As computing platforms evolved toward cloud computing and the Internet of Things, distributed systems faced challenges managing access control across variable ...

Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...

For decades, the data center was a centralized place. As AI shifts to an everyday tool, that model is changing. We are moving ...

London, UKCryptoEasily is a global cloud computing service platform that integrates distributed computing resources, ...

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 ...

Research published in the European Journal of AI, Computing & Informatics establishes generative AI methodologies for automated defect ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Here's why the next great AI company won't own a data center — and what that means for founders.

ZKP draws attention with its 190M daily token model as Solana price hits unusual levels and Story crypto slides, reshaping ...

Riemann Computing is Seeking Funding to Build out a Data Center We are looking to democratize how data is processed in ...

Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging ...