Computer Sciences
Central pattern generators (CPGs) are biological neural circuits that can produce coordinated rhythmic outputs without requiring rhythmic inputs. CPGs are responsible for most rhythmic motions observed in living organisms, ...
Hardware
Researchers at Tohoku University and the University of California, Santa Barbara, have shown a proof-of-concept of energy-efficient computer compatible with current AI. It utilizes a stochastic behavior of nanoscale spintronics ...
Dec 13, 2023
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111
Machine learning & AI
Many computational properties are maximized when the dynamics of a network are at a 'critical point," a state where systems can quickly change their overall characteristics in fundamental ways, transitioning e.g. between ...
Jul 22, 2020
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38
Machine learning & AI
Researchers at Shanghai University have recently developed a new approach based on recurrent neural networks (RNNs) to predict scene graphs from images. Their approach includes a model made up of two attention-based RNNs, ...
Engineering
By zeroing in on humans' gait, body symmetry and foot placement, University of Michigan researchers are teaching self-driving cars to recognize and predict pedestrian movements with greater precision than current technologies.
Feb 12, 2019
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Consumer & Gadgets
The world produces about 2.5 quintillion bytes of data every day. Storing and transferring all of this enormous—and constantly growing—number of images, videos, Tweets, and other forms of data is becoming a significant ...
May 30, 2019
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Engineering
Modern industries require efficient and reliable machinery. To ensure the stability of industrial equipment and avoid unnecessary downtime, it is important to gauge a machine's remaining useful life (RUL) accurately. This ...
Oct 18, 2022
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106
Machine learning & AI
Researchers at the University of Tsukuba have created a new artificial intelligence program for automatically classifying the sleep stages of mice that combines two popular machine learning methods. Dubbed MC-SleepNet, the ...
Dec 3, 2019
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Computer Sciences
In April 2020, imec introduced the world's first chip to process radar signals using a spiking recurrent neural network (SNN). Its flagship use-case? The creation of a smart, low-power multi-sensor perception system for drones ...
Jun 1, 2021
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Energy & Green Tech
Following the 2011 earthquake in Japan, a tsunami disabled the power supply and cooling in three Fukushima Daiichi Nuclear Power Plant reactors. The reactors' cores largely melted in the first 72 hours.
Aug 4, 2020
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