<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Bitware News</title><description>Scientific AI and medical ML — what the technology actually does. Primary sources, plain language, caveats.</description><link>https://news.bitwarelabs.com/</link><language>en-us</language><item><title>Cros: risk-constrained stopping for clinical diagnosis agents</title><link>https://news.bitwarelabs.com/posts/cros-risk-constrained-clinical-stopping/</link><guid isPermaLink="true">https://news.bitwarelabs.com/posts/cros-risk-constrained-clinical-stopping/</guid><description>A stopping layer that tries to decide when a sequential diagnosis agent should diagnose or defer — with finite-sample style tests, and an honest ‘exploratory, not confirmatory’ framing.</description><pubDate>Sun, 13 Sep 2026 00:00:00 GMT</pubDate><category>safety</category><category>medical</category><category>eval</category></item><item><title>GRIPNet: build the detector around how nodules actually look in CT</title><link>https://news.bitwarelabs.com/posts/gripnet-radial-nodule-detection/</link><guid isPermaLink="true">https://news.bitwarelabs.com/posts/gripnet-radial-nodule-detection/</guid><description>A medical imaging methods note: small pulmonary nodules show a Gaussian radial intensity prior; GRIPNet designs every module around that physics and reports strong mAP@0.5 on three public CT benchmarks.</description><pubDate>Sun, 13 Sep 2026 00:00:00 GMT</pubDate><category>medical</category><category>methods</category></item><item><title>Φ-Bench: can LLMs engineer the infrastructure that runs them?</title><link>https://news.bitwarelabs.com/posts/phi-bench-llm-infra-engineering/</link><guid isPermaLink="true">https://news.bitwarelabs.com/posts/phi-bench-llm-infra-engineering/</guid><description>An 85-task infra/eval benchmark spanning kernels, long-horizon repo work, and end-to-end optimization — topped by Claude Opus 5 at 36.53%, with a lot of headroom left.</description><pubDate>Sun, 13 Sep 2026 00:00:00 GMT</pubDate><category>infra</category><category>eval</category></item><item><title>Physical Law Ecology: count the mechanisms before fitting the equation</title><link>https://news.bitwarelabs.com/posts/physical-law-ecology-multi-mechanism/</link><guid isPermaLink="true">https://news.bitwarelabs.com/posts/physical-law-ecology-multi-mechanism/</guid><description>A scientific-discovery methods paper that treats ‘how many independent laws?’ as the zeroth step — then shows multi-law fits beating single-equation symbolic regression on engineering and galactic data.</description><pubDate>Sun, 13 Sep 2026 00:00:00 GMT</pubDate><category>methods</category></item><item><title>SIFTING: traceable LLM extraction for lung-cancer T-staging</title><link>https://news.bitwarelabs.com/posts/sifting-traceable-lung-cancer-staging/</link><guid isPermaLink="true">https://news.bitwarelabs.com/posts/sifting-traceable-lung-cancer-staging/</guid><description>Self-hosted Llama extracts structured T-stage from radiology reports with source-text links — 90% accuracy vs a four-expert reference on 130 reports.</description><pubDate>Sun, 13 Sep 2026 00:00:00 GMT</pubDate><category>medical</category><category>methods</category></item><item><title>TabBench-Bio: evaluating ML where biomedicine actually lives — wide tables, tiny n</title><link>https://news.bitwarelabs.com/posts/tabbench-bio-hdlss-tables/</link><guid isPermaLink="true">https://news.bitwarelabs.com/posts/tabbench-bio-hdlss-tables/</guid><description>A living eval suite of 43 biomedical HDLSS datasets across 28 feature×sample operating points — tabular foundation models lead at the reference cell, but logistic regression stays uncomfortably close.</description><pubDate>Sun, 13 Sep 2026 00:00:00 GMT</pubDate><category>eval</category><category>medical</category></item><item><title>Why this site exists</title><link>https://news.bitwarelabs.com/posts/welcome/</link><guid isPermaLink="true">https://news.bitwarelabs.com/posts/welcome/</guid><description>AI is more than a chat box on the web. Bitware News covers what the technology actually does — methods, medical ML, evaluation — with primary sources and caveats.</description><pubDate>Sun, 13 Sep 2026 00:00:00 GMT</pubDate><category>methods</category><category>eval</category></item></channel></rss>