New "GIM" method tops MIB global leaderboard, offering the industry a scalable way to inspect and improve billion-parameter models.COPENHAGEN, Denmark and ...
In the coming year, the native web GmbH will offer a comprehensive webinar series on the topic of AI, from mathematical ...
South Florida awoke from a Thanksgiving Day food stupor on Black Friday to cooler-than-expected temperatures as a cold front pushed through with more oomph than initially forecast. The low ...
A python implementation of Gradient Frequency Neural Networks or GrFNNs (pronounced Griffins), introduced by Large et. al.. Dr. Large released a Matlab toolbox with his implementation (see here).
Introduction Prescribing high-dose antipsychotics is typically reserved for individuals with treatment-resistant severe ...
Foundations of Agentic AI for Retail: Concepts, Technologies, and Architectures for Autonomous Retail Systems by Dr. Fatih Nayebi. Explore the future of retail powered by autonomous AI systems.
Abstract: This paper introduces a gradient-based approach for reducing the dimensionality of acoustic features, tailored for supervised deep learning models used in speech emotion recognition (SER).
This paper presents a reinforcement learning–based adaptive gain tuning strategy for a Terminal Super-Twisting Sliding Mode Controller (TST-SMC) applied to autonomous vehicle lane-change maneuvers.
This valuable study provides solid evidence for deficits in aversive taste learning and taste coding in a mouse model of autism spectrum disorders. Specifically, the authors found that Shank3 knockout ...
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