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Microsoft Research offers a research-focused view of computing, with talks and workshops spanning generative models, biological applications, data structures and communication security. The episode…
Microsoft Research offers a research-focused view of computing, with talks and workshops spanning generative models, biological applications, data structures and communication security. The episode titles retain the vocabulary of the underlying work, including Gibbs sampling, convex potentials and probabilistic inference. That level of specificity makes the selection especially relevant to researchers, advanced students and technical viewers looking for the questions being investigated within a field.
Generative modelling and sampling form a substantial cluster. Workshop recordings sit alongside talks on the existence and limitations of one-shot generative flows and ways to control diffusion models through probabilistic inference. A discussion of generative Gibbs sampling introduces the role of explicit physical context. These subjects allow viewers to follow distinct research approaches within a shared area, with the mathematical formulation remaining visible in the way the talks are presented.
Applied work widens the picture. An introduction to Quine explores its role in AI research on the complexity of biology, while another episode explores AI agents for therapeutic reasoning across biological contexts. Elsewhere, a talk asks how AI changes power system planning. The selection therefore connects methodological research with questions arising in particular scientific and infrastructure settings.
Systems and security topics provide further routes in, including index trees designed to avoid thread switches and stalls, and an analysis of encryption in group messaging. Viewers can choose a specialised talk or spend longer with the workshop material. The channel provides a way to encounter research problems in their own technical terms and see how different areas of computing approach questions of modelling, scale and application.
Latest episode
Security and Privacy in the Underserved Majority World: Practices, Challenges, and Opportunities
Recent developments in security and privacy have emphasized the need to consider human factors in security and privacy research and design. At the same time, however, most of the existing body of…
Recent developments in security and privacy have emphasized the need to consider human factors in security and privacy research and design. At the same time, however, most of the existing body of work has focused on Western populations, particularly in the US and Europe, despite other research showing that security and privacy perceptions and practices vary across countries and cultures. Consequently, the security and privacy solutions designed and evaluated in the West can quickly fall apart when used or applied to other regions in the “majority world,” leaving end-users at risk.
In this talk, Collins will draw from a series of studies across the majority world to highlight unique security and privacy challenges. The first part will focus on Kenya, examining privacy tensions with mobile loan applications and cybercafes. The second part will go beyond Kenya to show how these challenges recur across other majority world contexts. Finally, he will discuss solutions to these challenges before sharing promising directions for future work.
Speaker: Dr. Collins Munyendo, University of California, Berkeley; National University of Singapore
Hosts: Stephanie Nyairo, Millicent Ochieng, Microsoft
See more at:
https://www.microsoft.com/en-us/research/video/security-and-privacy-in-the-underserved-majority-world-practices-challenges-and-opportunities/
https://www.microsoft.com/en-us/research/lab/microsoft-research-lab-africa-nairobi/seminars/
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