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 ...

Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...

AI transforms cybersecurity. Our AI-driven systems anticipate threats, adapt to your environment, and safeguard your data with privacy at its core, before breaches occur. Innovation in machine ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Abstract: Bharatanatyam is an extremely narrative traditional dance of Tamil Nadu, India. The narratives are expressed by the dancer mainly through hand gestures called Mudras. Each of these mudras ...

We present a way to combine techniques from the program synthesis and machine learning communities to extract structured information from heterogeneous data. Such problems arise in several situations ...

Spotify Tests an AI Feature That Lets You Control Your Recommendation Algorithm Spotify's Prompted Playlist lets you describe the kind of music you want to hear, and its AI can then update the list ...

The new feature is simply called "Your Algorithm," and is available in the "reels" tab of the social media platform. Instagram said it is giving users more control over their algorithm — with the help ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

Casting directors of some of this season’s buzziest films chronicle how enlisting professionals lent credibility to the contenders. By Max Gao For the first time in the ceremony’s 98-year history, ...