An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Qubic attempted a 51% attack on Monero while training its AI model AIGarth. It's now posting on social media—and the public ...

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling laws, which describe how the properties of a system change with size and scale ...

While ChatGPT is easy to use on the surface, many complex computations that are customized to each user are happening behind ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...

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Abstract: Deep neural networks are used across a wide range of applications. Custom hardware optimizations for this field offer significant performance and power advantages compared to general-purpose ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric ...