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.

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 ...

Dr Yuri Mishin and Prof. Sang Ho Oh cooperate with the Max Planck Institute for Sustainable Materials ...

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 ...

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

Researchers built a photonic synapse that strengthens or erases memory by light color, using a defect to mimic the brain's balanced learning.

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

A new statewide initiative, IN AI, aims to help Indiana companies find ways to succeed with artificial intelligence.

Ford has rehired over 300 veteran engineers after AI systems failed to meet quality standards, highlighting the limits of ...

The complexity of integrating AI into Commercial Real Estate operations and investments remains a significant barrier to ...

Revolutionizing Vehicle Inspection Through AI The logistics industry depends heavily on vehicle availability and reliability. Any unexpected downtime can significantly impact delivery schedules, ...