Archive for February 2024

Soft inflatable robots have emerged as a promising solution for applications that require both safety and adaptability. However, integrating sensing and control systems into these robots has been a challenge without compromising their soft and flexible nature. To address this issue, a collaborative research team led by Professor Jiyun Kim from the Department of New…

The UK and Israel are set to sign an innovation and tech collaboration agreement aimed at fostering joint tech projects and advanced research areas, including quantum computing. The deal, which follows a meeting between science ministers in London, will involve a commitment of £1.7 million in support for collaborative tech initiatives. The agreement aligns with…

Researchers have extended their earlier work on soft robots by creating a “brainless” version capable of navigating more complex and dynamic environments independently. The soft robot uses physical intelligence, relying on its structural design and material properties rather than computer or human guidance. The soft robot is constructed from ribbon-like liquid crystal elastomers. When placed…

A groundbreaking revelation in the field of hydrogen generation has emerged, leaving experts astounded by the unexpected capabilities of graphene. This discovery, hailing from collaborative efforts between the University of Warwick and the University of Manchester, could hold the key to a more affordable and sustainable hydrogen economy. Recent research has unveiled an astonishing property…

The era of artificial intelligence (AI) chatbots that appear to understand and use language in a human-like manner has dawned. These chatbots rely on large language models, a type of neural network. However, a recent study has revealed a vulnerability in these large language models, as they can sometimes mistake nonsense for natural language. Researchers…

Researchers from the University of Cambridge and Cornell University have made a breakthrough in developing Machine Learning models capable of comprehending complex equations in real-world scenarios with significantly less training data than previously thought necessary. Their discovery particularly applies to partial differential equations (PDEs), a class of physical equations that describe how natural phenomena evolve…