Bits and Bytes

  • Microsoft and Adaptive Biotechnologies want to decode the human immune system. The partners aim to create individual disease diagnostics, and ultimately a universal diagnostic, from a simple blood test using immunosequencing and machine learning. In other Microsoft news, the company is launching a $33 million AI hub in Taiwan. Microsoft will collaborate on AI research with a range of Taiwanese entities including government agencies, private sector, and academia.
  • Intel brings AI tech to the Ferrari Challenge. Intel unveiled this deep computer vision application at CES, which uses fine-grained object detection to enable the personalization of race video streams. Stay tuned for my interview with the team’s lead data scientist in our upcoming CES coverage.
  • Volkswagen and NVIDIA partner on autonomous vehicles. At the opposite end of the automotive and chip architecture spectra, the two companies announced plans to bring autonomous driving and AI-powered safety features to future cars, and unveiled the new I.D. Buzz concept which brings AI technology to the iconic VW MetroBus design.
  • MediaTek launches cross-platform AI tech for consumer devices. Not to be left out, system-on-chip provider MediaTek is building out its NeuroPilot AI platform targeting consumer device manufacturers like Amazon, Belkin and Sony. The company also recently rolled out the Sensio 6-in-1 biosensor module that can track heart rate, blood pressure, peripheral oxygen saturation levels and more.
  • DeepAR algorithm gives Amazon SageMaker new time-series capabilities.AWS added DeepAR support to its recently released SageMaker platform. The DeepAR algorithm is a supervised machine learning algorithm for forecasting using time-series data using recurrent neural networks (RNNs).
  • Uber and Google explore “doubt” in deep AI systems. Interesting article the new crop of deep probabilistic programming tools including Uber’s Pyro and Columbia’s Edward.
  • Unbabel nabs $23 million investment from Microsoft, Salesforce, Samsung for its translation software. Unbabel utilizes natural language processing, neural machine translation and quality estimation algorithms to bring greater accuracy to their translations.

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