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AI challenges and opportunities for modern radio broadcasting

Radio has always adapted to new technology—from AM to FM, from satellite to streaming. Now, artificial intelligence (AI) is reshaping ...
IEEE

Practical Nonlinear Model Predictive Control With Kolmogorov–Arnold Network Models

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Science Daily

Brain inspired machines are better at math than expected

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...
Tech Xplore

'Dynamic plastic delocalization' can slow metal alloy cracking, engineers find

Metal alloys crack and fail through a mechanism called "fatigue" when repeatedly loaded and strained. While it is well known how to design alloys to withstand static loads and pressures, it is very ...

OpenAI's new Spark model codes 15x faster than GPT-5.3-Codex - but there's a catch

OpenAI's new GPT-5.3-Codex-Spark promises ultra-fast, conversational AI coding, if you can tolerate a few trade-offs.
IEEE

Dynamic Event-Triggered Model-Free Reinforcement Learning for Cooperative Control of Multiagent Systems

In this article, a novel model-free dynamic event-triggered adaptive learning control scheme is developed for continuous-time linear multiagent systems. This control scheme is different from ...