[Report] Generative AI Top 150: The World’s Most Used AI Tools (Feb 2024) — from flexos.work by Daan van Rossum
FlexOS.work surveyed Generative AI platforms to reveal which get used most. While ChatGPT reigns supreme, countless AI platforms are used by millions.

As the FlexOS research study “Generative AI at Work” concluded based on a survey amongst knowledge workers, ChatGPT reigns supreme.

2. AI Tool Usage is Way Higher Than People Expect – Beating Netflix, Pinterest, Twitch.
As measured by data analysis platform Similarweb based on global web traffic tracking, the AI tools in this list generate over 3 billion monthly visits.

With 1.67 billion visits, ChatGPT represents over half of this traffic and is already bigger than Netflix, Microsoft, Pinterest, Twitch, and The New York Times.

.


Artificial Intelligence Act: MEPs adopt landmark law — from europarl.europa.eu

  • Safeguards on general purpose artificial intelligence
  • Limits on the use of biometric identification systems by law enforcement
  • Bans on social scoring and AI used to manipulate or exploit user vulnerabilities
  • Right of consumers to launch complaints and receive meaningful explanations


The untargeted scraping of facial images from CCTV footage to create facial recognition databases will be banned © Alexander / Adobe Stock


A New Surge in Power Use Is Threatening U.S. Climate Goals — from nytimes.com by Brad Plumer and Nadja Popovich
A boom in data centers and factories is straining electric grids and propping up fossil fuels.

Something unusual is happening in America. Demand for electricity, which has stayed largely flat for two decades, has begun to surge.

Over the past year, electric utilities have nearly doubled their forecasts of how much additional power they’ll need by 2028 as they confront an unexpected explosion in the number of data centers, an abrupt resurgence in manufacturing driven by new federal laws, and millions of electric vehicles being plugged in.


OpenAI and the Fierce AI Industry Debate Over Open Source — from bloomberg.com by Rachel Metz

The tumult could seem like a distraction from the startup’s seemingly unending march toward AI advancement. But the tension, and the latest debate with Musk, illuminates a central question for OpenAI, along with the tech world at large as it’s increasingly consumed by artificial intelligence: Just how open should an AI company be?

The meaning of the word “open” in “OpenAI” seems to be a particular sticking point for both sides — something that you might think sounds, on the surface, pretty clear. But actual definitions are both complex and controversial.


Researchers develop AI-driven tool for near real-time cancer surveillance — from medicalxpress.com by Mark Alewine; via The Rundown AI
Artificial intelligence has delivered a major win for pathologists and researchers in the fight for improved cancer treatments and diagnoses.

In partnership with the National Cancer Institute, or NCI, researchers from the Department of Energy’s Oak Ridge National Laboratory and Louisiana State University developed a long-sequenced AI transformer capable of processing millions of pathology reports to provide experts researching cancer diagnoses and management with exponentially more accurate information on cancer reporting.


 

Generative AI’s environmental costs are soaring — and mostly secret — from nature.com by Kate Crawfold
First-of-its-kind US bill would address the environmental costs of the technology, but there’s a long way to go.

Last month, OpenAI chief executive Sam Altman finally admitted what researchers have been saying for years — that the artificial intelligence (AI) industry is heading for an energy crisis. It’s an unusual admission. At the World Economic Forum’s annual meeting in Davos, Switzerland, Altman warned that the next wave of generative AI systems will consume vastly more power than expected, and that energy systems will struggle to cope. “There’s no way to get there without a breakthrough,” he said.

I’m glad he said it. I’ve seen consistent downplaying and denial about the AI industry’s environmental costs since I started publishing about them in 2018. Altman’s admission has got researchers, regulators and industry titans talking about the environmental impact of generative AI.


Get ready for the age of sovereign AI | Jensen Huang interview— from venturebeat.com by Dean Takahashi

Yesterday, Nvidia reported $22.1 billion in revenue for its fourth fiscal quarter of fiscal 2024 (ending January 31, 2024), easily topping Wall Street’s expectations. The revenues grew 265% from a year ago, thanks to the explosive growth of generative AI.

He also repeated a notion about “sovereign AI.” This means that countries are protecting the data of their users and companies are protecting data of employees through “sovereign AI,” where the large-language models are contained within the borders of the country or the company for safety purposes.



