One-off tests don’t measure AI’s true impact. We’re better off shifting to more human-centered, context-specific methods.

Discover how the AutoResearch framework can automate your machine learning workflows and drastically reduce manual AI training time.

Update: Anthropic now reports both issues as resolved. Claude may have climbed up 40+ spots in the App Store this year, but the Anthropic’s AI chatbot is currently down. No, it’s not just you. Claude ...

The “Loop” feature in Cloud Code offers a focused solution for automating short-term, recurring tasks within a three-day timeframe. As highlighted by Nate Herk | AI Automation, this feature combines ...

Reference implementation of high-performance PyTorch, CUDA, and Triton workloads for NVIDIA Blackwell platforms. The repository packages 20 focused chapters, advanced labs, and the shared benchmarking ...

One eye on AI: How much of the technology should a seventh grader be using and understanding? (GeekWire Photo / Kurt Schlosser) I recently asked my 13-year-old daughter, a Seattle Public Schools ...

Abstract: Pre-trained code models are essential for various code intelligence tasks. Yet, their effectiveness is heavily influenced by the quality of the pre-training dataset, particularly ...

Abstract: Source code review plays a critical role in ensuring software quality by identifying bugs early in the development process. Although recent studies have explored the use of large language ...