Most health apps are built to look backward. A user logs a meal, the app scores it, and the advice arrives after the damage is done. For someone newly diagnosed with type 2 diabetes, that timing is the whole problem. The product: a coach you ask before you eat Benchmarking the models instead of picking

Every major AI lab spent September and October 2026 doing the same thing: shipping a cheaper model and quietly reshuffling what free users actually get. OpenAI pushed GPT-6 Luna into the free ChatGPT tier on September 22. Anthropic followed on October 7 with Claude Haiku 5.5. Google finished its rollout of Gemini 4 Argon on

Deep learning models that scan brain MRIs for signs of Alzheimer’s disease can match, and sometimes surpass, expert clinicians at spotting the illness. But a new study from the German Center for Neurodegenerative Diseases and partner institutions reveals a troubling flaw hiding inside these seemingly brilliant systems: they quietly confuse growing older with growing sick.

Tiny Corp is making its Tinybox considerably more modular than before. The less expensive G4 platform with a 32-core EPYC, DDR4 and PCIe 4.0 starts at US$7,000; four Radeon RX 9070 XT cards cost an additional US$4,000. That brings a complete four-GPU machine to US$11,000—and targets users who want substantial compute performance but do not

Meta released Muse Wonder and Muse Wonder Full , state-of-the art AI models for personal and professional AI agents. Muse Wonder achieves 52 on Artificial Analysis Intelligence Index (AAII) , on par with GPT-5.1 Sol; Wonder Full Wonder scores 56 on AAII, matching Claude Sonnet 5.5, and ranking it #3 on all models. Muse Wonder

For millions of stroke survivors, walking again is the single most consequential milestone on the long road back to independence. Robotic exoskeletons promise to accelerate that journey, but the machines face a deceptively hard problem: to assist a leg safely, they must know, in real time, exactly which phase of the gait cycle that leg

Deep learning has now peered inside nearly five thousand human hips, and what it found could reshape how scientists think about one of the most common degenerative conditions in the world. In a study published in the Annals of Biomedical Engineering, researchers in the Netherlands developed and validated a fully automated, MRI-based method for analyzing

Google and chipmaker Synaptics are previewing a microcontroller designed to bring multimodal AI to devices constrained by power, memory and cost, from wearables to industrial sensors. Synaptics CEO Rahul Patel outlined the chip’s capabilities Oct. 14 at Google Research’s annual Research@ event in Mountain View, ahead of its formal launch Oct. 20. It combines Google’s