Intel Labs introduces VI-Depth version 1.0, an open-source model that integrates monocular depth estimation and visual inertial odometry to produce dense depth estimates with metric scale.
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Neural networks news
Intel NN News
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Intel Labs Releases Models for Computer Vision Depth Estimation: VI-Depth 1.0 and MiDaS 3.1
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oneTBB Concurrent Container Class: An Efficient Way To Scale Your C++ Application
Intel® oneTBB can assist in scaling your C++ application, even if not a threading concepts’ expert.
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oneTBB Concurrent Container Class: An Efficient Way To Scale Your C++ Application
Intel® oneTBB can assist in scaling your C++ application, even if not a threading concepts’ expert.
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Virtual Meeting: CPU Accelerated Fine-Tuning for Image Segmentation using PyTorch
Register for virtual University of Houston Hewlett Packard Enterprise Data Science Institute meeting
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Accelerate your AI Applications using Intel AI Tools and Frameworks: Three Tech Talks
Overview of three on-demand tech talks which were delivered at oneAPI DevSummit for AI and HPC 2022
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Optimize PyTorch* Performance on the Latest Intel® CPUs and GPUs
With 4th Gen Intel® Xeon® Scalable Processors, developers can use optimization strategies for PyTorch*
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Meetup: CPU Accelerated Fine-Tuning for Image Segmentation using PyTorch
Register for Virtual Meetup on how to accelerate fine-tuning models on your CPU using PyTorch
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On-Demand Webinar: Optimize Transformer Model Performance with Intel and Hugging Face
Julien Simon of Hugging Face: increase productivity running transformers workloads on CPU platforms
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6 Trends Driving the AI Everywhere Boom
With AI Everywhere, businesses and organizations can use AI to automate tasks, improve decision-making, enhance customer experiences, and more. Discover the six trends that are setting the pace.AI in Industrial Automation
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Enabling In-Memory Computing for Artificial Intelligence Part 1: The Analog Approach
In this two-part series, we will explore and evaluate digital and analog computing and highlight the work that Intel Labs has done in the respective areas, starting with the analog approach.
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