Microsoft has released a white paper of sorts outlining what the company is doing to secure user data within Windows Recall, the controversial Windows feature that takes snapshots of your activity for later searching. As of late last night, Microsoft still hasn't said whether they will release Recall to the Windows Insider channels for further testing as originally planned. In fact, Microsoft's paper says very little about Recall as a product or when they will push Recall live to the public. Recall was first launched back in May as part of the Windows 11 24H2 update and it uses the local AI capabilities of Copilot PCs. The idea is that Recall captures periodic snapshots of your screen, then uses optical character recognition plus AI-driven techniques to translate and understand your activity.

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Dear friends, Welcome to the July 4th issue of the Sunday Briefing. This week we're happy to announce the second post of "Visualization for Science" substack: Time Series State Map so check it out and don't forget to Subscribe to V4Sci so you never miss a post! You can also checkout the latest post at G4Sci: Network Motifs: Frequent patterns in Graphs where we introduce the ESU algorithm for exhaustive enumeration of all subgraphs of a given size. You should Subscribe to G4Sci to make sure you never miss a post! Over at Medium, Competing CoVID-19 Strains is the most recent post on the Epidemiology series and Mediation is the latest for the Causality series while we continue to work on the particularly long section 3.8 of the Primer.

Dear friends, Welcome to the mid-August issue of the Sunday Briefing. We're proud to announce the latest in our string of new webinars. This new course will continue the exploration of Causal Inference that we've been working through on the blog while diving a bit deeper in some aspects with practical examples and highlighting connections to the broader field of Machine Learning. If you're interested can already sign up for the first edition occurring on Oct 16. The latest post on our Causal Inference journey is now out and it dives into Chapter 2 with a look at Chains and Forks, two common motifs in Graphical models and explores their consequences.

Dear friends, Welcome to the August 2nd edition of the Sunday Briefing. This weeks issue is filled up to the brim with exciting content. This week we continue our exploration of Epidemic Models and their application to CoVID-19. Our latest post in this series looks at Network Structure, Super-Spreaders and Contact Tracing. As always, all the code is available in our Epidemiology101 GitHub repository.

I hope you found the last few posts on search easy to learn yet challenging enough to keep you going. I'd love to hear your feedback so I can improve these tutorials. So far we've been discussing the topic of search, but the breadth-first search algorithm we implemented is hardly'intelligent'; the algorithm follows a simple set of rules to reach its goal state. To have the machine make more reasoned'choices', we need to go beyond blindly following these rules. This week we'll put more of the I into AI with a new topic: stochastic models.