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.
This year's fellows will work across research areas including telemonitoring, human-computer interactions, operations research, AI-mediated socialization, and chemical transformations.
New research enables users to search for information without revealing their queries, based on a method that is 30 times faster than comparable prior techniques.
Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.
Lincoln Laboratory’s TeraByte InfraRed Delivery system sent data from a satellite to Earth at 100 Gbps — a rate that will transform future science missions.
In the fight against escalating cybercrime, boards need to deepen their cybersecurity competencies, explains Keri Pearlson, executive director of Cybersecurity at MIT Sloan.
New technique significantly reduces training and inference time on extensive datasets to keep pace with fast-moving data in finance, social networks, and fraud detection in cryptocurrency.
New technique could diminish errors that hamper the performance of super-fast analog optical neural networks.
Hackathon explores policy solutions to challenges in cybersecurity, environmental justice, and city planning focused on post-pandemic efforts to build a better society.
New research reveals a scalable technique that uses synthetic data to improve the accuracy of AI models that recognize images.
New prize program recognizes MIT researchers who make data openly accessible and reusable.
Associate Professor Noah Nathan is generating a body of scholarship on the political impacts of urbanization throughout the global South.
A new study suggests mobile data collected while traveling over bridges could help evaluate their integrity.
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.
Desiree Plata's research focuses on developing technologies and strategies for environmental sustainability.
A new method uses optics to accelerate machine-learning computations on smart speakers and other low-power connected devices.