Cornell University researchers have developed a new robotic framework powered by artificial intelligence—called RHyME (Retrieval for Hybrid Imitation under Mismatched Execution)—that allows robots to learn tasks by watching a single how-to video.

A team of researchers from the Institute for Basic Science, Yonsei University, and the Max Planck Institute have developed a new artificial intelligence (AI) technique that brings machine vision closer to how the human brain processes images. Called Lp-Convolution, this method improves the accuracy and efficiency of image recognition systems while reducing the computational burden of existing AI models.

A large-scale study led by Bilal Farooq, civil engineering professor at Toronto Metropolitan University (TMU), is the first of its kind to use virtual reality (VR) to study pedestrian interactions and street crossing behaviors. The research pioneers the use of neurophysiological sensors to better understand pedestrian experiences in urban environments. The work is published in the journal Transportation Research Part C: Emerging Technologies.

The world is facing a "silver tsunami"—an unprecedented aging of the global workforce. By 2030, more than half of the labor force in many EU countries will be aged 50 or above. Similar trends are emerging across Australia, the US and other developed and developing economies.

A group of computer scientists at Microsoft Research, working with a colleague from the University of Chinese Academy of Sciences, has introduced Microsoft's new AI model that runs on a regular CPU instead of a GPU. The researchers have posted a paper on the arXiv preprint server outlining how the new model was built, its characteristics and how well it has done thus far during testing.

Step by mechanical step, dozens of humanoid robots took to the streets of Beijing early Saturday, joining thousands of their flesh-and-blood counterparts in a world-first half marathon showcasing China's drive to lead the global race in cutting-edge technology.

AI models often rely on "spurious correlations," making decisions based on unimportant and potentially misleading information. Researchers have now discovered these learned spurious correlations can be traced to a very small subset of the training data and have demonstrated a technique that overcomes the problem. The work has been published on the arXiv preprint server.

Programmers can now use large language models (LLMs) to generate computer code more quickly. However, this only makes programmers' lives easier if that code follows the rules of the programming language and doesn't cause a computer to crash.

Creativity is no longer exclusive to humans. Some forms of artificial intelligence are capable of producing poetry, entrepreneurial concepts, even visual art. Many people use large language models (LLMs) such as ChatGPT, which are trained on vast amounts of text, for co-creation: The artificial intelligence offers ideas and suggestions, while the human provides guidance, context, and direction.

As television grew rapidly in popularity in the second half of the 20th century, many people assumed it would cause a knock-on crisis for the film industry. After all, it meant that viewers no longer had to leave their sofas to enjoy onscreen entertainment.