Data Set Released: Data Published at NSRR
Non-proprietary data was published at the National Sleep Research Resource. Source: https://sleepdata.org
Non-proprietary data was published at the National Sleep Research Resource. Source: https://sleepdata.org
About Founded in 2025, EC-Safety was born with a clear purpose: to transform geriatric care through technology designed with empathy, science, and real collaboration with those on the front lines of caregiving. From the beginning, we have worked hand in hand with experts in gerontology, clinical professionals, technologists, and elder care leaders to create a platform that not only digitizes processes but also eases the operational and emotional burden faced by caregivers. This mission has led us to collaborate with prestigious institutions such as the University of Massachusetts Amherst, where researchers use EC-Safety as a technological foundation in a pioneering project supported by the Massachusetts AI & Technology Center for Aging and Alzheimer’s Disease (MassAITC), focused on improving the lives of Alzheimer's patients and their caregivers through artificial intelligence. Our technology was not born in…
John Ralston presented on the NEURVESTA device mentioning the MassAITC pilot project work on January 14, 2025 as an featured AI startup at the AI Healthcare Event in association with the JP Morgan Healthcare Conference. Source: Event Post on MIT Club of Northern California Website
https://www.youtube.com/watch?v=8mXoTsgEd-I Abstract: Beginning in infancy, individuals acquire the social and communication skills that are vital for a healthy and productive life. Children with autism face great challenges in acquiring these skills, resulting in substantial lifetime risks. As the neural basis for ASD is unclear, the diagnosis, treatment, and study of autism depends fundamentally on the analysis of child behavior. Standard methods for behavioral observation and coding are the backbone of research studies but are inherently coarse-grained and not easily scalable. In this talk I will present our research agenda that uses AI models and computer vision technology to automate the measurement of social behavior from video. Our goal is to unlock the rich behavioral information that is present in video and make it available for large-scale data-driven modeling and assessment. I will present several recent…
Dr. Gang Wang gave a virtual talk at Columbia University (mobile computing seminar) which highlighted this project and the prototype design. Title: Defending against Spoofing Attacks in Mobile Networks and Applications Presenter: Gang Wang (PI)
A new company founded by G. Antonio Sosa-Pascual (PI) to commercialize the technology and AI developed through this pilot project was one of 24 companies selected (out of more than 200 applicants) to join the pre18 accelerator as a recipient of a $25,000 grant. Source: News is my Business News Release
The company was accepted into two accelerator programs within Puerto Rico.