Whether on factory floors, construction sites, or warehouses, accidents have been an ongoing, and sometimes deadly, factor across industries. Add in the pandemic — and an increasing rate and intensity ...
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 ...
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 ...
When Sofya Akhmametyeva (MSR ‘17) arrived at Northwestern Engineering’s Master of Science in Robotics (MSR) program in 2015, her goal was straightforward. She wanted to apply machine learning to ...
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 ...
For many years, pharmaceutical companies have struggled to track products through the supply chain. This drawback has made it easy for counterfeiters to introduce fake drugs into the market. To ...
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 ...
Having data scientists collaborate with devops and engineers leads to better business outcomes, but understanding their different requirements is key Data scientists have some practices and needs in ...
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