Predictive maintenance is the principal application for machine learning today, followed closely by quality control, demand forecasting and robot training. The concept of machine learning is becoming ...

WEST LAFAYETTE, Ind. — Computer vision researchers use machine learning to train computers in visually recognizing objects – but very few apply machine learning to mechanical parts such as gearboxes, ...

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

Machine learning is powering most of the recent advancements in AI, including computer vision, natural language processing, predictive analytics, autonomous systems, and a wide range of applications.

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

TCAD models are the fundamental building blocks for the semiconductor industry. Whether it is a new process node or a new multi-billion dollar fab, accurate TCAD models must be developed and ...

Opinions expressed by Entrepreneur contributors are their own. Machine learning isn’t new to the enterprise, but technological advances and accelerating investments have made it available to the ...

Today, solar energy provides 2% of U.S. power. However, by 2050, renewables are predicted to be the most used energy source (surpassing petroleum and other liquids, natural gas, and coal) and solar ...