Communications of the ACM

The LLVM Compiler Infrastructure

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

When Faster Isn’t Greener: The Hidden Costs of LLM-Based Code Optimization

Abstract: Large Language Models (LLMs) are increasingly adopted to optimize source code, offering the promise of faster, more efficient programs without manual tuning. This capability is particularly ...
Tech Times

Recursive Self-Improvement Now Has a Co-Evolving Evaluator: Cambridge-NVIDIA Paper Raises the Stakes

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

Forget console wars. Steam Machine may help kill lazy PC gaming ports

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

Vericut 9.7 Delivers Performance Without Compromise for CNC Manufacturers

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

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...

New AI optimization framework beats Claude Code and Codex by 2.5x on the same compute budget

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

Centroiding Error Modeling and Code Optimization for Restored Star Images Using Coded Exposure in High-Dynamic Conditions

Abstract: Under high-dynamic conditions, star sensors often capture images with low signal-to-noise ratio (SNR). Image restoration can mitigate energy dispersion from star trailing, but it is ...