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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

Silicon Valley Wants to Build A.I. That Can Improve A.I. on Its Own

Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to ...

Science Is Drowning in AI Slop

Peer review has met its match.
American Institute of Physics

Modeling drifting seaweed rafts that clog ports and beaches

Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...
Gut

Shaping the future of postoperative recurrence in Crohn’s disease: personalised approaches with AI-enabled imaging and multi-omics

Postoperative recurrence (POR) is a major challenge in the long-term management of Crohn’s disease (CD), affecting up to 70% ...
Frontiers

Machine Learning for Inverse Design and Optimization of Metamaterials

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
InfoQ

Google Introduces TranslateGemma Open Models for Multilingual Translation

Google has released TranslateGemma, a set of open translation models based on the Gemma 3 architecture, offering 4B, 12B, and ...