Do physicians or artificial intelligence (AI) offer better treatment recommendations for patients examined through a virtual urgent care setting? A new study shows physicians and AI models have distinct strengths. The study compared initial AI treatment recommendations to final recommendations of physicians who had access to the AI recommendations but may or may not have reviewed them.
How does a robotic arm or a prosthetic hand learn a complex task like grasping and rotating a ball? The challenge for the human, prosthetic or robotic hand has always been to correctly learn to control the fingers to exert forces on an object.
From enhancing worker productivity to bolstering operational efficiencies, AR solutions are proving their worth across manufacturing environments. But what does the future hold?
Claire chatted to Tanja Katharina Kaiser from the University of Technology Nuremberg about how applying evolutionary principles can help robot teams make better decisions.
Tanja Katharina Kaiser is a senior researcher heading the Multi-Robot Systems Satellite Lab at the University of Technology Nuremberg (UTN) in Germany. She and her team focus on the development of adaptive multi-robot systems to solve complex real-world tasks using artificial intelligence. Tanja received her doctorate in robotics from the University of Lübeck in Germany in 2022. Before joining UTN, she held postdoctoral research positions at the Technical University of Dresden and the University of Konstanz.
How does a robotic arm or a prosthetic hand learn a complex task like grasping and rotating a ball? Researchers address the classic 'nature versus nurture' question. The research demonstrates that the sequence of learning, also known as the 'curriculum,' is critical for learning to occur. In fact, the researchers note that if the curriculum takes place in a particular sequence, a simulated robotic hand can learn to manipulate with incomplete or even absent tactile sensation.
Schrobbelèr B.V., producer of an iconic Dutch herbal liquor since 1973, was ready to automate its palletizing tasks but needed an approach that could seamlessly integrate into its operations without disrupting the company’s traditional craftmanship.
When major disasters hit and structures collapse, people can become trapped under rubble. Extricating victims from these hazardous environments can be dangerous and physically exhausting. To help rescue teams navigate these structures, MIT Lincoln Laboratory, in collaboration with researchers at the University of Notre Dame, has developed the Soft Pathfinding Robotic Observation Unit (SPROUT).
When we move, it's harder for existing wearable devices to accurately track our heart activity. But researchers found that a starfish's five-arm shape helps solve this problem. Inspired by how a starfish flips itself over -- shrinking one of its arms and using the others in a coordinated motion to right itself -- scientists have created a starfish-shaped wearable device that tracks heart health in real time.
We’re exploring the frontiers of AGI, prioritizing technical safety, proactive risk assessment, and collaboration with the AI community.
We’re exploring the frontiers of AGI, prioritizing technical safety, proactive risk assessment, and collaboration with the AI community.
We’re exploring the frontiers of AGI, prioritizing technical safety, proactive risk assessment, and collaboration with the AI community.
We’re exploring the frontiers of AGI, prioritizing technical safety, proactive risk assessment, and collaboration with the AI community.
We’re exploring the frontiers of AGI, prioritizing technical safety, proactive risk assessment, and collaboration with the AI community.
We’re exploring the frontiers of AGI, prioritizing technical safety, proactive risk assessment, and collaboration with the AI community.
Our framework enables cybersecurity experts to identify which defenses are necessary—and how to prioritize them