Pursuing computer science (CS) was a no-brainer for Zach Wood-Doughty. A third-generation computer science professor following in his father and grandfather’s footsteps, he was hooked at a very early ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Why has machine learning become so vital in cybersecurity? This article answers that and explores several challenges that are inherent when applying machine learning. Machine learning (ML) is a ...

A technical paper titled “Application of Machine Learning in FPGA EDA Tool Development” was published by researchers at the University of Texas Dallas. “With the recent advances in hardware ...

In my last article, I explained how businesses need to differentiate between digital strategy, digitization and digitalization. The piece focused on how everyone uses the terms differently and, ...

Deep Instinct applies deep learning to cybersecurity—going beyond what machine learning can accomplish with a neural network designed to emulate the human brain and learn as it goes. Cyber attacks are ...

Researchers are applying artificial intelligence and other techniques in the quest to forecast quakes in time to help people find safety. In September 2017, about two minutes before a magnitude 8.2 ...

Machine learning is becoming increasingly valuable in semiconductor manufacturing, where it is being used to improve yield and throughput. This is especially important in process control, where data ...

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 ...