AIMC Journal:
Nature
Showing 481 to 490 of 496 articles
Science, technology and the future of small autonomous drones.
Nature
May 28, 2015
We are witnessing the advent of a new era of robots - drones - that can autonomously fly in natural and man-made environments. These robots, often associated with defence applications, could have a major impact on civilian tasks, including transporta...
Probabilistic machine learning and artificial intelligence.
Nature
May 28, 2015
How can a machine learn from experience? Probabilistic modelling provides a framework for understanding what learning is, and has therefore emerged as one of the principal theoretical and practical approaches for designing machines that learn from da...
Reinforcement learning improves behaviour from evaluative feedback.
Nature
May 28, 2015
Reinforcement learning is a branch of machine learning concerned with using experience gained through interacting with the world and evaluative feedback to improve a system's ability to make behavioural decisions. It has been called the artificial in...
Deep learning.
Nature
May 28, 2015
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visua...
Machine intelligence.
Nature
May 28, 2015
Robotics: Ethics of artificial intelligence.
Nature
May 28, 2015
Training and operation of an integrated neuromorphic network based on metal-oxide memristors.
Nature
May 7, 2015
Despite much progress in semiconductor integrated circuit technology, the extreme complexity of the human cerebral cortex, with its approximately 10(14) synapses, makes the hardware implementation of neuromorphic networks with a comparable number of ...
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