Now, AI coding tools are raising new issues with how that “clean room” rewrite process plays out both legally, ethically, and practically. Dan Blanchard took over maintenance of the repository in 2012 ...
Researchers have found that LLM-driven bug finding is not a drop-in replacement for mature static analysis pipelines. Studies comparing AI coding agents to human developers show that while AI can be ...
An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...
Abstract: We present a distributed source-seeking and flocking control method for networked multi-agent systems with non-holonomic constraints. Based solely on identical on-board sensor systems, which ...
JAKARTA – Recently, the National Nutrition Agency (BGN) head Dadan Hindayana stirred up media attention with the claim that the free nutritious meal program’s food poisoning rate was “only 0.5 percent ...
Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...
Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...
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