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Emerson and BayoTech partner to scale production and distribution of low-cost, modular SMRs for hydrogen production

Green Car Congress

Emerson will deliver advanced automation technologies, software and products to enable BayoTech to build hundreds of hydrogen units. BayoTech’s patented technology requires less feedstock, which means fewer carbon emissions and less cost to produce hydrogen than traditional reformers, the company says.

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DOE To Award $104.7M to Establish Research and Testing Facilities for Carbon Fiber Manufacturing, Advanced Batteries, and Net-Zero Energy Building Technology

Green Car Congress

Specifically, the funding will go toward reducing the production cost of carbon fiber manufacturing, to help in reducing the weight of vehicles; improved efficiency and lower costs for car batteries; and net-zero energy building technologies. Sandia National Laboratories (Albuquerque, NM) will receive $4.2

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Obama Administration launches series of actions to accelerate EV adoption; inc. $4.5B in loan guarantees, pursuing 350 kW fast charge

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The Standard for High Performance Green Buildings will consider a revision to encourage EV-ready building practices. a standard for high performance green buildings that in 2018 will become the basis for the International Green Construction Code. Expanding DOE’s Workplace Charging Challenge.

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DOE announces more than $65M in public and private funding to commercialize promising energy technologies

Green Car Congress

The US Department of Energy (DOE) announced more than $30 million in federal funding, matched by more than $35 million in private sector funds, for 68 projects that will accelerate the commercialization of promising energy technologies—ranging from clean energy and advanced manufacturing, to building efficiency and next-generation materials.

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Fast, Efficient Neural Networks Copy Dragonfly Brains

Cars That Think

In my research at Sandia National Laboratories in Albuquerque, I study the brains of one of these larger insects, the dragonfly. Recent estimates suggest that the carbon emissions resulting from developing and training a natural-language processing algorithm are greater than those produced by four cars over their lifetimes.

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