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Neural networks news
Intel NN News
- Building Agentic Systems for Preventative Healthcare with AutoGen
This blog demonstrates the preventative healthcare outreach agentic system built using AutoGen.
- Making Vector Search Work Best for RAG
This blog in the series on Scalable Vector Search summarizes insights from our study on optimizing […]
- GenAI-driven Music Composer Chorus.AI: Developer Spotlight
An Intel® Student Ambassador’s GenAI solution for music composition
- Building Agentic Systems for Preventative Healthcare with AutoGen
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Intel Labs Presents Seven Computer Vision Papers at ECCV 2022
Intel Labs will present seven papers at ECCV 2022.
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Innovation 2022: AI for Social Good Hackathon
Learn about the Intel Innovation 2022 hackathon event with the theme of “AI for Social Good.”
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Innovation 2022 Participant Experience: My First Ever Hackathon
My participant experience from Intel Innovation 2022 hackathon event themed: “AI for Social Good.”
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AI Everywhere: Innovation 2022 Wrap-Up
Intel Innovation 2022 featured AI topics in keynotes, session tracks, demos, workshops, & hackathons.
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Empowering Red Hat* OpenShift* Data Science Platform with Intel AI
Use the Intel® AI Analytics Toolkit on the (RHODS) platform to speed up many parts of AI workflow
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Exploration on Confidential Computing for Big Data & AI using BigDL
Occlum* gives users the freedom to run programs in SGX without hassles presented by standard SGX SDK.
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OpenVINO™ integration With TensorFlow Now Comes With Docker Support
An illustrated guide on using Docker with Intel’s OpenVINO™ integration with Tensorflow*
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YOLOv5 Model INT8 Quantization based on OpenVINO™ 2022.1 POT API
How to use OpenVINOTM 2022.1 Post-training Optimization Tool (POT) API for YOLOv5 Model INT8
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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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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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