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12 recent AI developments that are not just reshaping the industry, but our everyday lives [Barsee]

On 06/02/2023, in 21st century, 3D, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital learning, digital storytelling, education technology, educational games / serious games, emerging technologies, innovation, instructional design, intelligent systems, intelligent tutoring, interaction design, interactivity, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, NVIDIA, story, storytelling, tools, training / L&D, universities, by Daniel Christian

From DSC:
I also wanted to highlight the item below, which Barsee also mentioned above, as it will likely hit the world of education and training as well:

Also relevant/see:

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NVIDIA ACE for Games Sparks Life Into Virtual Characters With Generative AI

On 05/31/2023, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, content development, aggregation, repositories, creativity, Daniel S. Christian, education technology, emerging technologies, engagement / engaging students, experimentation, future, intelligent systems, intelligent tutoring, multimedia, NVIDIA, by Daniel Christian

NVIDIA ACE for Games is a new foundry for intelligent in-game characters powered by generative AI. Developers of middleware, tools, and games can use NVIDIA ACE for Games to build and deploy customized speech, conversation, and animation AI models in their software and games.

From DSC:
I can’t wait to see this type of thing integrated into educational games/simulations/training.

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AI in Learning: The Impact of ChatGPT on L&D & Workflow Learning [Mosher & Clark]. Plus other items that show that the AI competition continues!

On 05/29/2023, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assistive technologies, Bias | Diversity Equity & Inclusion (DE&I), digital learning, digital video, education, education technology, educational games / serious games, emerging technologies, future, game-changing environment, health, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning spaces, Microsoft, NVIDIA, professional development, teachers, teaching & learning, teaching online, technologies for your home, tools, training / L&D, trends, UK, United States, vendors, vision/possibilities, webinars, by Daniel Christian

From DSC:
And how long before that type of interactivity is embedded into learning-related applications/games?!

 

AI in Learning: The Impact of ChatGPT on L&D & Workflow Learning — from linkedin.com; this event by Bob Mosher features his conversation with Donald Clark

AI in Learning: The Impact of ChatGPT on L&D & Workflow Learning -- from linkedin.com; this event by Bob Mosher features his conversation with Donald Clark

Bill Gates says AI is poised to destroy search engines and Amazon — from futurism.com by Victor Tangermann
Who will win the AI [competition]? (DSC: I substituted the word competition here, as that’s what it is. It’s not a war, it’s a part of America’s way of doing business.)

“Whoever wins the personal agent, that’s the big thing, because you will never go to a search site again, you will never go to a productivity site, you’ll never go to Amazon again,” Gates said during a Goldman Sachs event on AI in San Francisco this week, as quoted by CNBC.

These AI assistants could “read the stuff you don’t have time to read,” he said, allowing users to get to information without having to use a search engine like Google.

EdX launches ChatGPT-powered plugin, learning assistant — from edscoop.com
The online learning firm edX introduced two new tools powered by ChatGPT, the “first of many innovations” in generative AI for the platform.

The online learning platform edX introduced two new tools on Friday based on OpenAI’s ChatGPT technology: an edX plugin for ChatGPT and a learning assistant embedded in the edX platform, called Xpert.

According to the company, its plugin will enable ChatGPT Plus subscribers to discover educational programs and explore learning content such as videos and quizzes across edX’s library of 4,200 courses.

Bing is now the default search for ChatGPT — from theverge.com by Tom Warren; via superhuman.beehiiv.com
The close partnership between Microsoft and OpenAI leads to plug-in interoperability and search defaults.

Excerpt:

OpenAI will start using Bing as the default search experience for ChatGPT. The new search functionality will be rolling out to ChatGPT Plus users today and will be enabled for all free ChatGPT users soon through a plug-in in ChatGPT.

