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.”
Professor Daniel Jackson explores conceptual clarity and a new theory of software design in his book “The Essence of Software.”
A new machine-learning model could enable robots to understand interactions in the world in the way humans do.
Mechanical engineers are using cutting-edge computing techniques to re-imagine how the products, systems, and infrastructures we use are designed.
New work on linear-probing hash tables from MIT CSAIL could lead to more efficient data storage and retrieval in computers.
Model-free framework reorients over 2,000 diverse objects with a hand facing both upward and downward, in a step toward more human-like manipulation.
A new machine-learning system helps robots understand and perform certain social interactions.
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.
Those selected for these positions receive additional support to pursue their research and develop their careers.
Neuroscientists find the internal workings of next-word prediction models resemble those of language-processing centers in the brain.
Artificial intelligence is top-of-mind as Governor Baker, President Reif encourage students to “see yourself in STEM.”
A new control system, demonstrated using MIT’s robotic mini cheetah, enables four-legged robots to jump across uneven terrain in real-time.
Cardiologist Demilade Adedinsewo is using her MIT Professional Education experience to advance cardiovascular care at the Mayo Clinic.
A new machine-learning system costs less, generates less waste, and can be more innovative than manual discovery methods.