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Antares achieved initial criticality of its Mark-0 microreactor at Idaho National Laboratory, marking the first private advanced reactor to reach this milestone under the DOE Reactor Pilot Program.
This book develops an effective theory for deep neural networks, showing that their predictions are nearly-Gaussian and governed by the depth-to-width ratio, and introduces representation group flow to analyze signal propagation and learning dynamics.
A small modular nuclear reactor using TRISO fuel pellets has reached criticality in its first test, validating the company's modeling and safety data.
This article explores the deep connections between physics and deep learning, analyzes the isomorphism of phenomena such as Scaling Law and emergence with concepts like critical scaling laws and phase transitions in physics, and reviews the current status and prospects of applying physical methodologies in AI.