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Researchers at the University of Liverpool have developed AI-driven mobile robots that can carry out chemical synthesis research with axtraordinairy efficiency. In a study publishing in the journal Nature, researchers show how mobile robots that use AI logic to make decisions were able to perform exploratory chemistry research tasks to the same level as humans, but much faster. The 1.75-meter-tall mobile robots were designed by the Liverpool team to tackle three primary problems in exploratory

Project CETI (Cetacean Translation Initiative) aims to collect millions to billions of high-quality, highly contextualized vocalizations in order to understand how sperm whales communicate. But finding the whales and knowing where they will surface to capture the data is challenging — making it difficult to attach listening devices and collect visual information. Today, a Project CETI research team led by Stephanie Gil, Assistant Professor of Computer Science at the Harvard John A. Paulson School of

An advanced robotic system at The Hospital for Sick Children (SickKids) is changing the way physicians and scientists approach treatments for heart disease. Arrhythmogenic cardiomyopathy (ACM) is a leading cause of sudden cardiac death among young adults. Without any treatment, a heart transplant remains the only curative option for those living with the inherited condition. Now, a research team led by Dr. Jason Maynes at SickKids and Drs. Yu Sun and Xinyu Liu from the

By applying an electric field, the movement of microswimmers can be manipulated. Scientists from the Max Planck Institute for Dynamics and Self-Organization (MPI-DS), the Indian Institute of Technology (IIT) Hyderabad and the University of Twente, Netherlands, describe the underlying physical principles by comparing experiments and theoretical modeling predictions. They are able to tune the direction and mode of motion through a microchannel between oscillation, wall adherence and centerline orientation, enabling different interactions with the environment.

Today’s 3D printers make it fairly easy to conjure, say, a chess set into existence. But these printers are largely fixed in place. So if someone wants to add 3D-printed elements to a room — a footrest beneath a desk, for instance — the project gets more difficult. A space must be measured. The objects must then get scaled, printed elsewhere and fixed in the right spot. Handheld 3D printers exist, but they lack accuracy

A team of scientists at Nanyang Technological University, Singapore (NTU Singapore) has developed grain-sized soft robots that can be controlled using magnetic fields for targeted drug delivery, paving the way to possible improved therapies in future. The new soft robot developed by engineers at NTU’s School of Mechanical and Aerospace Engineering (MAE) was reported in a paper published in the scientific journal Advanced Materials. The study is believed to be the first reported instance of

Researchers at Tampere University have developed the world’s first soft touchpad that can sense the force, area and location of contact without electricity. The device utilises pneumatic channels, enabling its use in environments such as MRI machines and other conditions that are unsuitable for electronic devices. Soft devices like soft robots and rehabilitation aids could also benefit from this new technology. Researchers at Tampere University have developed the world’s first soft touchpad that is able

Imagine sitting in a dark movie theater wondering just how much soda is left in your oversized cup. Rather than prying off the cap and looking, you pick up and shake the cup a bit to hear how much ice is inside rattling around, giving you a decent indication of if you’ll need to get a free refill. Setting the drink back down, you wonder absent-mindedly if the armrest is made of real wood. After

Eye care specialists could see artificial intelligence help in diagnosing infectious keratitis (IK), a leading cause of corneal blindness worldwide, as a new study finds that deep learning models showed similar levels of accuracy in identifying infection. In a meta-analysis study published in eClinicalMedicine, Dr Darren Ting from the University of Birmingham conducted a review with a global team of researchers analysing 35 studies that utilised Deep Learning (DL) models to diagnose infectious keratitis. AI

What if a security camera could not only capture video but understand what’s happening — distinguishing between routine activities and potentially dangerous behavior in real time? That’s the future being shaped by researchers at the University of Virginia’s School of Engineering and Applied Science with their latest breakthrough: an AI-driven intelligent video analyzer capable of detecting human actions in video footage with unprecedented precision and intelligence. The system, called the Semantic and Motion-Aware Spatiotemporal Transformer