Machine Learning and AI with Python" is an intermediate online course on edX, supported by Harvard SEAS. It teaches AI-driven decision-making using Python, cove ...

Net, a hybrid model that improves energy consumption prediction in low-energy buildings, enhancing accuracy and ...

The role of machine learning and deep learning in wildfire prediction remains limited by geographic concentration, uneven ...

The financial landscape of 2026 is defined by a paradox: machine learning systems are now more powerful and autonomous than ever, yet they operate under the strictest regulatory scrutiny in history.

Proton exchange membrane fuel cells (PEMFCs) are promising for zero-emission vehicles, but their sub-zero start-up capability remains a major hurdle. Freezing of product water inside the membrane ...

AI dependence among university students is driven less by routine use and more by the reasons students turn to the technology ...

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and accelerating therapeutic development.

AI can predict rainfall intensity better than several widely used forecasting models in tests using historical weather data ...

The landscape of spine rehabilitation is shifting rapidly in 2026, driven by fresh insights into the gut-disc axis, AI-driven diagnostics, and a renewed focus on functional resilience over imaging ...

To effectively protect biodiversity in an era of climate change, ecologists first have to know where animal and plant species ...

Artificial intelligence shows promise for improving care for peripheral artery disease through earlier detection, improved ...