News

Joseph Carolan’s new proof framework helps resolve a long-standing question about the quantum security of a classic method in cryptography.

Alexey Gorshkov co-developed an entanglement-based approach that helps quantum sensors reject noise for more precise measurements.

Former members of the Perception and Robotics Group receive two-year awards to support research in AI and machine perception.

Through high-stakes quizbowls, Jordan Boyd-Graber is uncovering what makes human-AI partnerships succeed—and why trust may matter more than intelligence.

Six years of data reveal why known vulnerabilities can remain exposed long after fixes are available.

Naomi Feldman is bringing together linguists and AI researchers to build language technologies informed by how humans learn and use language.

Two award-winning papers helped shape research in online auctions, mechanism design and digital markets.

HumanEgo learns robot skills from just 30 minutes of human demonstrations captured with smart glasses, reducing the need for costly robot training data.

He discusses how his early interest in video games led to a career building search engines and software tools for massive biological datasets.

New method removes problematic information from large language models without damaging their reasoning abilities.