Machine Learning and Artificial Intelligence

The societal impacts of technological change can be seen in many domains, from messenger RNA vaccines and automation to drones and climate change. The pace of that technological change can affect its impact, and how quickly a technology improves in performance can be an indicator of its future importance. For... Read more

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 finding a needle in... Read more

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 preventing future potentially... Read more

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 system agents... Read more

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 transferred across the network.... Read more

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.... Read more

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 less compiled driving data.... Read more

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 and research.... Read more

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 forces play a significant... Read more

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 pass to the teller.... Read more

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 could mean more fake... Read more

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 of the main culprits... Read more

The claim: Facebook discontinued two "AI robots" after they developed their own language... Read more

Griffith University researchers have developed an AI video surveillance system to detect social distancing breaches in an airport without compromising privacy.... Read more

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 the Scientific Reports shows that modern neural networks are able to efficiently... Read more