Every story in this issue with a short summary, so you can decide what to read before leaving the site. Summaries are written by AI (Claude) only from each publisher's own description and checked by Jev for anything not in that description. They are not full translations. Follow "Read the original" for the full story.
On Episode 26 of Making Sense of AI 2gether, Claudine Wong and Lisa Bernard talk with Cassandra Worthy, author and founder of Change Enthusiasm Global, about AI grief, workplace anxiety and navigating change. They discuss the three-step Change Enthusiasm framework, transparency around potential layoffs, generational differences and the importance of human connection.
Read the original →In 2018, the United Kingdom appointed the world's first minister for loneliness. Japan subsequently established a similar position.
Read the original →Researchers have built DepressNet, an interpretable stacking-ensemble machine learning framework. It stratifies depression severity into five levels from DASS-42 questionnaire data while using SHAP.
Read the original →A new deep learning framework passively reads smartphone sensor data from college students and can detect depression and stress. Rigorous cross-dataset validation revealed limits to its headline results.
Read the original →University of Liège researchers argue that single biomarkers cannot predict which HPV infections progress to cancer. They say AI-driven integrative models offer the most promising approach.
Read the original →A new review proposes an intelligence-enabled framework that combines smart inhalable biomaterials, machine-learning-driven formulation design, lung-on-chip validation and patient-specific pulmonary approaches.
Read the original →An AI tool called ChromAgeNet identifies aging in blood stem cells. It detects subtle age-related patterns in the 3D organization of chromatin from standard DAPI-stained nuclear images.
Read the original →A registration-guided 3D-UNet framework automatically localizes the brain's anterior and posterior commissures on routine CT scans with millimeter precision. This enables standardized analysis.
Read the original →A hybrid CNN–BiLSTM network with additive attention classifies brain MRI into four Alzheimer's disease stages with 95.94% slice-level accuracy. A leakage audit shows the figure is an upper bound.
Read the original →The item is a final scorecard on the Governor's signing decisions. AB 1883 received two sentences and one piece of homework: ask about your camera-analytics tools.
Read the original →The report's recommendations include requiring reporting of AI.
Read the original →A systematic review of 81 studies finds that artificial intelligence is reducing infectious, toxic and occupational health risks across the entire waste management lifecycle.
Read the original →China's Ministry of Commerce announced on the 16th that 40 technologies across three fields would be subject to export controls. The fields are artificial intelligence, biopharmaceuticals and solar power generation.
Read the original →Sharp is starting a trial of an "AI trainer for nursing care" that uses AI and a large TV screen to support functional training work in care settings. The trial is at the special nursing home Flos Higashi-Koujiya, run by the social welfare corporation Zenkokai.
Read the original →eatas, which runs the online nutrition counseling service eat+ with registered dietitians, worked with AI Impulse. Together they developed an "AI dietary assessment" that uses nutrition interviews conducted by a generative AI avatar.
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