Smaller models, lightweight frameworks, specialized hardware, and other innovations are bringing AI out of the cloud and into ...

PHIL AI is pursuing an open ecosystem strategy by collaborating with infrastructure and application partners to support end-to-end AI workflows. Through integrations with decentralized compute ...

Overview: Edge AI processes data locally, cutting latency, boosting security, and enabling real-time decisions without ...

Most edge AI demonstrations operate flawlessly in controlled environments with stable networks, predictable traffic, and ...

Through this innovative integration, Emdoor Digital is leading the evolution of compact terminals towards highly available, high-privacy next-generation AI computing platforms, br ...

At CES 2026, the world's leading consumer and enterprise technology event, MICROIP Inc. (Emerging Stock Board: 7796), a ...

Artificial Intelligence in Energy Market was valued at USD 3904 Million in the year 2024 and is projected to reach a revised size of USD 11720 Million by 2031, growing at a CAGR of 17.3% during the ...

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

Datavault AI will activate a secured multi-city edge AI network for real-time data tokenization, security, and monetization ...

MICROIP Inc., a Taiwan-based provider of ASIC design services and AI software solutions, today showcased its AIVO (AI Vision ...

Imagine a hospital where a clinician can receive critical diagnostic insights in real-time, patient care isn't hindered by geography or resource limitations, and administration is so frictionless that ...

Edge AI is a form of artificial intelligence that in part runs on local hardware rather than in a central data center or on cloud servers. It’s part of the broader paradigm of edge computing, in which ...