3 Questions: Designing software for research ethics
PhD candidate Jonathan Zong found a lack of systems that earn and maintain public trust in large-scale online research — so he made one himself.
Estimating the informativeness of data
MIT researchers can now estimate how much information data are likely to contain, in a more accurate and scalable way than previous methods.
Handheld surgical robot can help stem fatal blood loss
The AI-Guided Ultrasound Intervention Device is a lifesaving technology that helps a range of users deliver complex medical interventions at the point of injury.
Robotic cubes shapeshift in outer space
Self-reconfiguring ElectroVoxels use embedded electromagnets to test applications for space exploration.
An open-source tool for software security
The startup r2c, founded by MIT alumni, offers a database of software security checks to simplify the process of securing code.
A new programming language for high-performance computers
With a tensor language prototype, “speed and correctness do not have to compete ... they can go together, hand-in-hand.”
A system for designing and training intelligent soft robots
“Evolution Gym” is a large-scale benchmark for co-optimizing the design and control of soft robots that takes inspiration from nature and evolutionary processes.
Jelena Vučković delivers 2021 Dresselhaus Lecture on inverse-designed photonics
Electrical engineer and Stanford University professor discusses how computer software can support advanced designs and new functionalities.
The intersection of math, computers, and everything else
Senior Shardul Chiplunkar aims to be a translator between the tech world and the rest of society.
3 Questions: Can we fix our flawed software?
Professor Daniel Jackson explores conceptual clarity and a new theory of software design in his book “The Essence of Software.”
MIT Lincoln Laboratory wins nine R&D 100 Awards for 2021
A life-detecting radar, a microscale motor, and a quantum network architecture are among this year's most innovative new technologies.
How quickly do algorithms improve?
MIT scientists show how fast algorithms are improving across a broad range of examples, demonstrating their critical importance in advancing computing.
Lincoln Laboratory honored for transfer of security-enhancing technologies
FLC Excellence in Technology Transfer Award recognizes two innovations that have transitioned to commercial use.
Exact symbolic artificial intelligence for faster, better assessment of AI fairness
Probabilistic programming language allows for fast, error-free answers to hard AI problems, including fairness.
Keylime security software is deployed to IBM cloud
Originally developed at MIT Lincoln Laboratory, the technology allows organizations to ensure the security of sensitive data stored in the cloud.