How ChatGPT Could Help or Hurt Students With Disabilities — from chronicle.com by Beth McMurtrie

Excerpt:

  • Students with mobility challenges may find it easier to use generative AI tools — such as ChatGPT or Elicit — to help them conduct research if that means they can avoid a trip to the library.
  • Students who have trouble navigating conversations — such as those along the autism spectrum — could use these tools for “social scripting.” In that scenario, they might ask ChatGPT to give them three ways to start a conversation with classmates about a group project.
  • Students who have trouble organizing their thoughts might benefit from asking a generative AI tool to suggest an opening paragraph for an essay they’re working on — not to plagiarize, but to help them get over “the terror of the blank page,” says Karen Costa, a faculty-development facilitator who, among other things, focuses on teaching, learning, and living with ADHD. “AI can help build momentum.”
  • ChatGPT is good at productive repetition. That is a practice most teachers use anyway to reinforce learning. But AI can take that to the next level by allowing students who have trouble processing information to repeatedly generate examples, definitions, questions, and scenarios of concepts they are learning.

It’s not all on you to figure this out and have all the answers. Partner with your students and explore this together.

A new antibiotic, discovered with artificial intelligence, may defeat a dangerous superbug — from edition.cnn.com by Brenda Goodman

8 YouTube Channels to Learn AI — from techthatmatters.beehiiv.com by Harsh Makadia

  • The AI Advantage (link)
  • Jason West (link)
  • TheAIGRID (link)
  • Prompt Engineering (link)
  • Matt Wolfe (link)
  • Two-Minute Papers (link)
  • Brett Malinowski (link)
  • 10X Income (link)

AI and the Future of Teaching and Learning | Insights and Recommendations from the Office of Educational Technology

Artificial Intelligence and the Future of Teaching and Learning | Insights and Recommendations — with thanks to Robert Gibson on LinkedIn for this resource

Ai Valley -- the latest source of AI tools and prompts

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Some ideas & resources re: how we could use AI to enhance our learning ecosystems

On 05/09/2023, in 21st century, 24x7x365 access, 3D, A/V -- audio/visual, accessibility / UDL, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, blogs / blogging / vlogging, cloud-based computing / apps / other cloud-related, collaboration, colleges, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, creativity, design, digital learning, education technology, elearning, emerging technologies, future, game-changing environment, graphics, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, learning ecosystem, Learning Experience Design, NVIDIA, pedagogy, personalized/customized learning, platforms, podcasting, simulations, tools, training / L&D, United States, universities, usability, user experience (UX), using teams, vendors, Virtual courts, virtual field trips, virtual K-12 schools, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, visualizing information, voice recognition / voice enabled interfaces, Web3, by Daniel Christian

Brainyacts #57: Education Tech— from thebrainyacts.beehiiv.com by Josh Kubicki

Excerpts:

Let’s look at some ideas of how law schools could use AI tools like Khanmigo or ChatGPT to support lectures, assignments, and discussions, or use plagiarism detection software to maintain academic integrity.

  1. Personalized learning
  2. Virtual tutors and coaches
  3. Interactive simulations
  4. Enhanced course materials
  5. Collaborative learning
  6. Automated assessment and feedback
  7. Continuous improvement
  8. Accessibility and inclusivity

AI Will Democratize Learning — from td.org by Julia Stiglitz and Sourabh Bajaj

Excerpts:

In particular, we’re betting on four trends for AI and L&D.

  1. Rapid content production
  2. Personalized content
  3. Detailed, continuous feedback
  4. Learner-driven exploration

In a world where only 7 percent of the global population has a college degree, and as many as three quarters of workers don’t feel equipped to learn the digital skills their employers will need in the future, this is the conversation people need to have.
…
Taken together, these trends will change the cost structure of education and give learning practitioners new superpowers. Learners of all backgrounds will be able to access quality content on any topic and receive the ongoing support they need to master new skills. Even small L&D teams will be able to create programs that have both deep and broad impact across their organizations.

The Next Evolution in Educational Technologies and Assisted Learning Enablement — from educationoneducation.substack.com by Jeannine Proctor

Excerpt:

Generative AI is set to play a pivotal role in the transformation of educational technologies and assisted learning. Its ability to personalize learning experiences, power intelligent tutoring systems, generate engaging content, facilitate collaboration, and assist in assessment and grading will significantly benefit both students and educators.

