In This Issue

More than 600 Whiting School of Engineering students participated in this year’s Design Day, the school’s annual celebration of innovation…

Researchers from Johns Hopkins’ Ralph O’Connor Sustainable Energy Institute (ROSEI) and Morgan State University are teaming up with the State…

Johns Hopkins University’s faculty achievements shine with Muyinatu “Bisi” Bell winning the 2024 Alan T. Waterman Award for her groundbreaking work in biomedical imaging and more.

Scientists have long known that the cell membrane—the thin layer surrounding each cell—plays a crucial role in cell activities and…

Chemicals—from antibiotics used to keep livestock healthy to pesticides that shield crops from insects—play an important role in modern agriculture….

Diff-Pitcher seamlessly corrects out-of-tune singing while maintaining the original vocal timbre and naturalness.

Machine learning technologies hold the potential to revolutionize decision-making. But how can we ensure AI systems are free of bias? Our experts weigh in.

We increasingly rely on AI models in our daily lives—from traffic navigation and shopping apps to AI-informed care decisions made by our doctors. Given their ubiquity and influence, how and why should we trust these decisions? Can we be certain the models’ predictions are free of biases or errors?

Harnessing advances in data science and AI, Whiting School researchers are working closely with clinicians to improve care for a broad array of debilitating conditions.

Using sensory systems, embedded processing, and machine learning, Hopkins undergrads are learning about avian life on campus.

Johns Hopkins engineers are pioneering a new approach to creating a neuromorphic spiking neural network chip for machine learning and AI.

Doctoral student Lidia Al-Zogbi created an autonomous system that can alert doctors to a hemorrhage via ultrasound and initiate diagnostics.

As the North America head of digital health at Siemens Healthineers, a health care solutions company, Peter Shen regularly engages with major health providers and technology partners on issues around adopting innovative technologies in health care. A Johns Hopkins Leadership Fellow for the Whiting School of Engineering, he recently testified before Congress about artificial intelligence in health care.

Alok Aggarwal, PhD ’84, is CEO and chief data scientist of ScryAI, an analytics firm that develops AI software solutions for the financial, technology, and health care industries.

Cathy Petrozzino ’80 sees the integrity and reliability of data used in AI as a defining limitation, describing the challenge as a form of “ethical debt.”

A pioneer in the field of organic electronics and photonics, Howard Katz occasionally turns to his trusty cello to provide his engineering students with an object lesson in wave vibration.

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