Yikes, Google — from theneurondaily.com by Noah Edelman
PLUS: racially diverse nazis…WTF?!

Google shoots itself in the foot.
Last week was the best AND worst week for Google re AI.

The good news is that its upcoming Gemini 1.5 Pro model showcases remarkable capabilities with its expansive context window (details forthcoming).

The bad news is Google’s AI chatbot “Gemini” is getting A LOT of heat after generating some outrageous responses. Take a look:

Also from the Daily:

  • Perplexity just dropped this new podcast, Discover Daily, that recaps the news in 3-4 minutes.
  • It already broke into the top #200 news pods within a week.
  • AND it’s all *100% AI-generated*.

Daily Digest: It’s Nvidia’s world…and we’re just living in it. — from bensbites.beehiiv.com

  • Nvidia is building a new type of data centre called AI factory. Every company—biotech, self-driving, manufacturing, etc will need an AI factory.
  • Jensen is looking forward to foundational robotics and state space models. According to him, foundational robotics could have a breakthrough next year.
  • The crunch for Nvidia GPUs is here to stay. It won’t be able to catch up on supply this year. Probably not next year too.
  • A new generation of GPUs called Blackwell is coming out, and the performance of Blackwell is off the charts.
  • Nvidia’s business is now roughly 70% inference and 30% training, meaning AI is getting into users’ hands.

Gemma: Introducing new state-of-the-art open models  — from blog.google


 

 

Education evolves to match the speed of tech innovation — from Tech predictions for 2024 and beyond — from allthingsdistributed.com
Higher education alone cannot keep up with the rate of technological change. Industry-led skills-based training programs will emerge that more closely resemble the journeys of skilled tradespeople. This shift to continuous learning will benefit individuals and businesses alike.

Similar to the software development processes of decades past, we have reached a pivotal point with tech education, and we will see what was once bespoke on-the-job-training for a few evolve into industry-led skills-based education for many.

We have seen glimpses of this shift underway for years. Companies like Coursera, who originally focused on consumers, have partnered with enterprises to scale their upskilling and reskilling efforts. Degree apprenticeships have continued to grow in popularity because education can be specialized by the employer, and apprentices can earn as they learn. But now, companies themselves are starting to seriously invest in skills-based education at scale.

All of these programs enable learners at different points in their career journey to gain the exact skills they need to enter in-demand roles, without the commitment of a traditional multi-year program.

But there will be many industries where the impact of technology outpaces traditional educational systems. To meet the demands of business, we will see a new era of industry-led educational opportunities that can’t be ignored.

From DSC:
It seems to me that this is saying that higher education is not able to — nor will it be able to in the future — match the speed of innovation taking place today. Therefore, alternatives will continue to hit the learning landscapes/radar. For example, Amazon’s CTO, Dr. Werner Vogels, mentioned Amazon’s efforts here:

Amazon just announced that it has already trained 21 million tech learners across the world in tech skills. And it’s in part thanks to programs like the Mechatronics and Robotics Apprenticeship and AWS Cloud Institute.

 

WHAT WAS GARY MARCUS THINKING, IN THAT INTERVIEW WITH GEOFF HINTON? — from linkedin.com by Stephen Downes

Background (emphasis DSC): 60 Minutes did an interview with ‘the Godfather of AI’, Geoffrey Hinton. In response, Gary Marcus wrote a column in which he inserted his own set of responses into the transcript, as though he were a panel participant. Neat idea. So, of course, I’m stealing it, and in what follows, I insert my own comments as I join the 60 Minutes panel with Geoffrey Hinton and Gary Marcus.

Usually I put everyone else’s text in italics, but for this post I’ll put it all in normal font, to keep the format consistent.

Godfather of Artificial Intelligence Geoffrey Hinton on the promise, risks of advanced AI


OpenAI’s Revenue Skyrockets to $1.3 Billion Annualized Rate — from maginative.com by Chris McKay
This means the company is generating over $100 million per month—a 30% increase from just this past summer.

OpenAI, the company behind the viral conversational AI ChatGPT, is experiencing explosive revenue growth. The Information reports that CEO Sam Altman told the staff this week that OpenAI’s revenue is now crossing $1.3 billion on an annualized basis. This means the company is generating over $100 million per month—a 30% increase from just this past summer.

