News

In July, 27 students from across the world traveled to the UC Berkeley campus to attend the Summer Doctoral Program ...
Kinder occupies a unique "blue ocean" position in the AI writing assistant market: vs. Grammarly: Focus on empathy rather than grammar/style vs. ChatGPT/Claude/Grok: Integrated real-time assistance vs ...
By using AI to detect redundant development projects, we’re not just saving money—we’re restoring trust in aid, empowering smarter decision-making, and ensuring that every dollar truly makes a ...
With a smartphone in hand, anyone can be a naturalist. Apps like iNaturalist have surged in popularity over the last 15 years, with millions using them to document wildlife around the world. A new ...
From Boston Globe A.I. approved this message: how 2026 may be the first election where artificially-generated content is inescapable By Sam Brodey ...
After 36 years at UC Berkeley, AnnaLee (Anno) Saxenian, professor and former dean of the School of Information, will… ...
This course introduces the basics of computer programming that are essential for those interested in computer science, data science, and information management. Students will write their own ...
This course is a survey of web technologies that are used to build back-end systems that enable rich web applications. Utilizing technologies such as Python, Flask, Docker, RDBMS/NoSQL databases, and ...
The ability to represent, manipulate, and analyze structured data sets is foundational to the modern practice of data science. This course introduces students to the fundamentals of data structures ...
This course on generative AI blends the theoretical foundations of LLMs with hands-on applications. Topics include transformer architectures, prompt engineering, API integration, and retrieval ...
How to store, process, analyze and make sense of Big Data is of increasing interest and importance to technology companies, a wide range of industries, and academic institutions. In this course, UC ...
Nakov, P., Schwartz, A., and Hearst, M., Citances: Citation Sentences for Semantic Analysis of Bioscience Text, in the SIGIR'04 Workshop on Search and Discovery in ...