Courting enterprise AI developers, a new San Francisco-based company has unveiled a machine learning debugging and visualization platform. The company, Weights & Biases, says its flagship platform is ...

Google Director of Research and renowned artificial intelligence (AI) expert Peter Norvig, presented an entirely different side of AI and machine learning at the EmTech Digital conference. He compared ...

Debugging machine learning (ML) models isn’t a walk in the woods. Just ask the data scientists and engineers at Uber, some of whom have the unenviable task of digging into algorithms to diagnose the ...

Development of a modern semiconductor requires running many electronic design automation (EDA) tools many times over the course of the project. Every stage, from architectural exploration and design ...

Has anyone managed to do this yet?<BR><BR>I have some assemblies I would liek to debug (Sharepoint WebParts if it matters).<BR><BR>They are not runnable on my local box, the development box is a w2k3 ...

Regression failure debug is usually a manual process wherein verification engineers debug hundreds, if not thousands of failing tests. Machine learning (ML) technologies have enabled an automated ...

Debugging code running on multiprocessor computing systems, and, in particular, parallel code on multicore devices, is an old computing problem that has reached a certain prominence and urgency ...