Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong performance in classifying device behaviors and detecting botnet activity.

M, a transformer-based AI trained on UK Biobank and Danish health data to predict and simulate lifetime trajectories for ...

DeepSeek found that it could improve the reasoning and outputs of its model simply by incentivizing it to perform a trial-and ...

Blood samples taken from 2,526 participants over 18 months were analyzed using mathematical models and machine learning to classify antibody response patterns.

AI in drug discovery Artificial intelligence is rapidly transforming the way new drugs and therapeutic targets are discovered ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that they are actively exploring Scalable ...

Zapier reports that AI automation enhances traditional automation by combining intelligent technologies, improving efficiency ...

Artificial Intelligence (AI) has become a part of everyday life. It is visible in medical chatbots that guide patients and in generative tools that assist artists, writers, and developers. These ...

We present an automatic and scalable text-to-SQL data synthesis framework, illustrated below: Building on SynSQL-2.5M, we introduce OmniSQL, a family of powerful text-to-SQL models available in three ...

ImgEdit is a large-scale, high-quality image-editing dataset comprising 1.2 million carefully curated edit pairs, which contain both novel and complex single-turn edits, as well as challenging ...

Abstract: Cross-scene hyperspectral image (HSI) classification presents significant challenges due to domain shifts, which amplify epistemic uncertainty and lead to substantial performance drops in ...