Bits & Bytes – 10.4.18

1024 1024 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Bits & Bytes

  • Researchers develop AI to detect musical mood. Deezer researchers have developed a deep learning system which can identify the mood and intensity of songs based on audio and lyrics.
  • Microsoft announces automated machine learning service. The new service aims to identify the best machine learning pipeline for the user’s labeled data. Automated ML is integrated with Azure Machine Learning and includes an SDK for integration with Python development environments including Visual Studio Code, PyCharm, Azure Databricks notebooks and Jupyter notebooks.
  • Microsoft contributes $40 million for humanitarian AI. Microsoft launched a new $40-million program aimed at harnessing the power of AI for humanitarian action. The program targets causes such as disaster recovery, helping children, and protecting refugees.
  • Microsoft features Shell industrial AI use cases. Early in his Ignite keynote, Microsoft CEO Satya Nadella highlighted work by Microsoft and Bonsai, which it acquired earlier this year, performed at Shell. The join work aims to enhance safety by applying AI and IoT in a number of areas including at retail gas stations.
  • DeepMind outlines Technical AI Safety program. Interesting post by Google DeepMind researchers outlining the key tenets—specification, robustness, and assurance—of their AI safety research program.
  • AI’s new muse: our sense of smell. Artificial neural networks have been loosely inspired by the brain, specifically the visual cortex. This article describes recent work being done to draw inspiration from our olfactory circuits as well.

 

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