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Intel RealSense Depth Camera D455: Twice the Range, Better Performance
What’s New: Today, Intel introduced the Intel® RealSense™ Depth Camera D455, a new stereo-based depth camera equipped with a longer range and increased precision that achieves twice the range of previous generation models. The D455 grants
IDS NXT Lighthouse: Intuitive AI Training Software without the Need for Programming
Ease of use lowers entry barrier for users without prior knowledge In order to implement AI vision solutions, specialist knowledge, development effort and investment in computer hardware and storage technology are usually required. With cloud
CUDA Refresher: Getting Started with CUDA
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This is the second post in the CUDA Refresher series, which has the goal of refreshing key
Ethical Opportunities for AI: Protecting Humans from Ourselves
This blog post was originally published by Bitfury. It is reprinted here with the permission of Bitfury. Aside from the immature design of many AI applications, another ethical pitfall presents itself in the way we
CUDA Refresher: Reviewing the Origins of GPU Computing
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This is the first post in the CUDA Refresher series, which has the goal of refreshing key
XIMEA Releases Another 5K High-speed Industrial Camera Based On Gpixel GMAX0505
June, 2020, Muenster, Germany – XIMEA, pioneer in industrial cameras with high speed interfaces, started to deliver new models from high resolution line of PCI Express based cameras. The well-known high-speed camera line from XIMEA
Horizon Journey 2 Honored with the Vision Product of the Year Award
This news post was originally published by Horizon Robotics. It is reprinted here with the permission of Horizon Robotics. Horizon Journey ™️ 2, the automotive AI Processor developed by AI solution provider Horizon Robotics, has
AI Computing for Automotive: The Battle for Autonomy
This market research report was originally published at Yole Développement’s website, and is extracted from the “Artificial Intelligence Computing for Automotive 2020 Report.” It is reprinted here with the permission of Yole Développement. OUTLINES: Who
Forbes Highlights Synaptics’ Vision of Perceptive Intelligence in IoT
This blog post was originally published at Synaptics’ website. It is reprinted here with the permission of Synaptics. Since its inception, Synaptics has always been a leader in how people interact with their machines –
News
Algolux Delivers Performance and Scalability Breakthroughs with Atlas Camera Optimization Suite to Help Accelerate ADAS Adoption
Atlas automatically optimizes camera hardware systems and computer vision models jointly, improving object detection or instance segmentation results by up to 30 mean average precision (mAP) points and reducing effort and time by more than 10x vs. today’s expert manual tuning approaches, addressing a critical need for Tier 1 manufacturers and other vision system providers
VeriSilicon VIP9000 and ZSP are Adopted by iCatch Next Generation AI-powered Automotive Image Processing SoC
VeriSilicon VIP9000 NPU AI processor and ZSPNano DSP IP bring AI-Vision and AI-Voice to low power automotive image processing SoC Shanghai, China, May 12, 2020 – VeriSilicon today announced that iCatch Technology, Inc. (TPEX: 6695), a global leader in low-power and intelligent image processing SoC solutions, has selected VeriSilicon VIP9000 NPU and ZSPNano DSP IP.
AImotive Becomes the Most-funded Automated Driving Software Supplier in Europe
Latest investment round secured despite COVID-19 lockdowns around the world Budapest, Hungary – June 22, 2020 – AImotive, the automated driving technology company, today announced a new investment round of USD 20 million led by Lead Ventures, a Budapest based scale-up investor. With the fresh capital AImotive has become the largest VC-backed company developing automated
Market Analysis
Automotive Lighting: From “Vision” to “Driving Assistance”
Outlines: Automotive lighting market is expected to reach US$38.8 billion by 2024, with 4,9% CAGR between 2018 and 2024. Evolution of lighting technologies enables new functionalities. ADAS vehicles: sensors integration is becoming mandatory. LiDAR integration: OEM s have several requirements at different levels. “Autonomous vehicle technologies have a direct impact on traditional vehicles market and
Global Smart-city Artificial Intelligence Software Revenue Set to Rise Sevenfold by 2025, Spurred by Advancing AI and Connectivity Technologies
Software solutions migrate online to capitalize on AI innovations; video surveillance represents a key driver The advent of 4G and 5G internet of things (IoT)-based connectivity is spurring the online migration of smart-city applications, helping generate a more than sevenfold increase in smart-city artificial intelligence (AI) software revenue by 2025. The global smart-city AI software
Robot Senses: Robots That Can See, Hear, Feel, and More
This market research report was originally published at Omdia | Tractica’s website. It is reprinted here with the permission of Omdia | Tractica. A robot with no way to sense its position or environment is simply an automaton that performs movements blindly. That is changing due to a trend toward adding vision, torque, and other
Blog
Forbes Highlights Synaptics’ Vision of Perceptive Intelligence in IoT
This blog post was originally published at Synaptics’ website. It is reprinted here with the permission of Synaptics. Since its inception, Synaptics has always been a leader in how people interact with their machines – we are known widely as the HMI leader. Our lasting legacy will probably always be around our expertise in touch
New Long-Term Support Release Marks Second Anniversary of Intel Distribution of OpenVINO Toolkit
This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. We’re coming up on the second anniversary of Intel Distribution of OpenVINO toolkit, which makes this the perfect time to look at the past, present, and future of the toolkit that’s helping companies worldwide accelerate the performance
Open Sourcing the AI Model Efficiency Toolkit: Contributing State-of-the-art Compression and Quantization Techniques from Qualcomm AI Research
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. QuIC is excited to open source the AI Model Efficiency Toolkit on GitHub to collaborate with other leading AI researchers and to provide a simple library plugin for AI developers to utilize for state-of-the-art model efficiency performance.
