Researchers develop VR training to tackle racial disparity — from inavateonthenet.net

Researchers at the University of Illinois Urbana-Champaign have developed a VR training system for physicians, aimed at tackling racial and class health disparities.

“Ultimately, this virtual reality training system could become a viable tool for practicing communication with diverse patients across different types of health care professions. “There’s no reason why nurses couldn’t also use this across different health care contexts — not just for Black maternal health, but chronic pain, diabetes or some of these other health issues in which we know that there are disparities based on markers of difference such as race or class”.

Two additional VR training modules are under development, aimed at promoting self-reflection by helping medical students to identify their own biases and learn how to mitigate them. The third module will focus on students practicing intercultural communication skills through interactions with a virtual patient, an approach that is seen by the researchers as more cost-effective than recruiting people for role playing with medical students.

 

From DSC:
I’ve often thought that VR could be used to help us walk in someone else’s shoes….to experience things as THEY experience things.

 


“Who to follow in AI” in 2024? [Part I] — from ai-supremacy.com by Michael Spencer [some of posting is behind a paywall]
#1-20 [of 150] – I combed the internet, I found the best sources of AI insights, education and articles. LinkedIn | Newsletters | X | YouTube | Substack | Threads | Podcasts

Also see:

Along these lines, also see:


AI In Medicine: 3 Future Scenarios From Utopia To Dystopia — from medicalfuturist.com by Andrea Koncz
There’s a vast difference between baseless fantasizing and realistic forward planning. Structured methodologies help us learn how to “dream well”.

Key Takeaways

  • We’re often told that daydreaming and envisioning the future is a waste of time. But this notion is misguided.
  • We all instinctively plan for the future in small ways, like organizing a trip or preparing for a dinner party. This same principle can be applied to larger-scale issues, and smart planning does bring better results.
  • We show you a method that allows us to think “well” about the future on a larger scale so that it better meets our needs.

Adobe Unveils Powerful New Innovations in Illustrator and Photoshop Unlocking New Design Possibilities for Creative Pros — from news.adobe.com

  • Latest Illustrator and Photoshop releases accelerate creative workflows, save pros time and empower designers to realize their visions faster
  • New Firefly-enabled features like Generative Shape Fill in Illustrator along with the Dimension Tool, Mockup, Text to Pattern, the Contextual Taskbar and performance enhancement tools accelerate productivity and free up time so creative pros can dive deeper into the parts of their work they love
  • Photoshop introduces all-new Selection Brush Tool and the general availability of Generate Image, Adjustment Brush Tool and other workflow enhancements empowering creators to make complex edits and unique designs
    .


Nike is using AI to turn athletes’ dreams into shoes — from axios.com by Ina Fried

Zoom in: Nike used genAI for ideation, including using a variety of prompts to produce images with different textures, materials and color to kick off the design process.

What they’re saying: “It’s a new way for us to work,” Nike lead footwear designer Juliana Sagat told Axios during a media tour of the showcase on Tuesday.
.


AI meets ‘Do no harm’: Healthcare grapples with tech promises — from finance.yahoo.com by Maya Benjamin

Major companies are moving at high speed to capture the promises of artificial intelligence in healthcare while doctors and experts attempt to integrate the technology safely into patient care.

“Healthcare is probably the most impactful utility of generative AI that there will be,” Kimberly Powell, vice president of healthcare at AI hardware giant Nvidia (NVDA), which has partnered with Roche’s Genentech (RHHBY) to enhance drug discovery in the pharmaceutical industry, among other investments in healthcare companies, declared at the company’s AI Summit in June.


Mistral reignites this week’s LLM rivalry with Large 2 (source) — from superhuman.ai

Today, we are announcing Mistral Large 2, the new generation of our flagship model. Compared to its predecessor, Mistral Large 2 is significantly more capable in code generation, mathematics, and reasoning. It also provides a much stronger multilingual support, and advanced function calling capabilities.


Meta releases the biggest and best open-source AI model yet — from theverge.com by Alex Heath
Llama 3.1 outperforms OpenAI and other rivals on certain benchmarks. Now, Mark Zuckerberg expects Meta’s AI assistant to surpass ChatGPT’s usage in the coming months.

Back in April, Meta teased that it was working on a first for the AI industry: an open-source model with performance that matched the best private models from companies like OpenAI.

