The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

The milestone makes machine-learning trailblazer Yoshua Bengio the most cited researcher on Google Scholar. Computer ...

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

Start your journey into machine learning with EEG time-series data in this easy-to-follow Python project. Perfect for beginners looking to explore brain signal analysis! #MachineLearning #EEG #PythonP ...

Tired of digital clutter? Overwhelmed by disorganized files scattered across your computer? Let AI do the heavy lifting! The Local File Organizer is your personal organizing assistant, using ...

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, ...

Department of Life Sciences, University of Modena and Reggio Emilia, Via Giuseppe Campi 103, 41125 Modena, Italy Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, ...

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...