Archives mensuelles : juillet 2023

Using oneDNN for Improved Efficiency and Sustainability

Developer Spotlight: Arnab Das in his blog proposed a solution to Heart Disease Risk Prediction

The case for nimble, targeted, retrieval-based models as the best solution for generative AI applications deployed at scale.

Intel Labs had five papers accepted at the 40th International Conference on Machine Learning (ICML) 2023, happening now through July 29. Two papers were selected as spotlight oral papers at the conference: ProtST, which uses a ChatGPT-style design interface for … Continuer la lecture →

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 … Continuer la lecture →

Intel is democratizing AI inference by delivering a better price and performance forreal-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. … Continuer la lecture →

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.