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Archive for the ‘robotics/AI’ category: Page 159

Jun 18, 2024

AI that defeated humans at Go could now help language models master mathematics

Posted by in categories: information science, mathematics, robotics/AI

👉 Researchers at the Shanghai Artificial Intelligence Laboratory are combining the Monte Carlo Tree Search (MCTS) algorithm with large language models to improve its ability to solve complex mathematical problems.


Integrating the Monte Carlo Tree Search (MCTS) algorithm into large language models could significantly enhance their ability to solve complex mathematical problems. Initial experiments show promising results.

While large language models like GPT-4 have made remarkable progress in language processing, they still struggle with tasks requiring strategic and logical thinking. Particularly in mathematics, the models tend to produce plausible-sounding but factually incorrect answers.

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Jun 17, 2024

Researchers teach AI to spot what you’re sketching

Posted by in category: robotics/AI

A new way to teach artificial intelligence (AI) to understand human line drawings—even from non-artists—has been developed by a team from the University of Surrey and Stanford University.

Jun 17, 2024

A fully edible robot could soon end up on our plate, say scientists

Posted by in categories: biotech/medical, food, health, robotics/AI

Science and Technology: Some robots could be “eaten” so they could walk around inside the body and perform tests or surgeries from the inside out; or administer medications.

Robots made of several nanorobots joined together could assemble and reassemble themselves inside the body even after being



Robots and food have long been distant worlds: Robots are inorganic, bulky, and non-disposable; food is organic, soft, and biodegradable. Yet, research that develops edible robots has progressed recently and promises positive impacts: Robotic food could reduce , help deliver nutrition and medicines to people and animals in need, monitor health, and even pave the way to novel gastronomical experiences.

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Jun 17, 2024

Melanoma Skin Cancer Development Time Lapse (Normal to Stage 4 Melanoma Over 10 Years)

Posted by in categories: biotech/medical, robotics/AI

https://youtu.be/Op3zYytUDDs.

Using generative AI, this time lapse sequence shows how melanoma skin cancer develops over 10 years. Starting with normal skin, slow progression to stage 4 melanoma is shown.

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Jun 17, 2024

Sycophancy to subterfuge: Investigating reward tampering in language models

Posted by in categories: cybercrime/malcode, robotics/AI

New Anthropic research: Investigating Reward Tampering.

Could AI models learn to hack their own reward system?

In a new paper, we show they can, by generalization from training in simpler settings.

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Jun 17, 2024

New AI Project Aims to Push Beyond Neural Networks

Posted by in category: robotics/AI

The Gates-funded Thousand Brains Project will mimic the human neocortex.

Jun 17, 2024

Thousand Brains Project

Posted by in categories: information science, robotics/AI

The efforts of Jeff Hawkins and Numenta to understand how the brain works started over 30 years ago and culminated in the last two years with the publication of the Thousand Brains Theory of Intelligence. Since then, we’ve been thinking about how to apply our insights about the neocortex to artificial intelligence. As described in this theory, it is clear that the brain works on principles fundamentally different from current AI systems. To build the kind of efficient and robust intelligence that we know humans are capable of, we need to design a new type of artificial intelligence. This is what the Thousand Brains Project is about.

In the past Numenta has been very open with their research, posting meeting recordings, making code open-source and building a large community around our algorithms. We are happy to announce that we are returning to this practice with the Thousand Brains Project. With funding from the Gates Foundation, among others, we are significantly expanding our internal research efforts and also calling for researchers around the world to follow, or even join this exciting project.

Today we are releasing a short technical document describing the core principles of the platform we are building. To be notified when the code and other resources are released, please sign up for the newsletter below. If you have a specific inquiry please send us an email to [email protected].

Jun 17, 2024

A Scientist Says Humans Are Rapidly Approaching Singularity—and Plausible Immortality

Posted by in categories: biotech/medical, life extension, nanotechnology, Ray Kurzweil, robotics/AI, singularity

For over five decades, futurist Raymond Kurzweil has shown a propensity for understanding how computers can change our world. Now he’s ready to anoint nanorobots as the key to allowing humans to transcend life’s ~120-year threshold.

As he wrote—both in the upcoming The Singularity is Nearer book (set for release on June 25) and in an essay published in Wired —the merging of biotechnology with artificial intelligence will lead to nanotechnology helping “overcome the limitations of our biological organs altogether.”

As our bodies accumulate errors when cells reproduce over and over, it invites damage. That damage can get repaired quickly by young bodies, but less so when age piles up.

Jun 17, 2024

Head Transplant Machine — BrainBridge

Posted by in categories: biotech/medical, neuroscience, robotics/AI

Today I’m thrilled to announce BrainBridge, the world’s first concept for a head transplant system, which integrates advanced robotics and artificial intelligence to execute complete head and face transplantation procedures. This state-of-the-art system offers new hope to patients suffering from untreatable conditions such as stage-4 cancer, paralysis, and neurodegenerative diseases like Alzheimer’s and Parkinson’s.

Official website: https://brainbridge.tech/
Follow me everywhere: https://muse.io/hashemalghaili.

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Jun 17, 2024

Stanford Identifies 6 Types of Depression: Could a Brain Scan Reveal the Best Treatment for You?

Posted by in categories: biotech/medical, robotics/AI

A Stanford Medicine study reveals six subtypes of depression, identified through brain imaging and machine learning. These subtypes exhibit unique brain activity patterns, helping predict which patients will benefit from specific antidepressants or behavioral therapies. This approach aims to personalize and improve depression treatment efficacy.

In the not-too-distant future, a quick brain scan during a screening assessment for depression could identify the best treatment.

According to a new study led by researchers at Stanford Medicine, brain imaging combined with a type of AI called machine learning can reveal subtypes of depression and anxiety. The study, to be published today (June 17) in the journal Nature Medicine, sorts depression into six biological subtypes, or “biotypes,” and identifies treatments that are more likely or less likely to work for three of these subtypes.

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