Schug has written extensively on the role of AI and data science in analytical chemistry in the LCGC Blog. In a recent ...

An international reserch team developed two deep learning-based IDS models to enhance cybersecurity in SCADA systems. The ...

Artificial intelligence is increasingly being used to help optimize decision-making in high-stakes settings. For instance, an ...

In my Sex, Drugs, and Artificial Intelligence class, I have strived to take a balanced look at various topics, including ...

Detailed price information for Integrated Cyber Solutions Inc. (ICS-CN) from The Globe and Mail including charting and trades.

Prediction-powered inference integrates a small gold-standard dataset with a large auxiliary dataset informed by machine ...

From cancer-fighting Taxol to fragrant rose oils, plant terpenoids shape our world in surprising ways. Scientists are now ...

An international research team developed a multi-stage intrusion detection system that uses supervised and unsupervised AI techniques to detect and mitigate cyber threats in smart renewable energy ...

Quantum machine learning is being explored as the next frontier in cybersecurity, but new research shows it remains far from replacing established artificial intelligence systems in detecting phishing ...

Two scikit-learn compatible transformers that use the mathematical structure of the ancient Maya number system and calendar to create richer feature representations. 347 = 17×20 + 7 Level 0 (ones): ...

Abstract: Categorical variables are a common feature in real-world datasets; however, most machine learning algorithms require numerical inputs. The method used to convert these categorical features ...

ABSTRACT: This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates ...