AI Paper Summary

Historically, thinking around decision-making has dichotomized habitual and goal-oriented behavior, treating them as independent activities controlled by distinct neural systems. Habitual behaviors, being automatic, are fast and model-free while goal-oriented behaviors, requiring deliberate action, are slower, model-based but demanding computationally. Microsoft researchers, however, have proposed an innovative Bayesian behavior framework that attempts to synergize these…

Generative models aim to replicate the patterns in the data they are trained on, often striving to replicate human actions and results. These models strive to match human proficiency in various tasks, but there is a debate over whether these models can surpass their human trainers. A new study from researchers at Harvard University, UC…

Modern bioprocess development is significantly influenced by machine learning (ML), which is a part of a wide range of analytics techniques, digitalisation, and automation methods. These tools generate large sets of experimental data which are crucial in the optimisation of bioprocessing methodologies. With the help of ML, these vast datasets can be efficiently examined to…