Today, that model has arrived. Meta is releasing Llama 3.1, the largest-ever open-source AI model, which the company claims outperforms GPT-4o and Anthropic’s Claude 3.5 Sonnet on several benchmarks. It’s also making the Llama-based Meta AI assistant available in more countries and languages while adding a feature that can generate images based on someone’s specific likeness. CEO Mark Zuckerberg now predicts that Meta AI will be the most widely used assistant by the end of this year, surpassing ChatGPT.


4 ways to boost ChatGPT — from wondertools.substack.com by Jeremy Caplan & The PyCoach
Simple tactics for getting useful responses

To help you make the most of ChatGPT, I’ve invited & edited today’s guest post from the author of a smart AI newsletter called The Artificial Corner. I appreciate how Frank Andrade pushes ChatGPT to produce better results with four simple, clever tactics. He offers practical examples to help us all use AI more effectively.

Frank Andrade: Most of us fail to make the most of ChatGPT.

  1. We omit examples in our prompts.
  2. We fail to assign roles to ChatGPT to guide its behavior.
  3. We let ChatGPT guess instead of providing it with clear guidance.

If you rely on vague prompts, learning how to create high-quality instructions will get you better results. It’s a skill often referred to as prompt engineering. Here are several techniques to get you to the next level.

 

Nvidia Earnings: Stock Rallies As AI Giant Reports 600% Profit Explosion, 10-For-1 Stock Split — from forbes.com by Derek Saul

  • Nvidia reported $6.12 earnings per share and $26 billion of sales for the three-month period ending April 30, shattering mean analyst forecasts of $5.60 and $24.59 billion, according to FactSet.
  • Nvidia’s profits and revenues skyrocketed by 628% and 268% compared to 2023’s comparable period, respectively.
  • This was Nvidia’s most profitable and highest sales quarter ever, topping the quarter ending this January’s record $12.3 billion net income and $22.1 billion revenue.
  • Driving the numerous superlatives for Nvidia’s financial growth over the last year is unsurprisingly its AI-intensive datacenter division, which raked in $22.6 billion of revenue last quarter, a 427% year-over-year increase and a whopping 20 times higher than the $1.1 billion the segment brought in in 2020.

Per ChatPGT today:

NVIDIA is a prominent technology company known for its contributions to various fields, primarily focusing on graphics processing units (GPUs) and artificial intelligence (AI). Here’s an overview of NVIDIA’s main areas of activity:

1. **Graphics Processing Units (GPUs):**
– **Consumer GPUs:** NVIDIA is famous for its GeForce series of GPUs, which are widely used in gaming and personal computing for their high performance and visual capabilities.
– **Professional GPUs:** NVIDIA’s Quadro series is designed for professional applications like 3D modeling, CAD (Computer-Aided Design), and video editing.

2. **Artificial Intelligence (AI) and Machine Learning:**
– NVIDIA GPUs are extensively used in AI research and development. They provide the computational power needed for training deep learning models.
– The company offers specialized hardware for AI, such as the NVIDIA Tesla and A100 GPUs, which are used in data centers and supercomputing environments.

3. **Data Centers:**
– NVIDIA develops high-performance computing solutions for data centers, including GPU-accelerated servers and AI platforms. These products are essential for tasks like big data analytics, scientific simulations, and AI workloads.

4. **Autonomous Vehicles:**
– Through its DRIVE platform, NVIDIA provides hardware and software solutions for developing autonomous vehicles. This includes AI-based systems for perception, navigation, and decision-making.

5. **Edge Computing:**
– NVIDIA’s Jetson platform caters to edge computing, enabling AI-powered devices and applications to process data locally rather than relying on centralized data centers.

6. **Gaming and Entertainment:**
– Beyond GPUs, NVIDIA offers technologies like G-SYNC (for smoother gaming experiences) and NVIDIA GameWorks (a suite of tools for game developers).

7. **Healthcare:**
– NVIDIA’s Clara platform utilizes AI and GPU computing to advance medical imaging, genomics, and other healthcare applications.

8. **Omniverse:**
– NVIDIA Omniverse is a real-time graphics collaboration platform for 3D production pipelines. It’s designed for industries like animation, simulation, and visualization.

9. **Crypto Mining:**
– NVIDIA GPUs are also popular in the cryptocurrency mining community, although the company has developed specific products like the NVIDIA CMP (Cryptocurrency Mining Processor) to cater to this market without impacting the availability of GPUs for gamers and other users.

