In order to use remote locations to record and assess the behavior of wildlife and environmental conditions, the GAIA Initiative developed an artificial intelligence (AI) algorithm that reliably and automatically classifies behaviors of white-backed vultures using animal tag data. As scavengers, vultures always look for the next carcass. With the help of tagged animals and a second AI algorithm, the scientists can now automatically locate carcasses across vast landscapes.
Unlike traditional weed control methods that often rely on herbicides or labor-intensive practices, the LaserWeeder uses targeted lasers to eliminate weeds without harming crops.
The AI Science Forum highlights AI's present and potential role in revolutionizing scientific discovery and solving global challenges, emphasizing collaboration between the scientific community, policymakers, and industry leaders.
The AI Science Forum highlights AI's present and potential role in revolutionizing scientific discovery and solving global challenges, emphasizing collaboration between the scientific community, policymakers, and industry leaders.
The AI Science Forum highlights AI's present and potential role in revolutionizing scientific discovery and solving global challenges, emphasizing collaboration between the scientific community, policymakers, and industry leaders.
The AI Science Forum highlights AI's present and potential role in revolutionizing scientific discovery and solving global challenges, emphasizing collaboration between the scientific community, policymakers, and industry leaders.
The AI Science Forum highlights AI's present and potential role in revolutionizing scientific discovery and solving global challenges, emphasizing collaboration between the scientific community, policymakers, and industry leaders.
The AI Science Forum highlights AI's present and potential role in revolutionizing scientific discovery and solving global challenges, emphasizing collaboration between the scientific community, policymakers, and industry leaders.
The AI Science Forum highlights AI's present and potential role in revolutionizing scientific discovery and solving global challenges, emphasizing collaboration between the scientific community, policymakers, and industry leaders.
Microsoft Ignite starts on November 19th this year. While there will be a lot of product updates and status reports on Microsoft Copilot and other Microsoft AI tools, the real benefit of this show will likely have far less to […]
The post Things to Look for at Microsoft Ignite appeared first on TechSpective.
Humans and animals move with remarkable economy without consciously thinking about it by utilizing the natural oscillation patterns of their bodies. A new tool can now utilize this knowledge for the first time to make robots move more efficiently.
In a review paper published recently in Science Robotics a cognitive roboticist, cognitive psychologist and a psychiatrist discuss the concept of "sense of self" in humans, and they explore how robots can be used to better understand the phenomenon.
Four-legged animals that start walking and gradually pick up speed will automatically fall into a trot at some point. This is because it would take more energy not to change gait. This correlation was discovered more than 40 years ago. Now, Alin Albu-Schäffer, a professor at the Chair of Sensor-based Robotic Systems and Intelligent Assistance Systems at TUM, has successfully transferred this method to the movement of robots.
The deployment of robot teams could allow humans to complete various real-world tasks faster and more efficiently. For instance, multiple co-operating robots could help to quickly find and rescue survivors of natural disasters or monitor pollution across large geographical areas.
Moxi has a humanoid form factor, with an arm for manipulating the environment, opening doors, and pushing buttons to operate elevators. Moxi is the only robot to accomplish this feat in a generalized way that is working 24/7 in hospitals across the US.