Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...
NTN applies AI and machine learning to accelerate bearing design, cut analysis time and reduce engineering workload.
As SoC designs continue to evolve, the complexity of reset architectures has grown significantly. Traditionally, clock tree synthesis has been a major focus due to timing challenges, but now reset ...
Giving Structure to Language: Profluent’s AI Models Move toward Precise and Steerable Protein Design
The “ChatGPT moment” for biology proceeds to unfold as protein language models, or machine learning tools trained on large databases of protein sequences, work to decode the language of life with the ...
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