By using machine learning and state-of-the-art supernova nucleosynthesis, a team of researchers has found the majority of observed second-generation stars in the universe were enriched…
Researchers have created classification models that enable accurate and automated sorting of various types of plastics. The use of compostable plastics is increasing, and while…
Scientific AI’s “Black Box” Is No Match for 200-Year-Old Method Fourier transformations reveal how deep neural network learns complex physics. One of the oldest tools…
Activation and expression of genes reveal similarities in cell patterns based on type and function throughout the tissues and organs. Understanding these patterns improves our…
A team of scientists from the Tata Institute of Fundamental Research in Mumbai and the Indian Institute of Space Science and Technology in Thiruvananthapuram, consisting…
Researchers have not only raised the temperature, but also lowered the pressure required to achieve superconductivity. In a historic achievement, University of Rochester researchers have…
Despite AI’s impressive track record, its computational power pales in comparison with a human brain. Now, scientists unveil a revolutionary path to drive computing forward:…
Researchers at EPFL have combined the fields of low-power chip design, machine learning algorithms, and soft implantable electrodes to create a neural interface capable of…
Deep learning techniques uncovered previously unnoticed signals of interest in analyzed datasets. The search for technologically advanced extraterrestrial life raises the question, “where are they?”…
According to a study conducted by researchers at Penn State College of Medicine and the University of Minnesota, certain medications, such as dextromethorphan, which is…
A natural language model has jumpstarted the process of protein design by creating active enzymes. Researchers have developed an AI system that can generate artificial…
Many alterations to the genomes of early humans had opposing effects, likely due to a delicate balance between enhanced cognitive abilities and an increased risk…
Researchers at the Wellcome Sanger Institute have developed a new tool to predict the chances of successfully inserting a gene-edited sequence of DNA into the…
Findings could introduce new and accurate AI-based opportunities in the clinical setting, potentially leading to personalized treatments for patients with otherwise lethal forms of cancer….
Although the brain’s architecture is very shallow, brain-inspired artificial neural networks’ learning capabilities can outperform deep learning. Traditionally, artificial intelligence stems from human brain dynamics….
Scientists can use a combination of advanced machine learning and sequential sampling techniques to predict extreme events without the need for large data sets, according…
Machine learning drives the self-discovery of pulses that stabilize quantum systems in the face of environmental noise. Controlling the trajectory of a basketball is relatively…
Researchers analyzing the data from MRI exams on nearly 8,000 children have identified biomarkers of attention-deficit/hyperactivity disorder (ADHD) and a possible role for neuroimaging machine…
