from blogs.nvidia.com by Brian Caulfield
Four most important steps to starting a career in AI, seven big questions answered.

As Far as the AI Can See: ILM Uses Omniverse DeepSearch to Create the Perfect Sky — from blogs.nvidia.com by Richard Kerris
Omniverse AI-enabled search tool lets legendary studio sift through massive database of 3D scenes.

Future of Creativity on Display ‘In the NVIDIA Studio’ During SIGGRAPH Special Address — from blogs.nvidia.com by Gerardo Degaldo
Major NVIDIA Omniverse updates power 3D virtual worlds, digital twins and avatars, reliably boosted by August NVIDIA Studio Driver; #MadeInMachinima contest winner revealed.

What Is Direct and Indirect Lighting? — from blogs.nvidia.com by JJ Kim
In computer graphics, the right balance between direct and indirect lighting elevates the photorealism of a scene.

NVIDIA Studio Laptops Offer Students AI, Creative Capabilities That Are Best in… Class — from blogs.nvidia.com by Gerardo Degaldo
Designed for creativity and speed, Studio laptops are the ultimate creative tool for aspiring 3D artists, video editors, designers and photographers.

Design in the Age of Digital Twins: A Conversation With Graphics Pioneer Donald Greenberg — from blogs.nvidia.com by Rick Merritt
From his Cornell office, home to a career of 54 years and counting, he shares with SIGGRAPH attendees his latest works in progress.

 

Nvidia launches new metaverse efforts at SIGGRAPH — from inside.com

Excerpt:

There is an increasing overlap between computer graphics, the metaverse and AI and that overlap is exactly what is on display this week at the SIGGRAPH 2022 conference, where Nvidia is revealing its latest set of software innovations for computer graphics.

[On 8/11/22] at the conference, Nvidia announced a series of technology innovations that bring the metaverse and AI closer together than ever before. Among the announcements is the Nvidia Omniverse Avatar Cloud Engine, which is a set of tools and services designed to create AI-powered virtual assistants.

Also relevant/see:

Nvidia Sees a Metaverse Populated With Lifelike Chatbot Avatars
— from cnet.com by Stephen Shankland

Excerpt:

What’s happening
Nvidia announced technology to let metaverse developers create lifelike avatars that can give an animated human face to the computers that people will interact with online.

Why it matters
The metaverse needs new computing tools if it’s to live up to its potential of new 3D realms for working, learning, socializing and goofing off, and Nvidia’s technology could also eventually give humans a new look online, not just bots.

 

The Metaverse Is Not a Place — from oreilly.com by Tim O’Reilly
It’s a communications medium.

Excerpt:

Foundations of the metaverse
You can continue this exercise by thinking about the metaverse as the combination of multiple technology trend vectors progressing at different speeds and coming from different directions, and pushing the overall vector forward (or backward) accordingly. No new technology is the product of a single vector.

So rather than settling on just “the metaverse is a communications medium,” think about the various technology vectors besides real-time communications that are coming together in the current moment. What news from the future might we be looking for?

  • Virtual Reality/Augmented Reality
  • Social media
  • Gaming
  • AI
  • Cryptocurrencies and “Web3”
  • Identity

#metaverse #AI #communications #gaming #socialmedia #cryptocurrencies #Web3 #identity #bots #XR #VR #emergingtechnologies

 


Ways that artificial intelligence is revolutionizing education — from thetechedvocate.org by Matthew Lynch

Excerpt:

I was speaking with an aging schoolteacher who believes that AI is destroying education. They challenged me to come up with 26 ways that artificial intelligence (AI) is improving education, and instead, I came up with. They’re right here.


AI Startup Speeds Healthcare Innovations To Save Lives — from by Geri Stengel

Excerpt:

This project was a light-bulb moment for her. The financial industry had Bloomberg to analyze content and data to help investors uncover opportunities and minimize risk, and pharmaceutical, biotech, and medical device companies needed something similar.



