Semiconductors are used in devices such as memory chips and solar cells, and within them may exist invisible defects that ...

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

Semiconductors are used in devices such as memory chips and solar cells, and within them may exist invisible defects that ...

Semiconductors are used in devices such as memory chips and solar cells, and within them may exist invisible defects that interfere with electrical ...

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 ...

The nRF54LM20B SoC pairs the Axon NPU with 2 MB NVM, 512 KB RAM, a 128 MHz Arm Cortex-M33 plus RISC-V coprocessor, high-speed ...

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 ...

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 ...