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Researchers developed a deep learning model using temporal convolutional networks to estimate gait metrics from smartwatch accelerometer and gyroscope data, enabling health analysis from wrist-worn devices. The model was validated on 246 participants across approximately 70,000 walking segments using a lab-grade reference system, achieving Pearson correlation coefficients greater than 0.80 for most metrics with performance comparable to smartphone-based methods despite using half the training data. Smartwatches can now provide continuous, accessible gait analysis outside clinical settings for early disease detection and fall risk assessment without requiring precise phone placement.
OpenAI invested in Merge Labs, a company developing brain-computer interfaces that connect human neurology with artificial systems. The investment amount was not disclosed in the announcement. The move signals OpenAI's expansion beyond language models into neural interface technology that could enhance human cognitive capability.
A Practical Guide to Building AI Agents provides guidance on designing, orchestrating, and deploying AI agents. It covers model selection, tool design, guardrails, and multi-agent patterns. As a result, readers get a structured checklist-style approach rather than an implemented system or measured performance change.
The article provides a practical guide for startups to migrate to the Responses API and build reliable GPT-5–based agent workflows. It specifically focuses on migrating to the Responses API. It changes how developers plan GPT-5 integration by covering agent design, prompt tuning, and steering to improve reliability.
OpenAI issued a request for proposals to expand domestic manufacturing of AI infrastructure components within the United States. The initiative aims to build supply chain resilience by reducing dependence on foreign manufacturing for hardware needed to train and deploy AI systems. This effort could increase domestic employment and reduce delays in AI infrastructure deployment by keeping production closer to where systems are developed and deployed.
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