 

Inside a radical new project to democratize AI — from technologyreview.com by Melissa Heikkilä
A group of over 1,000 AI researchers has created a multilingual large language model bigger than GPT-3—and they’re giving it out for free.

Excerpt:

PARIS — This is as close as you can get to a rock concert in AI research. Inside the supercomputing center of the French National Center for Scientific Research, on the outskirts of Paris, rows and rows of what look like black fridges hum at a deafening 100 decibels.

They form part of a supercomputer that has spent 117 days gestating a new large language model (LLM) called BLOOM that its creators hope represents a radical departure from the way AI is usually developed.

Unlike other, more famous large language models such as OpenAI’s GPT-3 and Google’s LaMDA, BLOOM (which stands for BigScience Large Open-science Open-access Multilingual Language Model) is designed to be as transparent as possible, with researchers sharing details about the data it was trained on, the challenges in its development, and the way they evaluated its performance. OpenAI and Google have not shared their code or made their models available to the public, and external researchers have very little understanding of how these models are trained.

Another item re: AI:

Not my job: AI researchers building surveillance tech and deepfakes resist ethical concerns — from protocol.com by Kate Kaye
The computer vision research community is behind on AI ethics, but it’s not just a research problem. Practitioners say the ethics disconnect persists as young computer vision scientists make their way into the ranks of corporate AI.

For the first time, the Computer Vision and Pattern Recognition Conference — a global event that attracted companies including Amazon, Google, Microsoft and Tesla to recruit new AI talent this year — “strongly encouraged”researchers whose papers were accepted to the conference to include a discussion about potential negative societal impacts of their research in their submission forms.

 
 

Radar Trends to Watch: June 2022 — from oreilly.com

Excerpt:

The explosion of large models continues. Several developments are especially noteworthy. DeepMind’s Gato model is unique in that it’s a single model that’s trained for over 600 different tasks; whether or not it’s a step towards general intelligence (the ensuing debate may be more important than the model itself), it’s an impressive achievement. Google Brain’s Imagen creates photorealistic images that are impressive, even after you’ve seen what DALL-E 2 can do. And Allen AI’s Macaw (surely an allusion to Emily Bender and Timnit Gebru’s Stochastic Parrots paper) is open source, one tenth the size of GPT-3, and claims to be more accurate. Facebook/Meta is also releasing an open source large language model, including the model’s training log, which records in detail the work required to train it.

 

 

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

 

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.

 

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:

 

The Future of ID in an AI World — from learningsolutionsmag.com by Markus Bernhardt and Clark Quinn

Excerpt:

Recent advances in artificial intelligence (AI) are promising great things for learning. The potential here is impressive, but there also exist many questions and insecurities around deploying AI technology for learning: What can AI do? Where is it best utilized? What are the limits? And particularly: What does that leave for the instructional designer and other human roles in learning, such as coaching and training?

We want to suggest that these developments are for the benefit of everyone—from organizational development strategy devised in the C-suite, via content creation/curation by instructional designers, right through to the learners, as well as coaches and trainers who work with the learners.

 

 
 

What’s ahead for AI, VR, NFTs, and more? — from oreilly.com by Mike Loukides
Here are some predictions for tech in 2022.

Excerpt:

Just as we saw new professions and job classifications when the web appeared in the ’90s, we’ll see new professions and services appear as a result of AI—specifically, as a result of natural language processing. We don’t yet know what these new professions will look like or what new skills they’ll require. But they’ll almost certainly involve collaboration between humans and intelligent machines.

Also see:

  • How A.I. is set to evolve in 2022 — from cnbc.com by Sam Shead
    Key Points: 
    * AI can excel at specific narrow tasks such as playing chess but it struggles to do more than one thing well.
    * While AI still has a long way to go before anything like human-level intelligence is achieved, it hasn’t stopped the likes of Google, Facebook and Amazon investing billions of dollars.
 
© 2022 | Daniel Christian