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 ...

Quantum computing poses a real and growing threat to established cryptographic algorithms like RSA and Elliptic Curve Cryptography (ECC), which form the backbone of digital security for DLT networks ...

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: The rapid development of parallel and distributed computing paradigms has brought great revolution in computing. Thanks to the intrinsic parallelism of evolutionary computation (EC), it is ...

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 However, the outdated ...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 ...

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 open source AI ecosystem took a decisive leap forward today as the PyTorch Foundation announced that Ray, the distributed computing framework originally developed by Anyscale, has officially ...