WIRED spoke with Boris Cherny, head of Claude Code, about how the viral coding tool is changing the way Anthropic works.
Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.
Overview: LLMs help developers identify and fix complex code issues faster by automatically understanding the full project ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...
Sustained GitHub activity is one of the most objective indicators that a crypto project is actually shipping code and improving its protocol over time. Metrics such as commit frequency, contributor ...
Sustained GitHub activity is one of the most objective indicators that a crypto project is actually shipping code and improving its protocol over time. Metrics such as commit frequency, contributor ...
In addition to Claude Code, some of the biggest names in this space include OpenAI's Codex, GitHub Copilot, Replit, Lovable, and Windsurf, whose VP of product and marketing we interviewed for our vibe ...
Abstract: Exploiting sparsity is a key technique to reduce the computation and memory cost attributed to the ever-expanding size of DNN models. Prior sparse DNN accelerators largely exploit structured ...
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