How Generative AI Will Enable Personalized Learning Experiences — from campustechnology.com by Rhea Kelly

Excerpt:

With today’s advancements in generative AI, that vision of personalized learning may not be far off from reality. We spoke with Dr. Kim Round, associate dean of the Western Governors University School of Education, about the potential of technologies like ChatGPT for learning, the need for AI literacy skills, why learning experience designers have a leg up on AI prompt engineering, and more. And get ready for more Star Trek references, because the parallels between AI and Sci Fi are futile to resist.

The Promise of Personalized Learning Never Delivered. Today’s AI Is Different — from the74million.org by John Bailey; with thanks to GSV for this resource

Excerpts:

There are four reasons why this generation of AI tools is likely to succeed where other technologies have failed:

    1. Smarter capabilities
    2. Reasoning engines
    3. Language is the interface
    4. Unprecedented scale

Latest NVIDIA Graphics Research Advances Generative AI’s Next Frontier — from blogs.nvidia.com by Aaron Lefohn
NVIDIA will present around 20 research papers at SIGGRAPH, the year’s most important computer graphics conference.

Excerpt:

NVIDIA today introduced a wave of cutting-edge AI research that will enable developers and artists to bring their ideas to life — whether still or moving, in 2D or 3D, hyperrealistic or fantastical.

Around 20 NVIDIA Research papers advancing generative AI and neural graphics — including collaborations with over a dozen universities in the U.S., Europe and Israel — are headed to SIGGRAPH 2023, the premier computer graphics conference, taking place Aug. 6-10 in Los Angeles.

The papers include generative AI models that turn text into personalized images; inverse rendering tools that transform still images into 3D objects; neural physics models that use AI to simulate complex 3D elements with stunning realism; and neural rendering models that unlock new capabilities for generating real-time, AI-powered visual details.

 

Also relevant to the item from Nvidia (above), see:

Unreal Engine’s Metahuman Creator — with thanks to Mr. Steven Chevalia for this resource

Excerpt:

MetaHuman is a complete framework that gives any creator the power to use highly realistic human characters in any way imaginable.

It includes MetaHuman Creator, a free cloud-based app that enables you to create fully rigged photorealistic digital humans in minutes.

From Unreal Engine -- Dozens of ready-made MetaHumans are at your fingertips.

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“The future of artificial intelligence hangs in the balance.” The critical importance of what happens in and with Taiwan.

On 05/09/2023, in 21st century, Amazon, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, computer science, corporate / business world, disruption, emerging technologies, engineering, future, game-changing environment, global / globalization, Google, legislatures / government / legal, Microsoft, NVIDIA, United States, vendors, by Daniel Christian

From DSC:
As Rob Toews points out in his recent article out at Forbes.com, we had better hope that the Taiwan Semiconductor Manufacturing Company (TSMC) builds out the capacity to make chips in various countries. Why? Because:

The following statement is utterly ludicrous. It is also true. The world’s most important advanced technology is nearly all produced in a single facility.

What’s more, that facility is located in one of the most geopolitically fraught areas on earth—an area in which many analysts believe that war is inevitable within the decade.

The future of artificial intelligence hangs in the balance.

The Taiwan Semiconductor Manufacturing Company (TSMC) makes ***all of the world’s advanced AI chips.*** Most importantly, this means Nvidia’s GPUs; it also includes the AI chips from Google, AMD, Amazon, Microsoft, Cerebras, SambaNova, Untether and every other credible competitor.

— from The Geopolitics Of AI Chips Will Define The Future Of AI
out at Forbes.com by Rob Toews

Little surprise, then, that Time Magazine described TSMC
as “the world’s most important company that you’ve
probably never heard of.”

 

From DSC:
If that facility was actually the only one and something happened to it, look at how many things would be impacted as of early May 2023!

