AI researchers at Stanford and the University of Washington trained an AI reasoning model, called s1, for under $50 in cloud compute credits, showcasing cost-effective AI development. The model was successfully trained to perform reasoning tasks, demonstrating the potential for affordable AI research and development. This achievement highlights the accessibility of AI technology and its potential for widespread adoption.
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Could this startup’s compact nuclear reactors revolutionize cancer detection?
Astral Systems, a startup from Bristol, UK, aims to increase production of nuclear isotopes for detecting cancer by utilizing multistate fusion (MSF) technology in compact reactors, receiving over £4.5M investment from Speedinvest and Playfair. Leveraging NASA research, Astral's platform could lead to applications in nuclear energy, space exploration, and industrial sectors, reducing reliance on centralized production sites and offering improved performance. With three commercial fusion facilities already established and revenue generated, Astral is positioned to...
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