The paper (arXiv 2020, also AI review 2023) opens up with discussing recent high-profile AI debates: the Montréal AI Debate and the AAAI 2020 fireside chat with Kahneman, Hinton, LeCun, and Bengio. A consensus seems to be emerging: for AI to be robust and trustworthy, it must combine learning with reasoning. Kahneman's "System 1 vs. System 2" dual framing of cognition maps well to deep learning and symbolic reasoning. And AI needs both.| Metadata
The paper (2023) argues for integrating two historically divergent traditions in artificial intelligence (neural networks and symbolic reasoning) into a unified paradigm called Neurosymbolic AI. It argues that the path to capable, explainable, and trustworthy artificial intelligence lies in marrying perception-driven neural systems with structure-aware symbolic models. | Metadata
This EuroSys 2025 paper wrestles with the messy interface between formal specification and implementation reality in distributed systems. T...| muratbuffalo.blogspot.com
This paper (NSDI'25) applies lightweight formal methods (hence the pun "smart casual" in contrast to formal attire) to the Confidential Con...| muratbuffalo.blogspot.com
I have been teaching a TLA+ miniseries inside AWS. I just finished the 10th week, with a one hour seminar each week. I wanted to pen down my...| muratbuffalo.blogspot.com