 

Examples of generative AI models

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Radar Trends to Watch: May 2023 Developments in Programming, Security, Web, and More [Loukides]

On 05/02/2023, in Amazon, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), computer science, Facebook / Meta Platforms, Google, Microsoft, NVIDIA, platforms, programming, tools, trends, vendors, Virtual Reality (VR) / worlds / learning, web design and production, XR - extended reality, by Daniel Christian

Radar Trends to Watch: May 2023 Developments in Programming, Security, Web, and More — from oreilly.com by Mike Loukides

Excerpt:

Large language models continue to colonize the technology landscape. They’ve broken out of the AI category, and now are showing up in security, programming, and even the web. That’s a natural progression, and not something we should be afraid of: they’re not coming for our jobs. But they are remaking the technology industry.

One part of this remaking is the proliferation of “small” large language models. We’ve noted the appearance of llama.cpp, Alpaca, Vicuna, Dolly 2.0, Koala, and a few others. But that’s just the tip of the iceberg. Small LLMs are appearing every day, and some will even run in a web browser. This trend promises to be even more important than the rise of the “large” LLMs, like GPT-4. Only a few organizations can build, train, and run the large LLMs. But almost anyone can train a small LLM that will run on a well-equipped laptop or desktop.

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“…we may soon be able to generate full-length movies from just a handful of text prompts within the next few years.” [The Rundown]

On 04/20/2023, in 21st century, 24x7x365 access, future, media/film, multimedia, NVIDIA, research, by Daniel Christian

New NVIDIA Research — excerpted section from this version of The Rundown

The NVIDIA research team just dropped a new research paper on creating high-quality short videos from text prompts. This technique uses Video Latent Diffusion Models (Video LDMs), which work efficiently without using too much computing power.

It can create 113 frame-long videos at 1280×2048 resolution, rendered at 24 FPS, resulting in 4.7-second clips. The team first trained the model on images, then added a time dimension to make it work with videos.

This new research is impressive. At the current pace of development, we may soon be able to generate full-length movies from just a handful of text prompts within the next few years.

Also relevant/see:

 

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Jensen Huang: ‘We are at the iPhone moment of AI’ + several other items re: AI

On 03/23/2023, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, Canada, cloud-based computing / apps / other cloud-related, computer science, content development, aggregation, repositories, design, Google, graphics, NVIDIA, platforms, society, the downsides of technology, tools, United States, vendors, workplace, by Daniel Christian

Nvidia will bring AI to every industry, says CEO Jensen Huang in GTC keynote: ‘We are at the iPhone moment of AI’ — from venturebeat.com by Sharon Goldman

Excerpt:

As Nvidia’s annual GTC conference gets underway, founder and CEO Jensen Huang, in his characteristic leather jacket and standing in front of a vertical green wall at Nvidia headquarters in Santa Clara, California, delivered a highly-anticipated keynote that focused almost entirely on AI. His presentation announced partnerships with Google, Microsoft and Oracle, among others, to bring new AI, simulation and collaboration capabilities to “every industry.”

Introducing Mozilla.ai: Investing in trustworthy AI — from blog.mozilla.org by Mark Surman
We’re committing $30M to build Mozilla.ai: A startup — and a community — building a trustworthy, independent, and open-source AI ecosystem.

Excerpt (emphasis DSC):

We’re only three months into 2023, and it’s already clear what one of the biggest stories of the year is: AI. AI has seized the public’s attention like Netscape did in 1994, and the iPhone did in 2007.

New tools like Stable Diffusion and the just-released GPT-4 are reshaping not just how we think about the internet, but also communication and creativity and society at large. Meanwhile, relatively older AI tools like the recommendation engines that power YouTube, TikTok and other social apps are growing even more powerful — and continuing to influence billions of lives.

This new wave of AI has generated excitement, but also significant apprehension. We aren’t just wondering What’s possible? and How can people benefit? We’re also wondering What could go wrong? and How can we address it? Two decades of social media, smartphones and their consequences have made us leery.    

