How Can Agentic AI Wearables Enable Proactive Health Monitoring and Elderly Care?
On a hot summer day in Austin, 72-year-old Arthur is working in the garden. After a while, he starts feeling uneasy as he has been..
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Securing Medical IoT Devices with an MLOps Automated Pipeline
Medical devices like smart infusion pumps and connected heart monitors keep patients safe every day…
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The Enterprise Blueprint for Scalable MLOps Orchestration
Getting a machine learning model to work in a Jupyter notebook is easy. The hard part and where most enterprise projects…
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Asset Lifecycle Management at the Edge
Factory floors today are generating more operational data than ever before. From CNC machines…
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Agentic Vision AI for ADAS: Multi-sensor Fusion for Intelligent Perception and Inference
For over a decade, ADAS has continually evolved with its focus on improving perception…
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Leveraging Open-Source Edge AI Models with MosChip GenAIoT
Industrial automation and digital manufacturing are evolving rapidly as Edge AI models are reducing…
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Edge AI-Driven Matter Controller for Next-Generation Smart Homes
The smart home world is changing quickly. The Matter standard is reshaping how connected devices work together…
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What are the Factors to Consider for AI Model Fine-Tuning?
Today, almost every OEM is racing to bring intelligent, AI-enabled products to the market across automotive, industrial…
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VisionCore for Smart Public Systems: CCTV Cameras as Agentic Assistants
I have always thought that a surveillance system is only as good as its ability to quickly turn vision into timely insights…
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Envisioning The Future of Wearables: From Trackers to Companions
Today’s wearables sense and notify while tomorrow’s wearables reason and adapt. Agentic AI enables a layered intelligence model where sensing, near-edge reasoning, and cloud-based agents work together to deliver proactive, personalized outcomes. This marks the transition from threshold-driven tracking to continuous, context-aware companionship…
