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RESEARCH TRIANGLE PARK, N.C. The U.S. Army awarded grants to seven academic teams across scientific disciplines to advance basic science research and enable the development of technologies critical to national defense.
The teams will research topics in human agent-teaming, artificial intelligence, novel materials and quantum physics, among others.
The awards are a part of the Department of Defense Multidisciplinary University Research Initiative, known as MURI. Army Research Office, an element of the U.S. Army Combat Capabilities Development Command, known as DEVCOM, Army Research Laboratory, represents the Army s portion of the MURI program.
The awards are typically funded at $1.25 million per year for three years with an option for two additional years and supports research teams whose efforts intersect more than one traditional scientific and engineering discipline.
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IMAGE: A Tetris-like grid of high-entropy carbides (blue) and borides (red) is expected to produce super-hard materials that can literally stir two pieces of steel together. view more
Credit: Duke University
A nationwide collaboration led by researchers at Duke University s Center for Autonomous Materials Design is working to synthesize inexpensive materials hard enough to literally stir two pieces of steel together with little wear and tear.
Funded by a five-year, $7.5 million grant through the Department of Defense s Multidisciplinary University Research Initiative (MURI) competition, the team will also develop a suite of AI-materials tools capable of the on-demand designing of similar materials with properties tailored to a wide range of applications.
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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