Lifeboat Foundation

Google Deepmind says that a new artificial intelligence system has made a major breakthrough in one of the most difficult tests for AI.

The company says that it has created a new AI system that can solve geometry problems at the level of the very top high-school students.

Geometry is one of the oldest branches of mathematics, but has proven particularly difficult for AI systems to work with. It has been difficult to train them because of a lack of data, and succeeding requires building a system that can take on difficult logical challenges.

See why new discoveries about water on Mars and water on the Moon are great news for the future of space settlement!

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Continue reading “More Mars and Moon Water Found” »

Japan’s Moon Snipper Landed on the Moon making Japan the fifth nation to accomplish a lunar landing and Astrobiotic’s Peregrine lunar lander reenters Earth’s atmosphere.

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Continue reading “Japan Lands on the Moon Peregrine Reenters Earth’s Atmosphere” »

Eno, the career-spanning documentary about Brian Eno that premieres at the Sundance Film Festival, is a bracing dive into the brain of one of the most transformative musicians, producers and sound pioneers of the past half century.

‘Eno’ uses generative AI to create an always-changing, but compelling story about musician and producer Brian Eno.

A genome-wide association study in 293,723 individuals identifies 74 genetic variants associated with educational attainment, which, although only explaining a small proportion of the variation in educational attainment, highlights candidate genes and pathways for further study.

Its performance matches the smartest high school mathematicians and is much stronger than the previous state-of-the-art system.

Google DeepMind has created an AI system that can solve complex geometry problems.

(Bloomberg) — Google DeepMind, Alphabet Inc.’s research division, said it has taken a “crucial step” towards making artificial intelligence as capable as humans. It involves solving high-school math problems. Most Read from BloombergWall Street Dials Back Fed Wagers After Solid Data: Markets WrapMusk Pressures Tesla’s Board for Another Massive Stock AwardChina’s Economic Growth Disappoints, Fueling Stimulus CallsChina Population Extends Record Drop on Covid Deaths, Low BirthsApple to Allow Outsi.

In Neuromorphic Computing Part 2, we dive deeper into mapping neuromorphic concepts into chips built from silicon. With the state of modern neuroscience and chip design, the tools the industry is working with we’re working with are simply too different from biology. Mike Davies, Senior Principal Engineer and Director of Intel’s Neuromorphic Computing Lab, explains the process and challenge of creating a chip that can replicate some of the form and functions in biological neural networks.

Mike’s leadership in this specialized field allows him to share the latest insights from the promising future in neuromorphic computing here at Intel. Let’s explore nature’s circuit design of over a billion years of evolution and today’s CMOS semiconductor manufacturing technology supporting incredible computing efficiency, speed and intelligence.

Continue reading “Architecture All Access: Neuromorphic Computing Part 2” »

Computer design has always been inspired by biology, especially the brain. In this episode of Architecture All Access — Mike Davies, Senior Principal Engineer and Director of Intel’s Neuromorphic Computing Lab — explains the relationship of Neuromorphic Computing and understanding the principals of brain computations at the circuit level that are enabling next-generation intelligent devices and autonomous systems.

Mike’s leadership in this specialized field allows him to share the latest insights from the promising future in neuromorphic computing here at Intel. Discover the history and influence of the secrets that nature has evolved over a billion years supporting incredible computing efficiency, speed and intelligence.

Continue reading “Architecture All Access: Neuromorphic Computing Part 1” »