ChatGPT plugins — from openai.com

Excerpt:

Users have been asking for plugins since we launched ChatGPT (and many developers are experimenting with similar ideas) because they unlock a vast range of possible use cases. We’re starting with a small set of users and are planning to gradually roll out larger-scale access as we learn more (for plugin developers, ChatGPT users, and after an alpha period, API users who would like to integrate plugins into their products). We’re excited to build a community shaping the future of the human–AI interaction paradigm.

Bots like ChatGPT aren’t sentient. Why do we insist on making them seem like they are? — from cbc.ca by Matt Meuse
‘There’s no secret homunculus inside the system that’s understanding what you’re talking about’

Excerpt:

LLMs like ChatGPT are trained on massive troves of text, which they use to assemble responses to questions by analyzing and predicting what words could most plausibly come next based on the context of other words. One way to think of it, as Marcus has memorably described it, is “auto-complete on steroids.”

Marcus says it’s important to understand that even though the results sound human, these systems don’t “understand” the words or the concepts behind them in any meaningful way. But because the results are so convincing, that can be easy to forget.

“We’re doing a kind of anthropomorphization … where we’re attributing some kind of animacy and life and intelligence there that isn’t really,” he said.

10 gifts we unboxed at Canva Create — from canva.com
Earlier this week we dropped 10 unopened gifts onto the Canva homepage of 125 million people across the globe. Today, we unwrapped them on the stage at Canva Create.

Google Bard Plagiarized Our Article, Then Apologized When Caught — from tomshardware.com by Avram Piltch
The chatbot implied that it had conducted its own CPU tests.

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Major announcements from a key vendor in the AI space — NVIDIA

On 03/21/2023, in 21st century, 24x7x365 access, 3D, A/V -- audio/visual, art, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, cloud-based computing / apps / other cloud-related, collaboration, content development, aggregation, repositories, corporate / business world, creativity, design, emerging technologies, engineering, entrepreneurship, Facebook / Meta Platforms, future, game-changing environment, generational differences, Holographic comms, human-computer interaction (HCI), immersion, innovation, intelligent systems, intelligent tutoring, IT in HE, languages and translation, media/film, Metaverse, multimedia, Natural Language Processing (NLP), new business models, NVIDIA, online media, pace of change, personalized/customized learning, platforms, society, technology (general), tools, United States, user experience (UX), vendors, Virtual courts, virtual field trips, virtual K-12 schools, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, visualizing information, web-based collaboration, Web3, workplace, by Daniel Christian

Explore Breakthroughs in AI, Accelerated Computing, and Beyond at NVIDIA's GTC -- keynote was held on March 21 2023

Explore Breakthroughs in AI, Accelerated Computing, and Beyond at GTC — from nvidia.com
The Conference for the Era of AI and the Metaverse

 

Addendums on 3/22/23:

Generative AI for Enterprises — from nvidia.com
Custom-built for a new era of innovation and automation.

Excerpt:

Impacting virtually every industry, generative AI unlocks a new frontier of opportunities—for knowledge and creative workers—to solve today’s most important challenges. NVIDIA is powering generative AI through an impressive suite of cloud services, pre-trained foundation models, as well as cutting-edge frameworks, optimized inference engines, and APIs to bring intelligence to your enterprise applications.

NVIDIA AI Foundations is a set of cloud services that advance enterprise-level generative AI and enable customization across use cases in areas such as text (NVIDIA NeMo™), visual content (NVIDIA Picasso), and biology (NVIDIA BioNeMo™). Unleash the full potential with NeMo, Picasso, and BioNeMo cloud services, powered by NVIDIA DGX™ Cloud—the AI supercomputer.

