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 ...

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...

Artificial intelligence allows farmers to increase yields by spotting pests and diseases early — and has led to a new wave of indoor growing startups.

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...

Ethical disclosures and Gaussian Splatting are on the wane, while the sheer volume of submitted papers represents a new ...

Jesta I.S. today announced the launch of FarsightIQ, a new AI-focused division delivering what the company calls one of retail's most advanced AI-driven commerce platforms--where machine learning and ...

Carnegie Mellon University will introduce new academic programs and resources for students and researchers to blend traditional humanistic inquiry with computational methods like computer vision, ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

Valve revealed its next batch of at-home hardware on Wednesday, including a new take on the Steam Machine, a gaming PC that's intended to be used like a console. Also revealed were the Steam Frame, ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...

Quantinuum, the $10 billion firm that’s become one of the biggest players in quantum computing, unveiled its latest computer Wednesday. The Helios machine represents an important leap in terms of ...

Machine vision is a collection of technologies that give automated equipment a high-level understanding of the immediate environment from images. Without machine vision software, digital images would ...