Engineering
Researchers have developed a rechargeable lithium-ion battery in the form of an ultra-long fiber that could be woven into fabrics. The battery could enable a wide variety of wearable electronic devices, and might even be ...
Dec 20, 2021
0
623
Electronics & Semiconductors
We are currently witnessing an explosion of network traffic. Numerous emerging services and applications, such as cloud services, video streaming platforms and the Internet of Things (IOT), are further increasing the demand ...
Computer Sciences
From phone camera snapshots to lifesaving medical scans, digital images play an important role in the way humans communicate information. But digital images are subject to a range of imperfections such as blurriness, grainy ...
Dec 5, 2017
0
694
Electronics & Semiconductors
For years, the idea of 6G was thought to be science fiction. Now, it's closer than ever before, but Josep Jornet, an associate professor of electrical and computer engineering at Northeastern, says there's still room for ...
Jan 4, 2023
6
653
Electronics & Semiconductors
Virtual reality (VR), augmented reality (VR) and extended reality (XR) technologies allow users to experience digital content in unique and immersive ways. These technologies primarily rely on the use of headsets, glasses ...
Business
Researchers from Lawrence Livermore National Laboratory (LLNL) have devised a physics-based cryptocurrency that links electrical energy and blockchain technologies in a new way.
Jun 13, 2022
5
96
Security
Tired of Siri or Google Assistant draining your phone battery?
Nov 13, 2020
0
41
Computer Sciences
EPFL researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning hardware.
Dec 7, 2023
0
101
Engineering
Analog electronics are electronic systems that operate with currents and voltages that continuously change over time, rather than switching only between two levels, like digital electronics. Most existing analog devices are ...
Hardware
Graph neural networks (GNNs) are promising machine learning architectures designed to analyze data that can be represented as graphs. These architectures achieved very promising results on a variety of real-world applications, ...
