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Articles récents
- Intel Labs Researcher Souvik Kundu Receives DAC Under-40 Innovators Award for Impactful AI Research
- How Startups Can Benefit from Corporates: Learnings from Intel® Liftoff for AI Startups
- Mamba-Shedder: Intel Labs Explores Efficient Compression of Selective Structured State Space Models
- Driving Industrial Innovation with AI at the Edge: Open Platforms Leading the Way
- Deploying Scalable Enterprise RAG on Kubernetes with Ansible Automation
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Neural networks news
Intel NN News
- Intel Labs Researcher Souvik Kundu Receives DAC Under-40 Innovators Award for Impactful AI Research
Souvik Kundu is a Staff Research Scientist at Intel Labs, leading scalable and efficient AI […]
- How Startups Can Benefit from Corporates: Learnings from Intel® Liftoff for AI Startups
Wondering if your AI startup should team up with a big tech company? Here’s what 350+ founders […]
- Intel Labs’ Innovative Low-Rank Model Adaptation Increases Model Accuracy and Compression
Intel Labs’ Neural Low-Rank Adapter Search (NLS) produces accurate models with INT4 weights and […]
- Intel Labs Researcher Souvik Kundu Receives DAC Under-40 Innovators Award for Impactful AI Research
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Archives mensuelles : juin 2022
Enabling AI Everywhere by Accelerating the Open AI Software Ecosystem
Wei Li, Intel’s VP/GM AI & Analytics, discusses enabling an open AI ecosystem through Intel’s partnerships with Google, HuggingFace, and Accenture at the AI Summit in London.
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Enhance Artificial Intelligence (AI) Workloads with Built-in Accelerators
Intel DL Boost brings accelerated performance without the need for a discrete add-on accelerator.
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Hybrid AI Inferencing managed with Microsoft Azure Arc-Enabled Kubernetes
Azure Arc-Enabled Kubernetes enables centralized management of heterogenous and geographically separate Kubernetes clusters from Azure public cloud.
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OpenVINO™ Toolkit Execution Provider for ONNX Runtime — Installation Now Made Easier
Installation Now Made Easier
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Intel Labs Accelerates Single-cell RNA-Seq Analysis
On a single instance of n2-highcpu-64 on GCP, the whole pipeline finishes in just 459 seconds (7.65 mins). This is nearly 40 times faster than the 5-hour CPU baseline that we started with. This is also nearly 1.5 times faster … Continuer la lecture
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