AMD and Nvidia will be powering two major U.S. government-backed AI infrastructure projects—AMD for Sovereign AI Factories and Nvidia for the DOE’s largest AI system yet.
DUBAI, 17th October, 2025 (WAM) -- On the sidelines of the 45th edition of GITEX Global in Dubai, and as part of its cross-sector partnerships to enhance future skills, Digital Dubai signed a ...
Abstract: The increasing adoption of cloud-based infrastructures necessitates robust cybersecurity measures, particularly in Intrusion Detection Systems (IDS). While Machine Learning (ML)-based IDS ...
SAN FRANCISCO, Oct. 15, 2025 /PRNewswire/ -- Brex, the intelligent finance platform, today announced that it is collaborating with Oracle, becoming the first fintech issuer to be embedded within ...
Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...
(Reuters) -Oracle will offer cloud services using Advanced Micro Devices' upcoming MI450 artificial intelligence chips, the companies said on Tuesday, as they rush to tap the booming demand for ...
Built on Oracle Acceleron RoCE networking architecture with NVIDIA AI infrastructure, OCI Zettascale10 will provide multi–gigawatt AI workload capacity and scale LAS VEGAS, Oct. 14, 2025 /PRNewswire/ ...
Oracle to Deploy 50,000 AMD AI Chips in Bid to Challenge Nvidia Your email has been sent Oracle is making a calculated play to loosen Nvidia’s grip on the AI chip market. The cloud giant will deploy ...
It’s time for the Oracle faithful to make the trek to Las Vegas for this year’s user gathering where new management makes its debut and CTO Larry Ellison will be talking about the huge AI re-invention ...
At Oracle AI World, Larry Ellison delivered a keynote blending grand AI vision with Oracle's practical enterprise solution: using RAG and vectorization to let companies safely apply AI models to their ...
Abstract: With the continuous rolling-out of wireless edge cloud networks, Federated Learning (FL) has emerged as a promising solution for decentralized model training without exposing raw data.
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