Discover how inflammation peptides are revolutionising our understanding of immune regulation, offering new avenues for ...

Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we ...

Why CIOs see themselves as unifiers, Apple ups U.S. investment, hackers look for weak links, dropping out of college to stop AGI.

Ambitious entrepreneurs are increasingly turning to AI to drive growth, innovation, and efficiency. They have used AI to ...

Researchers in China used machine learning to create diagnostic and prognostic models to aid in identifying idiopathic ...

Here, we proposed a data-driven artificial intelligence (AI)-based method to generate spatiotemporal seamless daily SM data using triple collocation (TC), machine learning (ML), and DA.

Computer code is provided to track the size and shape of deformable pigment cells in the skin of cephalopods from high-resolution video images.

Applications are now open for the 2025–2026 edition of the Master in Data Management and Curation (MDMC), the postgraduate specialization program promoted by Area Science Park and SISSA. The program ...

Safety and data efficiency are important concerns in data-driven control, especially for nonlinear systems with unknown dynamics and subject to disturbances. In this work, we consider a class of ...

Machine-learning application makes advanced chemical predictions easier and faster, no deep programming skills required by Danielle Randall Doughty, Massachusetts Institute of Technology ...

Current approaches in bioengineering are synthesized and methods for their implementation are suggested for the induction and modulation of trained immunity in the treatment of human diseases.