Researchers reduce bias in AI models while preserving or improving accuracy - news.mit.edu
<a href="https://news.google.com/rss/articles/CBMiogFBVV95cUxOdm1ZVGpqc0w5NHZOUXkzUklFSUt5QjFYMUNRNWFXOHd0TFlIbS13Y1NXSWcwYkgxLXE3NmhJMmI3OVlwWE9aWVdYa19tZ1NJbEI2SzB4M2dUVzlBOXlaN0hsOG9DSDRKVWFQaVU4YWUzbUd5LWV1NXllR1REdW1Raml1Smx1S2R5RXl4dlQxeGIydlFWUDNfSkpkNkNUWmVqLWc?oc=5" target="_blank">Researchers reduce bias in AI models while preserving or improving accuracy</a> <font color="#6f6f6f">news.mit.edu</font>
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Inside CMU’s Push To Transform Treatment for Cancer, Organ Failure and Chronic Disease
<p> <img loading="lazy" src="https://www.cmu.edu/news/sites/default/files/styles/listings_desktop_1x_/public/2026-01/250716A_3D_Bio_Lab234.jpg.webp?itok=f-g_ECey" width="900" height="508" alt="Tissue lab"> </p> Researchers at Carnegie Mellon University are revolutionizing medical care for diseases that impact millions of Americans and the treatments they develop could alleviate major public health challenges.
The At-Home Test That Could Catch Cancer Earlier
<p> <img loading="lazy" src="https://www.cmu.edu/news/sites/default/files/styles/listings_desktop_1x_/public/2026-01/MC-200709A-Nanolab-0658.jpeg.webp?itok=tnAFG-Hk" width="900" height="508" alt="Nanotechnology laboratory"> </p> Researchers at Carnegie Mellon University are developing ways to catch cancer earlier than ever before. The project showed such promise that it was awarded up to $26.7 million in federal funding from the Advanced Research Projects Agency for Health (ARPA-H).
Why is gaming becoming so expensive? The answer is found in AI
<p>We are paying more for a PlayStation so that idiots can use ChatGPT to mislead people on dating apps – something is rotten in the state of gaming</p><p>• <a href="https://www.theguardian.com/info/ng-interactive/2021/nov/24/sign-up-for-pushing-buttons-keza-macdonalds-weekly-look-at-the-world-of-gaming"><strong>Don’t get Pushing Buttons delivered to your inbox? Sign up here</strong></a></p><p>When the PlayStation 5 launched almost five and a half years ago, it was listed at £449 in the UK. If you were to buy one at the recommended retail price today, it would be £569.99, or £789.99 for the updated Pro model. Sony has just <a href="https://www.theguardian.com/technology/2026/mar/27/sony-playstation-5-price-hike-ai-iran-war">raised the price</a> of its console by another £90, the latest in
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Why is gaming becoming so expensive? The answer is found in AI
<p>We are paying more for a PlayStation so that idiots can use ChatGPT to mislead people on dating apps – something is rotten in the state of gaming</p><p>• <a href="https://www.theguardian.com/info/ng-interactive/2021/nov/24/sign-up-for-pushing-buttons-keza-macdonalds-weekly-look-at-the-world-of-gaming"><strong>Don’t get Pushing Buttons delivered to your inbox? Sign up here</strong></a></p><p>When the PlayStation 5 launched almost five and a half years ago, it was listed at £449 in the UK. If you were to buy one at the recommended retail price today, it would be £569.99, or £789.99 for the updated Pro model. Sony has just <a href="https://www.theguardian.com/technology/2026/mar/27/sony-playstation-5-price-hike-ai-iran-war">raised the price</a> of its console by another £90, the latest in
Anthropic's Claude Code leak reveals its "Kairos" updates, including letting Claude work in the background and using a "dream mode" to consolidate its memories (The Information)
The Information : Anthropic's Claude Code leak reveals its “Kairos” updates, including letting Claude work in the background and using a “dream mode” to consolidate its memories — Anthropic's cybersecurity employees have probably spent the past week scolding their colleagues.
데이터브릭스 “분석·운영 데이터 통합이 AI 성패 가른다”…플랫폼 전략 공개
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Training for Technology: Adoption and Productive Use of Generative AI in Legal Analysis
arXiv:2603.04982v2 Announce Type: replace-cross Abstract: Can targeted user training unlock the productive potential of generative artificial intelligence in professional settings? We study this question using a randomized experiment in which 164 law students completed an issue-spotting examination under one of three conditions: no GenAI access, optional access to a large language model (LLM), or LLM access with a brief training intervention. Untrained LLM access proved counterproductive: relative to participants without any LLM access, untrained users wrote significantly shorter answers, committed more case misstatements, and scored marginally lower, though most differences fall short of conventional significance. Training reversed this pattern. Trained participants adopted the LLM at hig
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