Month: March 2023

The case for building Scalable Neuromorphic Networks is this: like humans, smarter chips have a larger, tighter neural network. Indeed, neural networks are the current state-of-the-art for machine learning. This isn’t robotics, where a non-sentient […]

Everyone is talking about the newest AI and the power of neural networks, forgetting that software is limited by the hardware on which it runs. But it is hardware, says USC Professor of Electrical and […]

Many homes have electronic timers for automatically turning lights on or off automatically the same time each day. However, the precise control of larger electrical devices requires more sophisticated electronics. Scientists from the Institute of […]

Attackers have the ability not only to manipulate software, but also to tamper with the hardware. A team from Bochum is devising methods to detect such tampering.This post was originally published on this site.

In a recent paper published in Nature Reviews Physics, Professor Richard Brown and Dr. Nick Martin, discuss how the standardization of ‘low-cost’ air quality monitors can help measure pollution.This post was originally published on this […]

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, including drug discovery, social […]

A team of researchers from the Department of Energy’s Oak Ridge National Laboratory has created a prototype system for detecting and geolocating damaged utility poles in the aftermath of natural disasters such as hurricanes.This post […]