Overall, NVIDIA’s influence spans a broad range of industries, driven by its innovations in GPU technology and AI advancements.

 


Microsoft’s new ChatGPT competitor… — from The Rundown AI

The Rundown: Microsoft is reportedly developing a massive 500B parameter in-house LLM called MAI-1, aiming to compete with top AI models from OpenAI, Anthropic, and Google.


2024 | The AI Founder Report | Business Impact, Use cases, & Tools — from Hampton; via The Neuron

Hampton runs a private community for high-growth tech founders and CEOs. We asked our community of founders and owners how AI has impacted their business and what tools they use

Here’s a sneak peek of what’s inside:

  • The budgets they set aside for AI research and development
  • The most common (and obscure) tools founders are using
  • Measurable business impacts founders have seen through using AI
  • Where they are purposefully not using AI and much more

2024 Work Trend Index Annual Report from Microsoft and LinkedIn
AI at Work Is Here. Now Comes the Hard Part Employees want AI, leaders are looking for a path forward.

Also relevant, see Microsoft’s web page on this effort:

To help leaders and organizations overcome AI inertia, Microsoft and LinkedIn looked at how AI will reshape work and the labor market broadly, surveying 31,000 people across 31 countries, identifying labor and hiring trends from LinkedIn, and analyzing trillions of Microsoft 365 productivity signals as well as research with Fortune 500 customers. The data points to insights every leader and professional needs to know—and actions they can take—when it comes to AI’s implications for work.

 

The Verge | What’s Next With AI | February 2024 | Consumer Survey

 

 

 

 

 

 




Microsoft AI creates talking deepfakes from single photo — from inavateonthenet.net


The Great Hall – where now with AI? It is not ‘Human Connection V Innovative Technology’ but ‘Human Connection + Innovative Technology’ — from donaldclarkplanb.blogspot.com by Donald Clark

The theme of the day was Human Connection V Innovative Technology. I see this a lot at conferences, setting up the human connection (social) against the machine (AI). I think this is ALL wrong. It is, and has always been a dialectic, human connection (social) PLUS the machine. Everyone had a smartphone, most use it for work, comms and social media. The binary between human and tech has long disappeared. 


Techno-Social Engineering: Why the Future May Not Be Human, TikTok’s Powerful ForYou Algorithm, & More — from by Misha Da Vinci

Things to consider as you dive into this edition:

  • As we increasingly depend on technology, how is it changing us?
  • In the interaction between humans and technology, who is adapting to whom?
  • Is the technology being built for humans, or are we being changed to fit into tech systems?
  • As time passes, will we become more like robots or the AI models we use?
  • Over the next 30 years, as we increasingly interact with technology, who or what will we become?

 

10 Things You Can Definitely Expect From The Future Of Healthcare AI — from medicalfuturist.com by Andrea Koncz
Artificial Intelligence promises material changes on both sides of the stethoscope, but this revolution won’t unfold on its own.

Key Takeaways

  • From unlocking hidden biomarkers to streamlining administrative burdens, AI will improve patient care and redefine the role of physicians.
  • Technology can serve as a powerful tool, but healthcare remains a fundamentally human endeavor.
  • This technological revolution won’t unfold on its own, it requires collaboration between physicians, technologists, regulators, and patients.
 

Nvidia’s AI boom is only getting started. Just ask CEO Jensen Huang — from fastcompany.com by Harry McCracken
Nvidia’s chips sparked the AI revolution. Now it’s in the business of putting the technology to work in an array of industries.

Nvidia is No. 1 on Fast Company’s list of the World’s 50 Most Innovative Companies of 2024. Explore the full list of companies that are reshaping industries and culture.

Nvidia isn’t just in the business of providing ever-more-powerful computing hardware and letting everybody else figure out what to do with it. Across an array of industries, the company’s technologies, platforms, and partnerships are doing much of the heavy lifting of putting AI to work. In a single week in January 2024, for instance, Nvidia reported that it had begun beta testing its drug discovery platform, demoed software that lets video game characters speak unscripted dialogue, announced deals with four Chinese EV manufacturers that will incorporate Nvidia technology in their vehicles, and unveiled a retail-industry partnership aimed at foiling organized shoplifting.


Johnson & Johnson MedTech Works With NVIDIA to Broaden AI’s Reach in Surgery — from blogs.nvidia.com by David Niewolny

AI — already used to connect, analyze and offer predictions based on operating room data — will be critical to the future of surgery, boosting operating room efficiency and clinical decision-making.

