A team of biologists and robotic engineers have developed a virtual reality system for fish to decipher how they school. They uncovered the natural ‘control law’ that is used by zebrafish to coordinate behaviour with others, a behavioural algorithm that has been tuned over millennia to facilitate effective collective motion. Since such collective behaviour could be highly advantageous for technological solutions, such as in the control of autonomous vehicles, the scientists then tested its performance with groups of robotic cars, drones and watercraft. They found that the rules of interaction that have evolved in fish are highly effective for robotic control, demonstrating their potential for the control of fleets of robots in the future. The research, published in Science Robotics, was led by scientists at the Cluster of Excellence Collective Behaviour, University of Konstanz, and the Max Planck Institute of Animal Behavior (MPI-AB), Germany, in collaboration with researchers at Eötvös University in Hungary and the Massachusetts Institute of Technology (MIT) in the United States.

 Every second counts when it comes to detecting and treating heart attacks. A new technology may be able to identify heart attacks faster and more accurately than traditional methods.

In what could represent a milestone in ecological restoration, researchers have implemented a method capable of restoring peatlands at tens of thousands of oil and gas exploration sites in Western Canada. 

Researchers from the University of Waterloo led the project that involves lowering the surface of these decommissioned sites, known as well pads, and transplanting native moss onto them to effectively recreate peatlands. This is the first time researchers have applied the method to scale on an entire well pad. The study found that the technique results in sufficient water for the growth of peatland moss across large portions of the study site. 

A new review, published in the peer-reviewed journal AI in Precision Oncology, explores the multifaceted reasons behind the skepticism surrounding artificial intelligence (AI) technologies in healthcare and advocates for approaches to build confidence in AI applications.

Lightweight lithium metal is a heavy-hitting critical mineral, serving as the key ingredient in the rechargeable batteries that power phones, laptops, electric vehicles and more. As ubiquitous as lithium is in modern technology, extracting the metal is complex and expensive. A new method, developed by researchers at Penn State and recently granted patent rights, enables high-efficiency lithium extraction — in minutes, not hours — using low temperatures and simple water-based leaching.