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 ...

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

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 ...

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 ...

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 ...

Experts at the Table: Semiconductor Engineering sat down to discuss how increasing complexity in semiconductor and packaging technology is driving shifts in failure analysis methods, with Frank Chen, ...

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, ...

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 ...

Increases in computing power and the availability of more data through social media and crowdsourcing have facilitated the use of machine-learning in psychological research. Machine learning has been ...