AI's Rising Environmental Toll
AI infrastructure is driving major new energy and water demands with limited public support.
- Power expansion: At least 82 gas-burning plants are...

Created by Gil Hurlbut
News, case studies, and commentary on applied AI across health, robotics, climate, and industry
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AI infrastructure is driving major new energy and water demands with limited public support.
Health system leaders report AI delivers most when expectations stay modest and data foundations are solid.
The first creation of 16 functional AI-designed synthetic viruses marks a critical milestone: generative models produced complete viral genomes that...
Reed Jobs' Yosemite fund pairs venture capital with no-strings-attached research grants to build biotech companies from the ground up, targeting a...
AI transforms precision medicine by fusing genomics, imaging, EHRs, and wearables into unified patient insights.
AI-driven screening combined with family genetics rapidly narrowed 500,000 compounds to a shortlist targeting WNK2, yielding candidate M04 that...
Workflow AI boosts efficiency inside single settings like hospitals or clinics but fails at the fragmented transitions where patient outcomes often...
Meta's Muse Code brings persistent background agents that work asynchronously across sessions, reducing developer oversight on complex tasks....
Dutch GPs lose over a day weekly to admin tasks like double registration and system reconciliation.
Four practical automations deliver real gains for...
Genomic precision medicine helps only a small share of patients by targeting tumor mutations. Functional precision medicine instead tests each...
Google's WeatherNext model delivers state-of-the-art cyclone forecasts that match prior two-day accuracy at three days out, effectively granting...
AI has created the first complete, working viral genomes from scratch.
The physical AI race is widening fast, spanning premium robotaxi systems and budget-friendly home robots.
Meta's new Muse Code beta adds planning, tools, and persistent context to Muse Spark 1.2, letting it autonomously tackle one large software task for...
AI enables a transition toward continuous, predictive, and individualized cardiovascular care by extracting latent information from complex physiologic signals.
Physics-informed AI will connect atomic-scale defects to electrical and thermal device performance, enabling earlier failure detection and more...
Two developments highlight maturing agent capabilities:
A new AI tool called CardiOmicScore analyzes proteins and metabolites from a single blood sample to predict risk for six major cardiovascular diseases...
AI is pushing cancer screening earlier by tackling detection challenges in routine scans and dense tissue.