How is there still room for these firms to build out facilities?
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“They’re Handing Supercomputer Power to Everyone”: Nexus Ignites Fierce Debate as Georgia Tech’s 400 Quadrillion-Operation AI Revolution Promises Unmatched Access for US Scientists
IN A NUTSHELL 🚀 Nexus aims to democratize access to advanced computing with its groundbreaking capabilities. 🔬 The supercomputer is set to revolutionize scientific research with over 400 quadrillion operations per second. 🌍 Nexus’s accessibility philosophy ensures researchers nationwide can utilize its powerful AI tools. 🔗 Georgia Tech collaborates with the University of Illinois for
Scientists Discover the Brain’s “Reset Button” That Separates Your Memories
Although life unfolds in a continuous flow, our memories don’t capture it that way. We don’t recall the past as one seamless timeline but rather as a sequence of distinct, meaningful moments—much like how sentences are broken up with grammar and punctuation. This mental structure gives our experiences clarity and helps us understand both what happened and when it occurred.
The brain must devote a lot of space to this herculean task, right?
Wrong! It turns out that a tiny but mighty region pulls far more than its weight.
First 3D-Printed Home Made Primarily From Soil is Built in Japan–Ditching Unsustainable Concrete
Collaborating with robotics engineers and Italian 3D printer manufacturers, a Japanese company is building “homes of earth” made primarily from soil.
Utilizing AI technology from design through construction, Lib Work, Ltd. completed their first 3D-printed earth home in Yamaga, Kumamoto on July 22, calling their creative process “uncharted territory where tradition and convention offered no guide”
While the automotive industry has undergone rapid transformation through technological advances, the housing industry has seen virtually no fundamental innovation in construction methods, materials, or structures for over 50 years.
Neural Networks Go Nano: Brain-Inspired Learning Takes Flight
For the first time, a physical neural network has successfully been shown to learn and remember ‘on the fly’, in a way inspired by and similar to how the brain’s neurons work.
The result opens a pathway for developing efficient and low-energy machine intelligence for more complex, real-world learning and memory tasks.
Published today (November 1) in Nature Communications, the research is a collaboration between scientists at the University of Sydney and the University of California at Los Angeles (UCLA).