Since the launch of a paid version of ChatGPT in February, OpenAI’s financial growth has been nothing short of meteoric. Additionally, in August, the company announced the launch of ChatGPT Enterprise, a commercial version of its popular conversational AI chatbot aimed at business users.

For comparison, OpenAI’s total revenue for all of 2022 was just $28 million. The launch of ChatGPT has turbocharged OpenAI’s business, positioning it as a bellwether for demand for generative AI.



From 10/13:


New ways to get inspired with generative AI in Search — from blog.google
We’re testing new ways to get more done right from Search, like the ability to generate imagery with AI or creating the first draft of something you need to write.

 

ChatGPT scams are the new crypto scams, Meta warns — from engadget.com by Karissa Bell
Meta plans to roll out new “Work Accounts” for businesses to guard against hacks.

Excerpt:

As the buzz around ChatGPT and other generative AI increases, so has scammers’ interest in the tech. In a new report published by Meta, the company says it’s seen a sharp uptick in malware disguised as ChatGPT and similar AI software.

In a statement, the company said that since March of 2023 alone, its researchers have discovered “ten malware families using ChatGPT and other similar themes to compromise accounts across the internet” and that it’s blocked more than 1,000 malicious links from its platform. According to Meta, the scams often involve mobile apps or browser extensions posing as ChatGPT tools. And while in some cases the tools do offer some ChatGPT functionality, their real purpose is to steal their users’ account credentials.

AI Is Reshaping the Battlefield and the Future of Warfare — from bloomberg.com by Jackie Davalos and Nate Lanxon
In this episode of AI IRL, Jackie Davalos and Nate Lanxon talk about one of the most dangerous applications of artificial intelligence: modern warfare

Excerpt:

Artificial intelligence has triggered an arms race with the potential to transform modern-day warfare. Countries are vying to develop cutting-edge technology at record speed, sparking concerns about whether we understand its power before it’s deployed.

From DSC:
I wish that humankind — especially those of us in the United States — would devote less money to warfare and more funding to education.

 

VR & robotics could be the future of medical training — from vrscout.com by Kyle Melnick
FundamentalVR is partnering with Haply Robotics to provide more realistic VR surgical simulations.

VR & Robotics Could Be The Future Of Medical Training

Also relevant/see:

 

How ChatGPT is going to change the future of work and our approach to education — from livemint.com

From DSC: 
I thought that the article made a good point when it asserted:

The pace of technological advancement is booming aggressively and conversations around ChatGPT snatching away jobs are becoming more and more frequent. The future of work is definitely going to change and that makes it clear that the approach toward education is also demanding a big shift.

A report from Dell suggests that 85% of jobs that will be around in 2030 do not exist yet. The fact becomes important as it showcases that the jobs are not going to vanish, they will just change and most of the jobs by 2030 will be new.

The Future of Human Agency — from pewresearch.org by Janna Anderson and Lee Rainie

Excerpt:

Thus the question: What is the future of human agency? Pew Research Center and Elon University’s Imagining the Internet Center asked experts to share their insights on this; 540 technology innovators, developers, business and policy leaders, researchers, academics and activists responded. Specifically, they were asked:

By 2035, will smart machines, bots and systems powered by artificial intelligence be designed to allow humans to easily be in control of most tech-aided decision-making that is relevant to their lives?

The results of this nonscientific canvassing:

    • 56% of these experts agreed with the statement that by 2035 smart machines, bots and systems will not be designed to allow humans to easily be in control of most tech-aided decision-making.
    • 44% said they agreed with the statement that by 2035 smart machines, bots and systems will be designed to allow humans to easily be in control of most tech-aided decision-making.

What are the things humans really want agency over? When will they be comfortable turning to AI to help them make decisions? And under what circumstances will they be willing to outsource decisions altogether to digital systems?

The next big threat to AI might already be lurking on the web — from zdnet.com by Danny Palmer; via Sam DeBrule
Artificial intelligence experts warn attacks against datasets used to train machine-learning tools are worryingly cheap and could have major consequences.

Excerpts:

Data poisoning occurs when attackers tamper with the training data used to create deep-learning models. This action means it’s possible to affect the decisions that the AI makes in a way that is hard to track.

By secretly altering the source information used to train machine-learning algorithms, data-poisoning attacks have the potential to be extremely powerful because the AI will be learning from incorrect data and could make ‘wrong’ decisions that have significant consequences.

