These are the most important AI trends, according to top AI experts — from nexxworks.com
Somewhat in the shadow of the (often) overhyped metaverse and Web3 paradigms, AI seems to be developing at great speed. That’s why we asked a group of top AI experts in our network to describe what they think are the most important trends, evolutions and areas of interest of the moment in that domain.

Excerpt:

All of them have different backgrounds and areas of expertise, but some patterns still emerged in their stories, several of them mentioning ethics, the impact on the climate (both positively and negatively), the danger of overhyping, the need for transparency and explainability, interdisciplinary collaborations, robots and the many challenges that still need to be overcome.

But let’s see what they have to say, shall we?

Also relevant/see:

AI IS REVOLUTIONIZING EVERY FIELD AND SCIENCE IS NO EXCEPTION — from dataconomy.com by KEREM GÜLEN

Table of Contents

  • Artificial intelligence in science
    • Artificial intelligence in science: Biology
    • Artificial intelligence in science: Physics
    • Artificial intelligence in science: Chemistry
  • AI in science and research
    • How is AI used in scientific research?
      • Protein structures can be predicted using genetic data
      • Recognizing how climate change affects cities and regions
      • Analyzing astronomical data
  • AI in science examples
    • Interpreting social history with archival data
    • Using satellite images to aid in conservation
    • Understanding complex organic chemistry
  • Conclusion

Also relevant/see:

  • How ‘Responsible AI’ Is Ethically Shaping Our Future — from learningsolutionsmag.com by Markus Bernhardt
    Excerpt:
    The PwC 2022 AI Business Survey finds that “AI success is becoming the rule, not the exception,” and, according to PwC US, published in the 2021 AI Predictions & 2021 Responsible AI Insights Report, “Responsible AI is the leading priority among industry leaders for AI applications in 2021, with emphasis on improving privacy, explainability, bias detection, and governance.”
  • Why you need an AI ethics committee — from enterprisersproject.com by Reid Blackman (requires providing email address to get the article)
 

Recent Advancements In Artificial Intelligence — from forbes.com by Gaurav Tewari

Excerpts:

As the founder of a technology investment firm, I’ve seen firsthand just how much AI has advanced in such a short period of time. The underlying building blocks of the technology are getting astonishingly better at an exponential rate, far outpacing our expectations. Techniques like deep learning allow us to run complex AI models to solve the most difficult problems. But while those who work in technology-centric careers are aware of AI’s explosive capabilities, the public at large is still largely unaware of the depth of AI’s potential.

Enterprise functions such as marketing, sales, finance and HR are all areas that can utilize new AI-enabled applications; these applications include providing customers with 24/7 financial guidance, predicting and assessing loan risks and collecting and analyzing client data.

Also relevant/see:

What is the Future of Artificial Intelligence? — from thedigitalspeaker.com by Dr. Mark van Rijmenam

Excerpts:

Let’s explore some real-life artificial intelligence applications.

  1. Using Artificial Intelligence for Navigation
  2. Marketers Use Artificial Intelligence to Increase Their Efficiency
  3. The use of Artificial Intelligence in robotics
  4. Gaming and Artificial Intelligence
  5. Incorporating Artificial Intelligence into Lifestyles

Artificial intelligence (AI): 7 roles to prioritize now — from enterprisersproject.com by Marc Lewis; with thanks to Mr. Stephen Downes for this resource
Which artificial intelligence (AI) jobs are hottest now? Consider these seven AI/ML roles to prioritize in your organization

While these seven AI roles are critical, finding talent to fill them is difficult.  AI, machine learning, and data analytics are new fields, and few people have relevant experience.

This leads us back to the fact: We are dealing with a Great Reallocation of the labor force to an AI/Machine learning, data-driven world.

3 ways AI is scaling helpful technologies worldwide — from blog.google by Jeff Dean
Decades of research have led to today’s rapid progress in AI. Today, we’re announcing three new ways people are poised to benefit.

