Bits & Bytes

Microsoft open sources Bing vector search.

Intel makes progress toward optical neural networks.

Microsoft research demonstrates realistic speech with little labeled training data.

Google deep learning model demonstrates promising results in detecting lung cancer.

  • The system demonstrated the ability to detect lung cancer from low-dose chest computed tomography imagery, outperforming a panel of radiologists. Researchers trained the system on more than 42,000 CT scans. The resulting algorithms turned up 11% fewer false positives and 5% fewer false negatives than their human counterparts.

Facebook open-sources Pythia for multimodal vision and language research.

  • Pythia [Github] [arXiv] is a deep learning framework for vision and language multimodal research framework that helps researchers build, reproduce, and benchmark models. Pythia is built on PyTorch and designed for Visual Question Answering (VQA) research, and includes support for multitask learning and distributed training.

Facebook unveils what secretive robotics division is working on.

  • The company outlined some of the focus areas for its robotics research team, which include teaching robots to learn how to walk on their own, using curiosity to learn more effectively, and learning through tactile sensing.

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