Abstract: In nonlinear system identification, Volterra kernel estimation based on regularized least squares can be performed by taking a Bayesian approach. In this framework, covariance structures ...

Bridging the technical divide in biological engineering Co-founders Tristan Bepler and Tim Lu developed the platform to ...

Abstract: Distributed denial of service (DDoS) attacks threaten the reliability of consumer IoT-based healthcare systems. However, traditional DDoS detection methods often struggle with feature ...

Un-0 is an image-generation model built on Kuramoto dynamics: it generates an image by integrating the phase dynamics of a population of coupled oscillators — no diffusion schedule, no adversary, no ...

Google DeepMind's new report maps four pathways from AGI to artificial superintelligence. Here's how scaling, paradigm shifts ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

The premise is straightforward — we are awash in biological data. The rapid growth of multiomics datasets (genomics, transcriptomics, proteomics, metabolomics, and radiomics) together with ...

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The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

As AI models move from design to production, mining engineers face a double-faceted challenge: delivering real-time performance on embedded devices with ...