The outlined proposals got a lift from a series of related corporate announcements, including plans by Google’s DeepMind and Samsung for new Paris labs andFujitsu’s expansion of its existing Paris research center. The news follows announcements from Google and Facebookearlier this year of increased investments in their Paris-based AI labs.
Source: venturebeat.com
Two physicists at ETH Zurich and the Hebrew University of Jerusalem have developed a novel machine-learning algorithm that analyses large data sets describing a physical system and extract from them the essential information needed to understand the underlying physics.
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At Google, we’re excited about the recent rapid progress of neural network-based text-to-speech (TTS) research. In particular, end-to-end architectures, such as the Tacotron systems we announced last year, can both simplify voice building pipelines and produce natural-sounding speech. This will help us build better human-computer interfaces, like conversational assistants, audiobook narration, news readers, or voice design software.
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NVIDIA’s Project Clara, a medical imaging supercomputer, renews the capabilities of these machines in place. Unveiled this week at the GPU Technology Conference, in Silicon Valley, Project Clara takes advantage of incredible advancements in computation.
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