Electronic Engineering: Research Guide

Reducing the complexity of a powerful machine-learning model may help level the playing field for automatic speech-recognition around the world.

A new method forces a machine learning model to focus on more data when learning a task, which leads to more reliable predictions.

The Common Ground for Computing Education is facilitating collaborations to develop new classes for students to pursue computational knowledge within the context of their fields of interest.

A National Science Foundation-funded team will use artificial intelligence to speed up discoveries in physics, astronomy, and neuroscience.

MIT researchers develop a new way to control and measure energy levels in a diamond crystal; could improve qubits in quantum computers.

Neuroscientists find the internal workings of next-word prediction models resemble those of language-processing centers in the brain.

PhD candidate Charlene Xia is developing a low-cost system to monitor the microbiome of seaweed farms and identify diseases before they spread.

Artificial intelligence is top-of-mind as Governor Baker, President Reif encourage students to “see yourself in STEM.”

A certain type of artificial intelligence agent can learn the cause-and-effect basis of a navigation task during training.

MIT EECS unveils a new effort to encourage and support women on their journey to — and through — graduate study in computing and information technologies.

The K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center will use mathematical tools to transform data into a deep understanding of the brain.

MIT Refugee Action Hub celebrates the graduation of its third and largest cohort yet.

A cyber systems expert at Lincoln Laboratory, Okhravi will help investigate bold solutions to fundamental cyber vulnerabilities.

MIT App Inventor’s “Appathon” joins programmers from around the world to imagine a better future and start building it one app at a time.

Preparing for a career advancing the science and policy of climate issues, junior Ryan Conti focuses on math, computer science, and the philosophy of language.

Scientists employ an underused resource — radiology reports that accompany medical images — to improve the interpretive abilities of machine learning algorithms.

An electrical impedance tomography toolkit lets users design and fabricate health and motion sensing devices.

MIT scientists show how fast algorithms are improving across a broad range of examples, demonstrating their critical importance in advancing computing.

New property in an ultrathin cousin of graphene could allow for much denser computer memory.

Undergraduate engineering and computer science programs are No. 1; undergraduate business program is No. 2.

MIT professor is designing the next generation of smart wireless devices that will sit in the background, gathering and interpreting data, rather than being worn on the body.

A former department head who established the MEng degree for EECS undergraduates, Penfield developed courses illuminating the equivalence of information and thermodynamic entropy.

Obiageli Nwodoh ’21 repurposed her STEM skills to pave a pre-law path at MIT and pursue social justice.

ARROW, a reconfigurable fiber optics network developed at MIT, aims to take on the end of Moore’s law.

Competing research teams trained machine learning models to predict optimal routing based on real field datasets.

“SensiCut,” a smart material-sensing platform for laser cutters, can differentiate between 30 materials commonly found in makerspaces and workshops.

PhD student Rodrigo Ochigame designs alternative search engines and seeks to disrupt cultural assumptions in their teaching and research.

MIT researchers employ machine learning to find powerful peptides that could improve a gene therapy drug for Duchenne muscular dystrophy.

Probabilistic programming language allows for fast, error-free answers to hard AI problems, including fairness.

Two research projects on the design of state-of-the-art hardware could one day power next-generation 5G and 6G mobile networks.