As demand grows for AI solutions that process images from cameras and other photo sensors, more efficient systems are needed. Like NVIDIA and others before it and drawing on its mobile technology developments, chip maker Qualcomm has unveiled an R&D project that reduces the compute power needed to handle visual AI, in turn reducing the […]
Researchers at the University of Trento, the Institut Polytechnique de Paris, and Snap, Inc. have devised an AI system that uses a framework they call Clustering for Action Decomposition and DiscoverY (CADDY) to learn a set of discrete actions from a large library of video clips that can be used to create new “playable” videos […]
Gartner estimates that 37% of all organisations are using AI in anger today and predicts that that number will double to 75% by 2024. To maintain its competitive edge using detailed analysis of every aspect of its operations, one large US supermarket chain alone currently generates 2.5 petabytes of data A DAY! AI processes require […]
The Times has recently reported that, hot on the heels of the announcement of a new Centre of Excellence in Cambridge, NVIDIA has revealed that it is to site its powerful new AI-focused supercomputer at the KAO Data Centre in Harlow, Essex. Cambridge-1, as it is known, which will spend a lot of its time […]
Machine learning research is an expensive and energy-hungry business. Training a machine learning model can generate carbon emissions equivalent to building and driving five cars over their lifetimes. But why? Artificial neural networks learn by adjusting weights of parameters and connections until an output matches an answer; for example, an algorithm can play a game […]
In “a significant step forward in the pursuit of general-purpose algorithms” that “are able to deal with the messiness and complexity of the real world”, Google DeepMind‘s new reinforcement learning algorithm, MuZero, which like its predecessor AlphaGo uses lookahead search, can achieve superhuman levels of prowess at Go, chess and video games without any prior […]