Researchers combined deep learning with high-resolution physics to create the first Milky Way model that tracks over 100 billion stars individually. Their AI learned how gas behaves after supernovae, removing one of the biggest computational bottlenecks in galactic modeling. The result is a simulation hundreds of times faster than current methods.
Chimps may revise their beliefs in surprisingly human-like ways. Experiments showed they switched choices when presented with stronger clues, demonstrating flexible reasoning. Computational modeling confirmed these decisions weren’t just instinct. The findings could influence how we think about learning in both children and AI.
Aalto University researchers have developed a method to execute AI tensor operations using just one pass of light. By encoding data directly into light waves, they enable calculations to occur naturally and simultaneously. The approach works passively, without electronics, and could soon be integrated into photonic chips. If adopted, it promises dramatically faster and more energy-efficient AI systems.
Cloud computing’s agility has permanently reshaped enterprise IT, but it also exposes new layers of vulnerability. Modern organizations run thousands of workloads across AWS, Azure, and Google Cloud while orchestrating containers, microservices, and APIs that shift by the minute. Security […]
The post How Orca Security is Redefining Cloud Protection Through Context and Coverage appeared first on TechSpective.
Claire chatted to Heather Knight from Oregon State University about applying methods from the performing arts to robotics.
Heather Knight runs the CHARISMA Robotics research group. Her education includes a PhD on Expressive Motion for Low Degree of Freedom Robots from Carnegie Mellon University, and M.S. and B.S. degrees in EECS from the Massachusetts Institute of Technology. She has worked at NASA’s Jet Propulsion Laboratory and Aldebaran Robotics, and produced the Robot Film Festival, a Cyberflora robot flower garden, robot comedy on TED.com, and a two-floor Rube Goldberg machine for OK Go that won a British Video Music Award.
Industrial robotics has transformed manufacturing, logistics and maintenance across countless sectors. Yet in potentially explosive environments such as refineries, petrochemical plants, offshore platforms and battery production facilities, the picture changes dramatically.
Robots could soon be able to autonomously complete search and rescue missions, inspections, complex maintenance operations and various other real-world tasks. To do this, however, they should be able to smoothly navigate unknown and complex environments without breaking down or getting stuck, which would require human intervention.
A pair of swiveling, human-like robotic arms, built for physical artificial intelligence research, mirror the motions of an operator in a VR headset twirling his hands like a magician.
Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for strong alignment with actual values rather than simply reducing mistakes. Tests on medical and health data showed it often outperforms classic approaches. The discovery could reshape how scientists make reliable forecasts.
When it comes to navigating their surroundings, machines have a natural disadvantage compared to humans. To help hone the visual perception abilities they need to understand the world, researchers have developed a novel training dataset for improving spatial awareness in robots.
In the 1980s when micro-electro-mechanical systems (MEMS) were first created, computer engineers were excited by the idea that these new devices that combine electrical and mechanical components at the microscale could be used to build miniature robots.
Flashy humanoid robots that have awed attendees at Web Summit in Lisbon this week are still far from revolutionizing physical labor in factories and warehouses, Amazon's chief roboticist told AFP.
Robots aren't always the most delicate of machines when handling fragile objects. They don't have the lightness of touch of humans. But that could be about to change thanks to a new development in smart materials.
GigE cameras are being adopted faster in applications that demand high-bandwidth data transmission over long distances up to 100 meters using Ethernet cables. GigE cameras with ONVIF-compliant enable interoperability across different devices smoothly.
A research team from the Cognitive Neurotechnology Unit and the Visual Perception and Cognition Laboratory, Department of Computer Science and Engineering at Toyohashi University of Technology, investigated human behavior and comfort when handing over a package to an autonomous mobile delivery robot while walking—an interaction envisioned for logistics in future smart cities.