We break down everything we know about 1X’s new humanoid robot designed for homes, the NEO Beta.
Category: robotics/AI – Page 76
Another rising player is Windsurf, an AI coding assistant introduced by Codeium. Windsurf takes a different route by positioning itself as the “first agent-powered IDE” focused on keeping developers in flow. While Copilot extends existing workflows and Cursor offers an all-in-one editor, Windsurf emphasizes versatility and enterprise readiness. It can act as a plugin across multiple development environments, from traditional IDEs to lightweight editors, ensuring teams can adopt it without overhauling their toolchains.
The AI coding assistant landscape is evolving quickly, and it’s clear this is just the beginning. GitHub Copilot’s head start and deep integration into the developer ecosystem give it a strong position. Still, the energetic rise of competitors like Cursor and Windsurf shows that there is ample room for innovation.
The code genie is out of the bottle, and it is now up to CXOs and technology strategists to integrate these powerful new assistants into their innovation roadmap.
Scientists in Japan have now developed a groundbreaking spintronic device that allows for electrical control of magnetic states, drastically reducing power consumption. This breakthrough could revolutionize AI hardware by making chips far more energy-efficient, mirroring the way neural networks function.
Spintronic Devices: A Game-Changer for AI Hardware
AI is rapidly transforming industries, but as these technologies evolve, so does their demand for power. To sustain further advancements, AI chips must become more energy efficient.
Science Fiction…for now.
I’m not a natural “doomsayer.” But unfortunately, part of my job as an AI safety researcher is to think about the more troubling scenarios.
I’m like a mechanic scrambling last-minute checks before Apollo 13 takes off. If you ask for my take on the situation, I won’t comment on the quality of the in-flight entertainment, or describe how beautiful the stars will appear from space.
I will tell you what could go wrong. That is what I intend to do in this story.
Here we report on the collaboration of Open AI and Retro Biotech using GPT-4b to investigate ways to improve the efficacy of the Yamanaka factors in reprogramming cells.
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Health claims Disclosure: Information provided on this video is not a substitute for direct, individual medical treatment or advice. Please consult with your doctor first. Products or services mentioned in this video are not a recommendation.
Audio Copyright Disclaimer.
Please note that we have full authorization to the music that we used in our videos as they were created using the service WeVideo which provides the rights to the music. The rights are detailed in the terms of use that can be reviewed here https://www.wevideo.com/terms-of-use and any following inquiries should be addressed to [email protected].
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Which future technology is your favorite?
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Ilya Sutskever’s Safe Superintelligence in talks with investors to raise funding at $20 Billion valuation, up from $5 billion last September.
An AI system developed by Google DeepMind, Google’s leading AI research lab, appears to have surpassed the average gold medalist in solving geometry problems in an international mathematics competition.
The system, called AlphaGeometry2, is an improved version of a system, AlphaGeometry, that DeepMind released last January. In a newly published study, the DeepMind researchers behind AlphaGeometry2 claim their AI can solve 84% of all geometry problems over the last 25 years in the International Mathematical Olympiad (IMO), a math contest for high school students.
Why does DeepMind care about a high-school-level math competition? Well, the lab thinks the key to more capable AI might lie in discovering new ways to solve challenging geometry problems — specifically Euclidean geometry problems.
Ben Goertzel, CEO of ASI Alliance and SingularityNET, “A Path to Beneficial Superintelligence”: shares his wisdom into how Decentralized AI efforts, like those driven by ASI Alliance, are paving the way for a future where superintelligence benefits everyone, not just the few.
By creating gene editors not found in nature, or optimizing existing editors, AI can improve the accuracy, effectiveness, and accessibility of gene editing.