Le projet THINK

The 4th gen Intel® Xeon® Scalable Processor, formerly codenamed Sapphire Rapids is a balanced platform for Graph Neural Networks (GNN) training, accelerating both sparse and dense compute. In this article, Intel CPU refers to 4th gen Intel® Xeon® Scalable Processor with 56 cores per socket.

Intel is democratizing AI inference by delivering a better price and performance for
real-world use cases on the 4th gen Intel® Xeon® Scalable Processors, formerly codenamed Sapphire Rapids. In this article, Intel® CPU refers to 4th gen Intel® Xeon® Scalable Processors. For protein folding of a set of proteins of lengths less than a thousand, using DeepMind’s AlphaFold2 inference based end-to-end pipeline, a dual socket Intel® CPU node delivers 30% better performance compared to our measured performance of an Intel® CPU with an A100 offload.

For the past five years at the JUMP CRISP Center at UCSD, Professor Tajana Simunic Rosing has led hyperdimensional computing research efforts to solve memory and storage challenges in COVID-19 wastewater surveillance and personalized recommendation systems.

Add domain-specific knowledge to foundation AI models without the AI training costs or expertise.

OpenVINO utilizes oneDNN GPU kernels for discrete GPUs to accelerate compute-intensive workloads

Intel Labs and the Hebrew University of Jerusalem present SWEET, an adaptive Inference method for text classification at this year’s ACL conference. 

Intel Labs and the Hebrew University of Jerusalem present SWEET, an adaptive Inference method for text classification at this year’s ACL conference. 

Developer Spotlight: Arnab Das proposed a solution to Chronic Kidney Disease Risk Prediction

 According to a whitepaper from ABi Research, every AI investment must be a forward-looking business decision. As the 2020s are shaping up as the decade of Artificial Intelligence, businesses have increased their AI budgets significantly.

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.