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Flying robotic systems have already proved to be highly promising for tackling numerous real-world problems, including explorations of remote environments, the delivery of packages in inaccessible sites, and searches for survivors of natural disasters. In recent years, roboticists and computer scientists have introduced a multitude of aerial vehicle designs, each with distinct advantages and features.

Researchers at Sharif University of Technology in Iran recently carried out a study exploring the potential of flying with a single wing, known as mono-wing aerial vehicles. Their paper, published in the Journal of Intelligent & Robotic Systems, outlines a new approach that could help to better control the flight of these vehicles as they navigate their surrounding environment.

“Unconventional vehicles inspired by natural phenomena consistently captivate the attention of engineers,” Afshin Banazadeh, one of the researchers who carried out the study, told Tech Xplore. “One such , the mono-wing, a single-bladed aerial vehicle, is no exception.

One of the most promising developments in the fight against cybersecurity threats is the use of artificial intelligence (AI). This cutting-edge technology has the potential to revolutionize the way organizations manage cyberthreats, offering unprecedented levels of protection and adaptability. AI is set to be embedded into every security product, enabling organizations to quickly remediate attacks and stay ahead of the threat landscape. However, bad actors are equally interested in unlocking the power of AI to easily launch sophisticated and targeted attacks.

The convergence of AI and cybersecurity will create opportunities and challenges for organizations. In this blog post, we will delve into the transformative impact that AI will have on cybersecurity, explore its potential to empower organizations to stay ahead of threats, and examine the ways bad actors could use it for their own nefarious purposes.

By harnessing the power of AI while remaining vigilant to its potential misuse, organizations can stay ahead of emerging threats and better protect their valuable applications, APIs, and data.

Earlier this year, two-layer solar cells broke records with 33 percent efficiency. The cells are made of a combination of silicon and a material called a perovskite. However, these tandem solar cells are still far from the theoretical limit of around 45 percent efficiency, and they degrade quickly under sun exposure, making their usefulness limited.

The process of improving tandem solar cells involves the search for the perfect materials to layer on top of each other, with each capturing some of the sunlight the other is missing. One potential material for this is perovskites, which are defined by their peculiar rhombus-in-a-cube crystal structure. This structure can be adopted by many chemicals in a variety of proportions. To make a good candidate for tandem solar cells, the combination of chemicals needs to have the right bandgap—the property responsible for absorbing the right part of the sun’s spectrum—be stable at normal temperatures, and, most challengingly, not degrade under illumination.

The number of possible perovskite materials is vast, and predicting the properties that a given chemical composition will have is very difficult. Trying all the possibilities out in the lab is prohibitively costly and time-consuming. To accelerate the search for the ideal perovskite, researchers at North Carolina State University decided to enlist the help of robots.

LOS ANGELES, Aug 24 (Reuters) — Legendary “Star Trek” actor William Shatner has been spending time exploring the new frontier of artificial intelligence.

The actor best known for playing Captain Kirk on “Star Trek” talked with ProtoBot, a device that combines holographic visuals with conversational AI, and grappled with philosophical and ethical questions about the technology.

“I’m asking ProtoBot questions that ordinarily a computer doesn’t answer,” Shatner told Reuters. “A computer answers two plus two, but does ProtoBot know what love is? Can ProtoBot understand sentience? Can they understand emotion? Can they understand fear?”