Information theory and computation is the study and development of protocols and algorithms for solving problems and analysing information. This discipline usually breaks information down into ...

Molecular dynamics (MD) simulations are widely used for understanding atomic motion but require substantial computational time. In new research by Nam et al., a generative artificial intelligence ...

Abstract: Floating-point computing-in-memory (FP-CIM) has emerged as a promising approach to enhance the energy efficiency of cloud and edge artificial intelligence (AI) devices. However, recent ...

Crystal structure prediction (CSP) methods are of importance for pharmaceutical, electronic, agricultural, and energetic materials. Most CSPs are performed by minimizing lattice energies of ...

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I have a question about the point loss computation. In the code (https://github.com/yyfz/Pi3/blob/training/pi3/models/loss.py#L257C5-L319C20 ), you first normalize both the ground truth and predicted ...

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Michael Boyle is an experienced financial professional with more than 10 years working with financial planning, derivatives, equities, fixed income, project management, and analytics. Suzanne is a ...