Amazon is monitoring its delivery drivers with in-vehicle cameras that alert supervisors to dangerous behavior. The online retail giant rolled out a ceiling-mounted surveillance system that flags drivers who, say, read texts, fail to use seatbelts, exceed the speed limit, or ignore a stop sign.
Amazon is monitoring its delivery drivers with in-vehicle cameras that alert supervisors to dangerous behavior. The online retail giant rolled out a ceiling-mounted surveillance system that flags drivers who, say, read texts, fail to use seatbelts, exceed the speed limit, or ignore a stop sign.
Bayes-optimal algorithms always make the best decisions given their training and input, if certain assumptions hold true. New work shows that some neural networks can approach this kind of performance.
Bayes-optimal algorithms always make the best decisions given their training and input, if certain assumptions hold true. New work shows that some neural networks can approach this kind of performance.
Neural nets could speed up development of new materials.What’s new: A deep learning system from Sandia National Laboratories dramatically accelerated simulations that help scientists understand how changes to the design or fabrication of a material change its properties.
Neural nets could speed up development of new materials.What’s new: A deep learning system from Sandia National Laboratories dramatically accelerated simulations that help scientists understand how changes to the design or fabrication of a material change its properties.
Generative adversarial networks and souped-up language models aren’t the only image generators around. Researchers recently upgraded an alternative known as score-based generative models.
Generative adversarial networks and souped-up language models aren’t the only image generators around. Researchers recently upgraded an alternative known as score-based generative models.
When you’re training a deep learning model, it can take days for an optimization algorithm to minimize the loss function. A new approach could save time.
World models, which learn a compressed representation of a dynamic environment like, say, a video game, have delivered top results in reinforcement learning. A new method makes them much smaller.
When you’re training a deep learning model, it can take days for an optimization algorithm to minimize the loss function. A new approach could save time.
World models, which learn a compressed representation of a dynamic environment like, say, a video game, have delivered top results in reinforcement learning. A new method makes them much smaller.
Helium balloons that beam internet service to hard-to-serve areas are using AI to navigate amid high-altitude winds. Loon, the Alphabet division that provides wireless internet via polyethylene blimps.
Helium balloons that beam internet service to hard-to-serve areas are using AI to navigate amid high-altitude winds. Loon, the Alphabet division that provides wireless internet via polyethylene blimps.
Will international rivalries fragment international cooperation in machine learning? Countries competing for AI dominance will lash out at competitors.
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