Abstract: Speech-emotion recognition (SER) enables computers to engage with people in an emotionally intelligent way. The inability to adapt an existing model to a new domain is one of the significant ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Superconductors sit at the heart of some of the most ambitious technologies on the horizon, from lossless power grids to ...

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

For over a century, Alzheimer's disease (AD) has been considered irreversible. Consequently, research has focused on disease ...

Abstract: Dynamic Machine Allocation (DMA) is a vital aspect of production scheduling in semiconductor manufacturing. Current DMA practices heavily rely on engineers’ domain expertise and require a ...

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Scientists have engineered a protein able to record the incoming chemical signals of brain cells (as opposed to just their ...

AIQuant Labs has launched DexTrader.ai, a machine learning-powered investment platform designed to bring institutional-grade ...

Cloud is no longer just storage—it’s the intelligent core of modern business. Explore how “cognitive cloud” blends AI and cloud infrastructure to enable real-time, self-optimizing operations, improve ...