Read more about Deep learning and AI unlock new era of solar energy forecasting and performance on Devdiscourse ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

A new review examines how insertion and deletion (indel) errors disrupt data synchronization in modern communication systems.

Researchers have developed a systematic review that charts the evolution of artificial intelligence in generative design for steel modular structures, particularly steel box modular buildings, ...

Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

In December, The Conversation hosted a webinar on AI’s revolutionary role in drug discovery and development. Science and technology editor Eric Smalley interviewed Jeffrey Skolnick, eminent scholar in ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

At the University of Alberta, a century-old academic landmark has been transformed into the University Commons.

TOMRA Recycling launches the new FINDER™, a flexible metals sorting platform with built-in AI features for meeting infeed ...

Jennifer Paloma Rafferty and I briefly overlapped at Quinnipiac University, when she was working as a learning designer and I ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

This article discusses legal issues surrounding the harms caused by artificial intelligence, and where liability may lie if a neural network is not functioning correctly in the real world.Artificial ...