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Looking to 2023 and beyond — various postings/resources re: potential futures

On 12/22/2022, in 5G, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), bots, business, change, cloud-based computing / apps / other cloud-related, corporate / business world, data related items, education, emerging technologies, entrepreneurship, Europe, experimentation, future, game-changing environment, global / globalization, health, innovation, intelligent systems, internet, IT in HE, Metaverse, Mixed Reality (MR), Natural Language Processing (NLP), NVIDIA, robotics, technology (general), telemedicine / telehealth / virtual health, trends, United States, user experience (UX), vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, voice recognition / voice enabled interfaces, workplace, XR - extended reality, by Daniel Christian

How AI And 5G Could Lead The Next Phase Of The Industrial Revolution — from swisscognitive.ch

Some use cases of the convergence of AI and 5G are:

  • Metaverse: AI is a key technology that helps bring Metaverse to life and now with the addition of 5G, streaming experiences would become enjoyable and maintaining connectivity without any disruption of external factors like geographical locations would be eliminated.
  • Digital assistants in the form of chatbots and virtual avatars: Digital assistants today use AI to replicate the human brain and converse with people in human language by understanding intent. With 5G the speed at which the speech is converted to text will improve drastically.
  • Education: AI and 5G are helping bring education to students’ doorstep through virtual reality and is making this available, efficiently as in real-world classrooms. Solving queries is possible quickly without any restrictions. Betty in Archie Comics attending her classes virtually is a reality due to these technologies.
  • Healthcare: AI and 5G in healthcare are proliferating an accurate diagnosis of diseases, real-time monitoring, and quick treatment facilities. This has become possible with the right use of data- collection, transmission, and analysis.
  • Automotive: AI and 5G together is making vehicles smarter and reducing the risk of mishaps on roads by employing various data-powered safety and driving efficiency measures in vehicles.

AI Timelines: What Do Experts in Artificial Intelligence Expect for the Future? — from singularityhub.com by Dr. Max Roser

Excerpt:

What I do take away from these surveys however, is that the majority of AI experts take the prospect of very powerful AI technology seriously. It is not the case that AI researchers dismiss extremely powerful AI as mere fantasy.

The huge majority thinks that in the coming decades there is an even chance that we will see AI technology which will have a transformative impact on our world. While some have long timelines, many think it is possible that we have very little time before these technologies arrive. Across the three surveys more than half think that there is a 50% chance that a human-level AI would be developed before some point in the 2060s, a time well within the lifetime of today’s young people.

Future Of Health: Top Five Digital Health Innovations For 2023 — from forbes.com by Anita Gupta

Excerpts:

  • Connected Digital Care
  • AI In Healthcare
  • Real-World Patient Engagement In Healthcare
  • Increase Security For Digital And Health Data
  • Improving Telehealth Services

Looking ahead to 2023: AI, machine learning, RTLS and robotic process automation — from healthcareitnews.com by Bill Siwicki
These advanced technologies will do more to help provider organizations with workflow optimization, staff shortages and the patient experience in the year ahead, one expert predicts.

Three reasons why NLP will go mainstream in healthcare in 2023 — from healthcareitnews.com by Bill Siwicki
A natural language processing expert explains why he feels the technology’s kinks have been ironed out, its ROI has been proven and the timing is right for healthcare to take advantage of information-extraction tools.

13 tech predictions for 2023 — from enterprisersproject.com by Katie Sanders
What can you expect in the world of IT next year? Business and IT leaders share their thoughts

Analysts Predictions About AI In 2023 — from forbes.com by Gil Press

Excerpts:

  • Automated software development
  • Automated content and commerce
  • Enterprise governance, risk, sustainability and security
  • Consumer interactions and experiences

Top 5 Edge AI Trends to Watch in 2023 — from nvidia.com by Amanda Saunders

Excerpt:

Until now, AI has operated almost exclusively in the cloud. But increasingly diverse streams of data are being generated around the clock from sensors at the edge. These require real-time inference, which is leading more AI deployments to move to edge computing.

For airports, stores, hospitals and more, AI brings advanced efficiency, automation and even cost reduction, which is why edge AI adoption accelerated last year.

In 2023, expect to see a similarly challenging environment, which will drive the following edge AI trends.

