Abstract: Ptychographic imaging confronts inherent challenges in applying deep learning for phase retrieval from diffraction patterns. Conventional neural architectures, both convolutional neural ...

On June 25, 2021, Nauru informed the Council of International Seabed Authority that its sponsored entity Nauru Ocean Resources Inc. intended to apply for approval of a plan of work for exploitation in ...

TPUv7 offers a viable alternative to the GPU-centric AI stack has already arrived — one with real implications for the economics and architecture of frontier-scale training.

Consistent dataset loading, augmentation, and sampling-and-grouping modules Shared training, evaluation, and logging utilities Plug-and-play support for different model architectures (PointNetLite, ...

Training deep learning models on petabyte-scale Earth observation (EO) data requires separating compute resources from data storage. However, standard PyTorch data loaders cannot keep modern GPUs ...

Abstract: Model-free deep reinforcement learning has emerged as a promising method for addressing the scheduling challenges in integrated energy systems. However, uncertainty in system states ...

Framework is back with the next generation of their repairable and upgradeable laptop, and Elijah's ready to check out its modular 5070 to see if it's worth upgrading your last-gen Framework 16 or ...

LightX2V H100 8 cards + no cfg 0.39s/it 1.9x LightX2V 4090D 8 cards + cfg 4.75s/it 1x LightX2V 4090D 8 cards + no cfg 3.13s/it 1.5x ...

With the advent of AI-powered protein design tools, protein-based therapeutics may no longer be constrained by the limits imposed by natural selection.