The Design of Private: A Privacy Preserving Probabilistic Language

Increasingly, the human sciences are employing big dense data sets to better characterize biological, psychological and social processes. The models required to capture these processes are becoming sophisticated and compute intensive requiring clusters and distributed data stores to realize. Rather than focus on the development of the models and the interpretation of results, researchers must […]

Read More The Design of Private: A Privacy Preserving Probabilistic Language

StarCraft II players don’t train for 200 years – the limits of current AI

Having conquered games like chess and go, AI researchers are now tackling real time strategy games like Starcraft and Dota. AlphaStar, a product of Google’s DeepMind research labs, has beaten some of the worlds best Starcraft 2 players and Microsoft recently, invested $1 billion in OpenAI and company that has worked on the game Dota […]

Read More StarCraft II players don’t train for 200 years – the limits of current AI

The Promise of Big Data Approaches in Memory Research

Most empirical research in psychology either involves administering surveys across a cohort or occurs in the laboratory. While a great deal has been learned about psychological processes using these methods, they provide very sparse samples of human behaviour under quite unnatural conditions. Experience sampling methods (Csikszentmihalyi & Larson, 1992) use smartphones, wearable sensors, social media […]

Read More The Promise of Big Data Approaches in Memory Research