Thoughtworks E4R Symposium 2020
2020-10-10..2020-10-11
-- online --
| title | author | length |
|---|---|---|
| Automating Science using Robot Scientists | Ross D King | 39m |
Robot scientists Adam and Eve execute full hypothesis cycles: Adam uses logic in Prolog and abductive inference over a directed labeled hypergraph of yeast… | ||
| Accelerated Discovery to Knowledge using Machine Learning | Dr. Abhishek Singh | 41m |
A materials ML workflow that ships a public MXene database and working models: a 23,000 MXene entries DFT catalog plus GW-calibrated regressors that predict… | ||
| Project Aristo: Towards Machines that Understand Science | Peter Clarke | 32m |
Project Aristo is a system that answers Grade 8 New York Regents non‑diagram multiple‑choice science questions, reaching over 90% after adding neural language… | ||
| Quantum Technologies: Quantum Computing & Secure Quantum Communication | Urbasi Sinha | 38m |
Photonic lab builds single‑photon sources via spontaneous parametric down‑conversion, implements higher‑dimensional qutrits (two qutrits nearly maximally… | ||
| Two Defeasible Challenges for algorithmic Scientific Discovery | Benjamin Jantzen | 33m |
Argues there are two defeasible obstacles to automated theory and ontology creation: conceptual inertia — the assumption that new concepts must resemble… | ||
| Creating the Engine for Scientific Discovery | Hiroaki Kitano | 42m |
Proposes the Nobel Turing Challenge: build AI systems that autonomously make Nobel-caliber discoveries by 2050. Describes a stack: a galada connectivity… | ||
| Modeling as Mind Redesign: Why participatory AI is better | Sanjay Chandrasekharan | 45m |
Argues that redesigning mental models through co‑design produces better AI for learning by building and testing concrete prototypes: agent‑based simulations… | ||
| AI & Human Decision Making | Mary-Anne Williams | 42m |
Robotics teams build autonomous AIBO and Pepper systems that win RoboCup challenges, record a 16-0 score, and later win a world championship while requiring a… | ||
| Computational Creativity | Vikram Jamwal | 51m |
Computational systems now generate artifacts that people accept as valuable: a marimba robot that improvises and collaborates autonomously with 4 arms 8… | ||
| Beyond Intelligence: AI and the Sociality of Scientific Discovery | Sundar Sarukkai | 45m |
Examines whether AI can reproduce the messy ingredients of breakthrough science — serendipity, dreams, mistakes, ignorance and doodling — and asks how machines… | ||
| nothing matches | ||