Archive 25.02.2025

Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI

Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI

Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI

Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI

Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI

Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI

Indoor search and rescue operations are some of the most dangerous tasks that law enforcement and first responders must face, but drone technology has revolutionized how they approach these intense situations, according to graduate students in Penn State's Autonomous Robotics Competition Club (ARCC). Drones can be used to locate people in claustrophobic, dark and GPS-limited environments like collapsed buildings, but developing these drones is difficult and expensive.

Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI

How does a tennis player like Carlos Alcaraz decide where to run to return Novak Djokovic's ball by just looking at the ball's initial position? These behaviours, so common in elite athletes, are difficult to explain with current computational models, which assume that the players must continuously follow the ball with their eyes. Now, researchers have developed a model that, by combining optical variables with environmental factors such as gravity, accurately predicts how a person will move to catch a moving object just from an initial glance. These results could have potential applications in fields such as robotics, sports training or even space exploration.

Most AI diagnostic tools are black boxes, but the approach allows doctors and patients to understand how the computer reached a diagnosis.

An autonomous underwater vehicle can propel itself efficiently by using the energy in nearby water currents.

By watching their own motions with a camera, robots can teach themselves about the structure of their own bodies and how they move, a new study by researchers at Columbia Engineering now reveals. Equipped with this knowledge, the robots could not only plan their own actions, but also overcome damage to their bodies.

AI and robotics are seen to deeply disturb specialized industry sectors, bringing beneficial pioneering modernizations in machining, industrial manufacturing and machine shops. Elitsa Krumova explores the future of machining in more depth on behalf of DELMIA.

Humanoid robots, which have a body structure that mirrors that of humans, could rapidly and effectively tackle a wide range of tasks in real-world settings. These robots and their underlying control algorithms have improved considerably in recent years. Many of them can now move faster, emulating various human-like movements.

Researchers from the Shenyang Institute of Automation of the Chinese Academy of Sciences have developed a multi-mode swimming soft robotic fish. Drawing inspiration from the highly sensitive lateral line sensing system and advanced muscle actuation mechanisms of natural fish, the new design integrates actuation, perception, and control capabilities, offering significant advancements in underwater robotics.