Exploring AI safety, adaptability, and efficiency for the real world
Exploring AI safety, adaptability, and efficiency for the real world
Exploring AI safety, adaptability, and efficiency for the real world
Exploring AI safety, adaptability, and efficiency for the real world
Exploring AI safety, adaptability, and efficiency for the real world
Exploring AI safety, adaptability, and efficiency for the real world
Exploring AI safety, adaptability, and efficiency for the real world
Exploring AI safety, adaptability, and efficiency for the real world
Exploring AI safety, adaptability, and efficiency for the real world
A new USC study finds that by sharing knowledge with each other at the same time, AI agents can quickly learn a wider range of tasks, with applications in medicine and beyond.
A research group in Carnegie Mellon University's Robotics Institute is creating the next generation of explorers—robots.
A team of social scientists, neurologists and psychiatrists at the University of Southern California's Brain and Creativity Institute, working with colleagues from the Institute for Advanced Consciousness Studies, the University of Central Florida and the David Geffen School of Medicine at UCLA have published a Viewpoint piece in the journal Science Robotics outlining a new approach to giving robots empathy. In their paper, they suggest that traditional approaches may not work.
Implementing robotics in food processing has historically been challenging, thanks to product irregularity and delicate handling needs. Now that robots have become more precise and adaptive, that automation gap is closing.
Robotic fabrics that can shrink, grow in size and move with precision are becoming a reality, thanks to new research from scientists at the University of Sheffield.
This robot can swim under the sand and dig itself out too, thanks to two front limbs that mimic the oversized flippers of turtle hatchlings.