When Jonathan Mayer ’09 joined the faculty this spring, he was conducting a seminar on information technology and public policy at Princeton while finishing his term as a technical adviser to U.S. Senator Kamala Harris. He alternated between creating political history in Washington and teaching it at Princeton.

In the literal sense, she is creating computer vision technology that uses artificial intelligence to better identify objects and people. But Russakovsky, an assistant professor of computer science, also wants to help grow the next generation of artificial intelligence computer scientists, to expand the field’s diversity of thought to better serve all of humanity.

Children under 8 spend at least a couple of hours per day interacting with digital content, yet online security has yet to join the ranks of other early lessons meant to keep kids safe. Realizing this, Marshini Chetty is creating interactive lessons and games aimed at equipping kids with basic skills for maintaining digital privacy.

Most people never think about the encryption that underlies secure online activities including banking, shopping and communications. But all rely on computer programs to generate a random number that serves as a key to unlock encrypted communication. The problem is that small programming errors can make these systems vulnerable, and those vulnerabilities can often be very difficult to detect.

For three weeks this summer, high school students packed the conference rooms of Princeton’s Computer Science building, honing programming skills while taking on challenges in artificial intelligence — from sharpening computer vision for self-driving cars to identifying fake or misleading online news.

On September 13, the Siebel Scholars Foundation honored five graduate students from the Princeton Computer Science department with $35,000 awards: Mina Tahmasbi Arashloo, Brian Bullins, Ross Teixeira, Cyril Zhang, and Yinda Zhang.

Suppose you’re about to go snorkeling on the Great Barrier Reef or some other area of underwater beauty. You should be thinking about the wondrous marine life you’ll certainly see. But instead you’re fixated on the vanishingly small chance of coming eye to eye with a hungry shark.

Jennifer Rexford, chair of computer science and the Gordon Y.S. Wu Professor in Engineering, speaks about growth, research and innovative education in computer science.

When Ryan P. Adams looks at the ever evolving landscape of machine learning, statistics, and data science, the Princeton University computer science professor gets excited about how tools from the field can potentially provide unconventional, insightful solutions for complex problems, from developing new medications to creating new sources of energy that are better for the environment.

Sanjeev Arora, the Charles C. Fitzmorris Professor in Computer Science, is exploring the most baffling aspects of machine learning—especially “deep learning.” His end goal is to open the door to training techniques for machines that make the right decisions, mathematically guaranteed.

Ryan P. Adams, professor of computer science at Princeton University, has been appointed the director of the Undergraduate Certificate Program in Statistics and Machine Learning at the Center for Statistics and Machine Learning, effective July 1.

At the Electronics Resurgence Initiative Summit in San Francisco, DARPA announced funding to support projects in three main fields: design, architecture, and materials and integration.