That’s why NVIDIA is working with Johnson & Johnson MedTech to test new AI capabilities for the company’s connected digital ecosystem for surgery. It aims to enable open innovation and accelerate the delivery of real-time insights at scale to support medical professionals before, during and after procedures.

J&J MedTech is in 80% of the world’s operating rooms and trains more than 140,000 healthcare professionals each year through its education programs.


GE and NVIDIA Join Forces to Accelerate Artificial Intelligence Adoption in Healthcare — from nvidianews.nvidia.com

  • New generation of intelligent medical devices will use world’s most advanced AI platform with the goal of improving patient care
  • GE Healthcare is the first medical device company to use the NVIDIA GPU Cloud
  • New Revolution Frontier CT, powered by NVIDIA, is two times faster for image processing, proving performance acceleration has begun

Nvidia Announces Major Deals With Healthcare Companies — from cheddar.com

At the GTC A.I. conference last week, Nvidia launched nearly two dozen new A.I. powered, health care focused tools and deals with companies Johnson & Johnson and GE Healthcare for surgery and medical imaging. The move into health care space for the A.I. company is an effort that’s been under development for a decade.


Nvidia is now powering AI nurses — from byMaxwell Zeff / Gizmodo;; via Claire Zau
The cheap AI agents offer medical advice to patients over video calls in real-time

 


How Early Adopters of Gen AI Are Gaining Efficiencies — from knowledge.wharton.upenn.edu by Prasanna (Sonny) Tambe and Scott A. Snyder; via Ray Schroeder on LinkedIn
Enterprises are seeing gains from generative AI in productivity and strategic planning, according to speakers at a recent Wharton conference.

Its unique strengths in translation, summation, and content generation are especially useful in processing unstructured data. Some 80% of all new data in enterprises is unstructured, he noted, citing research firm Gartner. Very little of that unstructured data that resides in places like emails “is used effectively at the point of decision making,” he noted. “[With gen AI], we have a real opportunity” to garner new insights from all the information that resides in emails, team communication platforms like Slack, and agile project management tools like Jira, he said.


6 YouTube Channels to Stay Up to Date with AI — from heaigirl.substack.com by Diana Dovgopol
Here are some cool AI YouTube channels.

Here are 6 YouTube channels I watch to stay up to date with AI. This list will be useful whether you’re a casual AI enthusiast or an experienced programmer.

1. Matt Wolfe: AI for non-coders
This is a fast-growing YouTube channel focused on artificial intelligence for non-coders. On this channel, you’ll find videos about ChatGPT, Midjourney, and any AI tool that it’s gaining popularity.


Top AI mobile apps, Stable Video 3D, & my AI film workflow — from by Heather Cooper
Plus 1-Click 3D animation and other cool AI tools

#3 Photomath
Photomath is a comprehensive math help app that provides step-by-step explanations for a wide range of math problems, from elementary to college level. Photomath is only available as a mobile app. (link)

Features:

  • Get step-by-step solutions with multiple methods to choose from
  • Scan any math problem, including word problems, using the app’s camera
  • Access custom visual aids and extra “how” and “why” tips for deeper understanding

Google researchers unveil ‘VLOGGER’, an AI that can bring still photos to life — from venturebeat.com by Michael Nuñez

Google researchers have developed a new artificial intelligence system that can generate lifelike videos of people speaking, gesturing and moving — from just a single still photo. The technology, called VLOGGER, relies on advanced machine learning models to synthesize startlingly realistic footage, opening up a range of potential applications while also raising concerns around deepfakes and misinformation.



What We Risk By Automating Tasks We Loathe — from marcwatkins.substack.com by Marc Watkins

I’m fascinated by the potential of these tools to augment and enhance our work and creativity. There’s no denying the impressive capabilities we’re already seeing with text generation, image creation, coding assistance, and more. Used thoughtfully, AI can be a powerful productivity multiplier.

At the same time, I have significant concerns about the broader implications of this accelerating technology, especially for education and society at large. We’re traversing new ground at a breakneck pace, and it’s crucial that we don’t blindly embrace AI without considering the potential risks.

My worry is that by automating away too many tasks, even seemingly rote ones like creating slide decks, we risk losing something vital—humanity at the heart of knowledge work.


