By studying large language models as if they were living things instead of computer programs, scientists are discovering some ...
Matt Kalil’s ‘Sports Illustrated’ swimsuit model ex-wife, Haley Kalil, sizzles in a ‘daring’ ‘top’ that’s made entirely of ...
The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...
Following the Sony Honda Mobility Afeela 1 electric sedan/hatchback, SHM just unveiled a surprise second car in its EV ...
1910, the only AI-native biotech pioneering small and large molecule therapeutics discovery, today announced the publication of PEGASUS (TM), a multimodal AI model that achieves state-of-the-art ...
It achieves AI-driven generative design of the first permeable macrocyclic peptide with more than two polar or ionizable fragments. -- Surrogate assays are a breakthrough for AI model training. 1910 ...
Abstract: This article considers the Bayesian inversion of subsurface models from seismic observations, a well-known high-dimensional and ill-posed problem. A reduction of the parameters’ space is ...
Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...
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