TL;DR Agentic lead generation structures replace legacy scraping workflows with automated intent-tracking and continuous ...

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia ...

Valve’s Steam Machine may not be the most powerful gaming PC, but its fixed hardware target and SteamOS push could encourage ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.

LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...

The latest release combines faster simulation, expanded AI assistance, smarter workflows and trusted machine-level accuracy, ...

This buzzy sleep system’s temperature regulation is transformative, but the privacy trade-offs and subscription costs are ...

Abstract: There is an ever-growing need for optimizing efficient nano and quantum communication systems and this demand calls for more advanced optimization techniques than those that have been around ...

Kimi K2.7-Code claims 30% fewer thinking tokens and a drop-in API swap path, but independent benchmarks show kernel regressions and no DeepSWE submission.

Abstract: Compiler is a tool that converts the high-level language into assembly code after enabling relevant optimizations. The automatic selection of suitable optimizations from an ample ...

Recursive self-improvement AI now has a co-evolving evaluator: a Cambridge and NVIDIA preprint introduces the Red Queen Gödel ...

The next wave of robotics depends on unifying code and hardware—embedding AI directly into the deterministic systems that ...