Mirco Musolesi
mircomusolesi.bsky.social
Mirco Musolesi
@mircomusolesi.bsky.social

Professor of Computer Science. Machine Intelligence Lab, UCL AI Centre, Department of Computer Science, University College London.

Artificial Intelligence | Machine Learning | Computing | Books

https://www.mircomusolesi.org .. more

Computer science 51%
Physics 21%

This blogpost by Cal Newport is pretty good: "Forget Chatbots You Need a Notebook". calnewport.com/forget-chatb...
Forget Chatbots. You Need a Notebook. - Cal Newport
Back in 2012, as a young assistant professor, I traveled to Berkeley to attend a wedding. On the first morning after we arrived, my wife ... Read more
calnewport.com

Earthquake Prediction Flowchart

xkcd.com/3165/

Reposted by Mirco Musolesi

In fact, these look like insects and maybe they look like that to attract predators that will be able to spread them elsewhere. I would be very interested in an opinion from an expert. 2/2

More wonders of the natural world. Now some flowers of the plant in my office appear as if suspended in the void. This looks like a “technique” to invite pollinators. Or maybe it is a self-pollinating plant and these flowers contain seeds (?). 1/2

Reposted by Mirco Musolesi

The Singularity is Not Near.

Continents

xkcd.com/3159/

Reposted by Mirco Musolesi

Link to the source: www.bbc.co.uk/news/live/c5...
www.bbc.co.uk

And, by the way, regarding the value of a Computer Science degree in the "vibe-coding" era: one thing you learn in a good CS programme is how to design and build systems that are resilient and fault-tolerant. 2/2

Re the AWS outage, it’s quite cool that the BBC interviewed Ken Birman, who knows a thing or two about distributed systems. 1/2

We received the ACM UbiComp 2025 10-Year Impact Award for our paper “Trajectories of Depression: Unobtrusive Monitoring of Depressive States by means of Smartphone Mobility Traces Analysis” co-authored with the great Luca Canzian. Paper here: www.mircomusolesi.org/papers/ubico... #ubicomp2025

New preprint with Charles Westphal and Stephen Hailes: "A Generalized Information Bottleneck Theory of Deep Learning". In this work, we introduce the Generalized Information Bottleneck framework, a synergy-based reformulation of the Information Bottleneck theory. arxiv.org/abs/2509.26327

Lots of headlines claim graduates are more likely to be unemployed than non-graduates. Graduate unemployment panic makes good headlines, but the data says otherwise. Great analysis by @jburnmurdoch.ft.com. www.ft.com/content/ea9e...

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What the graduate unemployment story gets wrong
People with a degree are faring better, not worse than their non-graduate counterparts
www.ft.com

New preprint: “Complexity-Driven Policy Optimization”. The paper discusses a novel complexity-driven policy optimisation solution for efficient and robust approximation in Reinforcement Learning. Essentially, entropy alone is not sufficient, we also need "structure".
📢 New Paper!

We replace the entropy bonus in PPO with a *complexity* bonus, encouraging structured and stochastic policies that are robust to different scaling factors and can work in environments with variable exploration needs.

Read more:
arxiv.org/abs/2509.20509

w/ @mircomusolesi.bsky.social
Complexity-Driven Policy Optimization
Policy gradient methods often balance exploitation and exploration via entropy maximization. However, maximizing entropy pushes the policy towards a uniform random distribution, which represents an un...
arxiv.org