Filip Dvořák presents The 64th meeting of PRAGUE COMPUTER SCIENCE SEMINAR

Agentic AI – where symbolic and subsymbolic modeling converges

Filip Dvořák is a Czech-American artificial intelligence expert and
entrepreneur. He holds a doctorate in Artificial Intelligence from the Faculty
of Mathematics and Physics at Charles University in Prague and conducted
research at the University of Toronto, the Palo Alto Research Center (PARC), and
LAAS-CNRS in France. He has worked as a researcher for Google, Microsoft, and
SLB, and has been involved in several AI startups in the San Francisco Bay Area
that led to successful acquisitions. In September 2022, he co-founded Filuta AI,
a deep-tech company developing autonomous and composite AI systems that combine
symbolic reasoning with machine learning to enable agentic intelligence.

ABSTRACT:
While subsymbolic modeling (machine learning, large language models) excels at
capturing statistical patterns of the world from historical data, symbolic
modeling (constraint satisfaction, SAT solving, planning, knowledge graphs)
provides efficient reasoning on top of explicitly captured mechanics of the
world with various levels of abstraction. The efficient interleaving of these
two paradigms remains an open research challenge — one that underpins the next
evolution of composite AI, neurosymbolic AI, and, in contemporary terms, agentic
AI.

In this talk, we provide an overview of the state of the agentic AI field, and
we dive into the principles and techniques developed and deployed to production
by Filuta AI across industries such as energy, logistics, automotive, dual-use,
and digital entertainment.