According to a survey and white paper from Omdia Consulting, the focus is shifting towards the developer’s role in creating, implementing, and maintaining diverse AI models that can be efficiently developed and trained, and that are compatible with various software and hardware environments.
-
-
Articles récents
- Efficient PDF Summarization with CrewAI and Intel® XPU Optimization
- Rethinking AI Infrastructure: How NetApp and Intel Are Unlocking the Future with AIPod Mini
- Intel Labs Open Sources Adversarial Image Injection to Evaluate Risks in Computer-Use AI Agents
- Optimizing LLM Inference on Intel® Gaudi® Accelerators with llm-d Decoupling
- Robots Meet Humans: Intel Labs Extends Robotics Safety to Cover 3D Environments
-
Neural networks news
Intel NN News
- Efficient PDF Summarization with CrewAI and Intel® XPU Optimization
In this blog, we demonstrate how to build and run a PDF Summarizer Agent using Intel® […]
- Rethinking AI Infrastructure: How NetApp and Intel Are Unlocking the Future with AIPod Mini
In an era dominated by the narrative that “AI equals GPUs,” a quiet revolution is […]
- Intel Labs Open Sources Adversarial Image Injection to Evaluate Risks in Computer-Use AI Agents
Adversarial examples can force computer-use artificial intelligence (AI) agents to execute […]
- Efficient PDF Summarization with CrewAI and Intel® XPU Optimization
-