Modelled on the neural control systems of animals, a new layered control framework enables legged robots to navigate complex ...

A new study published in Engineering introduces a neural-network-based switching output regulation controller (NN-SORC) for high-speed ...

Spiking Neural Networks (SNNs) represent the "third generation" of neural models, capturing the discrete, asynchronous, and energy-efficient nature of ...

Many "AI experts" have sprung up in the machine learning space since the advent of ChatGPT and other advanced generative AI constructs late last year, but Dr. James McCaffrey of Microsoft Research is ...

Researchers in the Department of Theoretical Physics at Tata Institute of Fundamental Research (TIFR), Mumbai, have discovered that instead of manipulating every component or modifying interactions in ...

Abstract: Strategic behavior in complex systems—such as digital platforms or autonomous agent networks—is shaped by how information is collected, shared, and used in decision-making. In this talk, I ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...