Location
BELC, South Wing, S247
Artificial Intelligence Lab
Bryant University’s Artificial Intelligence Lab is a hub for students and faculty to collaborate and explore the potential of AI in business. This dynamic space serves as a showcase for Bryant’s data-driven and innovative culture and promotes the Data Science and Information Systems programs to prospective students and corporate partners.
The largest lab in the BELC’s Data Science space, the AI Lab is purposely multifunctional, featuring dedicated space for robots, GPU workstations, group collaboration, individual workspaces with a monitor, student lounge spaces, and meeting locations for faculty to connect with students.
The lab includes two humanoids (Pepper and NAOv6), a Turtlebot3, five GPU workstations, and an extensive array of wall-mounted digital displays. Open to everyone in the Bryant community, the lab fosters an environment of discovery and problem-solving as students and faculty explore the transformative power of AI.
Highlights
Students benefit from cutting-edge technology and equipment such as:
- Two humanoids, Pepper and NAOv6
- GPU work pods retrofit for faculty-student research
- Moveable whiteboards to create additional workspace and act as partitions for privacy
- Large screen to display AI news, department events, and faculty/student highlights
- Configurable classroom setting to optimize lab space and create a welcoming environment
4 ft
height of humanoid Pepper
7
senses for natural interaction on NAOv6
5
GPU work pods retrofit for faculty-student research
Learning in the Lab
Robotic Applications
Students can use humanoid robots with a customized chatbot for interactive tasks, such as welcoming visitors, answering questions about Bryant, and assisting during events.
Students can use humanoid robots with a customized chatbot for interactive tasks, such as welcoming visitors, answering questions about Bryant, and assisting during events.
Big Data Analytics
GPU workstations can analyze large datasets in various formats, including text, images, audio, and video. An example could be performing real-time fraud detection by processing and analyzing large volumes of transaction data to identify anomalies.
GPU workstations can analyze large datasets in various formats, including text, images, audio, and video. An example could be performing real-time fraud detection by processing and analyzing large volumes of transaction data to identify anomalies.
Large Language Models
The lab supports running various large language models for tasks such as text generation, summarization, video creation/transcript, and conversational AI. Examples include creating personalized video content or generating automated video transcriptions for training.
The lab supports running various large language models for tasks such as text generation, summarization, video creation/transcript, and conversational AI. Examples include creating personalized video content or generating automated video transcriptions for training.
Graph Analytics
Users can run models to analyze and visualize relationships within social media networks, supply chains, or organizational structures. An example could be mapping the interaction between users on a social media platform to identify the most influential users and discover which users are driving the most engagement around a specific topic.
Users can run models to analyze and visualize relationships within social media networks, supply chains, or organizational structures. An example could be mapping the interaction between users on a social media platform to identify the most influential users and discover which users are driving the most engagement around a specific topic.