What we’re about
The USF Data Science Speaker Series is produced by the Data Institute. This group brings researchers and practitioners together with students in the MS in Data Science graduate program, faculty, and interested members of the public to discuss topics of interest in analytics and data science.
Talks take place in-person on Fridays from 12:30-2:00 pm at the USF Campus in Downtown San Francisco, located at 101 Howard Street. You may view the schedule below and we encourage you to bring your lunch.
Talk recordings are made available subject to speaker permission. You can find the recorded talks at https://www.youtube.com/channel/UCN0kf0sI01-FXPZdWAA-uMA
Upcoming events (2)
See all- Deep dive into LLM Apps with AdalFlow Part 1101 Howard St, University of San Francisco - Downtown Campus, San Francisco, CA 94105, San Francisco, CA
Join us for the USF Data Science Speaker Series featuring Li Yin, the author of AdalFlow, a powerful library designed to build and optimize large language model (LLM) task pipelines. With a strong background in artificial intelligence and machine learning, she has focused her work on developing tools that improve the efficiency and adaptability of LLM applications. Under her leadership, AdalFlow has quickly gained recognition, earning nearly 800 stars on GitHub.
Li’s dedication to the AI community is reflected in her ongoing research contributions—with multiple papers forthcoming—and her commitment to building model-agnostic solutions that support both developers and researchers.
In this talk, Li will demonstrate how to use AdalFlow to:
- Build chatbots
- Create retrieval-augmented generation (RAG) systems
- Develop intelligent agents
- Auto-optimize prompts for better model performance
🔗 RSVP now to explore the cutting-edge of LLM optimization with Li Yin!
#USFDataScienceSpeakerSeries #DataScience #MSDS #AI #MachineLearning #LLM #OpenSourceAI #AdalFlow #RAG #Chatbots #AIResearch #ModelOptimization #TechInnovation #AICommunity #GitHub #DataScienceTools
- The Next Frontier of Data Science At The Edge101 Howard St, University of San Francisco - Downtown Campus, San Francisco, CA 94105, San Francisco, CA
Join us for the USF Data Science Speaker Series featuring George Williams, an AI Software and Hardware Consultant.
There are billions of computers running in the world today—not just high-powered CPUs and GPUs in data centers, but also everyday devices like laptops, phones, and tablets, as well as tiny computers embedded in appliances, medical devices, satellites, drones, and robots. By 2030, this number is expected to reach 40 billion globally, with many of these devices featuring built-in AI. In just a few years, we may see more deployed AI models than people on the planet.
This pending tsunami of ubiquitous, AI-infused devices is taking shape now, accelerated by a perfect storm of technology convergence. Compression techniques such as mixed precision quantization and distillation can deliver dramatically smaller models that can run at the edge. Advances in chiplet architectures and chip fabrication methods are pushing the limits of size, memory, and power budgets for running models efficiently in compact microelectronics. Communication protocols such as Anthropic's MCP are setting new standards in how models not only consume multi-modal data, but also how agentic models act collectively.
In this talk, George will chart the path from current trends to a near future where machine intelligence is everywhere. In some cases it's autonomous and isolated, while in others it's massively distributed and collaborative. He'll motivate the discussion with specific examples from my experience building distributed autonomy in drone swarms and efficient algorithms that run models in satellites.
He’ll also highlight the emerging role of the embedded system data scientist, equipped to take on challenges such as:
On-device reinforcement fine-tuningDistributed decision-making by agents
Graph and vector databases optimized for compact systems
AI-driven hardware and chip design
Novel cybersecurity strategies for edge AI systemsRSVP now to secure your spot and explore the next frontier of AI!
#USFDataScienceSpeakerSeries #DataScience #MSDS #AIHardware #EdgeAI #EmbeddedSystems #AIEverywhere #TechFuture