Why AI Won’t Cause Unemployment — from pmarca.substack.com by Marc Andreessen

Excerpt:

Normally I would make the standard arguments against technologically-driven unemployment — see good summaries by Henry Hazlitt (chapter 7) and Frédéric Bastiat (his metaphor directly relevant to AI). And I will come back and make those arguments soon. But I don’t even think the standand arguments are needed, since another problem will block the progress of AI across most of the economy first.

Which is: AI is already illegal for most of the economy, and will be for virtually all of the economy.

How do I know that? Because technology is already illegal in most of the economy, and that is becoming steadily more true over time.

How do I know that? Because:


From DSC:
And for me, it boils down to an inconvenient truth: What’s the state of our hearts and minds?

AI, ChatGPT, Large Language Models (LLMs), and the like are tools. How we use such tools varies upon what’s going on in our hearts and minds. A fork can be used to eat food. It can also be used as a weapon. I don’t mean to be so blunt, but I can’t think of another way to say it right now.

  • Do we care about one another…really?
  • Has capitalism gone astray?
  • Have our hearts, our thinking, and/or our mindsets gone astray?
  • Do the products we create help or hurt others? It seems like too many times our perspective is, “We will sell whatever they will buy, regardless of its impact on others — as long as it makes us money and gives us the standard of living that we want.” Perhaps we could poll some former executives from Philip Morris on this topic.
  • Or we will develop this new technology because we can develop this new technology. Who gives a rat’s tail about the ramifications of it?

 

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

 

Police are rolling out new tech without knowing their effects on people — from The Algorithm by Melissa Heikkilä

Excerpt:

I got lucky—my encounter was with a drone in virtual reality as part of an experiment by a team from University College London and the London School of Economics. They’re studying how people react when meeting police drones, and whether they come away feeling more or less trusting of the police.

It seems obvious that encounters with police drones might not be pleasant. But police departments are adopting these sorts of technologies without even trying to find out.

“Nobody is even asking the question: Is this technology going to do more harm than good?” says Aziz Huq, a law professor at the University of Chicago, who is not involved in the research.

 

For those majoring in Engineering

 

 

 

The Top 10 Digital Health Stories Of 2022 — from medicalfuturist.com by Dr. Bertalan Mesko

Excerpt:

Edging towards the end of the year, it is time for a summary of how digital health progressed in 2022. It is easy to get lost in the noise – I myself shared well over a thousand articles, studies and news items between January and the end of November 2022. Thus, just like in 20212020 (and so on), I picked the 10 topics I believe will have the most significance in the future of healthcare.

9. Smart TVs Becoming A Remote Care Platform
The concept of turning one’s TV into a remote care hub isn’t new. Back in 2012, researchers designed a remote health assistance system for the elderly to use through a TV set. But we are exploring this idea now as a major tech company has recently pushed for telehealth through TVs. In early 2022, electronics giant LG announced that its smart TVs will be equipped with the remote health platform Independa. 

And in just a few months (late November) came a follow-up: a product called Carepoint TV Kit 200L, in beta testing now. Powered by Amwell’s Converge platform, the product is aimed at helping clinicians more easily engage with patients amid healthcare’s workforce shortage crisis.

Also relevant/see:

Asynchronous Telemedicine Is Coming And Here Is Why It’s The Future Of Remote Care — from medicalfuturist.com by Dr. Bertalan Mesko

Excerpt:

Asynchronous telemedicine is one of those terms we will need to get used to in the coming years. Although it may sound alien, chances are you have been using some form of it for a while.

With the progress of digital health, especially due to the pandemic’s impact, remote care has become a popular approach in the healthcare setting. It can come in two forms: synchronous telemedicine and asynchronous telemedicine.

 

How High School Should Change for an Era of AI and Robots — from edsurge.com by Jeffrey R. Young

Excerpt:

In other words, we have for the last century and a half in the knowledge economy been educating our students to become repositories of information—whether they’re lawyers or doctors [or engineers] and so forth. And then somebody pays them a great deal of money to extract some of that knowledge from their heads. What’s happening now is that’s being reposited in algorithms increasingly, and that’s only going to be more the case going forward, so that the most intelligent, capable medical diagnostician, I predict, will be a computer somewhere in the next 20 years.

