Artificial intelligence, or AI, is an umbrella term for machine learning and deep learning. It is where a machine takes in information from its surroundings and, from that, makes the most optimal decision appropriate to the situation.
A new research project is aiming to develop a camera-based separation system that can separate plastic waste according to type. The machine will be implemented at plastic recyclers, enabling the manufacturing industry to significantly increase the use of recycled plastics.
Scientists have created a cellular and molecular map of the healthy human heart, to understand how this vital organ functions, and to shed light on what goes wrong in cardiovascular disease.
Professor James Kadonaga speaks to AZoLifeSciences about his research into gene activation, and how artificial intelligence can help to aid its discovery.
Each year, nearly 120 million units* of donated blood flow from donor veins into storage bags at collection centres around the world.
Given the global urgency of the COVID-19 pandemic, Microsoft's AI for Health program has stepped in to support the development and potential deployment of Vaxine's COVAX-19™ vaccine with a philanthropic grant.
Researchers have investigated the function of a complex mesh of muscle fibers that line the inner surface of the heart.
A group of scientists from Skoltech and the Institute for Information Transmission Problems of RAS (IITP RAS) showed, using Lake Baikal amphipods as an example, that parallel evolution driven by adaptations can be detected at the whole-genome level.
Computer systems that emulate key aspects of human problem solving are commonly referred to as AI. This field has seen massive progress over the last years.
Studies on cellular dynamics are vital to interpret the development of cells and the progression of various diseases.
Artificial intelligence can increase the effectiveness of drug repositioning or repurposing research, according to a study published in Translational Psychiatry.
Marcel Leist, Professor of In-Vitro Toxicology and Biomedicine at the University of Konstanz, and Thomas Hartung, Professor of Environmental Health Sciences at the University of Konstanz and Doerenkamp-Zbinden Chair of Evidence-Based Toxicology at Johns Hopkins Bloomberg School of Public Health in Baltimore, have been awarded the Ursula M. Händel Animal Welfare Prize 2020 of the German Research Foundation.
Researchers at the University of Chicago Medicine Comprehensive Cancer Center, working with colleagues in Europe, created a deep learning algorithm that can infer molecular alterations directly from routine histology images across multiple common tumor types.
Researchers at EMBL's European Bioinformatics Institute, the Wellcome Sanger Institute, Addenbrooke's Hospital in Cambridge, UK, and collaborators have developed an artificial intelligence algorithm that uses computer vision to analyse tissue samples from cancer patients.
Proteins are known to perform complex tasks and catalyze chemical reactions, making them crucial for cell survival.
A team of researchers showed that artificial intelligence (AI) could help predict the type of bacteria that caused the infection in patients with pneumonia.
Cancer diagnosis requires a lengthy process of multiple analyses of tissue biopsies, impeding the quick and early detection of cancers.
Especially activities in the field of artificial intelligence, like teaching robots to walk or precise automatic image recognition, demand ever more powerful, yet at the same time more economical computer chips.
In a recent study of genes involved in brain functioning, their previously unknown features have been uncovered by bioinformaticians from the Moscow Institute of Physics and Technology and the Institute of Mathematical Problems of Biology, RAS. The findings are reported in PLOS One.
AZoLifeSciences speaks to agricultural scientists about their research into cover crops, and how this can help sustainable farming practices.
Researchers have created novel image processing techniques for microscopes that can decrease the time for post-processing by up to several thousand-fold.