Echo state graph neural networks with analogue random resistive memory arrays
Graph neural networks have been widely used for studying social networks, e-commerce, drug predictions, human-computer interaction, and more.
Mar 1, 2023
0
71
Hardware
Page 4 - News tagged with energy network
Robotics
Animal-brain-inspired AI game changer for autonomous robots
A team of researchers at Delft University of Technology has developed a drone that flies autonomously using neuromorphic image processing and control based on the workings of animal brains. Animal brains use less data and ...
May 15, 2024
0
11
Energy & Green Tech
Scientists create high-efficiency sustainable solar cells for IoT devices with AI-powered energy management
Newcastle University researchers have created environmentally-friendly, high-efficiency photovoltaic cells that harness ambient light to power internet of Things (IoT) devices.
Apr 13, 2023
0
92
Machine learning & AI
Brain-inspired learning algorithm realizes metaplasticity in artificial and spiking neural networks
Catastrophic forgetting, an innate issue with backpropagation learning algorithms, is a challenging problem in artificial and spiking neural network (ANN and SNN) research.
Sep 1, 2023
0
107
Computer Sciences
Biologically plausible spatiotemporal adjustment helps train deep spiking neural networks
Spiking neural networks (SNNs) capture the most important aspects of brain information processing. They are considered a promising approach for next-generation artificial intelligence. However, the biggest problem restricting ...
Jun 2, 2022
0
252
Machine learning & AI
Artificial intelligence is becoming sustainable
A research group from Politecnico di Milano has developed a new computing circuit that can execute advanced operations, typical of neural networks for artificial intelligence, in one single operation.
Feb 13, 2020
0
18
Energy & Green Tech
Renewable energy won't make Bitcoin 'green,' but tweaking its mining mechanism might
The cryptocurrency Bitcoin is known for its massive energy footprint. Now, researcher Alex de Vries, from PricewaterhouseCoopers (PwC) in the Netherlands, suggests that renewable hydropower production cannot supply the large ...
Mar 14, 2019
4
129
Engineering
Neuromorphic controllers to enhance control during landing in micro air vehicles
Flying insects are able to navigate their environments efficiently, processing visual stimuli to avoid obstacles and land safely on a variety of surfaces. Over the past decade or so, research teams worldwide have been trying ...
Robotics
Trotting robots reveal emergence of animal gait transitions
A four-legged robot trained with machine learning by EPFL researchers has learned to avoid falls by spontaneously switching between walking, trotting, and pronking—a milestone for roboticists as well as biologists interested ...
Apr 30, 2024
0
90
Energy & Green Tech
Neural networks being used to improve the performance of high-power wind turbines
Research at the Vitoria-Gasteiz Faculty of Engineering of the UPV/EHU has used convolutional neural networks to predict airflow characteristics in the aerodynamic profiles of high-power wind turbines, and has shown that flow ...
Aug 8, 2022
0
60
