Scientists at the Department of Energy's Oak Ridge National Laboratory have demonstrated an autonomous robotic field monitoring, sampling and data-gathering system that could accelerate understanding of interactions among plants, soil and the environment.
University of Queensland researchers have developed a 3D printing method to produce shape-shifting liquid metal robotics with musculoskeletal qualities inspired by animal physiology.
Wearable haptic devices, which provide touch-based feedback, can provide more realistic experiences in virtual reality, assist with rehabilitation, and create new opportunities for silent communication. Currently, most of these devices rely on vibration, as pressure-based haptics have typically required users to wear stiff exoskeletons or other bulky structures.
The buzz around Nintendo’s next-generation console, popularly referred to as the Nintendo Switch 2, has reached a fever pitch. With leaks emerging from accessory makers, YouTubers, and even case manufacturers, the gaming world is abuzz with speculation and excitement. As the official reveal looms—rumored to be in January 2025—let’s dive into the most credible leaks...
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Scientists have developed swarms of tiny magnetic robots that work together like ants to achieve Herculean feats, including traversing and picking up objects many times their size. The findings suggest that these microrobot swarms -- operating under a rotating magnetic field -- could be used to take on difficult tasks in challenging environments that individual robots would struggle to handle, such as offering a minimally invasive treatment for clogged arteries and precisely guiding organisms.
The recent spate of unidentified drone sightings in the U.S., including some near sensitive locations such as airports and military installations, has caused significant public concern.
Startups T-Robotics and Mbodi selected to collaborate on conversational AI and adaptive learning robotics solutions . Both winners selected from over 100 global pioneers of next-generation automation technology.
Reinforcement Learning, an artificial intelligence approach, has the potential to guide physicians in designing sequential treatment strategies for better patient outcomes but requires significant improvements before it can be applied in clinical settings, finds a new study.
Infertility affects an estimated 186 million people worldwide, with fallopian tube obstruction contributing to 11%-67% of female infertility cases. Researchers have developed an innovative solution using a magnetically driven robotic microscrew to treat fallopian tube blockages. The microrobot is made from nonmagnetic photosensitive resin, coated with a thin iron layer to give it magnetic properties. By applying an external magnetic field, the robot rotates, generating translational motion that enables it to navigate through a glass channel simulating a fallopian tube.
Our comprehensive benchmark and online leaderboard offer a much-needed measure of how accurately LLMs ground their responses in provided source material and avoid hallucinations
Unveiling the Strategy The assassination of Lieutenant-General Igor Kirillov, Russia’s head of nuclear, biological, and chemical defense forces, marks a dramatic escalation in Ukraine’s unconventional warfare against Moscow. By targeting a top military figure accused of orchestrating chemical attacks, Ukraine signals its readiness to strike at the heart of Russian leadership. This development raises significant...
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Ensuring safety and accuracy of correct packaging is a high priority in the food industry. In addition to the packaging quality, the high variation of different packaging and labeling is also a challenge.
The serene city of Madison, Wisconsin, was struck by tragedy on December 16, 2024, when an active shooter incident at the Abundant Life Christian School shattered its peace. Three lives were lost, including the juvenile suspect, and nine others were injured, with injuries ranging from minor to life-threatening. This incident, part of a grim pattern...
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A study is the first-of-its-kind to recognize American Sign Language (ASL) alphabet gestures using computer vision. Researchers developed a custom dataset of 29,820 static images of ASL hand gestures. Each image was annotated with 21 key landmarks on the hand, providing detailed spatial information about its structure and position. Combining MediaPipe and YOLOv8, a deep learning method they trained, with fine-tuning hyperparameters for the best accuracy, represents a groundbreaking and innovative approach that hasn't been explored in previous research.
We’re rolling out a new, state-of-the-art video model, Veo 2, and updates to Imagen 3. Plus, check out our new experiment, Whisk.