Metadata
Title
AI News & Events
Category
general
UUID
193bd4e8c385423b9e25fd9a091c5ac4
Source URL
https://www.northeastern.edu/ai/news-events/
Parent URL
https://www.northeastern.edu/ai/
Crawl Time
2026-03-23T19:16:35+00:00
Rendered Raw Markdown
# AI News & Events

**Source**: https://www.northeastern.edu/ai/news-events/
**Parent**: https://www.northeastern.edu/ai/

News and events

Tracking AI breakthroughs and innovators

We’re breaking new ground in addressing critical world issues through AI-infused learning and discovery. See how we’re supercharging our impact through AI.

Latest ways we are shaping an enhanced future.

[More AI news](https://news.northeastern.edu/?s=artificial+intelligence)

- Northeastern researchers develop AI app to help speech-impaired users communicate more naturally

  Northeastern researchers develop AI app to help speech-impaired users communicate more naturally

  Mar. 21, 2025
- Researcher’s sustainable fertilizer breakthrough fueled by machine learning and quantum mechanics

  Researcher’s sustainable fertilizer breakthrough fueled by machine learning and quantum mechanics

  Feb. 12, 2025
- What is Jevons Paradox? And why it may—or may not—predict AI’s future

  What is Jevons Paradox? And why it may—or may not—predict AI’s future

  Feb. 07, 2025
- Grant will allow Northeastern center to expand AI education

  Grant will allow Northeastern center to expand AI education

  Dec. 11, 2024

  [Read Story](https://news.northeastern.edu/2024/12/11/center-for-inclusive-computing-grant/)

Events and programs

## Participate in our AI research community’s events

- Shared Patterns: Form and Labor in Crafts and Generative AI – Sei Jung

  Shared Patterns: Form and Labor in Crafts and Generative AI – Sei Jung

  Mar. 17, 2026
- Creating Visuals with AI

  Creating Visuals with AI

  Mar. 18, 2026
- Teaching AI-Powered Research Tools in the First Year and Beyond

  Teaching AI-Powered Research Tools in the First Year and Beyond

  Mar. 20, 2026
- AI for Text Analysis with Python Using BERT and PyTorch

  AI for Text Analysis with Python Using BERT and PyTorch

  Mar. 24, 2026
- 2026 Klein Lecture

  2026 Klein Lecture

  Mar. 24, 2026
- 2026 Hanson Lecture

  2026 Hanson Lecture

  Mar. 30, 2026
- Using AI Tools To Manage Your Personal & Professional Life

  Using AI Tools To Manage Your Personal & Professional Life

  Apr. 02, 2026
- NULab Spring Conference 2026

  NULab Spring Conference 2026

  May 01, 2026

AI co-op case studies

## How our students are 
leveraging AI to effect change

Our talented co-op students are using AI to solve real-world challenges while forging paths toward meaningful careers.

### Developing brain-inspired computing hardware

Mauricio Tedeschi worked as a co-op at the Peter Grünberg Institute, where he helped the research center develop and test algorithms for “brain-inspired hardware” for high-performance computing. By mimicking neurons in the human brain, researchers hope to make computer chips more efficient and cost effective. Tedeschi, a computer science and physics major, assisted in the development of code to make these chips handle complicated tasks more efficiently. The research was published in the 2024 IEEE International Conference on Rebooting Computing proceeding.

[Learn more](https://news.northeastern.edu/2024/11/19/global-data-science-co-op/)

### Co-op students develop AI chatbot for state transit system

Ria Singh and Rudra Sett, students in Northeastern’s  [AI for Impact Co-op Program](https://burnes.northeastern.edu/ai-for-impact-coop/), built a generative artificial intelligence chatbot to share information about the MBTA’s paratransit service. The students developed a system that allows call takers to quickly search policies and other MBTA documents. The chatbot also finds answers to queries that the customer service representatives can relay back to the customer. The tool will allow CSRs to more quickly share key transit information with the public.

[Learn more](https://news.northeastern.edu/2024/06/27/ai-mbta-paratransit/ )

### AI tool connects farmers with environmental grants

Diane Grant and Rachel Kahn—who are both majoring in computer science and political science—created a navigation tool that consolidates information on grants offered by the Massachusetts’ Office of Energy and Environmental Affairs. Their AI-powered tool allows businesses, municipalities, nonprofits, and farmers to search a database of grant information to find appropriate opportunities more easily. Grant and Kahn hope that their tool will also help constituents determine their eligibility, understand grant requirements, and more. Both students are part of the [AI for Impact Co-op Program](https://burnes.northeastern.edu/ai-for-impact-coop/).

[Learn more](https://news.northeastern.edu/2024/06/28/grants-for-farmers-ai-tool/ )

### Gaining experience in machine learning

Ava Knight completed a co-op with Werusys Industrie Informatik, a German data analytics and machine-learning artificial intelligence company. While working for the company, she developed an application within a data analytics software that used machine learning to analyze time-series energy usage data from a manufacturing plant in order to identify optimal production conditions. Knight appreciated this co-op for granting her extensive app development and problem-solving experience.

[Learn more about co-op](https://www.northeastern.edu/experiential-learning/co-op/)

Take Action

[Apply](https://admissions.northeastern.edu/)

[Request information](https://admissions.northeastern.edu/visit/request-information/)

[Visit](https://admissions.northeastern.edu/visit/)

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