-
-
Articles récents
- How Intel® Liftoff Startups Are Winning with DeepSeek
- Finetuning & Inference on GenAI Models using Optimum Habana and the GPU Migration Toolkit on Intel®
- Agentic AI and Confidential Computing: A Perfect Synergy for Secure Innovation
- AI PC Pilot Hackathon ‘24 Where Intel® Student Ambassadors Built High-performance AI Solutions
- Discover the Power of DeepSeek-R1: A Cost-Efficient AI Model
-
Neural networks news
Intel NN News
- Intel Labs AI Tool Research Protects Artist Data and Human Voices from Use by Generative AI
The Trusted Media research team at Intel Labs is working on several projects to help artists and […]
- How Intel® Liftoff Startups Are Winning with DeepSeek
From security and efficiency to testing, Intel® Liftoff Startups have jumped at the chance to […]
- AI PC Pilot Hackathon ‘24 Where Intel® Student Ambassadors Built High-performance AI Solutions
Top projects built by Intel® Student Ambassadors at the AI PC Pilot hackathon ’24.
- Intel Labs AI Tool Research Protects Artist Data and Human Voices from Use by Generative AI
-
Archives mensuelles : septembre 2023
Food Sales Prediction Model using scikit-learn* (sklearn): Developer Spotlight
Developer Spotlight: Sayan Malakar proposed an AI solution for food sales prediction
Publié dans Non classé
Commentaires fermés sur Food Sales Prediction Model using scikit-learn* (sklearn): Developer Spotlight
Accelerating Codegen training and inference on Habana Gaudi2
Optimum Habana makes it easy to achieve fast training and inference of large language models (LLMs) on Habana Gaudi2 accelerators. In this blog, we will walk through the process of performing Low-Rank Adaptation (LoRA) training of Codegen , an open-source LLM for … Continuer la lecture
Publié dans Non classé
Commentaires fermés sur Accelerating Codegen training and inference on Habana Gaudi2
FAENet: Intel Labs and Mila Collaborate on Data-Centric AI Model for Materials Property Modeling
Intel and Mila collaborated on FAENet, a new data-centric model paradigm that improves both modeling and compute efficiency across different types of materials modeling datasets.
Publié dans Non classé
Commentaires fermés sur FAENet: Intel Labs and Mila Collaborate on Data-Centric AI Model for Materials Property Modeling
New Possibilities for Generative AI SaaS: Intel® Liftoff Startups at Intel® Innovation 2023
Intel Innovation 2023 at the San Jose Convention Center is a global tech gathering focusing on AI, future-proof platforms, and startups, including six promising ones from the Intel Liftoff for Startups program. It’s a must-attend event for tech enthusiasts and … Continuer la lecture
Publié dans Non classé
Commentaires fermés sur New Possibilities for Generative AI SaaS: Intel® Liftoff Startups at Intel® Innovation 2023
Terrain Analytics Uses Intel® 4th Gen Xeon CPUs To Achieve Higher Throughput with Lower Costs
Terrain Analytics, a finalist in Intel Liftoff’s AI startup Hackathon, offers HR leaders valuable insights into talent management. Their platform enhances hiring precision and cost-effectiveness for businesses.
Publié dans Non classé
Commentaires fermés sur Terrain Analytics Uses Intel® 4th Gen Xeon CPUs To Achieve Higher Throughput with Lower Costs