This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Last year, the biotechnology industry leaned heavily into the power of artificial intelligence (AI), using machine learning ...

Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.

Building on a strategy Xtrackers has run since 2019 – now with approximately $7 billion in assets under management globally ...

How Can Advanced AI Strategies Transform Data Protection? How do organizations ensure that their data protection strategies remain cutting-edge and resilient against evolving threats? For many ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

Data experts with Treasury, the GAO and the Pandemic Response Accountability Committee say AI and data analytics can be used ...

Hippocratic AI is building out its life sciences division to accelerate generative and agentic artificial intelligence in the ...

Abstract: Human trafficking is a serious problem that requires new ideas and data-driven approaches to identify and solve. In this study, we analyze large datasets to identify patterns and anomalies ...

Larian Studios senio staff ran a Q&A on Reddit, where fans asked about Larian's AI usage, with Swen and Machine Learning ...

Aim: Specific, Measurable, Achievable, Realistic, Time-bound (SMART) goals are commonly used in educational settings as a strategy to optimise learning. However, research and theory suggest that such ...

Abstract: Intrusion Detection Systems (IDS) are critical components in securing network environments against a myriad of cyber threats. The evolution of machine learning (ML) techniques has ...