A comprehensive study of technological change

A comprehensive study of technological change

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...

Predicting wireless traffic using AI could improve the reliability of future wireless communication

Predicting wireless traffic using AI could improve the reliability of future wireless communication

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...

Turning network traffic data into music

Turning network traffic data into music

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...

Platform teaches nonexperts to use machine learning

Platform teaches nonexperts to use machine learning

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...

How will machine learning change science?

How will machine learning change 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...

Neural network trained to properly name organic molecules

Neural network trained to properly name organic molecules

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...

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