Digital transformation: 5 trends to watch in 2023 — from enterprisersproject.com by Ritish Reddy
As enterprises continue to digitally transform, IT leaders must look toward the future. Expect to see these trends in 2023

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NVIDIA Teams With Microsoft to Build Massive Cloud AI Computer

On 11/18/2022, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Microsoft, NVIDIA, vendors, by Daniel Christian

NVIDIA Teams With Microsoft to Build Massive Cloud AI Computer — from nvidianews.nvidia.com
Tens of Thousands of NVIDIA GPUs, NVIDIA Quantum-2 InfiniBand and Full Stack of NVIDIA AI Software Coming to Azure; NVIDIA, Microsoft and Global Enterprises to Use Platform for Rapid, Cost-Effective AI Development and Deployment

Excerpt:

NVIDIA announced [on 11/16/22] a multi-year collaboration with Microsoft to build one of the most powerful AI supercomputers in the world, powered by Microsoft Azure’s advanced supercomputing infrastructure combined with NVIDIA GPUs, networking and full stack of AI software to help enterprises train, deploy and scale AI, including large, state-of-the-art models.

Addendum on 11/20/22:

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“Get Ready to Relearn How to Use the Internet” + several other items re: AI

On 11/02/2022, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, change, computer science, content development, aggregation, repositories, corporate / business world, data related items, emerging technologies, entrepreneurship, future, game-changing environment, generational differences, global / globalization, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, IT in HE, languages and translation, Learning from the Living [Class] Room, Natural Language Processing (NLP), NVIDIA, platforms, programming, skills, social learning / networks, society, vendors, vision/possibilities, by Daniel Christian

Get Ready to Relearn How to Use the Internet — from bloomberg.com by Tyle Cowen; with thanks to Sam DeBrule for this resource
Everyone knows that an AI revolution is coming, but no one seems to realize how profoundly it will change their day-to-day life.

Excerpts:

This year has brought a lot of innovation in artificial intelligence, which I have tried to keep up with, but too many people still do not appreciate the import of what is to come. I commonly hear comments such as, “Those are cool images, graphic designers will work with that,” or, “GPT-3 is cool, it will be easier to cheat on term papers.” And then they end by saying: “But it won’t change my life.”

This view is likely to be proven wrong — and soon, as AI is about to revolutionize our entire information architecture. You will have to learn how to use the internet all over again.
…
Change is coming. Consider Twitter, which I use each morning to gather information about the world. Less than two years from now, maybe I will speak into my computer, outline my topics of interest, and somebody’s version of AI will spit back to me a kind of Twitter remix, in a readable format and tailored to my needs.

The AI also will be not only responsive but active. Maybe it will tell me, “Today you really do need to read about Russia and changes in the UK government.” Or I might say, “More serendipity today, please,” and that wish would be granted.

Of course all this is just one man’s opinion. If you disagree, in a few years you will be able to ask the new AI engines what they think.

Some other recent items from Sam DeBrule include:

Natural Language Assessment: A New Framework to Promote Education — from ai.googleblog.com by Kedem Snir and Gal Elidan

Excerpt:

In this blog, we introduce an important natural language understanding (NLU) capability called Natural Language Assessment (NLA), and discuss how it can be helpful in the context of education. While typical NLU tasks focus on the user’s intent, NLA allows for the assessment of an answer from multiple perspectives. In situations where a user wants to know how good their answer is, NLA can offer an analysis of how close the answer is to what is expected. In situations where there may not be a “correct” answer, NLA can offer subtle insights that include topicality, relevance, verbosity, and beyond. We formulate the scope of NLA, present a practical model for carrying out topicality NLA, and showcase how NLA has been used to help job seekers practice answering interview questions with Google’s new interview prep tool, Interview Warmup.

How AI could help translate extreme weather alerts — from axios.com by Ayurella Horn-Muller

Excerpt:

A startup that provides AI-powered translation is working with the National Weather Service to improve language translations of extreme weather alerts across the U.S.

Using GPT-3 to augment human intelligence — from escapingflatland.substack.com by Henrik Karlsson

Excerpt:

When I’ve been doing this with GPT-3, a 175 billion parameter language model, it has been uncanny how much it reminds me of blogging. When I’m writing this, from March through August 2022, large language models are not yet as good at responding to my prompts as the readers of my blog. But their capacity is improving fast and the prices are dropping.

Soon everyone can have an alien intelligence in their inbox.

