Getting complex machines to perform simple tasks was the object of the Rube Goldberg Machines display April 21 at Zachary High School. Seniors partnered up to design complex machines that ranged from ...

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Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this prowess extend to other fields of biology as well? Contrary to expectations, a ...

ASML has a virtual monopoly in advanced photolithography, positioning the company to capture the majority of growth in the industry. ASML's technological moat is insurmountable, as its complex ...

In an era of unprecedented technological advancements, the fusion of quantum AI and cognitive robotics emerges as a groundbreaking development. As someone deeply involved in AI, robotics and ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

Machine learning (ML) platforms are specialized software solutions that enable users to manage data preparation, machine learning model development, model deployment, and model monitoring in a unified ...

A digital thread approach to engineering encourages collaboration among engineering disciplines and leads to a simulation-driven digital twin. By adopting a digital thread approach to engineering, ...

Explainable machine learning is a sub-discipline of artificial intelligence (AI) and machine learning that attempts to summarize how machine learning systems make decisions. Summarizing how machine ...

Jordan Awan receives funding from the National Science Foundation and the National Institute of Health. He also serves as a privacy consultant for the federal non-profit, MITRE. In statistics and ...