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.

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 ...

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 ...

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 ...

Abstract: Geo-distributed computing, a paradigm that assigns computational tasks to globally distributed nodes, has emerged as a promising approach in cloud computing, edge computing, cloud-edge ...

Neel Somani, a researcher and technologist with a strong foundation in computer science from the University of California, Berkeley, focuses on advancements of distributed computing across personal ...

The explosion of AI companies has pushed demand for computing power to new extremes, and companies like CoreWeave, Together AI and Lambda Labs have capitalized on that demand, attracting immense ...

In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...

Today’s energy landscape demands fundamental transformation. Utilities face multiple challenges: aging infrastructure, increasingly complex grid environments, integrating renewable energy sources, and ...