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Scientists at Sandia National Laboratories are creating a concept for a new kind of “probabilistic computer” that could help scientists analyze subatomic shrapnel inside particle colliders, simulate nuclear physics experiments and process images faster and more accurately than is possible with conventional computers.

A research team has developed an artificial intelligence (AI) algorithm based on the automated analysis of videos, making it possible to study children’s non-verbal communication in an anonymous and standardised manner. Easy to use, this technology correctly classified 80% of cases from short videos showing a child with or without autism under 5 playing with an adult.

Researchers used advanced computational methodologies to successfully simulate the capsid disassembly step of hepatitis B viral infection at an unprecedented atomic level. Understanding the fundamental steps of viral infection can help design drugs to interrupt these processes and prevent chronic infection.

Bird species across the globe are suffering and dying from a type of malaria and, while these strains are not infectious to humans, they’re spreading quickly through global transmission hotspots.

A new artificial intelligence-based screening test for COVID-19 was found to generate a result 26% faster than lateral flow tests. Technology Networks spoke to Dr. Andrew Soltan, NIHR academic clinical fellow and a researcher involved in the study, to find out more.

Researchers have developed a deep learning-based method that can predict the possible onset of Alzheimer’s disease from brain images with an accuracy of over 99 per cent.

For millions of people with epilepsy and movement disorders such as Parkinson's disease, electrical stimulation of the brain already is widening treatment possibilities. A new study promises to make effective stimulation easier to achieve with the development of algorithms that model connections in the brain.

Without genetic material, how did the earliest cells divide? A new theoretical model suggests that heat might have been the driving force. The study is published in Biophysical Journal.

A new computational approach may predict how individual patients are likely to respond to vaccines. In the future, it could lead to new design principles for vaccines that take an individual’s personalized characteristics into account.

A new platform housing data from over 100 apple varieties could shave years off of the breeding process and enable data-driven assessments of how to boost the health benefits of America’s favorite fruit.