What is the role of the doctor then? The doctor’s role is to be a knowledgeable interpreter of that algorithmic diagnosis—to check it, to make sure that there wasn’t a snafu, and to make sure that there is no social bias in the outcome. And also to help interpret that into a regimen for treatment and healing on the part of the patient in a human-connected, empathic way.

And [at Iowa Big], one of the very first questions that one of her teachers asked her was, ‘What makes you mad?’

The systems that we have for public education are becoming more rigidified, not more experimental and resilient. And they’re becoming increasingly non-functional. And I believe they’re going to face some sort of systemic collapse.

And here are several other items from the education space:

All Teacher Shortages Are Local, New Research Finds — from the74million.org by Kevin Mahnken
In a study released [on 12/1/22], researchers show that teacher vacancy levels vary drastically between schools in the same communities

Excerpt:

K-12 teacher shortages — one of the most disputed questions in education policy today — are an undeniable reality in some communities, a newly released study indicates. But they are also a hyper-local phenomenon, the authors write, with fully staffed schools existing in close proximity to those that struggle to hire and retain teachers.

The paper, circulated Thursday through Brown University’s Annenberg Institute for School Reform, uses a combination of survey responses and statewide administrative records from Tennessee to create a framework for identifying how and where teacher shortages emerge.

Why Are Americans Fleeing Public Schools? — from washingtonpost.com by John D. Harden and Steven Johnson
Seven parents on choosing private education for their kids

Excerpt:

The pandemic transformed the landscape of K-12 education. Some parents withdrew their kids from public school and placed them into private or home schools. Their reasons varied: Many preferred private schools that offered in-person instruction; others distrusted public schools’ pandemic precautions.

It’s not clear whether those trends will stick, and the factors are complex. So far, data show that since 2019, private enrollment is up, public enrollment is down and home schooling has become more popular. Families flocked to private and home schools at the greatest rate in a decade, according to American Community Survey estimates from the U.S. Census. The government projects that K-12 public school enrollment — already facing demographic pressures — will drop further to about 46 million students by fall 2030, according to the National Center for Education Statistics, reversing decades of growth.

 

 

Mississippi microschools are expanding education options for families — from spn.org by Kerry McDonald

Excerpt:

When Stephanie Harper decided to open Harper Learning Academy in Byram, Mississippi in August, her goal was to create a small, personalized educational setting in which her daughter would thrive. Conventional classroom environments weren’t a good match for Harper’s child. They also weren’t working well for the daughter of Harper’s colleague, Tekeeta Funchess. Harper and Funchess had been longtime teachers in the Jackson Public Schools before they left their jobs to provide educational consulting services to public school districts through the firm Harper founded in 2016.

As they worked together, they realized their daughters were experiencing similar challenges in standard school settings. “We’re mothers with children who learn differently who are trying to improve the system but realized that the system wasn’t working for our children,” said Harper, who is a certified teacher with a Ph.D. in education. They also suspected it wasn’t working for many other children as well.

 

Your iPhone Has 26 New Accessibility Tools You Shouldn’t Ignore — from ios.gadgethacks.com by Jovana Naumovski

Excerpt (emphasis DSC):

Magnifier has a new Door Detection option on iOS 16, which helps blind and low-vision users locate entryways when they arrive at their destination. The tool can tell you how far away the door is, if the door is open or closed, how to open it (push it, turn the knob, pull the handle, etc.), what any signs say (like room numbers), what any symbols mean (like people icons for restrooms), and more.

From DSC:
By the way, this kind of feature would be great to work in tandem with devices such as the Double Robotics Telepresence Robot — i.e., using Machine-to-Machine (M2M) communications to let the robot and automatic doors communicate with each other so that remote students can “get around on campus.”

 

It would be great to have M2M communications with mobile robots to get through doors and to open elevator doors as well

 


Along the lines of accessibility-related items, also relevant/see:

Microsoft introduces sign language for Teams — from inavateonthenet.net

Excerpt:

Microsoft has announced a sign language view for Teams to help signers and others who use sign language. The information on screen will be prioritised on centre stage, in a consistent location, throughout every meeting.

When sign language view is enabled, the prioritised video streams automatically appear at the right aspect ratio and at the highest available quality. Like pinning and captioning, sign language view is personal to each user and will not impact what others see in the meeting.


 

 

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
 
© 2024 | Daniel Christian