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.

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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