Abstract: The proliferation of Internet of Things (IoT) devices has increased susceptibility to Distributed Denial of Service (DDoS) attacks, exposing the limitations of traditional security ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

To simulate the behavior of physical systems more accurately than ever, Kobe University YAGUCHI Takaharu and his team have developed an approach that can learn physically accurate computation methods ...

Join me on my journey of creating a Minecraft village in real life! This series documents the process over several days, showcasing elements inspired by the Minecraft movie, Minecraft Live, Minecraft ...

AI search is a very different animal from traditional search. You can’t buy your way to the top of a large-language model. At least not yet. If you want your brand to show up – and show up well – ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

New Jersey assemblywoman Andrea Katz is preparing legislation to make data centers in the state pay for the electricity they use. Katz, a Democrat, announced in September that she was introducing a ...

Objective: To develop and test an interpretable machine learning model that combines clinical data, radiomics, and deep learning features using different regions of interest (ROI) from magnetic ...

Nearly 50 new cancer therapies are approved every year. While this positive trend is a huge benefit for patients, Altuna Akalin, PhD, head of the bioinformatics and omics data science technology ...

1 Department of Pharmacy, The First Affiliated Hospital of Shantou University Medical College, Shantou, China 2 Department of Pharmacology, Shantou University Medical College, Shantou, China ...