Nvidia Introduce AI Nurses — from wireprompt.substack.com | Weekkly AI Report from WirePrompt

Nvidia has announced a partnership with Hippocratic AI to introduce AI “agents” aimed at replacing nurses in hospitals. These AI “nurses” come at a significantly low cost compared to human nurses and are purportedly intended to address staffing issues by handling “low-risk,” patient-facing tasks via video calls. However, concerns are raised regarding the ethical implications and effectiveness of replacing human nurses with AI, particularly given the complex nature of medical care.



16 Changes to the Way Enterprises Are Building and Buying Generative AI — from a16z.com by Sarah Wang and Shangda Xu

TABLE OF CONTENTS

  • Resourcing: budgets are growing dramatically and here to stay
  • Models: enterprises are trending toward a multi-model, open source world
  • Use cases: more migrating to production
  • Size of total opportunity: massive and growing quickly

 

The Edtech Insiders Rundown of SXSW EDU 2024 — from edtechinsiders.substack.com by Ben Kornell, Alex Sarlin, and Sarah Morin
And more on our ASU + GSV Happy Hour, GenAI in edtech market valuations, and interviews from The Common Sense Summit.

Theme 1: The Kids Are Not Alright
This year’s SXSW EDU had something for everyone, with over a dozen “Program Tracks.” However, the one theme that truly connected the entire conference was mental health.

36 sessions were specifically tagged with mental health and wellness, but in sessions on topics ranging from literacy to edtech to civic engagement, presenters continued to come back again and again to the mental health crisis amongst teens and young adults.

Theme 2: Aye AI, Captain
Consistent with past conferences, this year leaned in on the K12 education world. As expected, one of the hottest topics for K12 was the role of AI (or lack thereof) in schools. Key takeaways included…


AI Literacy: A New Graduation Requirement and Civic Imperative — from gettingsmart.com by Tom Vander Ark and Mason Pashia

Key Points

  • There is still time to ensure that all of your students graduate with an understanding of how AI works, why it is important and how to best use it.

What would it look like to make a commitment that come graduation every senior will have at least basic AI literacy? This includes an appreciation of AI as a creation engine and learning partner but also an understanding of the risks of deepfakes and biased curation. We’re entering a time where to quote Ethan Mollick “You can’t trust anything you read or see ever again.” Whether formal or informal, it’s time to start building AI literacy.


New Alabama Education Law Represents Small But Significant Advance — from forbes.com by Jeanne Allen

Valiant Cross Academy raises the bar for young men. A young man seated in a pew is raising his hand.

More than 50 years later, across the street from the church and concerned with declining education and the pace of social change, brothers Anthony and Fred Brock founded Valiant Cross Academy, an all-male academy aimed at “helping boys of color become men of valor.”

Valiant Cross embodies King’s hopes, pursuing the dream that its students will be judged by the content of their character, not the color of their skin, and working to ensure that they are well prepared for productive lives filled with accomplishment and purpose.

“We’re out to prove that it’s an opportunity gap, not an achievement gap” says head of school Anthony Brock. And they have. In 2022, 100 percent of Valiant seniors graduated from the academy, pursuing post-graduate options, enrolling in either four- or two-year college, or established career-training programs.


 

 


[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.


 

Immersive virtual reality tackles depression stigma says study — from inavateonthenet.net

A new study from the University of Tokyo has highlighted the positive effect that immersive virtual reality experiences have for depression anti-stigma and knowledge interventions compared to traditional video.

The study found that depression knowledge improved for both interventions, however, only the immersive VR intervention reduced stigma. The VR-powered intervention saw depression knowledge score positively associated with a neural response in the brain that is indicative of empathetic concern. The traditional video intervention saw the inverse, with participants demonstrating a brain-response which suggests a distress-related response.

From DSC:
This study makes me wonder why we haven’t heard of more VR-based uses in diversity training. I’m surprised we haven’t heard of situations where we are put in someone else’s mocassins so to speak. We could have a lot more empathy for someone — and better understand their situation — if we were to experience life as others might experience it. In the process, we would likely uncover some hidden biases that we have.


Addendum on 3/12/24:

Augmented reality provides benefit for Parkinson’s physical therapy — from inavateonthenet.net

 

AI fast-tracks research to find battery material that halves lithium use — from inavateonthenet.net

Using AI, the team was able to plow through 32.6 million possible battery materials in 80 hours, a task the team estimates would have taken them 20 years to do.


