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Ballbot is a unique kind of robot with great mobility and possesses the ability to go in all directions. Obviously, controlling such a robotic device must be tricky. Indeed, ballbot systems pose unique challenges, particularly in the form of the difficulty of maintaining balance and stability in dynamic and uncertain environments. Traditional proportional integral derivative (PID) controllers struggle with these challenges, and other advanced methods, like sliding mode control, introduce issues like chattering. Therefore, there

A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care systems to make sure an AI tool would not harm them. The research letter was published in JAMA Network Open. Adults who had higher levels of overall trust in their health care systems were more likely to believe their providers would protect them from AI-related

The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) and NTT Research, Inc., a division of NTT, announced the publication of research showing an application of machine-learning directed optimization (ML-DO) that efficiently searches for high-performance design configurations in the context of biohybrid robots. Applying a machine learning approach, the researchers created mini biohybrid rays made of cardiomyocytes (heart muscle cells) and rubber with a wingspan of about 10 mm that are approximately

From predicting potholes to designing more durable concrete, artificial intelligence is paving the way for smarter infrastructure, a University of Mississippi researcher says. Ali Behnood, assistant professor of civil engineering, has dedicated more than 10 years to this field of study. He has contributed to more than 60 published research articles about the role of artificial intelligence in sustainable infrastructure. “The goal of our team in the NextGen Infrastructure Lab is to move towards the

Australian researchers are designing a global real-time monitoring system to help save the world’s coral reefs from further decline, primarily due to bleaching caused by global warming. Coral reefs worldwide are dying at an alarming rate, with 75% of reefs experiencing bleaching-level heat stress in the past two years. The World Heritage-listed Great Barrier Reef (GBR), considered the jewel in the crown of coral reefs worldwide and one of Australia’s most significant ecological and tourism

A biohybrid hand which can move objects and do a scissor gesture has been built by a team at the University of Tokyo and Waseda University in Japan. 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,

Researchers at Rutgers University-New Brunswick 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. Using an AI-powered computer program that learns from patterns detected between two vast databases, the researchers said their method improved upon present abilities to monitor the ocean for the distribution of

Researchers have developed a new AI algorithm, called Torque Clustering, that is much closer to natural intelligence than current methods. It significantly improves how AI systems learn and uncover patterns in data independently, without human guidance. Torque Clustering can efficiently and autonomously analyse vast amounts of data in fields such as biology, chemistry, astronomy, psychology, finance and medicine, revealing new insights such as detecting disease patterns, uncovering fraud, or understanding behaviour. “In nature, animals learn

Artificial Intelligence of Things (AIoT), which combines the advantages of both Artificial Intelligence and Internet of Things technologies, has become widely popular in recent years. In contrast to typical IoT setups, wherein devices collect and transfer data for processing at some other location, AIoT devices acquire data locally and in real-time, enabling them to make smart decisions. This technology has found extensive applications in intelligent manufacturing, smart home security, and healthcare monitoring. In smart home