8m autonomous vehicles by 2025

ABI Research expects eight million consumer vehicles shipping in 2025 will feature SAE Level 3 and 4 technologies, where drivers will still be necessary but are able to completely shift safety-critical functions to the vehicle under certain conditions, and SAE Level 5 technology, where no driver will be required at all.

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Canon Medical Systems accelerates deep learning in healthcare with NVIDIA DGX

Canon Medical Systems will use NVIDIA DGX systems to process large volumes of medical data generated by Abierto VNA, its proprietary, in-house, medical data management system launched in January.

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Gaming and VR focus at Computex

With the global gaming market expected to touch US$128.5 billion in 2020, this year’s Computex will have gaming and virtual reality (VR) as a focus area, alongside artificial intelligence (AI), 5G, blockchain, Internet of Things, and innovations and startups.

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Doogee unleashes 4 innovative smartphones

Shenzhen-based Doogee is not one for the humdrum. While most other smartphones sport mostly similar technologies, this maker has decided to go for the different feel with four new phones — the transparent Doogee TT, flip camera Mix 3, slide phone Mix 4, and flexible screen phone.

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Leadtek releases NVIDIA Quadro GV100 for workstations

Leadtek has released the Volta-based NVIDIA Quadro GV100 with 32GB of HBM2 memory, delivering more than 40 percent the double precision compute performance and over 2.5 times the deep learning procession performance of the previous-generation Quadro GP100.

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H2O.ai optimises Driverless AI and H2OGPU for NVIDIA

H2O.ai has announced that its Driverless AI automated machine learning platform and H2O4GPU open source GPU-accelerated machine learning package are now both fully optimised for the latest-generation NVIDIA Volta architecture GPUs — the NVIDIA Tesla V100 — and CUDA 9 software.

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IoT goes deep

Arm is taking its recently-announced Project Trillium a step further with a collaboration with NVIDIA. The partners will bring the open-source NVIDIA Deep Learning Accelerator (NVDLA) architecture into Project Trillium platform for machine learning.

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