Intel Labs has released a case study involving a professor at the University of California-San Diego, who for the past five years has led research efforts into what’s called hyperdimensional computing aimed at solving memory and data storage challenges. Hyperdimensional computing (HD) is a type of machine learning inspired by observations of how humans and […]
UCSD Professor Leads COVID-19, Recommendation System Research Using ‘Hyperdimensional Computing’
July 18, 2023 by
GenAI: Intel Labs Introduces AI Diffusion Model for 360-Degree Images from Text Prompts
June 21, 2023 by
Intel Labs, in collaboration with Blockade Labs, has introduced Latent Diffusion Model for 3D (LDM3D), a diffusion model that uses generative AI to create 3D visual content. Intel said LDM3D is the industry’s “first model to generate a depth map using the diffusion process to create 3D images with 360-degree views that are vivid and […]
Intel Wins DARPA R&D Contract for Off-Road AV R&D
April 26, 2022 by
April 26, 2022 — DARPA, the Defense Advanced Research Projects Agency, has awarded Intel Federal LLC a contract to develop advanced simulation solutions for off-road autonomous ground vehicles. The company said Intel Labs will work in partnership with its collaborators, the Computer Vision Center Barcelona, and the University of Texas at Austin. The RACER-Sim (Robotic […]
Using AI to Identify Brain Tumors with Federated Learning
May 11, 2020 by
Researchers at Intel Labs and the Perelman School of Medicine are using privacy-preserving technique called federated learning to train AI models that identify brain tumors. With federated learning, research institutions can collaborate on deep learning projects without sharing patient data. “AI shows great promise for the early detection of brain tumors, but it will require more data than any single medical center holds to reach its full potential,” said Jason Martin, principal engineer at Intel Labs.
SLIDE algorithm for training deep neural nets faster on CPUs than GPUs
March 2, 2020 by
Rice researchers created a cost-saving alternative to GPU, an algorithm called “sub-linear deep learning engine” (SLIDE) that uses general purpose central processing units (CPUs) without specialized acceleration hardware. “Our tests show that SLIDE is the first smart algorithmic implementation of deep learning on CPU that can outperform GPU hardware acceleration on industry-scale recommendation datasets with large fully connected architectures.”
Intel Labs Unveils Pohoiki Beach 64-Chip Neuromorphic System
July 16, 2019 by
At the DARPA ERI summit this week, Intel Labs director Rich Uhlig unveiled “Pohoiki Beach” – a 64-Loihi Chip Neuromorphic system capable of simulating eight million neurons. Now available to the broader research community, the Pohoiki Beach enables researchers to experiment with Intel’s brain-inspired research chip, Loihi, which applies the principles found in the biological brains to computer architectures.
