During her postdoctoral fellowship at Harvard’s Wyss Institute, Professor Nicole Weckman (ISTEP, ChemE) developed a new technique to rapidly detect antimicrobial resistant genes in a pathogenic fungus ...
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
Wilmington, Delaware - February 02, 2026 - PRESSADVANTAGE - PSCI shared perspective on how artificial intelligence is ...
From prompt injection to deepfake fraud, security researchers say several flaws have no known fix. Here's what to know about them.
“My work protects millions of users, translating theoretical research into practical security implementations at scale.” ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Abstract: The increasing global emphasis on renewable energy has underscored the need for education that not only builds theoretical foundations but also strengthens practical technical skills in ...
Deep learning detects foodborne bacteria within three hours by eliminating debris misclassifications
Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in ...
Abstract: The research presents a modern approach to depression diagnosis through Electroencephalography signal analysis using deep neural network and other machine learning technologies. Department ...
Modern conservation technology has one simple goal, even though achieving it is anything but simple: to spot a threat or threatened species instantly, right where it happens—even in places with no ...
In the pursuit of solutions to complex global challenges including disease, energy demands, and climate change, scientific ...
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