Blog Posts

Laser Focused: How Multi-View LidarNet Presents Rich Perspective for Self-Driving Cars

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Deep neural network takes a two-stage approach to address lidar processing challenges. Editor’s note: This is the latest post in our NVIDIA DRIVE Labs series, which takes an engineering-focused look at individual autonomous vehicle challenges and how […]

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A Faster, Simpler Path to AI-Enabled Robotics: The UP Squared RoboMaker Developer Kit, Powered by Intel and AWS

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. The pace of innovation is quickening across all industries, including manufacturing and the intelligent factories of Industry 4.0. Unlocking the value of data via machine learning is propelling us into this next phase, and innovations in industrial

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Streamline Your Intel Distribution of OpenVINO Toolkit Development with Deep Learning Workbench

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Back in 2018, Intel launched the Intel® Distribution of OpenVINO™ toolkit. Since then, it’s been widely adopted by partners and developers to deploy AI-powered applications in various industries, from self-checkout kiosks to medical imaging to industrial robotics.

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Protecting Privacy in a Data-Driven World: Privacy-Preserving Machine Learning

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Privacy for machine learning (ML) and other data-intensive applications is increasingly threatened by sophisticated methods of re-identifying anonymized data. In addition, while encryption helps preserve privacy while data is stored on hard drives or moving over networks,

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Codeplay’s Contribution to DPC++ Brings SYCL Support for NVIDIA GPUs

This blog post was originally published at Codeplay Software’s website. It is reprinted here with the permission of Codeplay Software. Codeplay has been a part of the SYCLâ„¢ community from the beginning, and our team has worked with peers from some of the largest semiconductor vendors including Intel and Xilinx for the past 5 years

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Exploring Deep Learning Face Recognition with Thermal Images

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. Interactions with computer systems frequently benefit from the ability to detect information about the user or use environment. Image processing and analyzing techniques, including deep neural networks (DNNs), are often used for this purpose. However, many promising

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Getting the Word Out On MPEG7/VCM for Vision Based Applications using AI (Edge & Cloud)

Computer vision technology is poised for incredible growth across nearly all applications. Machine-to-Machine (M2M) connections and human-machine (H2M) vision will represent the greatest usage of Internet video traffic. Visual intelligence is being incorporated into new products and practical applications, including automotive, smart cites, security and surveillance, consumer electronics, industrial, health, retail and beyond. Early this

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Int4 Precision for AI Inference

This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. If there’s one constant in AI and deep learning, it’s never-ending optimization to wring every possible bit of performance out of a given platform. Many inference applications benefit from reduced precision, whether it’s mixed precision for recurrent

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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