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Massachusetts Institute of Technology


Counting pedestrians to make pedestrians count

A new model developed by MIT's Andres Sevtsuk can estimate pedestrian journeys and trip distribution, providing a solution for planners and developers to better understand foot traffic in cities. The model uses network analysis and real-world data to calculate pedestrian flows, which can be applied to various urban settings.

SourceMassachusetts Institute of Technology·JournalJournal of the American Planning Association·DateApr 14, 2021

Synthetic mucus can mimic the real thing

Researchers at MIT have created synthetic mucins with a polymer backbone that mimic the structure and function of naturally occurring mucins, effectively neutralizing the bacterial toxin that causes cholera. This breakthrough could lead to new treatments for infectious diseases and potentially less resistance to antibiotics.

SourceMassachusetts Institute of Technology·JournalACS Central Science·DateMar 30, 2021

Vaccination by inhalation

MIT researchers develop a vaccination strategy that creates an army of T cells ready at the respiratory tract's mucosal surfaces, boosting immune responses. The approach uses albumin proteins to ferry vaccines across mucosal barriers, offering a quicker response to viral invaders and potential treatment for lung cancer.

SourceMassachusetts Institute of Technology·JournalScience Immunology·DateMar 19, 2021

After cracking the "sum of cubes" puzzle for 42, researchers discover a new solution for 3

After solving the sum of cubes puzzle for 42, researchers found a new solution for 3 using an optimized algorithm that utilized mathematical 'sieving' techniques. The discovery suggests there may be infinitely many more solutions for other values of k, with the next solution involving gigantic 21-digit numbers.

SourceMassachusetts Institute of Technology·JournalProceedings of the National Academy of Sciences·DateMar 11, 2021

Algorithm helps artificial intelligence systems dodge "adversarial" inputs

A new deep-learning algorithm, CARRL, is designed to help machines build a healthy skepticism of their measurements and inputs. By combining reinforcement-learning algorithms with deep neural networks, researchers created an approach that outperformed standard machine-learning techniques in scenarios with uncertain and adversarial inputs.

SourceMassachusetts Institute of Technology·JournalIEEE Transactions on Neural Networks and Learning Systems·DateMar 7, 2021

Study reveals how egg cells get so big

A new study in fruit flies reveals the process of oocyte growth relies on physical phenomena analogous to gas exchange between balloons. Nurse cells surrounding the larger oocyte dump their contents into it, using a counterintuitive mechanism where air flows from smaller to larger balloons.

SourceMassachusetts Institute of Technology·JournalProceedings of the National Academy of Sciences·DateMar 5, 2021

Chemists boost boron's utility

Researchers have created a boron-containing chemical group that is 10,000 times more stable than its predecessors. This new group, called benzoxaboralone, can be added to compounds to provide desirable attributes such as improved protein-binding strength.

SourceMassachusetts Institute of Technology·JournalProceedings of the National Academy of Sciences·DateMar 3, 2021