Sixth-generation, or 6G, cellular networks are the next step in wireless communication, and electromagnetic terahertz waves are seen as crucial to its development. However, terahertz waves, with their higher frequency and shorter wavelength, are subject […]
Artificial Intelligence of Things (AIoT), which combines the advantages of both Artificial Intelligence and Internet of Things technologies, has become widely popular in recent years. In contrast to typical IoT setups, wherein devices collect and […]
A new form of energy-efficient artificial vision system inspired by the human brain and made in part using honey could help reduce the impact of electronic waste.This article was originally published on this website.
Extraterrestrial landers sent to gather samples from the surface of distant moons and planets have limited time and battery power to complete their mission. Aerospace and computer science engineering researchers at The Grainger College of […]
The rapid advancement of the electronics industry is opening new possibilities for the development of increasingly advanced device components, including displays. Many of the most widely used and highly performing displays developed to date are […]
How much energy is consumed each time we upload an image to social media, which relies on data centers and cloud storage? Data centers currently account for about 1% of global energy consumption, amounting to […]
As 5G and 6G networks expand, they promise a future of incredibly fast and reliable wireless connections. A key technology behind this is millimeter-wave (mmWave), which uses very high-frequency radio waves to transmit huge amounts […]
University of Guelph (U of G) researchers have developed a slime-like material that produces electricity when compressed. When the team studied their prototype using the Canadian Light Source (CLS) at the University of Saskatchewan, they […]
Over the past decades, computer scientists have created increasingly advanced artificial intelligence (AI) models, some of which can perform similarly to humans on specific tasks. The extent to which these models truly “think” and analyze […]
A particular set of probabilistic inference algorithms common in robotics involve Sequential Monte Carlo methods, also known as “particle filtering,” which approximates using repeated random sampling. (“Particle,” in this context, refers to individual samples.) Traditional […]
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