Excerpts:

  1. Supporting 1,000 languages with AI
  2. Empowering creators and artists with AI
  3. Addressing climate change and health challenges with AI
 
  1. Radar Trends to Watch: November 2022 — from oreilly.com by Mike Loukides
    Developments in AI, Programming, Quantum Computing, and More

Excerpts:

Maintaining a separate category for AI is getting difficult. We’re seeing important articles about AI infiltrating security, programming, and almost everything else; even biology. That sounds like a minor point, but it’s important: AI is eating the world. What does it mean when an AI system can reconstruct what somebody wants to say from their brainwave? What does it mean when cultured brain cells can be configured to play Pong? They don’t play well, but it’s not long since that was a major achievement for AI.

The creators of StableDiffusion have announced HarmonyAI, a community for building AI tools for generating music. They have released an application called Dance Diffusion.

Google’s new AI can hear a snippet of song—and then keep on playing — from technologyreview.com by Tammy Xuarchive
The technique, called AudioLM, generates naturalistic sounds without the need for human annotation.

 

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.

 

Threats uncovered: QR code exploits offer personal and business risks — from technative.io by Len Noe

Excerpts:

Cyber attackers have quickly caught onto QR codes as a social vulnerability and attacks using them as the vector are on the rise.

It’s clear we intuitively trust QR codes, even though this trust is poorly founded. To get a clearer picture of exactly how QR codes could present a threat, I did some digging. Through research, I discovered a variety of ways QR codes can be used maliciously, to steal not only personal information but provide a solid base of information from which to attack an organisation.

 

What might the ramifications be for text-to-everything? [Christian]

From DSC:

  • We can now type in text to get graphics and artwork.
  • We can now type in text to get videos.
  • There are several tools to give us transcripts of what was said during a presentation.
  • We can search videos for spoken words and/or for words listed within slides within a presentation.

Allie Miller’s posting on LinkedIn (see below) pointed these things out as well — along with several other things.



This raises some ideas/questions for me:

  • What might the ramifications be in our learning ecosystems for these types of functionalities? What affordances are forthcoming? For example, a teacher, professor, or trainer could quickly produce several types of media from the same presentation.
  • What’s said in a videoconference or a webinar can already be captured, translated, and transcribed.
  • Or what’s said in a virtual courtroom, or in a telehealth-based appointment. Or perhaps, what we currently think of as a smart/connected TV will give us these functionalities as well.
  • How might this type of thing impact storytelling?
  • Will this help someone who prefers to soak in information via the spoken word, or via a podcast, or via a video?
  • What does this mean for Augmented Reality (AR), Mixed Reality (MR), and/or Virtual Reality (VR) types of devices?
  • Will this kind of thing be standard in the next version of the Internet (Web3)?
  • Will this help people with special needs — and way beyond accessibility-related needs?
  • Will data be next (instead of typing in text)?

Hmmm….interesting times ahead.

 

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

 

AI/ML in EdTech: The Miracle, The Grind, and the Wall — from eliterate.us by Michael Feldstein

Excerpt:

Essentially, I see three stages in working with artificial intelligence and machine learning (AI/ML). I call them the miracle, the grind, and the wall. These stages can have implications for both how we can get seduced by these technologies and how we can get bitten by them. The ethical implications are important.

 

4 Ways That Web Developers Can Learn More About Accessibility — from boia.org

Excerpt:

As a web developer, you know the importance of writing clean code — and limiting trouble tickets as much as possible, particularly in the first stages of product development.

An inclusive approach can help you meet those goals. When you consider the needs, preferences, and expectations of users with disabilities, you can serve your content to the broadest possible group of people. Accessible design can also reduce the time you spend on remediations and help you build components that work better for all users (including those who don’t live with disabilities).

By building your knowledge of digital accessibility, you can start enjoying the benefits. Here’s how to get started.

 

From DSC:
Now you’re talking! A team-based effort to deliver an Associate’s Degree for 1/3 of the price! Plus a job-ready certificate from Google, IBM, or Salesforce. Nice. 

Check these items out!


We started Outlier because we believe that students deserve better. So we worked from the ground up to create the best online college courses in the world, just for curious-minded learners like you.

The brightest instructors, available on-demand. Interactive materials backed by cognitive science. Flexible timing. And that’s just the beginning.

