Seattle-based Overland AI won a Marine Corps contract to produce more than a dozen autonomous ground vehicles, which the ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

A former Google employee says AI equity, job security concerns, and years of side projects convinced him to leave and build his own company.

Autonomous AI post-training reached frontier scale for the first time: NVIDIA researchers published a paper showing an AI ...

OpenAI's new Jalapeño inference chip promises faster performance, improved efficiency, and lower computing costs.

Abstract: Artificial neural networks (ANNs) have been widely applied in electricity price forecasts due to their nonlinear modeling capabilities. However, it is well known that in general, traditional ...

Abstract: Probabilistic forecasting provides complete probability information of renewable generation and load, which assists the diverse decision-making tasks in power systems under uncertainties.

This is a technique of "randomly re-sampling data from existing data while allowing duplicates." You can create new datasets of the same size as the original dataset many times. The most important ...

Ben Fielding is CEO and co-founder of Gensyn, the decentralized machine learning compute protocol. He holds a PhD in neural architecture search for deep learning and computer vision. Previously, he co ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Erik Steiger discusses the operational pain ...

In Vernor Vinge’s science fiction novel A Deepness in the Sky, one of the characters works as a software archaeologist, mining thousands of years of code and libraries to find the solutions to ...