We spoke to David Klenerman, co-developer of sequencing by synthesis, to find out how his work heralded the next generation ...
The AI-based program AlphaFold predicts a protein's 3D structure with remarkable accuracy. However, it tends to reduce heterogeneous structures to a single dominant conformation, or shape, and ...
Abstract: Event-Driven vision sensing is a new way of sensing visual reality in a frame-free manner. This is, the vision sensor (camera) is not capturing a sequence of still frames, as in conventional ...
Abstract: Load forecasting is critical to the task of energy management in power systems, for example, balancing supply and demand and minimizing energy transaction costs. There are many approaches ...
This repo and docs are still a work in progress, but hopefully should be finished soon. If you are trying to run this code now or have other questions about it please contact ddray@email.unc.edu. This ...
TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...
PrimateAI is trained on a dataset of ~380,000 common missense variants from humans and six non-human primate species, using a semi-supervised benign vs unlabeled training regimen. The input to the ...
Researchers headed by a team at the Centre for Genomic Regulation, Barcelona Institute of Science and Technology and at the Wellcome Sanger Institute have developed an AI tool that they say has made a ...
The Fusion of Temporal Sequence with Scene Priori Information in Deep Learning Object Recognition ()
For some important object recognition applications such as intelligent robots and unmanned driving, images are collected on a consecutive basis and associated among themselves, besides, the scenes ...
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