Happening Now
Friday, April 26 Thursday, April 25- Cohere Introduces Open-Source Toolkit to Empower AI Developers
- Oracle US Government Cloud Customers Accelerate Sovereign AI with NVIDIA AI Enterprise
- Cleanlab Launches New Solution to Detect AI Hallucinations in Language Models
- University of Maryland’s Smith School Launches New Center for AI in Business
- Augment Inc. Raises $227M at $977M Valuation to Empower Software Teams With AI
- NVIDIA to Acquire GPU Orchestration Software Provider Run:ai
- Snowflake Launches Arctic: The Most Open, Enterprise-Grade Large Language Model
- NEC Expands AI Offerings with Advanced LLMs for Faster Response Times
- DDN Selected by Jump Trading to Accelerate AI Quantitative Trading at Massive Scale
- Lenovo Advances Hybrid AI Innovation to Meet the Demands of the Most Compute Intensive Workloads
- G42 Selects Qualcomm to Boost AI Inference Performance
- CERN’s Edge AI Data Analysis Techniques Used to Detect Marine Plastic Pollution
- The Coca-Cola Company and Microsoft Announce Partnership to Accelerate Cloud and GenAI Initiatives
- New Horizon Europe Funding Boosts European Research in AI and Quantum Tech
- Edge Impulse Expands Capabilities in Industrial Computer Vision with New Anomaly Detection Tech
- SymphonyAI Announces IRIS Foundry, an AI-powered Industrial Data Ops Platform
- Jülich’s New AI Foundation Models Aim to Advance Scientific Applications
- Cognizant and Microsoft Expand Partnership to Deploy Generative AI Across Multiple Industries
- Oracle and Reka Collaborate to Advance AI Innovation
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wu feng
The Challenges of Energy Efficient Exascale Computing
At some point, the advancement in computer technology will lead to computing at one exaflops, or a thousand petaflops. Achieving this landmark goal is driving datacenters to meet the ...Full Article
Wu Feng Analyzes Green500 Data to Find a Path to Exascale Computing
Feng, co-founder of the Green500, has collected and analyzed the data from seven years of Green500 winners. Computers are getting bigger, faster, and more efficient every year. But is ...Full Article