Machine learning & AI

Credit: CC0 Public Domain The Abbey Library of St. Gall in Switzerland is home to approximately 160,000 volumes of literary and historical manuscripts dating back to the eighth century—all of which are written by hand, on parchment, in languages rarely spoken in modern times. To preserve these historical accounts of...

The app, paired with a 3D-printed stand containing a simple heating element, controls the temperature of the origami test, heating it in around ten minutes to the temperature the LAMP process requires to work. Credit: University of Glasgow A new approach to tackling the spread of malaria in sub-Saharan Africa,...

Distribution of predicted improvement rates (in percent per year) for all 1,757 technology domains. Domains to the right of dashed red line are improving faster than 36.5 percent per year, the predicted rate for integrated chips according to Moore's law. Credit: Institute for Data, Systems, and Society The societal impacts...

Credit: Unsplash/CC0 Public Domain The prediction of future wireless traffic volumes using artificial intelligence (AI) would allow communication systems to automatically adjust network resources to maximize reliability. KAUST researchers have now developed a more accurate "dual attention" prediction scheme that minimizes the volume of prediction data that needs to be...

Credit: DeepMind A group at DeepMind called the Open-Ended Learning Team has developed a new way to train AI systems to play games. Instead of exposing it to millions of prior games, as is done with other game playing AI systems, the group at DeepMind has given its new AI...

Credit: Zhejiang University About 20 years ago, a series of coordinated terrorist attacks killed almost 3,000 people in the World Trade Center, New York and at the Pentagon. Since then, a vast amount of research has been carried out to better understand the mechanisms behind terrorism in the hope of...

Credit: CC0 Public Domain Cybersecurity analysts deal with an enormous amount of data, especially when monitoring network traffic. If one were to print the data in text form, a single day's worth of network traffic may be akin to a thick phonebook. In other words, detecting an abnormality is like...

Twitter said the cash rewards it's offering are "the industry's first algorithmic bias bounty" Twitter said Friday it would offer a cash "bounty" to users and researchers to help root out algorithmic bias on the social media platform. The San Francisco tech firm said this would be "the industry's first...

Credit: CC0 Public Domain Self-driving cars are powered by machine learning algorithms that require vast amounts of driving data in order to function safely. But if self-driving cars could learn to drive in the same way that babies learn to walk—by watching and mimicking others around them—they would require far...

Credit: CC0 Public Domain Machine-learning algorithms are used to find patterns in data that humans wouldn't otherwise notice, and are being deployed to help inform decisions big and small—from COVID-19 vaccination development to Netflix recommendations. New award-winning research from the Cornell Ann S. Bowers College of Computing and Information Science...

Credit: CC0 Public Domain Machine learning has burst onto the scene in the past two decades and will be a defining technology of the future. It is transforming large sectors of society, including healthcare, education, transport, and food and industrial production, as well as having an enormous impact on science...

Credit: Pixabay/CC0 Public Domain In the U.S., the place where one was born, one's social and economic background, the neighborhoods in which one spends one's formative years, and where one grows old are factors that account for a quarter to 60% of deaths in any given year, partly because these...

Credit: Pixabay/CC0 Public Domain As the field of forensics evolves, more complex evidence is being processed with greater precision, sensitivity and speed than ever before. To give a real-life example, consider a bank robbery where the perpetrator uses a pen, available to all customers, to write the note which they...

Credit: University of Sheffield New research that could help us use swarms of robots to tackle forest fires, conduct search and rescue operations at sea and diagnose problems inside the human body, has been published by engineers at the University of Sheffield. The study, led by Dr. Andreagiovanni Reina from...

Credit: Pixabay/CC0 Public Domain The food-water-energy nexus dictates that there is a direct link between these three necessities, and stressing one directly impacts the supply of the other two. As the population grows, human demand for energy and food has caused freshwater reserves to slowly deplete. Power plants are one...

Credit: CC0 Public Domain As online fake news detectors and spam filters become more sophisticated, so do attackers' methods to trick them—including attacks through the "universal trigger." In this learning-based method, an attacker uses a phrase or set of words to fool an indefinite number of inputs. A successful attack...

Credit: CC0 Public Domain The claim: Facebook discontinued two "AI robots" after they developed their own language It's hard to escape artificial intelligence. From algorithms curating social media feeds to personal assistants on smartphones and home devices, AI has become part of everyday life for millions of people across the...

Credit: Arapi et al. Over the past few decades, roboticists and computer scientists have developed a variety of data-based techniques for teaching robots how to complete different tasks. To achieve satisfactory results, however, these techniques should be trained on reliable and large datasets, preferably labeled with information related to the...

Credit: Pixabay/CC0 Public Domain A combined team of researchers from the University of British Columbia and the University of Alberta has found that at least some machine learning applications can learn from far fewer examples than has been assumed. In their paper published in the journal Nature Machine Intelligence, the...

Demonstration of SMILES tokenization (top) and IUPAC names tokenization (bottom). Credit: 10.1038/s41598-021-94082-y Skoltech researchers and their colleagues from Lomonosov Moscow State University and the Syntelly start-up have developed and trained a neural network to generate names for organic compounds in accordance with the IUPAC nomenclature system. Their research published in...