Computer Sciences

Large sequence models for sequential decision-making

Transformer architectures have facilitated the development of large-scale and general-purpose sequence models for prediction tasks in natural language processing and computer vision, for example, GPT-3 and Swin Transformer.

Computer Sciences

Rethinking algorithmic decision-making based on 'fairness'

Algorithms underpin large and small decisions on a massive scale every day: who gets screened for diseases like diabetes, who receives a kidney transplant, how police resources are allocated, who sees ads for housing or employment, ...

Computer Sciences

How to put an end to gender biases in internet algorithms

Endless screeds have been penned on whether the internet algorithms with which we constantly interact suffer from gender bias, and all you need to do is carry out a simple search to see this for yourself.