Computer Sciences
Machine learning techniques are designed to mathematically emulate the functions and structure of neurons and neural networks in the brain. However, biological neurons are very complex, which makes artificially replicating ...
Robotics
Computer scientists at TU Wien (Vienna) are improving artificial intelligence by drawing inspiration from biology. The new approaches achieve amazing results with surprisingly little effort.
Oct 22, 2018
0
2143
Machine learning & AI
Artificial intelligence developed to model written language can be utilized to predict events in people's lives. A research project from DTU, University of Copenhagen, ITU, and Northeastern University in the US shows that ...
Dec 18, 2023
1
191
Robotics
Neurons, specialized cells that transmit nerve impulses, have long been known to be a vital element for the functioning of the human brain. Over the past century, however, neuroscience research has given rise to the false ...
Computer Sciences
As artificial intelligence and deep learning techniques become increasingly advanced, engineers will need to create hardware that can run their computations both reliably and efficiently. Neuromorphic computing hardware, ...
Computer Sciences
Rice University computer scientists have overcome a major obstacle in the burgeoning artificial intelligence industry by showing it is possible to speed up deep learning technology without specialized acceleration hardware ...
Mar 2, 2020
0
999
Computer Sciences
Advances in artificial-intelligence-based technologies have led to an astronomical increase in the amounts of data available for processing by computers. Existing computing methods often process data sequentially and therefore ...
Sep 23, 2021
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330
Computer Sciences
Researchers at Heidelberg University and University of Bern have recently devised a technique to achieve fast and energy-efficient computing using spiking neuromorphic substrates. This strategy, introduced in a paper published ...
Computer Sciences
An international group of researchers has made a decisive step towards creating the technology to achieve simulations of brain-scale networks on future supercomputers of the exascale class. The breakthrough, published in ...
Mar 5, 2018
0
669
Machine learning & AI
A team of researchers at Queen's University, in Canada, have recently proposed a new method to downsize random recurrent neural networks (rRNN), a class of artificial neural networks that is often used to make predictions ...
