Tech Xplore on MSN
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 ...
Cutting-edge robotics, AI-driven vision systems and modular tooling are helping cannabis packaging automation to meet unique ...
How to navigate the expanding market and avoid missteps where the newest sensors provide more capability than what you’ve ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
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 ...
It is not enough to know to drive a car, neither is how fast you can drive the most pertinent issue; what matters is how ...
Interesting Engineering on MSN
US researchers build fall-safe biped robots to advance real-world reinforcement learning
Researchers in the US developed bipedal robots with a new design, the HybridLeg platform, ...
From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence
Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.
Enzymes with specific functions are becoming increasingly important in industry, medicine and environmental protection. For example, they make it possible to synthesize chemicals in a more ...
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