This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
When OpenAI unveiled its first open-weight models in years this August, it wasn’t just tech companies that were paying attention. The release also excited US military and defense contractors, which ...
Abstract: The path tracking performance of autonomous vehicles degrades due to model uncertainties and external disturbances. Tube-based Model Predictive Control (MPC) has been regarded as an ...
On Monday, Anthropic launched a new frontier model called Claude Sonnet 4.5, which it claims offers state-of-the-art performance on coding benchmarks. The company says Claude Sonnet 4.5 is capable of ...
The power of AI models has long been correlated with their size, with models growing to hundreds of billions or trillions of parameters. But very large models come with obvious trade-offs for ...
Stochastic oscillator measures stock momentum, aiding buy or sell decisions. It ranges 0-100; over 80 suggests overbought, below 20 indicates oversold. Use alongside other indicators to enhance ...
Google's DeepMind AI research team has unveiled a new open source AI model today, Gemma 3 270M. As its name would suggest, this is a 270-million-parameter model — far smaller than the 70 billion or ...
Nvidia on Monday unveiled a set of new world AI models, libraries, and other infrastructure for robotics developers, most notable of which is Cosmos Reason, a 7-billion-parameter “reasoning” vision ...
Based in San Francisco and London, Prima Mente is building AI-native infrastructure for molecular biology and neurodegenerative disease research. Its models integrate genomic, epigenomic, and ...
Abstract: For solving the problem of building climate system uncertainty affected by spatio-temporal variables, an event-triggered multi-kernel learning-based stochastic model predictive control ...
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