Neuroevolution-Enhanced Multi-Objective Optimization (NEMO) for Mixed-Precision Quantization delivers state-of-the-art compute speedups and memory improvements for artificial intelligence (AI) applications.
-
-
Articles récents
- Connected Data is the Future: How Neo4j Is Enabling the Next Generation of AI
- Orchestrating AI for Real Business Value: Google Cloud’s Approach to Scalable Intelligence
- Curious Case of Chain of Thought: Improving CoT Efficiency via Training-Free Steerable Reasoning
- Intel Labs Works with Hugging Face to Deploy Tools for Enhanced LLM Efficiency
- AI’s Next Frontier: Human Collaboration, Data Strategy, and Scale
-
Neural networks news
Intel NN News
- Connected Data is the Future: How Neo4j Is Enabling the Next Generation of AI
In the evolving landscape of artificial intelligence, connected data is becoming a core competitive […]
- Orchestrating AI for Real Business Value: Google Cloud’s Approach to Scalable Intelligence
In the race to operationalize AI, success hinges not on hype, but on clarity, customization, and […]
- Curious Case of Chain of Thought: Improving CoT Efficiency via Training-Free Steerable Reasoning
Researchers from the University of Texas at Austin and Intel Labs investigated chain-of-thought […]
- Connected Data is the Future: How Neo4j Is Enabling the Next Generation of AI
-