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 ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

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 ...

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 ...

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 ...

As part of Machine Design’s 90 th anniversary issue in January, we’ve asked industry experts to take a look at the present and future of technology and how it will impact the design and operation of ...

This transcript was prepared by a transcription service. This version may not be in its final form and may be updated. Ben Cohen: Microchips are used everywhere, in cars, gaming consoles, medical ...

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 ...