Lattice Semiconductor announced the latest release of the Lattice sensAI solution stack, delivering expanded model support, ...
Abstract: At present, deep learning-based intelligent detection technologies are progressively being applied to the field of steel surface defect inspection. An efficient defect inspection algorithm, ...
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.
12don 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: 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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