Other interesting items from inavateonthenet.net:

Medical ‘hologram’ market to reach 6.8 bn by 2029

Providing audio for open spaces

 

Smart energy grids. Voice-first companion apps.
Programmable medicines. AI tools for kids. We asked
over 40 partners across a16z to preview one big idea
they believe will drive innovation in 2024.

Narrowly Tailored, Purpose-Built AI
In 2024, I predict we’ll see narrower AI solutions. While ChatGPT may be a great general AI assistant, it’s unlikely to “win” for every task. I expect we’ll see an AI platform purpose-built for researchers, a writing generation tool targeted for journalists, and a rendering platform specifically for designers, to give just a few examples.

Over the longer term, I think the products people use on an everyday basis will be tailored to their use cases — whether this is a proprietary underlying model or a special workflow built around it. These companies will have the chance to “own” the data and workflow for a new era of technology; they’ll do this by nailing one category, then expanding. For the initial product, the narrower the better.

— via Olivia Moore, who focuses on marketplace startups

 

34 Big Ideas that will change our world in 2024 — from linkedin.com

34 Big Ideas that will change our world in 2024 -- from linkedin.com 

Excerpts:

6. ChatGPT’s hype will fade, as a new generation of tailor-made bots rises up
11. We’ll finally turn the corner on teacher pay in 2024
21. Employers will combat job applicants’ use of AI with…more AI
31. Universities will view the creator economy as a viable career path

 

The Beatles’ final song is now streaming thanks to AI — from theverge.com by Chris Welch
Machine learning helped Paul McCartney and Ringo Starr turn an old John Lennon demo into what’s likely the band’s last collaborative effort.


Scientists excited by AI tool that grades severity of rare cancer — from bbc.com by Fergus Walsh

Artificial intelligence is nearly twice as good at grading the aggressiveness of a rare form of cancer from scans as the current method, a study suggests.

By recognising details invisible to the naked eye, AI was 82% accurate, compared with 44% for lab analysis.

Researchers from the Royal Marsden Hospital and Institute of Cancer Research say it could improve treatment and benefit thousands every year.

They are also excited by its potential for spotting other cancers early.


Microsoft unveils ‘LeMa’: A revolutionary AI learning method mirroring human problem solving — from venturebeat.com by Michael Nuñez

Researchers from Microsoft Research Asia, Peking University, and Xi’an Jiaotong University have developed a new technique to improve large language models’ (LLMs) ability to solve math problems by having them learn from their mistakes, akin to how humans learn.

The researchers have revealed a pioneering strategy, Learning from Mistakes (LeMa), which trains AI to correct its own mistakes, leading to enhanced reasoning abilities, according to a research paper published this week.

Also from Michael Nuñez at venturebeat.com, see:


GPTs for all, AzeemBot; conspiracy theorist AI; big tech vs. academia; reviving organs ++448 — from exponentialviewco by Azeem Azhar and Chantal Smith


Personalized A.I. Agents Are Here. Is the World Ready for Them? — from ytimes.com by Kevin Roose (behind a paywall)

You could think of the recent history of A.I. chatbots as having two distinct phases.

The first, which kicked off last year with the release of ChatGPT and continues to this day, consists mainly of chatbots capable of talking about things. Greek mythology, vegan recipes, Python scripts — you name the topic and ChatGPT and its ilk can generate some convincing (if occasionally generic or inaccurate) text about it.

That ability is impressive, and frequently useful, but it is really just a prelude to the second phase: artificial intelligence that can actually do things. Very soon, tech companies tell us, A.I. “agents” will be able to send emails and schedule meetings for us, book restaurant reservations and plane tickets, and handle complex tasks like “negotiate a raise with my boss” or “buy Christmas presents for all my family members.”


From DSC:
Very cool!


Nvidia Stock Jumps After Unveiling of Next Major AI Chip. It’s Bad News for Rivals. — from barrons.com

On Monday, Nvidia (ticker: NVDA) announced its new H200 Tensor Core GPU. The chip incorporates 141 gigabytes of memory and offers up to 60% to 90% performance improvements versus its current H100 model when used for inference, or generating answers from popular AI models.

From DSC:
The exponential curve seems to be continuing — 60% to 90% performance improvements is a huge boost in performance.

Also relevant/see:


The 5 Best GPTs for Work — from the AI Exchange

Custom GPTs are exploding, and we wanted to highlight our top 5 that we’ve seen so far:

 
© 2024 | Daniel Christian