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 model that applies artificial intelligence to carbohydrates improves the understanding of the infection process and could help predict which viruses are likely to spread from animals to humans. This is reported in a recent study led by researchers at the University of Gothenburg.
The enormous potential of Big Data has already been demonstrated in areas such as financial services and telecommunications.
A research team has devised a new method that might revitalize the hunt for natural product medications to treat viral infections, cancer, and other diseases.
An odor-based test that sniffs out vapors emanating from blood samples was able to distinguish between benign and pancreatic and ovarian cancer cells with up to 95 percent accuracy, according to a new study from researchers at the University of Pennsylvania and Penn's Perelman School of Medicine.
Researchers have discovered a gene, OTUD7A, that impacts the development of Ewing sarcoma, a bone cancer that occurs mainly in children.
Current neural network algorithms produce impressive results that help solve an incredible number of problems.
Scientists, governments and corporations worldwide are racing against the clock to fight climate change, and part of the solution might be in our soil. By adding carbon from the atmosphere to depleted soil, farmers can both increase their yields and reduce emissions.
Mobile apps like Flora Incognita that allow automated identification of wild plants cannot only identify plant species, but also uncover large scale ecological patterns.
Scientists have begun using a method known as light-field microscopy to capture rapid biological processes in 3D to identify the neuronal signals in a fish brain.
A new, open-source tool enables non-experts to interpret microscopy images using artificial intelligence.
A research team has created an AI technique that can bind immune cells to their targets and uncouple the types of white blood cells that identify SARS-CoV-2.
Besides enabling more potent smartphones and higher download speeds while riding the subway, cutting-edge technologies like artificial intelligence, robotics, and wireless communications are on the verge of revolutionizing well-established industrial fields.
Researchers at the University of Copenhagen have made the first ever global assessment map of how future climate and land-use change impacts genetic diversity in mammals. The researchers hope the map will assist policy makers in prioritizing which areas should be preserved first.
Amy Wu, an award-winning writer for the women’s agriculture movement, speaks to AZoLifeSciences about the need to support women in agriculture.
In 2020, the International Agency for Research on Cancer of the World Health Organization stated that breast cancer accounts for most cancer morbidities and mortalities in women worldwide.
An interdisciplinary team led by KU Leuven and Stanford has identified 76 overlapping genetic locations that shape both our face and our brain.
Scientists at Gwangju Institute of Science and Technology, Korea, combine an inexpensive spectroscopy technique with artificial intelligence to develop a new way of assessing the freshness of beef samples. Their method is remarkably quicker and more cost-effective than conventional approaches while maintaining a relatively high accuracy, paving the way for mass-produced devices to identify spoiled meat both in the industry and at home.
Thanks to a newly published study by scientists, artificial intelligence (AI) can now create novel and functionally active proteins.
Food production is a complex process involving the careful monitoring and management of raw materials, supply chains, market prices and much more besides.
In Brazil, researchers affiliated with the Center for Nuclear Energy in Agriculture (CENA) and the Luiz de Queiroz College of Agriculture (ESALQ), both part of the University of São Paulo (USP), have developed a methodology based on artificial intelligence to automate and streamline seed quality analysis, a process required by law and currently done manually by analysts accredited with the Ministry of Agriculture.