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.
In this interview, we spoke to agricultural economist Dr. Thomas Daum about farm robots and their potential within the field of agriculture.
A new study has investigated the fragments of cancer DNA that arise from the human genome, the sequence of which is the outcomes of millions of years of evolution.
Duct tape and items retrieved from the water are common pieces of evidence in forensic cases. A new study evaluates the recovery of DNA from folded duct tape that has been submerged in ocean water for up to 2 weeks.
Researchers have achieved major technological advances in various biology techniques, enabling their high-throughput implementation.
We live in a time when it's never been easier or less expensive to sequence a plant's complete genome. But knowing all a plant's genes is not the same thing as knowing what all those genes do.
Robots carry out many agricultural tasks, and the future of farming is likely going to rely even more heavily upon robots.
Ziath reports on ground-breaking use of Artificial Intelligence that enables discrimination between empty wells in sample tube racks from wells with a tube present which may have an obscured or poorly rendered barcode.
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.