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QM Power and University of Kentucky demonstrate 50 kW/liter electric motor; DOE 2025 power density goal

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QM Power and the SPARK Lab at University of Kentucky shared the combined results of a large-scale, multi-objective design optimization study, and lab testing of a prototype motor designed to meet the 2025 power density goals set by the US Department of Energy (DOE). An open frame lab prototype was designed and manufactured by QM Power.

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GigaDevice’s automotive flash memory achieves 100M units shipment milestone

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China-based GigaDevice Semiconductor, a manufacturer of flash memory, 32-bit microcontrollers (MCUs), sensors, and analog technology, has shipped 100 million units of its leading automotive-grade (AEC-Q100) GD25/55 SPI NOR and GD5F SPI NAND flash series.

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Georgia Tech researchers develop aluminum-foil-based anodes for all-solid-state Li-ion batteries

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Woodruff School of Mechanical Engineering and the School of Materials Science and Engineering, is using an aluminum-foil-based anode in a solid-state Li-ion battery to create batteries with higher energy density and greater stability. The new battery system is detailed in an open-access paper in Nature Communications. —Liu et al.

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Peugeot Shows Two HYbrid4 Concepts, New BB1 EV Concept at Frankfurt

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It features a new generation ECCS (Extreme Conventional Combustion System) combustion chamber; a variable-geometry low-inertia turbocharger; and a high-pressure pump with a maximum pressure of 2000 bar combined with a common rail and solenoid injectors with 8 apertures. It accelerates from 0 to 30 km/h (19 mph) in 2.8

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Freescale introduces new automotive microcontrollers; streamlining body electronics networks and reducing vehicle weight

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At Electronica China in Shanghai, Freescale Semiconductor introduced a new Qorivva vehicle body gateway network microcontroller (MCU) and two new S12 MagniV end-node devices to address increasing requirements for higher bandiwdth automotive networks, improved data security, increased functional safety and reduction of overall energy consumption.

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NVIDIA introduces new Tesla P100 GPU accelerator for deep learning, HPC applications; NVIDIA DGX-1 deep learning supercomputer

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16nm FinFET for unprecedented energy efficiency. It is engineered to deliver the fastest performance and best energy efficiency for workloads with near-infinite computing needs. ECC protection for increased reliability. It is also expected to be available beginning in early 2017 from leading server manufacturers.

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