Robotic system zeroes in on objects most relevant for helping humans
Reports and Proceedings
Updates every hour. Last Updated: 24-Aug-2025 16:10 ET (24-Aug-2025 20:10 GMT/UTC)
MIT roboticists developed a way to cut through data noise and help robots focus on the features in a scene that are most relevant for assisting humans. The system could be used in smart manufacturing and warehouse settings where robots would work alongside and assist humans.
Mount Sinai-led research can transform how hospitals triage, risk-stratify, and counsel patients to save lives
The FAU Center for Connected Autonomy and Artificial Intelligence (CA-AI) has received a $799,759 grant from the U.S. Department of Defense to develop a state-of-the-art platform for testing and evaluating connected AI autonomous systems. The funding positions FAU as a national leader in this field and one of the first institutions to host a high-end NVIDIA GPU infrastructure for AI-driven autonomy research.
A research article published by the Beijing Institute of Technology presented a piezoelectric energy harvester (PEH) weighing only 46 milligrams. By matching the thoracic vibration frequency and optimizing the center of gravity distribution of bees, the device achieved high energy output (5.66 V and 1.27 mW/cm³), with experimental verification showing minimal interference with normal flight behaviors.
Plant-based seafood alternatives should have similar flavors, textures and nutritional content to the foods they mimic. And recreating the properties of fried calamari rings, which have a neutral flavor and a firm, chewy texture after being cooked, has been a challenge. Building off previous research, a team publishing in ACS Food Science & Technology describes successfully using plant-based ingredients to mimic calamari that matches the real seafood’s characteristic softness and elasticity.