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Category: robotics/AI – Page 1,059

Paige Announces Collaboration with Microsoft to Build the World’s Largest Image-Based AI Model to Fight Cancer

NEW YORK—()— Paige, a technology disruptor in healthcare, has joined forces with Microsoft in the fight against cancer, making headway in their collaboration to transform cancer diagnosis and patient care by building the world’s largest image-based artificial intelligence (AI) models for digital pathology and oncology.

“Unleashing the power of AI is a game changer in advancing healthcare to improve lives.” Tweet this

Paige, a global leader in end-to-end digital pathology solutions and clinical AI, developed the first Large Foundation Model using over one billion images from half a million pathology slides across multiple cancer types. Paige is developing with Microsoft a new AI model that is orders-of-magnitude larger than any other image-based AI model existing today, configured with billions of parameters. This model assists in capturing the subtle complexities of cancer and serves as the cornerstone for the next generation of clinical applications and computational biomarkers that push the boundaries of oncology and pathology.

AI and the New Digital Cold War

Globalization is not dead, but it is changing. The United States and China are creating two separate spheres for technology, and artificial intelligence is on the front lines of this new “Digital Cold War.” If democracies want to succeed in this new era of “re-globalization” they will need to coordinate across governments and between the private and public sectors. AI is coming, whether we like it or not. We are at a fork in the road and all segments of society will need to pitch in to build AI systems that contribute to a just and democratic future where humans can thrive.

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Companies and countries need to prioritize collaboration and transformation over competition and disruption.

Scientists invent micro-robots to probe human cells

This microbot has the adeptness to navigate precisely within clusters of cells.

In recent years, introducing tiny robots into biological studies and therapeutic delivery has generated significant excitement and is poised to revolutionize the medical field.

These mini robotic systems, often measuring just a few millimeters or even smaller, bring various capabilities and advantages, transforming multiple aspects of medicine, including targeting precise tumor sites to deliver drugs, cellular simulation, and even performing microsurgery.

New physics-based self-learning machines could replace current artificial neural networks and save energy

Artificial intelligence not only affords impressive performance, but also creates significant demand for energy. The more demanding the tasks for which it is trained, the more energy it consumes.

Víctor López-Pastor and Florian Marquardt, two scientists at the Max Planck Institute for the Science of Light in Erlangen, Germany, present a method by which could be trained much more efficiently. Their approach relies on instead of the digital currently used. The work is published in the journal Physical Review X.

The amount of energy required to train GPT-3, which makes ChatGPT an eloquent and apparently well-informed Chatbot, has not been revealed by Open AI, the company behind that artificial intelligence (AI). According to the German statistics company Statista, this would require 1,000 megawatt hours—about as much as 200 German households with three or more people consume annually. While this has allowed GPT-3 to learn whether the word “deep” is more likely to be followed by the word “sea” or “learning” in its , by all accounts it has not understood the underlying meaning of such phrases.

Generative AI’s Biggest Security Flaw Is Not Easy to Fix

It’s easy to trick the large language models powering chatbots like OpenAI’s ChatGPT and Google’s Bard. In one experiment in February, security researchers forced Microsoft’s Bing chatbot to behave like a scammer. Hidden instructions on a web page the researchers created told the chatbot to ask the person using it to hand over their bank account details. This kind of attack, where concealed information can make the AI system behave in unintended ways, is just the beginning.

Hundreds of examples of “indirect prompt injection” attacks have been created since then. This type of attack is now considered one of the most concerning ways that language models could be abused by hackers. As generative AI systems are put to work by big corporations and smaller startups, the cybersecurity industry is scrambling to raise awareness of the potential dangers. In doing so, they hope to keep data—both personal and corporate—safe from attack. Right now there isn’t one magic fix, but common security practices can reduce the risks.

“Indirect prompt injection is definitely a concern for us,” says Vijay Bolina, the chief information security officer at Google’s DeepMind artificial intelligence unit, who says Google has multiple projects ongoing to understand how AI can be attacked. In the past, Bolina says, prompt injection was considered “problematic,” but things have accelerated since people started connecting large language models (LLMs) to the internet and plug-ins, which can add new data to the systems. As more companies use LLMs, potentially feeding them more personal and corporate data, things are going to get messy. “We definitely think this is a risk, and it actually limits the potential uses of LLMs for us as an industry,” Bolina says.

Futuristic robotaxi could be coming soon, claims Cruise

Robotaxi company Cruise is “just days away” from getting regulatory approval that would pave the way for mass production of its purpose-built driverless vehicle, CEO Kyle Vogt said on Thursday in comments reported by the Detroit Free Press.

General Motors-backed Cruise unveiled the vehicle — called Origin — in early 2020, presenting the kind of driverless car that we all dreamed of when R&D in the sector kicked off years ago; a vehicle without a steering wheel and without pedals. A vehicle with passenger seats only.

AI Research Lab Imbue Nabs $200 Million For Speculative Bet To Build AI ‘Agents’

The startup, one of very few woman-led AI unicorns, has a $1 billion valuation and access to 10,000 Nvidia H100 GPUs, but its founders say it could be years away from revealing a product.

It was at a San Francisco party hosted by Greg Brockman nearly a decade ago — around the time the Stripe CTO would leave to co-found an AI research lab called OpenAI — that entrepreneurs Kanjun Qiu and Josh Albrecht met a crypto mogul named Jed McCaleb.

As Qiu and Albrecht launched two now-defunct startups, and McCaleb became a regular at The Archive, their group house for founders and AI researchers near Dolores Park, they talked periodically about launching their own AI lab. Several of their housemates had… More.

Imbue has a $1 billion valuation and access to 10,000 Nvidia H100 GPUs, but its founders Kanjun Qiu and Josh Albrecht say it could be years away from revealing a product.

This USC Professor is Developing an Artificial Brain

Alice Parker is working on how to mimic disorders such as schizophrenia.

People have expected great things from Alice Parker, who was raised in a family of distinguished scientists and engineers. And Parker, emerita professor of electrical and computer engineering at the University of Southern California has delivered. She helped develop high-level (behavioral) synthesis, an automated computer design process that assists with the transformation of a behavioral description of hardware into a model of its logic and memory circuits.

Her father, a chemist, was on the team that first synthesized vitamin B1 at pharmaceutical company Merck in New Jersey. In 1941 her uncle Edward Wenk Jr., was… More.

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