Abstract: Semiconductor manufacturers aim to fabricate defect-free wafers in order to improve product quality, increase yields, and reduce costs. Typically, wafer defects form spatial patterns that ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: Metal surface defect recognition (MSDR) based on deep learning encounters the challenge of few-shot expert-labeled data. In this study, we proposed a CLIP-vision guided self supervised ...

AI plays a role in improving defect capture rate and distinguishing between yield-killing and nuisance defects. New developments in wafer edge inspection are proving essential to bonded wafer yields.

In modern stone fabrications and precision manufacturing facilities, the sound of production is the ultimate indicator of profitability. When a heavy stone slab is loaded onto a cutting bed, operators ...

The human brain actively keeps "learning" in balance by holding on to what matters and letting go of what does not.

Front and center at Automate 2026, machine vision solution suppliers showed how vision systems are foundational to industrial automation. Explore some of the products ...

The Alexander von Humboldt Foundation has awarded the Humboldt Research Award to Yuri Mishin (George Mason University, USA) and Sang Ho Oh (Korea Institute of Energy Technology, Republic of Korea). • ...

Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today announced that its Lattice sensAI™ solution ...

Main difference between Edge AI and traditional cloud-based AI is how ML models are processed and deployed in both models ...

Five independent security disclosures in a single week point to the same gap: AI agent permissions, not AI agent capabilities, are the problem enterprises haven’t solved. If you can only read one tech ...