Archives de catégorie : Non classé

Solving Hard Optimization Problems with Energy Efficient Neuromorphic Technology

At Intel, we are exploring stochastic spiking neural networks (SSNN) on our second-generation Loihi chip, which transmits data through patterns of pulses (or spikes) between neurons.

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Intel and Intel Labs Develop New AI Methods to Restore Trust in Media

Intel Labs’ trusted media research team investigates new approaches to help determine the authenticity of media content.

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The Power of Intel® Hardware for Billion-Scale Similarity Search

In this blog, we describe a solution that reaches new heights along all of these dimensions by leveraging the computational capabilities of Intel® Xeon® and the access characteristics of Optane™ Persistent Memory

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Optimizing Graph Neural Network Training Performance on Intel® Xeon®

In this article, we focus on the performance of GNN training for node classification on modern, general-purpose compute engines – the Intel® Xeon® family of CPUs.

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Celebrating Hispanic Heritage: Javier Turek’s Story from Intel Labs

During Hispanic Heritage Month, we proudly celebrate the culture and contributions of the Latinx community.

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Kid Space: Re-imagining the Potential of Technology-Mediated Learning

Kid Space incorporates audio and vision hardware components and AI technologies to create an adaptive and engaging learning environment.

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Intent Prediction Improves Human-robot Collaboration Task Fluency

Intel Labs will present the paper “Intuitive & Efficient Human-Robot Collaboration via Real-time Approximate Bayesian Inference” at IROS 2022 in Kyoto.

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Distributed Large-Scale Graph Training on Intel CPUs Presented at MLSys 2022

We present our open sourced Sequential Aggregation and Rematerialization (SAR) scheme, which achieves impressive results on common graph learning benchmarks in terms of speed and memory efficiency.

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Beyond Input-Output Reasoning: Four Key Properties of Cognitive AI

Published August 16, 2022 Image credit: James Thew via Adobe Stock. Gadi Singer is Vice President and Director of Emergent AI Research at Intel Labs leading the development of the third wave of AI capabilities. The Necessity of World Model, … Continuer la lecture

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VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers

We developed VL-InterpreT, an interactive tool that provides novel visualizations and analysis for interpreting the attentions and hidden representations in multimodal transformers. Our paper on VL-InterpreT won the Best Demo Award at CVPR 2022.

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