We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...

The government has made energy efficiency star labelling mandatory for appliances including refrigerators, televisions, LPG ...

Abstract: Machine learning algorithms have become pervasive in diverse applications, revolutionizing various domains. However, the abundance of algorithms, each designed for specific purposes, poses a ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...

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 ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

A multiday, moisture-laden series of atmospheric river storms tracking from Hawaii to Northern and Central California are ...

Transformers have revolutionized deep learning, but have you ever wondered how the decoder in a transformer actually works?

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

AI therapeutics company built on causal biology, today announced the publication of research in Nature Communications validating its POSH (Pooled Optical Screening in Human cells) platform. The study ...