Parth Asawa

CS PhD student, UC Berkeley

Speaking in 1 session at AI Engineer World's Fair 2026 — unofficial import demo

Bio

Parth Asawa is a PhD student at UC Berkeley advised by Professor Matei Zaharia and Professor Joey Gonzalez. Parth's research is on continual learning, studying how to enable models to stably learn from streams of experiences over time. His work focuses on sample-efficient learning and spans the stack of data, learning algorithms, architectures, and evaluation.

Sessions

Beyond Static Intelligence: Evaluating Continual LearningWednesday, July 1 · 10:45 AM – 11:05 AM · Track 3Memory & Continual Learning

For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpoints

JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents

No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.