Scientific Research Publishing

KAN-Transformer Fusion with Mixture of Experts for Temporal Imputation of Spatiotemporal Air Pollution Data ()

The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...

Figuring out why AIs get flummoxed by some games

While beating an AI at a board game may seem relatively trivial, it can help us identify failure modes of the AI, or ways in ...
Frontiers

Implementing physics-informed neural networks with deep learning for differential equations

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...
Frontiers

Enhancing structure-based virtual screening of MDM2–p53 inhibitors: a benchmark of machine learning vs. traditional docking scoring functions

The interaction between p53 and MDM2 represents a key therapeutic target in several cancers where MDM2 overexpression suppresses p53 activity. Despite extensive research, the discovery of potent and ...
IEEE

Learning Constrained Parametric Differentiable Predictive Control Policies With Guarantees

Abstract: We present differentiable predictive control (DPC), a method for offline learning of constrained neural control policies for nonlinear dynamical systems with performance guarantees. We show ...
Microsoft

LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data

Neural operators, as a powerful approximation to the non-linear operators between infinite-dimensional function spaces, have proved to be promising in accelerating the solution of partial differential ...
The New York Times

A.I.-Driven Education: Founded in Texas and Coming to a School Near You

At Austin’s Alpha School, students spend just two hours a day on academics, led by artificial intelligence tools. New Alpha schools are set to open in about a dozen cities this fall. Alpha School, ...
Scientific Research Publishing

Hammad, M.M. (2024) Deep Learning Activation Functions: Fixed-Shape, Parametric, Adaptive, Stochastic, Miscellaneous, Non-Standard, Ensemble. arXiv:2407.11090.

ABSTRACT: Neuroleptic Malignant Syndrome (NMS) and severe anticholinergic adverse drug reactions (ADRs) are rare but life-threatening complications associated with antipsychotic pharmacotherapy. These ...