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What IT leaders are doing to boost Blacks in tech

Marilyn Nieves / ForYou13 / Getty Images As a Black woman with a computer science degree and 30 years of experience under her belt, Lisa Gelobter felt the time had come to use her skills to do something about issues of bias, discrimination, and harassment in the workplace. “I’ve gotten to a place where my resume is pretty unimpeachable,’’ says Gelobter, whose past credentials include serving as chief digital officer for Black Entertainment TV (BET), CDO of the Department of Education in the Obama Administration, and as a member of the team that launched Hulu. “It’s okay for me to stand up and put my voice and reputation on the line, where folks coming up still have to make their way.”

Machine learning algorithm may be the key to timely, inexpensive cyber-defense

Zero-day attacks can overwhelm traditional defenses, costing organizations money and resources A machine learning algorithm may give organizations a powerful and cost-effective tool for defending against attacks on vulnerable computer networks and cyber-infrastructure, often called zero-day attacks, according to researchers. Image: Pixahive Machine learning algorithm may be the key to timely, inexpensive cyber-defense Matt Swayne February 03, 2021 UNIVERSITY PARK, Pa. Attacks on vulnerable computer networks and cyber-infrastructure often called zero-day attacks can quickly overwhelm traditional defenses, resulting in billions of dollars of damage and requiring weeks of manual patching work to shore up the systems after the intrusion. Now, a Penn State-led team of researchers used a machine learning approach, based on a technique known as reinforcement learning, to create an adaptive cyber defense against these attacks.

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