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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
Machines are moving beyond single-point sensing. Multi-sensor fusion now delivers vision, ranging and inertial data. The ...
Cutting-edge robotics, AI-driven vision systems and modular tooling are helping cannabis packaging automation to meet unique ...
Generative AI in medtech raises questions on safety, validation, and regulatory challenges, explored in MD&M West's "GenMLP" ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
Learn how to leverage AI to improve processes, power growth and make stronger connections with your customers.
AI could transform materials R&D. But how it does this, and how well it is adopted, is yet to be seen. Here, we take a look ...
As the move to physical AI speeds up, how do you make sure these capabilities become broadly accessible and not limited to ...
Virtualization helps overcome the limitations of traditional test systems. By consolidating multiple PCs into a single ...
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