Meet the 2022-23 Accenture Fellows
This year's fellows will work across research areas including telemonitoring, human-computer interactions, operations research, AI-mediated socialization, and chemical transformations.
Search Stories
An automated way to assemble thousands of objects
A new algorithm for automatic assembly of products is accurate, efficient, and generalizable to a wide range of complex real-world assemblies.
Looking beyond “technology for technology’s sake”
Whether building robots or helping to lead the National Society of Black Engineers, senior Austen Roberson is thinking about the social implications of his field.
Channeling creativity through art and engineering
Recent mechanical engineering alumna Emily Satterfield ’22 pursues passions that might seem unrelated but “actually go hand-in-hand.”
Industrializing 3D printing
VulcanForms, founded by an MIT alumnus and professor, has created digital production systems to manufacture complex metal parts at scale.
Teresa Gao named 2024 Mitchell Scholar
The MIT senior will pursue postgraduate studies in computer science in Ireland.
A far-sighted approach to machine learning
New system can teach a group of cooperative or competitive AI agents to find an optimal long-term solution.
Flocks of assembler robots show potential for making larger structures
Researchers make progress toward groups of robots that could build almost anything, including buildings, vehicles, and even bigger robots.
Building resilience for the next supply chain disruption
James Rice discusses supply chain resilience and how organizations can prepare for the next big problem.
Study: Automation drives income inequality
New data suggest most of the growth in the wage gap since 1980 comes from automation displacing less-educated workers.
Solving brain dynamics gives rise to flexible machine-learning models
MIT CSAIL researchers solve a differential equation behind the interaction of two neurons through synapses to unlock a new type of speedy and efficient AI algorithm.
3 Questions: Looking to Artemis I for a return to the moon
As NASA launches Artemis I, MIT experts weigh in on the importance of the mission to future space exploration.
Ensuring AI works with the right dose of curiosity
Researchers make headway in solving a longstanding problem of balancing curious “exploration” versus “exploitation” of known pathways in reinforcement learning.
Lincoln Laboratory launches summer internships for local high schoolers
Guided by mentors, students explore STEM careers and home in on college majors.
In machine learning, synthetic data can offer real performance improvements
Models trained on synthetic data can be more accurate than other models in some cases, which could eliminate some privacy, copyright, and ethical concerns from using real data.