07/31/2025
Accenture tasked a team of Break Through Tech AI Fellows with building a technology news monitoring and summarization engine that could automatically scan, analyze, and synthesize large volumes of tech news using cutting-edge AI tools.
07/11/2025
Break Through Tech fellows worked with the Michael J Fox Foundation to leverage machine learning to detect and quantify FOG episodes based on data collected from a 3D wearable sensor.
07/11/2025
Break Through Tech’s AI Program has helped a fellow discover her voice as a leader, and her purpose in building a more inclusive future for AI.
06/25/2025
With Latitude AI, Break Through Tech Fellows explore how cutting-edge computer vision powers the next generation of self-driving cars—and how artificial intelligence can improve how vehicles perceive their environment.
06/12/2025
Marie Cari didn’t follow a traditional path into tech, and she’s proud of it. Now a software engineer at Bank of America, Marie is paying it forward as a mentor in Break Through Tech’s AI Program, where she brings her full story—challenges and all—into her mentorship style.
06/11/2025
Can machine learning predict the next viral video? A team of Break Through Tech AI Studio fellows recently collaborated with Google and YouTube to explore this very question.
06/03/2025
In a recent AI Studio Challenge Project, a team of Break Through Tech Fellows worked with Marsh McLennan, a major consulting and risk strategy firm, to tackle the high-stakes issue of predicting the impact of hurricanes on vessel traffic off the Atlantic coast.
05/09/2025
Through a recent AI Studio Challenge, Mastercard partnered with a team of Break Through Tech fellows to tackle a critical business issue: predicting customer churn.
04/21/2025
Beyond technical skills, Break Through Tech’s AI Program provided Linn Khant Thuya with invaluable mentorship.
04/16/2025
Using Large Language Models (LLMs) and a range of machine learning techniques—including clustering, dimensionality reduction, and sentiment analysis— AI Program fellows worked to organize unstructured customer feedback into 10–15 distinct, meaningful themes.
