Scientists have developed an innovative therapeutic platform by mimicking the intricate structures of viruses using artificial intelligence (AI).
Artificial intelligence can provide critical insights into how complex mixtures of chemicals in rivers affect aquatic life -- paving the way for better environmental protection.
Artificial intelligence that is as intelligent as humans may become possible thanks to psychological learning models, combined with certain types of AI.
Researchers developed a laser-based artificial neuron that fully emulates the functions, dynamics and information processing of a biological graded neuron, which could lead to new breakthroughs in advanced computing. With a processing speed a billion times faster than nature, chip-based laser neuron could help advance AI tasks such as pattern recognition and sequence prediction.
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.
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.
Diverse and inclusive teams are not merely a moral imperative but also a catalyst for scientific excellence in robotics, scientists point out in a study. The team has outlined how a scientific community can benefit if its leadership fosters an environment of diversity and inclusion, and propose a leadership guide for roboticists to help reap these benefits.
An interdisciplinary team has created tiny bubble-like microrobots that can deliver therapeutics right where they are needed and then be absorbed by the body.
For human researchers, it takes many years of work to discover new super-resolution microscopy techniques. The number of possible optical configurations of a microscope -- for example, where to place mirrors or lenses -- is enormous. Researchers have now developed an artificial intelligence (AI) framework which autonomously discovers new experimental designs in microscopy. The framework, called XLuminA, performs optimizations 10,000 times faster than well-established methods.
Researchers have published two studies in which they surveyed readers on their thoughts about AI in journalism. When provided a sample of bylines stating AI was involved in producing news in some way or not at all, readers regularly stated they trusted the credibility of the news less if AI had a role. Even when they didn't understand exactly what AI contributed, they reported less trust and that 'humanness' was an important factor in producing reliable news.
A team of scientists has created a new shape-changing polymer that could transform how future soft materials are constructed.
A team of interdisciplinary scientists has developed flexible fibers with self-healing, light-emitting and magnetic properties. The Scalable Hydrogel-clad Ionotronic Nickel-core Electroluminescent (SHINE) fiber is bendable, emits highly visible light, and can automatically repair itself after being cut, regaining nearly 100 per cent of its original brightness. In addition, the fiber can be powered wirelessly and manipulated physically using magnetic forces.
A team of researchers has beaten its own record for the fastest swimming soft robot, drawing inspiration from manta rays to improve their ability to control the robot's movement in the water.
A research team has taken inspiration from the brains of insects and animals for more energy-efficient robotic navigation.
The genome has space for only a small fraction of the information needed to control complex behaviors. So then how, for example, does a newborn sea turtle instinctually know to follow the moonlight? Neuroscientists have devised a potential explanation for this age-old paradox. Their ideas should lead to faster, more evolved forms of artificial intelligence.