wearables
9 articles about wearables in AI news
Apple's 'Visual Intelligence' Vision: How AI-Powered Cameras Will Redefine Wearables
Apple is developing 'Visual Intelligence'—AI that interprets the physical world through cameras—as the foundation for its next generation of wearables, including smart glasses, advanced AirPods, and a camera-equipped pendant.
AI System Discovers 'Late-Night Doomscrolling' as Health Biomarker from Wearables
An AI system analyzes wearable device data to discover new digital biomarkers for health. Its first identified pattern links prolonged late-night phone use—'doomscrolling'—to physiological states.
Perplexity Computer Gains Health App Integration, Enabling Wearable and Medical Record Access
Perplexity Computer now integrates with health apps, wearables, lab results, and medical records, positioning the AI device as a personal health assistant. This expands its utility beyond general web search and productivity.
Microsoft's Copilot Health Enters the AI Medical Arena, Paving the Way for 'Medical Superintelligence'
Microsoft launches Copilot Health, an AI assistant that aggregates data from wearables, medical records, and labs to provide personalized health insights. It joins OpenAI and Anthropic in a competitive race to transform healthcare with AI, backed by clinical oversight and stringent privacy measures.
Snap & Qualcomm Partner on Snapdragon XR for Future Spectacles
Snap has entered a strategic agreement with Qualcomm to power future generations of its Spectacles AR glasses with Snapdragon XR platforms. This hardware partnership is critical for Snap's long-term bet on AI-driven augmented reality.
QUMPHY Project's D4 Report Establishes Six Benchmark Problems and Datasets for ML on PPG Signals
A new report from the EU-funded QUMPHY project establishes six benchmark problems and associated datasets for evaluating machine and deep learning methods on photoplethysmography (PPG) signals. This standardization effort is a foundational step for quantifying uncertainty in medical AI applications.
Fine-Tuning Isn’t a Winning Move Anymore — Data-First LLMs Win
A new perspective argues that fine-tuning LLMs is becoming a secondary tactic. The primary competitive advantage now lies in a 'data-first' strategy: curating, generating, and structuring proprietary data to build superior models from the ground up.
KAIST Develops 'SoulMate' AI Chip for Real-Time, On-Device Personalization
KAIST researchers have developed a new AI semiconductor, 'SoulMate,' that enables real-time, on-device learning of user habits and preferences. The chip combines RAG and LoRA for instant personalization while consuming minimal power, aiming for commercialization by 2027.
New Research Improves Text-to-3D Motion Retrieval with Interpretable Fine-Grained Alignment
Researchers propose a novel method for retrieving 3D human motion sequences from text descriptions using joint-angle motion images and token-patch interaction. It outperforms state-of-the-art methods on standard benchmarks while offering interpretable correspondences.