Understanding the brain with AI-driven explanations and experiments
Researchers introduce generative causal testing, which translates black box models into clear hypotheses and verifies them in the scanner, revealing what specific brain regions respond to in language.
Senior Applied Scientist
We seek a Senior Applied Scientist with expertise in Machine Learning, Generative AI, Agentic Modeling, Data Science, or related areas. The ideal candidate should be passionate about generative modeling, experimental prompt tuning, and large-scale modeling…
The Policy Layer that Governs Africa’s Algorithmic Ecosystem
Watch Dr. Jane Munga in this seminar session where she presents findings from the Africa Technology Policy Tracker (AfTech), a systematic repository of digital economy strategies, laws, and regulations across Africa. AfTech helps examine what…
Inferring Unobserved Trajectories from Multiple Temporal Snapshots
Practitioners often aim to infer an unobserved population trajectory using sample snapshots at multiple time points. E.g. given single-cell sequencing data, scientists would like to learn how gene expression changes over a cell’s life cycle.…