Outlier.org

MasterClass’s Co-Founder Takes on the Community-College Degree — from wsj.com by Lindsay Ellis
A new, online-only education model promises associate degrees via prerecorded lectures from experts at Yale, NASA and other prestigious institutions

Excerpts (emphasis DSC):

One of the founders of the celebrity-fueled, e-learning platform MasterClass is applying the same approach to the humble community-college degree—one based on virtual, highly produced lectures from experts at prestigious institutions around the country.

The two-year degrees—offered in applied computing, liberal studies or business administration—will be issued by Golden Gate University, a nonprofit institution in San Francisco. Golden Gate faculty and staff, not the lecturers, will be the ones to hold office hours, moderate virtual discussions and grade homework, said Outlier, which is announcing the program Wednesday and plans to start courses in the spring.

Golden Gate University and Outlier.org Reinvent Affordable College with Degrees+ — from prnewswire.com

Excerpt:

For less than one-third the price of the national average college tuition, students will earn an associate degree plus a job-ready certificate from Google, IBM, or Salesforce

NEW YORK, Sept. 7, 2022 /PRNewswire/ — Golden Gate University is launching Degrees+, powered by Outlier.org, with three associate degrees that reimagine the two-year degree for a rising generation of students that demand high quality education without the crushing cost. For annual tuition of $4,470 all-inclusive, students will earn a two-year degree that uniquely brings together the best of a college education with a career-relevant industry certificate.

Beginning today, students can apply to be part of the first class, which starts in Spring 2023.

“Imagine if everyone had the option to go to college with top instructors from HarvardYale, Google, and NASA via the highest-quality online classes. By upgrading the two-year degree, we can massively reduce student debt and set students up for success, whether that’s transferring into a four-year degree or going straight into their careers.”

Aaron Rasmussen, CEO and founder of Outlier.org
and co-founder of MasterClass

Outlier.org & Universities Call for Greater Credit Transfer Transparency — from articles.outliner.org

Excerpt:

“Outlier.org is working with leading institutions across the country to build a new kind of on-ramp to higher education,” said Aaron Rasmussen, CEO and Founder of Outlier.org. “By partnering with schools to build bridges from our courses into their degree programs, we can help students reduce the cost of their education and graduate faster.”


From DSC:
All of this reminds me of a vision I put out on my Calvin-based website at the time (To His Glory! was the name of the website.) The vision was originally called “The Forthcoming Walmart of Education” — which I renamed to “EduMart Education.”

By the way…because I’m not crazy about Walmart, I’m not crazy about that name. In today’s terms, it might be better called the new “Amazon.com of Higher Education” or something along those lines. But you get the idea. Lower prices due to new business models.

.


 

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.

 

Radar Trends to Watch: August 2022 — from oreilly.com by Mike Loukides
Developments in Security, Quantum Computing, Energy, and More

Excerpt:

The large model train keeps rolling on. This month, we’ve seen the release of Bloom, an open, large language model developed by the BigScience collaboration, the first public access to DALL-E (along with a guide to prompt engineering), a Copilot-like model for generating regular expressions from English-language prompts, and Simon Willison’s experiments using GPT-3 to explain JavaScript code.

On other fronts, NIST has released the first proposed standard for post-quantum cryptography (i.e., cryptography that can’t be broken by quantum computers). CRISPR has been used in human trials to re-engineer a patient’s DNA to reduce cholesterol. And a surprising number of cities are paying high tech remote workers to move there.

 

Coding Isn’t a Necessary Leadership Skill — But Digital Literacy Is — from hbr.org by Sophia Matveeva

Summary (emphasis DSC):

While most leaders now know that tech is a vital part of business, many are wondering what they really need to know about technology to succeed in the digital age. Coding bootcamps may appeal to some, but for many leaders, learning to code is simply not the best investment. It takes a long time to become a proficient coder, and it still doesn’t give you a holistic overview of how digital technologies get made. The good news is that most leaders don’t need to learn to code. Instead, they need to learn how to work with people who code. This means becoming a digital collaborator and learning how to work with developers, data scientists, user experience designers, and product managers — not completely retraining. The author presents four ways for non-technical leaders to become digital collaborators.

 


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.



 
© 2024 | Daniel Christian