This AI Expert From Senegal Is Helping Showcase Africans In STEM
Not only has Adji Bousso Dieng, an AI researcher from Senegal, contributed to the field of generative modeling and about to become the first black female faculty member in Princeton SEAS, she is also helping Africans in STEM tell their own success stories
Opening the Door to Our World: Machine Literacy and Beyond
“Why can’t we build machines that, just like humans, can read manuals, wikis, and other literature to gain some knowledge of an environment and its conditions, rather than having them learn to perform tasks through trial and error?”
Ushering Machines into the World of Human Knowledge
Prof. Danqi Chen stands at the intersection of machine learning and everyday language, and she is paving a fast lane toward a long-sought goal: opening the full expanse of human knowledge to computers that can think like people do — or maybe better.
Diving into the Mysteries of Deep Learning
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.
Prof. Olga Russakovsky, who joined Princeton's faculty in 2017, seeks to advance what she calls "humanistic AI, or AI for social good," by designing machine learning systems explicitly to avoid human mistakes and solve human problems.
Mind the Gap: Bridging the Computer-Human Divide
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.
Teaching Machines to Learn by Themselves
Hazan, who joined the Computer Science Department in 2015 and became a full professor in 2016, focuses on enabling machines to learn—to teach themselves, so to speak—a core aspect of artificial intelligence.
Princeton’s first AI4ALL summer program aims to diversify the field of artificial intelligence
Princeton’s AI4ALL summer program aims to bring young people from underrepresented groups into the growing field of artificial intelligence (AI). During a three-week residential camp, rising 11th-graders explore AI applications such as smart speakers and home appliances — including the gadgets’ security vulnerabilities.
