Lattice Semiconductor announced the latest release of the Lattice sensAI solution stack, delivering expanded model support, ...
The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.
14don MSN
Lattice enhances sensAI solution stack with edge AI performance, efficiency, and ease of use
Latest Lattice sensAI™ solution stack delivers industry-leading power efficiency, expanded AI model support, and flexible deployment tools for next-generation edge applications ‒ ...
Abstract: Efficient and accurate detection of surface defects on trains is crucial for ensuring train safety. However, the insufficient defect samples and their diverse patterns make defect detection ...
Abstract: Ensuring the quality of the printed circuit board (PCB) is vital. Most of the current fault detection algorithms perform well in PCB defect detection. However, these methods involve too many ...
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