inferencelayer.ai
The Inference Layer
A new podcast covering the intricate systems, chips, and stacks that define the inference layer and the complexities of moving AI models from training to real-world deployment. The Inference Layer operates as a community-driven initiative, linking a diverse network of university labs, AI specialists, and supporting partners through a volunteer-led framework - coordinated by the Princeton School of AI meetup group and producers of the Humanitarian AI Today podcast and the University of Pittsburgh's Health and Explainable AI podcast.
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inferencelayer.ai
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18 mar 2026
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Federico Pierucci on Multi-Agent Risks in Humanitarian Aid at The Inference Layer 18.03.2026 39:22
This third pilot episode of The Inference Layer bridges the technical complexities of AI deployment with the reality of humanitarian operations, featuring a deep dive into the transition from static models to autonomous agentic systems. On behalf of the Humanitarian AI Today podcast, guest host Patrick Hassan, an AI policy lead with a background in disaster response, interviews Federico Pierucci,...
Alexandre Marques from Red Hat on Tackling the Hardest Problems in Open Source Inference 20.02.2026 14:19
Alexandre Marques, Engineering Manager and Team Lead of Machine Learning Research at Red Hat and former Manager of Machine Learning Research at NeuralMagic, speaks with the University of Pittsburgh’s Health and Explainable AI podcast producer, Brent Phillips, about Red Hat and his team’s work building and maintain platforms that power open-source AI inference at scale. In this pilot episode of Th...
Manuela Nayantara Jeyaraj Discusses Explainability at the Inference Layer 29.01.2026 23:25
Manuela Nayantara Jeyaraj, a PhD student and researcher at the The Applied Intelligence Research Centre (AIRC) within the Technological University Dublin speaks with the University of Pittsburgh’s Health and Explainable AI podcast producer, Brent Phillips about explainability at the inference layer. In this pilot episode of The Inference Layer, Manuela discusses her award-winning work on identifyi...
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