Top machine learning (ML) and deep learning (DL) stories from last week, plus new content from Friday and the weekend.
Note to readers: Big Analytics is now ML/DL.
ICYMI: Top Stories of Last Week
— In the Washington Post, Brian Fung reports that China has eclipsed the US in AI research.
— Google DeepMind trains AI to navigate London’s Tube. PR blitz ensues. In MIT Technology Review, Will Knight describes the technology involved. Daily Mail reports, with pictures. In TechCrunch, John Mannes explains.
— Liam Tung describes the work of researchers at Google Brain who seek to develop a methodology that will reduce or eliminate unlawful bias in prediction algorithms.
— Reinhardt Krause profiles NVIDIA, noting its consistent, sustained leadership and strategy. A licensing agreement between NVIDIA and Intel may expire next year, provoking an all-out war in the high-performance computing market. Merrill Lynch is bullish on NVIDIA.
— Meanwhile, Tesla claims 222 million miles for its ML-driven Autopilot capability.
— California law now forbids automakers from advertising driver assistance features as “self-driving”, “automated” or “auto-pilot” unless the vehicle qualifies as level 3, 4 or 5 under SAE guidelines. Tesla is now under court order to stop advertising its Autopilot feature as such.
— In MIT Technology Review, Will Knight profiles MobileEye, a startup that markets vision recognition technology with embedded deep learning. MobileEye and Tesla parted ways recently after a Tesla operating on AutoPilot hit a truck.
— BMW, Toyota, and Allianz invest in Nauto, a startup that markets technology that turns a fleet of vehicles into a self-learning network. Nauto’s technology package combines an in-vehicle camera, sensor hardware, a smart network and a continuously learning cloud to deliver a full, contextual view of vehicle and driver behavior.
— Huawei and the Berkeley Artificial Intelligence Research Lab announce a partnership for research into computer vision, machine learning, natural language processing, robotics and research planning. According to TechCrunch, Huawei will invest $1 million in the effort.
— Fujitsu announces the development of a GPU memory system that will enable more layers in a deep neural network without compromising speed.
— Adapteva announces the Epiphany-V processor with 1,024 64-bit cores.
— David Colquhoun explains the problem with p-values.
— In KDnuggets, Matthew Mayo explains key concepts in artificial neural networks and deep learning.
— On Wall Street, machine learning replaces market makers.
— Lexumo uses graph analytics and machine learning to identify security vulnerabilities in open source software.
— Researchers use computer vision and machine learning to assess learning difficulties in children.
— AMD, Dell EMC, Google, HPE, IBM, Mellanox, Micron, NVIDIA, and Xilinx launch the OpenCAPI Consortium, and industry group to promote specs for the next generation of data center hardware.
— ML-driven local language app Dailyhunt lands a $25 million “D” round of financing.