The module integrates a high-efficiency AI SoC with in-house software and peripherals to serve as a powerful Edge AI platform ...

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.

Why 90% of enterprise AI projects fail to scale, and how Turinton is compressing adoption cycles by aligning AI with business ...

The University of Cambridge researchers recently outlined how Matta’s adaptable AI technology is already helping factories ...

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 ...

The Post Office has issued information and instructions to its branch network regarding an issue with Horizon, six years after it began “fobbing off” a subpostmaster who raised concerns about it on ...

A booth demo highlights why the Cognex In-Sight 3800 makes quick work of executing inspection tasks on high-speed ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

The founding team of CEO Sophia Millar, Chief Technical Officer George Hallo, and Chief Product Officer Hooman Piroux ...

A crystal is a solid with a periodic atomic structure and a deviation from the periodicity of the crystal lattice is called a defect. Crystalline defects include point defects (e.g. colour centres) ...

New automated system speeds up breeding pest-resistant crops. It uses a robotic microscope & computer vision to count spider ...