A biohybrid hand which can move objects and do a scissor gesture has been created. The researchers used thin strings of lab-grown muscle tissue bundled into sushilike rolls to give the fingers enough strength to contract. These multiple muscle tissue actuators (MuMuTAs), created by the researchers, are a major development towards building larger biohybrid limbs. While currently limited to the lab environment, MuMuTAs have the potential to advance future biohybrid prosthetics, aid drug testing on muscle tissue and broaden the potential of biohybrid robotics to mimic real-life forms.
Researchers have achieved a breakthrough in wearable health technology by developing a novel self-healing electronic skin (E-Skin) that repairs itself in seconds after damage. This could potentially transform the landscape of personal health monitoring.
Researchers have developed an artificial intelligence (AI) tool that will help predict endangered whale habitat, guiding ships along the Atlantic coast to avoid them. The tool is designed to prevent deadly accidents and inform conservation strategies and responsible ocean development.
Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.
Artificial Intelligence of Things (AIoT) is becoming immensely popular because of its widespread applications. In a groundbreaking study, researchers present a new AIoT framework called MSF-Net for accurately recognizing human activities using WiFi signals. The framework utilizes a novel approach that combines different signal processing techniques and a deep learning architecture to overcome challenges like environmental interference and achieve high recognition accuracy.
Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions.
Engineers developed a training method for multiagent systems, such as large numbers of drones, that can guarantee their safe operation in crowded environments.
Personalized medicine aims to tailor treatments to individual patients. Until now, this has been done using a small number of parameters to predict the course of a disease. However, these few parameters are often not enough to understand the complexity of diseases such as cancer. A team of researchers has developed a new approach to this problem using artificial intelligence (AI).
Can a computer learn a language the way a child does? A recent study sheds new light on this question. The researchers advocate for a fundamental revision of how artificial intelligence acquires and processes language.
Experts highlight the need for a clear framework when it comes to AI research, given the rapid adoption of artificial intelligence by children and adolescents using digital devices to access the internet and social media.
Two new articles document progress in neuroprosthetic technology that lets people feel the shape and movement of objects moving over the 'skin' of a bionic hand.
The chemical composition of a material alone sometimes reveals little about its properties. The decisive factor is often the arrangement of the molecules in the atomic lattice structure or on the surface of the material. Materials science utilizes this factor to create certain properties by applying individual atoms and molecules to surfaces with the aid of high-performance microscopes. Using artificial intelligence, a new research group now wants to take the construction of nanostructures to a new level.
The robotics industry should be creating robots that could be reprogrammed and repurposed for other tasks once its life span is completed, researchers have advised.
Data collected by wearable technology can identify disease flare-ups up to seven weeks in advance.
Researchers have developed a novel 6D pose dataset designed to improve robotic grasping accuracy and adaptability in industrial settings. The dataset, which integrates RGB and depth images, demonstrates significant potential to enhance the precision of robots performing pick-and-place tasks in dynamic environments.