Carnegie Mellon University and the University of Pittsburgh will accelerate innovation and public-private collaboration through a pair of joint technology centers with NVIDIA.
Claire chatted to Matt Beane from the University of California, Santa Barbara about how humans can learn to work with intelligent machines.
Matt Beane conducts field research on robots and AI in the workplace, focusing on positive exceptions applicable to the broader world of work. He has published his award-winning research in top management journals and presented on the TED stage. He’s been recognized as a Human-Robot Interaction Pioneer and named to the Thinkers50 Radar list. Matt is an assistant professor in the Technology Management department at the University of California, Santa Barbara, and a Digital Fellow with Stanford’s Digital Economy Lab and MIT’s Initiative on the Digital Economy.
A new computer simulation of how our brains develop and grow neurons has been built. Along with improving our understanding of how the brain works, researchers hope that the models will contribute to neurodegenerative disease research and, someday, stem cell research that helps regenerate brain tissue.
Though Europe is perceived as lagging behind in areas like cloud computing, infrastructure, chip manufacturing, and AI—particularly in creating large language models (LLMs)—it is not solely the regulations that account for these delays.
In recent years, roboticists have developed a wide range of systems designed to tackle various real-world tasks, ranging from completing household chores to delivering packages or finding target objects in delineated environments.
Using mechanisms inspired by nature to create new technological innovations is a signature of one Virginia Tech research team. The group led by Associate Professor Michael Bartlett has created an octopus-inspired adhesive, inspired by the shape of octopus suckers, that can quickly grab and controllably release challenging underwater objects.
New artificial intelligence models for plasma heating can do more than was previously thought possible, not only increasing the prediction speed 10 million times while preserving accuracy but also correctly predicting plasma heating in cases where the original numerical code failed.
Scientists have developed and successfully tested a new chatbot based on artificial intelligence: 'UroBot' was able to answer questions from the urology specialist examination with a high degree of accuracy, surpassing both other language models and the accuracy of experienced urologists. The model justifies its answers in detail based on the guidelines.
Researchers have developed a soft robotic 'finger' with a sophisticated sense of touch that can perform routine doctor office examinations, including taking a patient's pulse and checking for abnormal lumps.
Researchers at the University of Science and Technology of China have developed a soft robotic "finger" with a sophisticated sense of touch that can perform routine doctor's office examinations, including taking a patient's pulse and checking for abnormal lumps. This work was published October 9 in Cell Reports Physical Science.
The new plant in northwest Morocco is intended to be a model for energy optimization, while simultaneously significantly increasing Stellantis’ production capacity for battery-powered vehicles and hybrid models.
The award recognizes their work developing AlphaFold, a groundbreaking AI system that predicts the 3D structure of proteins from their amino acid sequences.
Engineers have worked out how to give robots complex instructions without electricity, which could free up more space in the robotic 'brain' for them to 'think'. Mimicking how some parts of the human body work, researchers have transmitted a series of commands to devices with a new kind of compact circuit, using variations in pressure from a fluid inside it.
Engineers have worked out how to give robots complex instructions without electricity for the first time, which could free up more space in the robotic 'brain' for them to 'think.'
Researchers from Tampere University in Finland and Anhui Jianzhu University in China have made a significant breakthrough in soft robotics. Their study introduces the first toroidal, light-driven micro-robot that can move autonomously in viscous liquids, such as mucus. This innovation marks a major step forward in developing micro-robots capable of navigating complex environments, with promising applications in fields such as medicine and environmental monitoring.