Electronics & Semiconductors
Deep neural networks are generating much of the exciting progress stemming from generative AI. But their architecture relies on a configuration that is a virtual speedbump, ensuring the maximal efficiency can not be obtained.
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
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669
Engineering
Combining new classes of nanomembrane electrodes with flexible electronics and a deep learning algorithm could help disabled people wirelessly control an electric wheelchair, interact with a computer or operate a small robotic ...
Sep 20, 2019
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1239
Computer Sciences
Deep learning systems are revolutionizing technology around us, from voice recognition that pairs you with your phone to autonomous vehicles that are increasingly able to see and recognize obstacles ahead. But much of this ...
Jul 28, 2020
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105
Computer Sciences
When the human brain learns something new, it adapts. But when artificial intelligence learns something new, it tends to forget information it already learned.
Feb 3, 2022
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1007
Computer Sciences
About a decade ago, deep-learning models started achieving superhuman results on all sorts of tasks, from beating world-champion board game players to outperforming doctors at diagnosing breast cancer.
Jul 22, 2022
1
230
Electronics & Semiconductors
Supercomputers are extremely fast, but also use a lot of power. Neuromorphic computing, which takes our brain as a model to build fast and energy-efficient computers, can offer a viable and much-needed alternative. The technology ...
Apr 12, 2022
0
280
Robotics
Connecting artificial intelligence systems to the real world through robots and designing them using principles from evolution is the most likely way AI will gain human-like cognition, according to research from the University ...
Jun 12, 2023
1
443
Electronics & Semiconductors
Researchers at Nanyang Technological University and University of Technology Sydney have recently developed a machine learning architecture that can recognize human gestures by analyzing images captured by stretchable strain ...
Engineering
Researchers have found that variability between brain cells might speed up learning and improve the performance of the brain and future AI.
Oct 6, 2021
0
327
