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A new preprint reports that optimized lightweight hybrid models classified oral-cancer images with 83.2% average sensitivity and 86.0% average specificity on a held-out test set, suggesting a possible edge-AI approach for primary-care triage.
The South China Morning Post reports that residents in Malaysia and the Philippines have opposed proposed data centres intended to support cloud computing and artificial intelligence. Both proposals were subsequently reported as withdrawn, although the source does not independently confirm the final status of…
Vijesti reports that the UK and Ukraine signed an agreement under which Britain would access data from Ukraine’s Avengers platform to train AI models for protecting sensitive sites.
A new arXiv preprint describes HIRA, a retrieval-based AI classification system that routes uncertain documents to a local language model or human reviewer. The authors report higher Macro-F1 scores while reducing the number of documents requiring human correction and the number of language-model calls.
A new arXiv preprint proposes training GUI agents with trajectory-level feedback, rewarding concise successful executions and distinguishing failures by how they diverge from successful behavior.
The University of Chicago will make its social science Core classes technology-free beginning this fall, according to The College Fix, citing a divisional memo obtained by The Chicago Maroon.
A new preprint introduces a benchmark for measuring whether large language models can deliberately control their internal activation patterns. The authors report that most tested models could alter the direction and magnitude of residual-stream activations through natural-language instructions, sometimes evading…
An arXiv preprint introduces CompPO, a reinforcement-learning method that uses a language model’s own attention patterns to assign training credit across tokens. The authors report higher held-out accuracy and greater stability than tuned GRPO in experiments on Qwen3-4B and Llama-3.1-8B-Instruct.
Wowtale reports that MachineFlow, an AI coding startup spun out through LG Electronics and Bluepoint Partners’ STUDIO341 program, has raised seed funding to develop a multi-agent software development platform.
A new benchmark built from live scientific-agent requests finds that no tested model consistently met the study’s acceptance threshold. The paper reports stronger communication than scientific accuracy, with overclaiming the most common failure tag.
A new arXiv preprint presents ATHENA, a multi-agent system that reuses architecture knowledge across hospitals when searching for Transformer designs for electronic-health-record prediction. The authors report that it matched or outperformed four neural-architecture-search baselines in 9 of 12 hospital-task…
36Kr reports that Claude Code’s workplace adoption reached 39% among surveyed professional developers in May–July 2026, compared with 21% for GitHub Copilot, while 90% said they used AI coding agents at least weekly.
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