Welcome to 10th TMLS
Virtual Sessions & Talks - June 16th
Please click on the individual Join Now button to access the sessions. Please click on the individual Join Now button to access the session.
Virtual Day
9:00 AM - 9:10 AM
Opening Remarks
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9:10 AM - 9:40 AM
Humans and Continual Learning AI Agents: The Journey
Manuela Veloso, Herbert A. Simon University Professor Emerita
Carnegie Mellon University
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9:45 AM - 10:15 AM
The Scaling of Memories and Goals: The Basis of Intelligence in Diverse Embodiments
Michael Levin, Professor / PI,
Tufts University
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10:20 AM - 10:50 AM
Hallucination in LLMs: Detection, Mitigation, and Root Cause Awareness
Ahmad Pesaranghader, Applied AI Research Scientist
CIBC
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From Single Agent Evolution to Multi-Agent Synergy
Bang Liu, Associate Professor
University of Montreal & Mila
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10:55 AM - 11:25 AM
Voice Agents Aren't Chatbots With a Microphone
Rod Rivera, Developer Relations Engineer
Rasa
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How to Build a Virtual Cell
Bo Wang, Associate Professor, Chief AI Scientist
University of Toronto, University Health Network
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11:30 AM - 12:00 PM
From Detection to Resolution: Multi-Head LSTM Anomaly Detection and Agentic Explainability
Ramin Mardani, Machine Learning Engineer
TELUS
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INSPIRE: Intent-aware Neural Sponsored Product Retrieval for E-commerce
Shasvat Desai, Staff Machine Learning Scientist
Walmart Global Tech
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Why Your RAG Agent Is Confidently Wrong: Retrieval Choices That Actually Matter
David vonThenen, Senior AI/ML Engineer, Office of the CTO
NetApp
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12:05 PM - 12:35 PM
Evaluating AI in Production – A Practical Guide
Mengying Li, Head of Data
Braintrust
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Emulating Real-World PII with a Large-Scale Synthetic Dataset to Audit LLM Memorization
Sriram Selvam, Senior Software Engineer | Anneswa Ghosh, Applied Scientist
Microsoft
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12:40 PM - 1:10 PM
Towards Building Safe and Secure AI: Lessons and Open Challenges
Dawn Song, Professor, Computer Science & Director of Berkeley RDI
UC Berkeley
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1:15 PM - 1:45 PM
Encrypted Inferences Over Decision Trees
Alex Shpurov, CTO | Daniel Johnson, Software Engineer
01 Quantum
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Evaluating Netflix Show Synopses with LLM-as-a-Judge
Cameron Wolfe, Staff Research Scientist
Netflix
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1:50 PM - 2:20 PM
Deploying Multi-Agent Systems in Regulated Enterprise Workflows
Zeke Miller, Director, Machine Learning Engineering
Workday
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Agentic Financial Reasoning with Knowledge Graphs and LLMs
Abhinav Arun, Senior AI Research Scientist
Domyn
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2:25 PM - 2:55 PM
Fine-Tuning LLMs for Real-World Tool Calling: Lessons from Tau2-Bench
Kai Wei Tan, Senior Forward Deployed Engineer
Coreweave
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Optimizing Vector Search: Why You Should Flatten Structured Data. An Analysis of How Flattening Structured Data Can Boost Precision and Recall by Up to 20%
Oleg Tereshin, Senior Software Engineer,
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3:00 PM - 3:30 PM
Putting Resilient, Self-Recovering Agents in Production
Niels Bantilan, Chief ML Engineer
Union.ai
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The Vicious Loop: Why Stateless Agents Fail in Production and How We Built Episodic Memory to Fix It
Dippu Kumar Singh, Leader of Emerging Technologies (Apps),
Fujitsu North America Inc.
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3:35 PM - 4:05 PM
Automated and Scalable RAG: Vector Stores, MCP, Clustering
Matthew Mazzarell, AI Lead, Financial Services, Americas
Teradata
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Beyond “System Complete”: Shipping Globally with Agentic Commerce Orchestration
Amit Kumar Padhy, Senior Computer Scientist II
Adobe Inc.
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4:10 PM - 4:40 PM
From Inventory to Accelerator: What Happens When a Large AI Org Builds Data Products No One Can Find
Mendelsohn Chan, Staff Deployment Architect, Applied AI
Alation
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Jailbreaking the Blockchain: How I Used Game Theory to Map Prompt Injection Attack Surfaces in Agentic Systems
Naga Sujitha Vummaneni, Senior Security Engineer
Ripple
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