Niklas Roy has created a modern-day take on the two-wheeled robots used in schools in the 1980s with Logo programming. His robots are vector plotters that create artwork and can be built with an Arduino Nano.
Fernando J. Corbató was a Professor Emeritus at MIT, renowned for his pioneering work in the development of time-sharing and resource-sharing computer systems. He was instrumental in creating the Compatible Time-Sharing System (CTSS) and Multics, both influential systems that laid the groundwork for modern operating systems. Corbató's contributions have been widely recognized through numerous awards and fellowships, including the Turing Award (1990) and the Computer Pioneer Award (1982). He was a long-time member of the MIT Computation Center and the Laboratory for Computer Science, and held leadership positions within the department. His work significantly impacted the field of computer science and the evolution of computing technology.
A forum dedicated to bug-lispm, a project related to the Lisp Machine. The page lists recent threads with their creation dates, titles, and number of posts/days spanned.
A new study by MIT CSAIL researchers maps the challenges of AI in software development, identifying bottlenecks and highlighting research directions to move the field forward, aiming to allow humans to focus on high-level design while automating routine tasks.
Daniel Kleppner, a renowned physicist who made significant contributions to atomic physics and quantum computing, passed away on June 16, 2025, at the age of 92. He was best known for his work on hydrogen masers, which laid the groundwork for the Global Positioning System (GPS), and his pioneering research on Rydberg atoms and Bose-Einstein condensation. Kleppner spent nearly four decades as a professor at the Massachusetts Institute of Technology (MIT) and received the National Medal of Science in 2006. His final words were a toast to the future of science at his grandson's high school graduation party.
Mitchell David Kapor, known for Lotus 1-2-3, EFF, and Mozilla, has completed his master's degree at MIT Sloan after dropping out in 1980 to pursue a career in PC software.
This book covers foundational topics within computer vision, with an image processing and machine learning perspective. It aims to build the reader’s intuition through visualizations and is intended for undergraduate and graduate students, as well as experienced practitioners.
PhD student Sarah Alnegheimish is developing Orion, an open-source, user-friendly machine learning framework for detecting anomalies in large-scale industrial and operational settings. She focuses on making machine learning systems accessible, transparent, and trustworthy, and is exploring repurposing pre-trained models for anomaly detection.
A machine learning library for unsupervised time series anomaly detection. Orion provides verified ML pipelines to identify rare patterns in time series data.
SigLLM is an extension of the Orion library, built to detect anomalies in time series data using LLMs. It provides two types of pipelines for anomaly detection: Prompter (directly prompting LLMs) and Detector (using LLMs to forecast time series).
