New "GIM" method tops MIB global leaderboard, offering the industry a scalable way to inspect and improve billion-parameter models.COPENHAGEN, Denmark and ...
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 ...
In the coming year, the native web GmbH will offer a comprehensive webinar series on the topic of AI, from mathematical ...
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).
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.
Background Western diet and associated production of secondary bile acids (BAs) have been linked to the development of ...
The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...
Get article recommendations from ACS based on references in your Mendeley library. Pair your accounts.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback