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SpaceX Starship HeatShield Solution
One Million Signatures For French Immigration Referendum
Man Faces Potential Attempted Murder Charge In France After Stabbing Home Intruder
Report: Older Man Initially Arrested After Kirk Shooting Confessed to Distracting Police...
We finally integrated the tiny brains with computers and AI
Stylish Prefab Home Can Be 'Dropped' into Flooded Areas or Anywhere Housing is Needed
Energy Secretary Expects Fusion to Power the World in 8-15 Years
ORNL tackles control challenges of nuclear rocket engines
Tesla Megapack Keynote LIVE - TESLA is Making Transformers !!
Methylene chloride (CH2Cl?) and acetone (C?H?O) create a powerful paint remover...
Engineer Builds His Own X-Ray After Hospital Charges Him $69K
Researchers create 2D nanomaterials with up to nine metals for extreme conditions
Laser connects plane and satellite in breakthrough air-to-space link
Lucid Motors' World-Leading Electric Powertrain Breakdown with Emad Dlala and Eric Bach
Google and Wave Computing have working silicon and are conducting customer trials.
* Wave Computing says its 3U deep learning server can train AlexNet in 40 minutes, three times faster than NVIDIA's P100 DGX-1 server.
* Wave Computing's claim that its TPU is 1000 times faster.
* NVIDIA has improved the architectural efficiency of its GPUs by roughly 10x over the last few years
Chinese AI chip startup has received $100 million in funding.
Cambricon Technologies aims to have one billion smart devices using its AI processor and own 30% of China's high-performance AI chip market in three years.
Huawei estimates Cambricon chips are six times faster for deep-learning applications like training algorithms to identify images than a GPU.