Computers and Math from Science Daily Feed

Researchers have constructed a robot that uses machine learning to fully automate a complicated microinjection process used in genetic research.

A collaborative research team has successfully developed a cutting-edge artificial intelligence (AI) device that executes brain-like information processing through few-molecule reservoir computing. This innovation utilizes the molecular vibrations of a select number of organic molecules. By applying this device for the blood glucose level prediction in patients with diabetes, it has significantly outperformed existing AI devices in terms of prediction accuracy.

The use of pliable soft materials to collaborate with humans and work in disaster areashas drawn much recent attention. However, controlling soft dynamics for practical applications has remained a significant challenge. Researchers developed a method to control pneumatic artificial muscles, which are soft robotic actuators. Rich dynamics of these drive components can be exploited as a computational resource.

Light-driven molecular motors were first developed nearly 25 years ago. However, making these motors do actual work proved to be a challenge. In a new paper, scientists describe improvements that bring real-life applications closer.

Researchers have developed tiny, flexible devices that can wrap around individual nerve fibers without damaging them. The researchers combined flexible electronics and soft robotics techniques to develop the devices, which could be used for the diagnosis and treatment of a range of disorders, including epilepsy and chronic pain, or the control of prosthetic limbs.

Computer vision can be a valuable tool for anyone tasked with analyzing hours of footage because it can speed up the process of identifying individuals. For example, law enforcement may use it to perform a search for individuals with a simple query, such as 'Locate anyone wearing a red scarf over the past 48 hours.'

The IRIS infrared beamline at the BESSY II storage ring now offers a fourth option for characterizing materials, cells and even molecules on different length scales. The team has extended the IRIS beamline with an end station for nanospectroscopy and nanoimaging that enables spatial resolutions down to below 30 nanometers. The instrument is also available to external user groups.

Machines can learn not only to make predictions, but also to handle causal relationships. An international research team shows how this could make therapies safer, more efficient, and more individualized.

Diagnosing rare Mendelian disorders is a labor-intensive task, even for experienced geneticists. Investigators are trying to make the process more efficient using artificial intelligence. The team developed a machine learning system called AI-MARRVEL (AIM) to help prioritize potentially causative variants for Mendelian disorders.

Scientists are using artificial intelligence software to analyze plant root systems, laying out a protocol that can be applied to gather data on crop and model plant phenotypes (physical characteristics) more efficiently and with equal or greater accuracy than existing methods.

A new technique can generate batches of certain entangled states in a quantum processor. This advance could help scientists study the fundamental quantum property of entanglement and enable them to build larger and more complex quantum processors.

Cleveland Clinic researchers developed an artficial intelligence (AI) model that can determine the best combination and timeline to use when prescribing drugs to treat a bacterial infection, based solely on how quickly the bacteria grow given certain perturbations. PNAS recently published their findings.

AI is a valuable asset, so long as it's used properly, though customer service organizations shouldn't rely on it exclusively to guide their strategies, according to new research.

A new way of quickly distinguishing between illegal elephant ivory and legal mammoth tusk ivory could prove critical to fighting the illegal ivory trade. A laser-based approach could be used by customs worldwide to aid in the enforcement of illegal ivory from being traded under the guise of legal ivory.

Robotics engineers have worked for decades and invested many millions of research dollars in attempts to create a robot that can walk or run as well as an animal. And yet, it remains the case that many animals are capable of feats that would be impossible for robots that exist today.

According to new research, current methods for detecting manipulated digital media will not be effective against AI-generated video; but a machine-learning approach could be the key to unmasking these synthetic creations.

A new computer process makes it possible to generate active pharmaceutical ingredients quickly and easily based on a protein's three-dimensional surface. The new process could revolutionize drug research.

An ongoing research aims to create adaptable safety systems for highly automated off-road mobile machinery to meet industry needs. Research has revealed critical gaps in compliance with legislation related to public safety when using mobile working machines controlled by artificial intelligence.

Researchers have found that people following healthy eating accounts on social media for as little as two weeks ate more fruit and vegetables and less junk food.

A computer game helped upper secondary school students become better at distinguishing between reliable and misleading news.