Attempting to address the memory bandwidth problem, the QUEST neural processor uses 3D-stacked SRAM dies along with ThruChip Interface wireless communication technology to deliver sufficiently high bandwidth to sustain peak processing performance.
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Going after the growing intelligent IoT market, Qualcomm is introducing a new Vision Intelligence Platform for accelerating camera vision processing in smart IoT applications.
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A look at Intel’s tiny intelligent IoT edge mote operating at near-threshold voltage and harvesting solar energy for charging. Equipped with sensors and an SoC with hardware to accelerate convolutional neural networks (CNNs), the chip collects environmental sensory data and captures images which are classified on-chip and sent to a data center in order to improve and optimize agricultural fields.
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The RISC-V momentum continues with the the launch of the GAP8, an IoT/AI ultra-low power application processor by GreenWaves, a France-based startup. The chip is designed for lengthy autonomous battery-powered edge/IoT inference operations.
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Fujitsu launches a new deep learning accelerator PCIe card specifically for accelerating inference for edge computers for industrial equipment.
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Exiting stealth mode, Esperanto, a small start-up lead by Dave Ditzel has unveiled their high-performance RISC-V cores they have been working on. Their first product will be a 4,096-core manycore processor designed for accelerating AI workloads.
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This morning Intel quietly released three Xeon Phi SKUs up to 72 cores based on Knights Mill, a Deep Learning specific derivative of Knights Landing.
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The ASIC Bitcoin design company Bitmain has announced they are entering the AI market with their new custom design BM1680 neural processor which will be at the heart of the new Sophon family of AI PCIe accelerator cards and full servers.
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