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Category: robotics/AI – Page 264

Apple M4 Max chip

Learn how to build or just use Alex Ziskind’s LLM Hardware Calculator.

Understand what hardware you need for the model you want to run locally.

This M4 Max 16 MacBook Pro can handle some of the larger language models.

https://amzn.to/4kyog9V

Apple 2024 MacBook Pro Laptop with M4 Max, 14‑core CPU, 32‑core GPU: Built for Apple Intelligence, 16.2-inch Display, 36GB Unified Memory, 1TB SSD Storage; Silver with AppleCare+ (3 Years)https://m.media-amazon.com/images/I/51MOSiURIHL._AC_SX425_.jpg’:[425,425],’https://m.media-amazon.com/images/I/51MOSiURIHL._AC_SX522_.jpg’:[522,522],’https://m.media-amazon.com/images/I/51MOSiURIHL._AC_SX569_.jpg’:[569,569],’https://m.media-amazon.com/images/I/51MOSiURIHL._AC_SX385_.jpg’:[385,385],’https://m.media-amazon.com/images/I/51MOSiURIHL._AC_SX679_.jpg’:[679,679],’https://m.media-amazon.com/images/I/51MOSiURIHL._AC_SX466_.jpg’:[466,466],’https://m.media-amazon.com/images/I/51MOSiURIHL._AC_SX342_.jpg’:[342,342]}/

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Researchers create gel that can self-heal like human skin

We all encounter gels in daily life – from the soft, sticky substances you put in your hair, to the jelly-like components in various foodstuffs. While human skin shares gel-like characteristics, it has unique qualities that are very hard to replicate. It combines high stiffness with flexibility, and it has remarkable self-healing capabilities, often healing completely within 24 hours after injury.

Until now, artificial gels have either managed to replicate this high stiffness or natural skin’s self-healing properties, but not both. Now, a team of researchers from Aalto University and the University of Bayreuth are the first to develop a hydrogel with a unique structure that overcomes earlier limitations, opening the door to applications such as drug delivery, wound healing, soft robotics sensors and artificial skin.

In the breakthrough study, the researchers added exceptionally large and ultra-thin specific clay nanosheets to hydrogels, which are typically soft and squishy. The result is a highly ordered structure with densely entangled polymers between nanosheets, not only improving the mechanical properties of the hydrogel but also allowing the material to self-heal.

Magnetic microrobots remove blood clots from sheep iliac artery

Researchers at the TechMed Center of the University of Twente and Radboud University Medical Center have removed blood clots with wireless magnetic robots. This innovation promises to transform treatment for life-threatening vascular conditions like thrombosis.

Cardiovascular diseases such as thrombosis are a major global health challenge. Each year worldwide, 1 in 4 people die from conditions caused by blood clots. A blood clot blocks a blood vessel, preventing the blood from delivering oxygen to certain areas of the body.

Minimally invasive Traditional treatments struggle with clots in hard-to-reach areas. But magnetic microrobots bring hope to patients with otherwise inoperable clots. The screw-shaped robots can navigate through intricate vascular networks since they are operated wirelessly.

Scientists develop high-performance permanent magnet without expensive heavy rare earth elements

The Nano Materials Research Division at the Korea Institute of Materials Science (KIMS), led by Dr. Tae-Hoon Kim and Dr. Jung-Goo Lee has successfully developed a grain boundary diffusion process that enables the fabrication of high-performance permanent magnets without the use of expensive heavy rare earth elements. This pioneering technology marks the world’s first achievement in this field.

The findings are published in Acta Materialia.

Permanent magnets are key components in various high-value-added products, including electric vehicle (EV) motors and robots. However, conventional permanent magnet manufacturing processes have been heavily dependent on heavy rare earth elements, which are exclusively produced by China, leading to high resource dependency and .

“Incipient Ferroelectricity” Turns Field-Effect Transistors into Efficient Neuron-Like Devices

“‘Incipient ferroelectricity’ means there’s no stable ferroelectric order at room temperature,” lead author Dipanjan Sen explains of the property that the team investigated. “Instead, there are small, scattered clusters of polar domains. It’s a more flexible structure compared to traditional ferroelectric materials.”

Typically, the “relaxor” behavior of incipient ferroelectric materials at room temperature is a drawback, making their operation less predictable and more fluid — but the team’s breakthrough was to approach it as an advantage instead, showing how it could be of use in devices like neuromorphic processors that increase machine learning and artificial intelligence performance by processing information like the neurons in the human brain.

