The collaboration builds on the internal strengths of Bayer in antibody design, synthesis and machine learning, complementing ...
A new technical paper titled “Thermo-mechanical co-design of 2.5D flip-chip packages with silicon and glass interposers via ...
Purdue faculty dedicate countless hours to exploring the frontiers of their respective fields, pushing the boundaries of knowledge and contributing to the ever-evolving landscape of academia. To ...
FLO, offers practical guidance on leveraging artificial intelligence, digital twins and streamlined workflows to improve ...
More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...
The International Conference in Optimization and Learning (OLA2024), organized by RIT (Croatia) and the University of Lille (France), focuses on the future challenges of optimization and learning ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
For decades, scientists have relied on structure to understand protein function. Tools like AlphaFold have revolutionized how researchers predict and design folded proteins, allowing for new ...
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