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.
Scientists have observed unique variances among the cells that make up a retinal tissue that is critical to human vision.
A vast amount of the powerful greenhouse gas is sequestered as frozen crystals in the world's oceans.
Image processing can be used to accelerate, control and optimise processes. When artificial intelligence comes into play, the range of applications becomes even wider.
A team of researchers led by the University of Minnesota has significantly improved the performance of numerical predictions for agricultural nitrous oxide emissions.
Working with tiny bacteria, Michigan State University researchers led by Lee Kroos have made a discovery that could have big implications for biology.
What happens below the cellular level when the heart contracts and relaxes has long been unexplored. Thanks to new ultra-high-resolution electron microscopy techniques, scientists can now watch the heart beating – almost at a molecular level.
A single cell’s genome or transcriptome can reveal considerably more data about its place in biological systems than sequencing a full batch of cells, just as interviewing a single person about their health will provide specialized, personalized information hard to obtain from a big poll.
Researchers from a USC-led consortium have discovered 15 "hotspots" in the genome that either speed up brain aging or slow it down -; a finding that could provide new drug targets to resist Alzheimer's disease and other degenerative brain disorders, as well as developmental delays.
Supporting actors sometimes steal the show. In a new study published today in Cell, researchers headed by Prof. Ido Amit at the Weizmann Institute of Science have shown that supporting cells called fibroblasts, long viewed as uniform background players, are in fact extremely varied and vital.
The female genital tract can be a hostile environment for conception. Out of about 100 million sperm, only a few hundred make it to the fallopian tubes.
In this interview, we speak to Dr. Maria Chatzou Dunford, CEO of Lifebit, about their technology and how it helps scientists to make better use of their data.
INTEGRA Biosciences has created the future of pipetting with the release of voice-activated pipettes. Initially available for VOYAGER pipettes and D-ONE single channel pipetting modules on the ASSIST PLUS pipetting robot, this voice assistant technology uses artificial intelligence to greatly streamline routine processes and increase laboratory productivity.
A study published today in Nature Communications unveils a new platform for discovering cellular signatures of disease that integrates robotic systems for studying patient cells with artificial intelligence methods for image analysis.
Scientists from Nanyang Technological University, Singapore (NTU Singapore) have developed a novel method of delivering drugs into human cells using large biological molecules, by first encasing them in a protein-based microdroplet.
A team led by Karolinska Institute used AI and structural biology to learn more about two similar proteins that protect against bacterial infection in the urinary tract.
LMU researchers show what happens in the human brain when we try to influence other people or when we ourselves are influenced by others.
Bacterial detection can take hours, if not days, to complete—wasting valuable time for diagnosing diseases and choosing treatments.
Texas A&M AgriLife Research scientists are using artificial intelligence to set a new world record for producing algae as a reliable, economic source for biofuel that can be used as an alternative fuel source for jet aircraft and other transportation needs.
By combining CRISPR technology with a protein designed with artificial intelligence, it is possible to awaken individual dormant genes by disabling the chemical "off switches" that silence them.
Researchers from Skoltech and Pustovoit All-Russian Research Institute of Oil Crops performed a genetic analysis of Russian sunflower lines and identified genetic markers that can help to predict the composition of tocopherols, one of the key attributes of oil quality.