Machine Learning
Predicting Recidivism: a Case Study for Biased Algorithms

Predicting Recidivism: a Case Study for Biased Algorithms

If you are arrested and charged with a crime, you generally experience the following sequence of events: A grand jury decides whether there is sufficient evidence for a trial. A judge decides whether you can be out on bail while awaiting a trial. If the punishment is sufficiently severe, a jury decides whether there is...
How can we show that deep learning and the brain are related? Integration of Deep Learning and Neuroscience Final Post

How can we show that deep learning and the brain are related? Integration of Deep Learning and Neuroscience Final Post

As we’ve discussed in our previous posts, this paper on the integration of deep learning and neuroscience has been highly speculative. The authors have listed deep learning-inspired hypotheses about the brain and discussed how the brain may be consistent with those hypotheses. The concluding portion of the paper discusses potential experiments that could help prove...
Paper Review: An Integration of Deep Learning and Neuroscience, Part 3

Paper Review: An Integration of Deep Learning and Neuroscience, Part 3

In our previous post we talked about how the brain might optimize cost functions. Now we’ll explore how cost functions may be generated, represented, and change over time in the brain. Marblestone et al outline several ways that cost functions could be generated.  In particular, they talk about specialized circuitry for comparing the predicted output...