March 5 - AI, ML and Computer Vision Meetup

Join our virtual meetup to hear talks from experts on cutting-edge topics across AI, ML, and computer vision.

Date and Location

Mar 5, 2026
9 - 11 AM Pacific
Online. Register for the Zoom!

MOSPA: Human Motion Generation Driven by Spatial Audio

Enabling virtual humans to dynamically and realistically respond to diverse auditory stimuli remains a key challenge in character animation, demanding the integration of perceptual modeling and motion synthesis. Despite its significance, this task remains largely unexplored. Most previous works have primarily focused on mapping modalities like speech, audio, and music to generate human motion. As of yet, these models typically overlook the impact of spatial features encoded in spatial audio signals on human motion.

To bridge this gap and enable high-quality modeling of human movements in response to spatial audio, we introduce the first comprehensive Spatial Audio-Driven Human Motion (SAM) dataset, which contains diverse and high-quality spatial audio and motion data. For benchmarking, we develop a simple yet effective diffusion-based generative framework for human MOtion generation driven by SPatial Audio, termed MOSPA, which faithfully captures the relationship between body motion and spatial audio through an effective fusion mechanism. Once trained, MOSPA can generate diverse, realistic human motions conditioned on varying spatial audio inputs. We perform a thorough investigation of the proposed dataset and conduct extensive experiments for benchmarking, where our method achieves state-of-the-art performance on this task.

About the Speaker

Zhiyang (Frank) Dou is a Ph.D. student at MIT CSAIL, advised by Prof. Wojciech Matusik. I work with the Computational Design and Fabrication Group and the Computer Graphics Group.

Securing the Autonomous Future: Navigating the Intersection of Agentic AI, Connected Devices, and Cyber Resilience

With billions of devices now in our infrastructure and emerging as autonomous agents (AI), we face a very real question: How can we create intelligent systems that are both secure and trusted? This talk will explore the intersection of agentic AI and IoT and demonstrate how the same AI systems can provide robust defense mechanisms. At its core, however, this is a challenge about trusting people with technology, ensuring their safety, and providing accountability. Therefore, creating a new way of thinking is required, one in which security is built in, and where autonomous action has oversight; and, ultimately, innovation leads to greater human well-being.

About the Speaker

Samaresh Kumar Singh is an engineering principal at HP Inc. with more than 21 years of experience in designing and implementing large-scale distributed systems, cloud native platform systems, and edge AI / ML systems. His expertise includes agentic AI systems, GenAI / LLMs, Edge AI, federated and privacy preserving learning, and secure hybrid cloud / edge computing.

Plugins as Products: Bringing Visual AI Research into Real-World Workflows with FiftyOne

Visual AI research often introduces new datasets, models, and analysis methods, but integrating these advances into everyday workflows can be challenging. FiftyOne is a data-centric platform designed to help teams explore, evaluate, and improve visual AI, and its plugin ecosystem is how the platform scales beyond the core. In this talk, we explore the FiftyOne plugin ecosystem from both perspectives: how users apply plugins to accelerate data-centric workflows, and how researchers and engineers can package their work as plugins to make it easier to share, reproduce, and build upon. Through practical examples, we show how plugins turn research artifacts into reusable components that integrate naturally into real-world visual AI workflows.

About the Speaker

Adonai Vera - Machine Learning Engineer & DevRel at Voxel51. With over 7 years of experience building computer vision and machine learning models using TensorFlow, Docker, and OpenCV.

Transforming Business with Agentic AI

Agentic AI is reshaping business operations by employing autonomous systems that learn, adapt, and optimize processes independently of human input. This session examines the essential differences between traditional AI agents and Agentic AI, emphasizing their significance for project professionals overseeing digital transformation initiatives. Real-world examples from eCommerce, insurance, and healthcare illustrate how autonomous AI achieves measurable outcomes across industries. The session addresses practical orchestration patterns in which specialized AI agents collaborate to resolve complex business challenges and enhance operational efficiency. Attendees will receive a practical framework for identifying high-impact use cases, developing infrastructure, establishing governance, and scaling Agentic AI within their organizations.

About the Speaker

Joyjit Roy is a senior technology and program management leader with over 21 years of experience delivering enterprise digital transformation, cloud modernization, and applied AI programs across insurance, financial services, and global eCommerce.