While the market for conventional webcam and laptop camera modules remains robust, driven by hybrid work models, the most significant innovation and value are now concentrated in specialized segments.

Debuted in Japan, the offering is designed to help data center operators reduce capital investment and operating costs by ...

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 ...

Abstract: Low Earth Orbit (LEO) satellite constellations have experienced rapid growth in recent years, driven by their potential to deliver global, high-bandwidth Internet services with low latency.

Amid sustained high demand for AI computing power and accelerated deployment of data center expansions and edge AI applications, Powertech expressed an optimistic outlook for its 2026 operations ...

Iri Trashanski, Chief Strategy Officer at Ceva, is shaping the future of the Smart Edge with extensive experience across tech sectors. AI inference is happening across a network of local ...

This educational repository demonstrates the architectural principles and implementation techniques of high-performance Large Language Model (LLM) inference engines, from fundamental CUDA kernels to ...

Distributed Thermal Mesh Networks: Smart Underground Heat Routing for Urban Waste Recovery Note: This README is an ultra-condensed summary of the research reports published by Unpatentable.org. To ...

Abstract: With the rapid evolution of artificial intelligence (AI) models, remote sensing applications increasingly rely on computationally intensive deep learning algorithms. However, the outdated ...

The partnership combines IBM's expertise in practical quantum computers with Cisco's innovations in quantum networking. The companies aim to scale large, fault-tolerant quantum systems beyond IBM's ...