Happening Now
Friday, April 19- Weights & Biases Announces Expanded Integration with NVIDIA NIM
- BrainChip Highlights the 2nd Generation Akida at tinyML Summit 2024
- SAS-Sponsored Study Highlights Talent Shortages and Strategic Gaps in GenAI Adoption
- Fujitsu and Oracle Collaborate to Deliver Sovereign Cloud and AI Capabilities in Japan
- SAS Viya Expands Generative AI Capabilities with New Data Maker and Industry-Specific Assistants
- Kore.ai Introduces Experience Optimization Platform V11.0, Accelerating AI Deployment
- SAS Advances Industry Solutions with Packaged AI Models
- Oracle to Invest More Than $8B in Cloud Computing and AI in Japan
- AI Squared Raises $13.8M to Accelerate Widespread AI Adoption Within Organizations
- NeuReality Launches Developer Portal for NR1 Inference Platform, Expanding Affordable AI Access
- General Assembly Report: Tech Firms Pay Top Dollar to Secure Competent AI Professionals
- Loft Labs Raises $24M in Series A Funding to Enhance Multi-Cloud and AI Infrastructure Capabilities
- Seekr and Intel Collaborate to Deliver Trusted, Responsible AI Solutions for Enterprise Customers
- Linux Foundation Launches Margo to Deliver Long-Awaited Edge Interoperability
- MLCommons Announces AI Safety v0.5 Proof of Concept
- Qdrant Announces an Industry-First Hybrid Cloud Offering for Enterprise AI Applications
- Bearing AI Launches First AI-Powered Planning Tool for Shipping Liners
- Microsoft Invests $1.5B in Abu Dhabi’s G42 to Accelerate AI Development and Global Expansion
- Privacera Enhances AI Governance with New Access Control and Data Filtering for Vector DB/RAG
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Alex WoodieContributing Editor
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EPSRC
Energy-efficient Many-core Is the PRiME Objective
Electronic engineers and computer scientists in the UK are working to develop more reliable and energy-efficient many-core embedded systems as part of a new five-year program, called PriME. Full Article