Roboflow's workflow combines real and synthetic training data to develop defect detection models for manufacturing applications (Image: Roboflow) Roboflow integrates Nvidia simulation tools to train m ...

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 ...

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

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). • ...

k-Space Associates, Inc., a provider of advanced metrology and inspection solutions, announced new machine learning capabilities for its kSA Glass Breakage & Defect Detection tool. The enhancement ...

Abstract: Deep learning-based surface defect segmentation approaches have shown promising performance in recent years. However, segmenting defects with complex shapes, large variations in size, and ...

Abstract: Advancements in technology have made deep learning a hot research area, and we see its applications in various fields. Its widespread use in silicon wafer defect recognition is replacing ...

There is no doubt that the semiconductor industry is in an era of rapid and profound transformation, driven by an increasing demand for smaller, faster, and more powerful chips. As the speed of ...

More than 70 organizations, including the ACLU, EPIC, and Fight for the Future, say the AI smart glasses feature would endanger abuse victims, immigrants, and LGBTQ+ ...

US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...