Lattice Semiconductor announced the latest release of the Lattice sensAI solution stack, delivering expanded model support, ...

Recently, defect detection systems using artificial intelligence (AI) sensor data have been installed in smart factory manufacturing sites. However, when the manufacturing process changes due to ...

Lattice Semiconductor has released an updated version of its sensAI software stack, seeking to strengthen its position in low ...

Researchers built an AI system that adapts to process changes, maintaining defect detection accuracy and lowering retraining costs in smart factories. (Nanowerk News) Artificial intelligence is ...

System reliability and safety are paramount across industries such as semiconductors, energy, automotive, and steel, where even microscopic cracks or defects within structures can critically affect ...

Modern advanced packaging processes and shrinking semiconductor device sizes mean that it is vital to consistently eliminate sub-20 nm defects and surface contaminants. To do this effectively, the ...

Semiconductor wafer defect pattern recognition and classification is a crucial area of research that underpins yield enhancement and quality assurance in microelectronics manufacturing. The discipline ...

The push to grow today’s $500 billion-plus semiconductor industry to $1 trillion in annual revenue is challenging every aspect of the broader supply chain to embrace AI. Artificial intelligence is ...

In the semiconductor industry, the outsourced semiconductor assembly and test (OSAT) sector plays a pivotal role in the global technology landscape. As the backbone of electronic device manufacturing, ...

IoT SoCs are being designed with lightweight NPUs, vector extensions, and DSP-like AI cores to support tasks such as anomaly detection, small-model vision, etc.