Data

Pictured, a rendering of a river system in Oregon.

Study finds climate determines shapes of river basins

Results may help identify ancient climates on Earth or other planets.

July 17, 2018

A computer simulation shows ecological provinces of the marine global ecosystems developed in the Follows Group at MIT. Each color represents a different combination of the most dominant phytoplankton function types (as shown in the Venn diagram at top right). Opacity indicates the total concentration of phytoplankton biomass: The darker the color, the less phytoplankton.

Collaboration to expand the study of microbial oceanography

Simons Foundation-backed CBIOMES brings together researchers in oceanography, statistics, data science, ecology, biogeochemistry, and remote sensing.

July 10, 2018

The image is an artist’s visualization of a nucleus as studied in numerical simulations, created using DeepArt neural network visualization software.

Project to elucidate the structure of atomic nuclei at the femtoscale

Laboratory for Nuclear Science project selected to explore machine learning for lattice quantum chromodynamics.

July 6, 2018

MIT researchers have developed a machine-learning model that better selects molecule candidates for therapeutics, while also allowing for automated modification of the molecular structure for higher potency. The innovation has potential to speed up drug development.

Automating molecule design to speed up drug development

Machine-learning model could help chemists make molecules with higher potencies, much more quickly.

July 6, 2018

“Teaching is complementary with research,” says economics professor Alberto Abadie. “When you need to explain material that you believe you understand very well, that is when the real test is."

Method man

Alberto Abadie refines the tools of economics — and gets some interesting results along the way.

June 18, 2018

A team of MIT engineers has developed a “smart power outlet” in the form of a device that can analyze electrical current usage from a single or multiple outlets.

MIT engineers build smart power outlet

Design can “learn” to identify plugged-in appliances, distinguish dangerous electrical spikes from benign ones.

June 15, 2018

Through a set of four online courses developed by MIT faculty and delivered on edX, students will learn, implement, and experiment with data analysis techniques and machine learning algorithms.

MITx MicroMasters Program in Statistics and Data Science opens enrollment

Program offers path to an accelerated master’s degree at seven universities.

June 11, 2018

Researchers have taken an in-depth look at RNA-protein interactions, determining the sequence, structure, and context preferences of RNA-binding proteins in a high throughput manner.

Decoding RNA-protein interactions

Scientists leverage one step, unbiased method to characterize the binding preferences of more than 70 human RNA-binding proteins.

June 7, 2018

MIT faculty approves new urban science major

Interdisciplinary undergraduate program combines urban planning and computer science.

June 5, 2018

A new algorithm developed by MIT researchers helps keep data fresh within a simple communication system, such as multiple drones reporting to a single control tower.

Keeping data fresh for wireless networks

Algorithm provides networks with the most current information available while avoiding data congestion.

June 4, 2018

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have designed a device that helps cheap flash storage process massive graphs on a personal computer. The device (pictured here) consists of a flash chip array (eight black chips) and computation “accelerator" (square piece directly to the left of the array). A novel algorithm sorts all access requests for gr...

Device allows a personal computer to process huge graphs

With novel system, data scientists can analyze massive networks without the need for power-hungry servers.

May 31, 2018

Delta Electronics Professor of Computer Science Regina Barzilay (left) gives a tutorial on the fundamentals of machine learning.

Applying machine learning to challenges in the pharmaceutical industry

MIT researchers and industry form new consortium to aid the drug discovery process.

May 17, 2018

Carlos Gomez Uribe ’02, MEng ’03, PhD ’08, who is an internet tech product and algorithms leader at Facebook, presents during the industry session at the 2018 MIT Statistics and Data Science Conference.

Celebrating 21st century statistics

MIT Statistics and Data Science Conference highlights new approaches and varied applications.

May 8, 2018

Dan Wexler (left) and Priya Patel of EatWell, which won the $15,000 grand prize at this year's Rabobank-MIT Food and Agribusiness Innovation Prize competition.

Prize-winning projects promote healthier eating, smarter crop investments

Meal kits for “food deserts” and crowdsourced crop-pricing platform win Rabobank-MIT Food and Agribusiness Innovation Prize.

May 4, 2018

“When I first started Python, I basically felt like I was learning some unfathomable witchcraft. Many of the concepts still feel hard to grasp for me, and that sort of feeling is what made me love it,” says second-year student James Quigley. He is featured with Ana Bell, a lecturer in the Electrical Engineering and Computer Science Department at MIT.

Computation counts

Students are flocking to 6.00 (Introduction to Computer Science and Programming Using Python), where they learn not just coding but computational thinking.