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 ...
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 ...
TEL AVIV, Israel--(BUSINESS WIRE)--Lightrun, the leader in IDE-native observability, today announced support for the Python programming language and its ecosystem of deep learning and data science ...
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 ...
Over the years, system-on-chip (SoC) design sizes have crossed the billion-gate mark. Higher complexity has been introduced within semiconductor designs to deliver desired functionality. The number of ...
On various occasions, I’ve received inquiries about how to install and start using WinDbg. For this reason, in this post, I’m going to show you how to configure an environment with WinDbg and virtual ...
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 ...
Debugging code running on multiprocessor computing systems–and, in particular, parallel code on multicore devices–is an old problem that has achieved new prominence because of the profound ...
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