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.
Google, IBM, Microsoft, Amazon are all looking into it, but quantum computing is still widely misunderstood. This is everything you need to know about the next stage of computing, and everything that it could unlock.
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.
Qantas is working with the International Air Transport Association to make COVID-19 safe travel happen once Australia's borders re-open.
The Australian government says its COVIDSafe app identified 2,827 potential close contacts from 37,668 encounters in NSW and Victoria. Only 17 cases in NSW were identified separately to manual contact tracing efforts, however.
Fossil forensics and artificial intelligence have shed light on how multiple groups of large mammals died by a lake in what is now Spain 9 million years ago
Computer scientists from the Netherlands and Spain have determined how a deep learning system well suited for image recognition learns to recognize its surroundings. They were able to simplify the learning process by forcing the system's focus toward secondary characteristics.
These are ZDNet's top picks for 2021's best Wi-Fi routers suitable for home offices and remote working.
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 task they are learning to complete.
The claim: Facebook discontinued two "AI robots" after they developed their own language
Griffith University researchers have developed an AI video surveillance system to detect social distancing breaches in an airport without compromising privacy.
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 deal with exact algorithmic problems.
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 group describes testing they carried out with machine learning applications created to predict certain types of molecular structures.
A new report from GlobalData finds that professionals now believe AR will disrupt their industry more than AI.
En una era de escasez causada por una pandemia, algo de automatización podría ser la gran diferencia a la hora de alcanzar lo inalcanzable.
Robots are common in the operating room, but there's no standard curriculum to train surgeons to use them.
The new LG-Magna joint venture will operate subsidiaries in China and the US, the world's largest automobile markets.
The Melbourne-based university is hoping to drive innovation at scale with its new cloud supercomputing facility.