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Articles récents
- Embedded LLM Benchmarks Reveal Intel® Gaudi® 2 Advantage over NVIDIA A100
- Intel Labs Offers Open Source AI Frameworks Designed to Run on Intel Hardware
- The Secret Inner Lives of AI Agents: Understanding How Evolving AI Behavior Impacts Business Risks
- Is Your Data Ready for AI? Steps to Improve Data Quality
- Building High-Performance Image Search with OpenCLIP, Chroma, and Intel® Max GPUs
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Neural networks news
Intel NN News
- Embedded LLM Benchmarks Reveal Intel® Gaudi® 2 Advantage over NVIDIA A100
Intel® Liftoff startup Embedded LLM benchmarked Intel® Gaudi® 2 against NVIDIA A100, revealing […]
- Intel Labs Offers Open Source AI Frameworks Designed to Run on Intel Hardware
Intel Labs supports the AI developer community with open source AI frameworks, including the […]
- The Secret Inner Lives of AI Agents: Understanding How Evolving AI Behavior Impacts Business Risks
Part 2 in Series on Rethinking AI Alignment and Safety in the Age of Deep Scheming
- Embedded LLM Benchmarks Reveal Intel® Gaudi® 2 Advantage over NVIDIA A100
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Archives de catégorie : Non classé
The Example of Deploying YOLOv7 Pre-trained Model Based on the OpenVINO™ 2022.1 C++ API
How to deploy the YOLOv7 official pre-trained model based on the OpenVINO™ 2022.1 tool suite.
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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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Intel Labs’ Validate on Sim, Detect on Real (VSDR) Narrows Sim2Real Gap in Robot Learning
Intel Labs, in collaboration with the Technion – Israel Institute of Technology, developed a “Validate on Sim, Detect on Real” (VSDR) approach for learning robotic skills.
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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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