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Deloitte State of AI Report 2022 calls out underachievers [Sharon Goldman]

On 10/22/2022, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, change, changing business models, corporate / business world, corporate universities / corporate training, emerging technologies, experimentation, game-changing environment, new business models, NVIDIA, organizational change, pace of change, platforms, programming, skills, staying relevant, strategy, training / L&D, workplace, by Daniel Christian

Deloitte State of AI Report 2022 calls out underachievers — from venturebeat.com by Sharon Goldman

Excerpt:

Deloitte released the fifth edition of its State of AI in the Enterprise research report today, which surveyed more than 2,600 global executives on how businesses and industries are deploying and scaling artificial intelligence (AI) projects.

Most notably, the Deloitte report found that while AI continues to move tantalizingly closer to the core of the enterprise – 94% of business leaders agree that AI is critical to success over the next five years – for some, outcomes seem to be lagging.

What is a surprise, she added, is how quickly the AI landscape is changing – to the point that what began as an every-other-year Deloitte report is now created annually. 

From DSC:
I’m reminded of some graphics here…

 

Also relevant/see:

‘State of AI in the Enterprise’ Fifth Edition Uncovers Four Key Actions to Maximize AI Value — from deloitte.com
Research reveals the key actions leaders can take to accelerate AI outcomes

Key takeaways

For Deloitte’s “State of AI in the Enterprise,” Fifth Edition, we surveyed 2,620 global business leaders representing six industry areas and dozens of sectors. Key findings include:

  • Ninety-four percent of business leaders surveyed agree that AI is critical to success over the next five years.
  • Seventy-nine percent of leaders say they have fully deployed three or more AI applications, compared to 62% last year.
  • There was a 29% increase in the number of respondents self-identifying as “underachievers,” suggesting that many organizations are struggling to achieve meaningful AI outcomes.
  • Top challenges associated with scaling according to respondents are managing AI-related risk (50%), lack of executive commitment (50%), lack of maintenance and post launch support (50%).
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The 5 Biggest Artificial Intelligence (AI) Trends In 2023

On 10/16/2022, in 21st century, art, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, business, career development, corporate / business world, corporate universities / corporate training, creativity, culture, emerging technologies, ethics, future, morals/values, NVIDIA, skills, society, tools, training / L&D, trends, United States, workplace, by Daniel Christian

The 5 Biggest Artificial Intelligence (AI) Trends In 2023 — from forbes.com by Bernard Marr

Excerpt:

Today, the technology most commonly used to achieve AI is machine learning – advanced software algorithms designed to carry out one specific task, such as answering questions, translating languages or navigating a journey – and become increasingly good at it as they are exposed to more and more data.

Worldwide, spending by governments and business on AI technology will top $500 billion in 2023, according to IDC research. But how will it be used, and what impact will it have? Here, I outline what I believe will be the most important trends around the use of AI in business and society over the next 12 months.

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Radar Trends to Watch: October 2022 [Loukides]

On 10/09/2022, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, computer science, copyright/ownership/NFTs, cryptocurrencies, data related items, Facebook / Meta Platforms, Google, innovation, internet, Metaverse, Natural Language Processing (NLP), NVIDIA, platforms, social media, technology (general), trends, Web3, by Daniel Christian

Radar Trends to Watch: October 2022 — from oreilly.com by Mike Loukides
Developments in Machine Learning, Metaverse, Web3, and More

Excerpt:

September was a busy month. In addition to continued fascination over art generation with DALL-E and friends, and the questions they pose for intellectual property, we see interesting things happening with machine learning for low-powered processors: using attention, mechanisms, along with a new microcontroller that can run for a week on a single AA battery. In other parts of the technical universe, “platform engineering” has been proposed as an alternative to both DevOps and SRE. We’ve seen demonstrations of SQL injection-like attacks against GPT-3; and companies including Starbucks, Chipotle, and Universal Studios are offering NFT-based loyalty programs. (In addition to a Chipotle’s steak grilling demo in the Metaverse.)

Also relevant/see:

General AI News — from essentials.news

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