“To test this,” co-author Mayukh Das says, “we performed a classification task using a grid of three-by-three pixel images fed into three artificial neurons. The devices were able to classify each image into different categories. This learning method could eventually be used for image identification and classification or pattern recognition. Importantly, it works at room temperature, reducing energy costs. These devices function similarly to the nervous system, acting like neurons and creating a low-cost, efficient computing system that uses a lot less energy.”

How to Train LLMs to “Think” (o1 & DeepSeek-R1)

In September 2024, OpenAI released its o1 model, trained on large-scale reinforcement learning, giving it “advanced reasoning” capabilities. Unfortunately, the details of how they pulled this off were never shared publicly. Today, however, DeepSeek (an AI research lab) has replicated this reasoning behavior and published the full technical details of their approach. In this article, I will discuss the key ideas behind this innovation and describe how they work under the hood.

Finland to keep spent nuclear fuel in world’s 1st final repository

Finland is soon to become the first country in the world to attempt the burial of nuclear fuel waste in a geological tomb — where it is planned to be stored for the next 100,000 years.

The plan is to pack the spent nuclear fuel in watertight canisters and deposit them about 1312 feet (400 meters) below ground level in the forest of the southwest region of Finland.

Robots In Space: Cygnus — NOM4D — Illini

Watch the latest space experiment developed by the Fighting Illini!🚀🤖

Step into the future of space construction! Watch as University of Illinois researchers revolutionize how we build in space using advanced robotics and innovative composite materials. In this episode of Robots In Space, aerospace engineer Mike DiVerde breaks down the groundbreaking DARPA NOM4D program that’s sending experimental manufacturing technology to the International Space Station. Discover how the Fighting Illini are pioneering techniques that could transform space infrastructure construction, making it faster, cheaper, and more efficient than ever before. From Cygnus spacecraft operations to microgravity experiments, this video showcases cutting-edge aerospace engineering that’s pushing the boundaries of what’s possible in space.

#SpaceManufacturing #DARPANOM4D #SpaceRobotics #FightingIllini #AerospaceEngineering

Why OpenAI’s Sam Altman Is Smiling: ChatGPT Has Kicked Into A Higher Gear

In today’s AI news, ChatGPT just added 100 million users in two months, the fastest cohort adoption in two years, they said. As a result, we have increased our forecast for AI adoption in both consumer and enterprise, they added. OpenAI didn’t respond to a request for comment about what’s been driving this growth spurt. The Barclays analysts studying their growth suggested several reasons, though.

And, tech companies have been betting on virtual assistants for more than a decade, to little avail. But this new generation of AI was going to change things. But, the tech still doesn’t work. Chatbots may be fun to talk to and an occasionally useful replacement for Google, but truly game-changing virtual assistants are nowhere close to ready. And without them, the gadget revolution we were promised has utterly failed to materialize.

Meanwhile, AI company Sesame has released the base model that powers Maya, the impressively realistic voice assistant. The model, which is 1 billion parameters in size (“parameters” referring to individual components of the model), is under an Apache 2.0 license, meaning it can be used commercially with few restrictions. Called CSM-1B, the model generates “RVQ audio codes” from text and audio inputs.

S official forum, after producing approximately 750 to 800 lines of code, the AI assistant halted work and delivered a refusal message: “I cannot generate code for you, as that would be completing your work.” ‘ + In videos, can mislabeled dog paws ruin an AI model? IBM Fellow, Martin Keen explains how ground truth data ensures accurate AI predictions by powering supervised learning and training. Explore challenges like ambiguity and skewed data, and learn strategies to improve data labeling for better AI performance.

And, Harvey CEO Winston Weinberg explains why success in legal AI requires more than just model capabilities—it demands deep process expertise that doesn’t exist online. He shares how Harvey balances rapid product development with earning trust from law firms through hyper-personalized demos and deep industry expertise. He covers Harvey’s approach to product development—expanding specialized capabilities then collapsing them …

In further experimentation, Alex Ziskind compared running DeepSeek locally — various model sizes and quantizations on Apple Silicon M1, M2, M3, M4 Max MacBooks. Alex puts them all to the test and explains all the steps.

We close out with, Eric Simons is the founder and CEO of StackBlitz, the company behind Bolt—the #1 web-based AI coding agent and one of the fastest-growing products in history. After nearly shutting down, StackBlitz launched Bolt on Twitter and exploded from zero to $40 million ARR and 1 million monthly active users in about five months.

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