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. […]
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,
Protecting Privacy in a Data-Driven World: Privacy-Preserving Machine Learning Read More +
This blog post was originally published at videantis’ website. It is reprinted here with the permission of videantis. We kicked off the new year with the largest consumer electronics show on the planet again: CES. The show was about the same size as last year, with the show floor growing a bit from 2.7 million
CES 2020: Automotive and AI Rule the Show Read More +
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 SYCL™ 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
Codeplay’s Contribution to DPC++ Brings SYCL Support for NVIDIA GPUs Read More +
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
Exploring Deep Learning Face Recognition with Thermal Images Read More +
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
Getting the Word Out On MPEG7/VCM for Vision Based Applications using AI (Edge & Cloud) Read More +
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
Int4 Precision for AI Inference Read More +
This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. An Intel marketing team recently approached the Intel Science and Technology Center for Visual Cloud Systems with a request. They were looking for traffic video clips to use at trade shows and in demos and wondered if
Overcoming Visual Analysis Paralysis Read More +
This blog post was originally published at videantis' website. It is reprinted here with the permission of videantis. Intelligence is quickly being added to all our electronics devices. Whether it’s our vehicles that automatically brake when things get dangerous, our phone’s cameras that ensure every picture we take looks great, or our datacenters that need
Why Your DL Accelerator Should Be Replaced Read More +
This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Quality requirements for manufacturers are increasing to meet customer demands. Manual inspection is usually required to guarantee product quality, but this requires significant cost and can result in production bottlenecks, lowered productivity, and reduced efficiency. Defect inspection
Automatic Defect Inspection Using the NVIDIA End-to-End Deep Learning Platform Read More +
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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