At last year‘s Edinburgh Science Festival, we organised a ‚Mathematics Showdown‘: five PhD students give engaging research talks for a general audience, the audience votes for a winner.
Here are the talks:
At last year‘s Edinburgh Science Festival, we organised a ‚Mathematics Showdown‘: five PhD students give engaging research talks for a general audience, the audience votes for a winner.
Here are the talks:
🔊 Super excited to announce the first ever Frontiers of Probabilistic Inference: Learning meets Sampling workshop at #ICLR2025 @iclr-conf.bsky.social!
🔗 website: sites.google.com/view/fpiwork...
🔥 Call for papers: sites.google.com/view/fpiwork...
more details in thread below👇 🧵
Today, the UK government announced a proposal to change copyright law - for the benefit of AI companies - that would cause huge, irreversible harm to creators.
More info below, but most importantly here's what you can do (wherever you live):
1. Email your MP. Template letter in 🧵 👇
1/10
Women are under-represented at senior levels in #academia globally, & across all #science 🧪 disciplines, as shown by these "scissor-shaped curves" ✂️
So how can we ever achieve #gender #equality?
We discuss various strategies in this #Cell Commentary
#WomeninSTEM
www.cell.com/cell/fulltex...
🧵 1/
Screenshot of Table of Contents (Part 1) Contents 1 Introduction 217 2 Positionality 221 3 Overview of Risks and Harms Associated with Computer Vision Systems and Proposed Mitigation Strategies 223 3.1 Representational Harms . . . . . . . . . . . . . . . . . . . 223 3.2 Quality-of-Service and Allocative Harms . . . . . . . . . . 229 3.3 Interpersonal Harms . . . . . . . . . . . . . . . . . . . . . 237 3.4 Societal Harms: System Destabilization and Exacerbating Inequalities . . . . . . . . . . . . . . . . . . . . . . . . . . 245 4 Frameworks and Principles for Computer Vision Researchers 266 4.1 Guidelines for Responsible Data and Model Development . 267 4.2 Measurement Modeling . . . . . . . . . . . . . . . . . . . 271 4.3 Reflexivity . . . . . . . . . . . . . . . . . . . . . . . . . . 273 5 Reorientations of Computer Vision Research 276 5.1 Grounded in Historical Context and Considering Power Dynamics . . . . . . . . . . . . . . . . . . . . . . . 276 5.2 Small, Task Specific . . . . . . . . . . . . . . . . . . . . . 279 5.3 Community-Rooted . . . . . . . . . . . . . . . . . . . . . 280
Screenshot of Table of Contents (Part 2) 6 Systemic Change 285 6.1 Collective Action and Whistleblowing . . . . . . . . . . . . 285 6.2 Refusal/The Right not to Build Something . . . . . . . . . 287 6.3 Independent Funding Outside of Military and Multinational Corporations . . . . . . . . . . . . . . . . . . . . . . . . . 289 7 Conclusion 291 References 293
Dear computer vision researchers, students & practitioners🔇🔇🔇
Remi Denton & I have written what I consider to be a comprehensive paper on the harms of computer vision systems reported to date & how people have proposed addressing them, from different angles.
PDF: cdn.sanity.io/files/wc2kmx...
“We’re not going to deal with the climate emergency or the fracturing of the foundations of democracy unless we can reassert a confidence in human thinking and judgment. And everything in the AI world is working against that.”
@philipcball.bsky.social speaks to @shannonvallor.bsky.social on AI
A recording of a mini-course (2 hrs with a small break in the middle) which I gave earlier this week. My intentions were to convey some good intuition, show some explicit examples and calculations, give plenty of references with which to go on, as well as to tell a few pretty silly jokes.
Releasing lectures and notes for an intro course on Statistical Detection & Estimation I used to teach. The core material hasn't changed (was an EE class) but it is as relevant today to AI researchers as ever before
Lecture notes
drive.google.com/file/d/1Zl_p...
YouTube
youtube.com/playlist?lis...
🔥Great workshop! — #NeurIPS workshop on Bayesian Decision-making and Uncertainty. \w @trappmartin.bsky.social
40,000 exabytes per year!
Thea Klaeboe Aarrestad talks about the need for nanosecond inference at the Large Hadron Collider. (That’s the raw data rate, we can’t keep it all)
A schedule of the planned events at the Queer in AI workshop at NeurIPS 2024. It will be held in West Meeting Room 202-204 at the Vancouver Convention Centre on 11 December. Opening Talk at 10 AM. Speaker session on "Designing Technology for Gender Transition" at 10:30 AM. Panel on "Queer Creative Storytelling" at 11 AM. Panel on "AI and Data Governance" at 1 PM. Co-working Session on "Participatory AI and Data Governance 1" at 2 PM. Sponsor Networking Session at 3 PM. Co-working Session 2 at 3:30 PM. Closing talk on "Queer Producing in Latin America" at 4:30 PM.
🌈🌈We have an incredible day planned for you at our #QueerInAI workshop at #NeurIPS2024 in Vancouver on December 11! You can join us in person or virtually via live-stream! Find out more about our events and our lovely speakers at queerinai.com/neurips-2024!! ✨✨
I'd love to be added! :)
The slides of my NeurIPS lecture "From Diffusion Models to Schrödinger Bridges - Generative Modeling meets Optimal Transport" can be found here
drive.google.com/file/d/1eLa3...
I'd love to be added! :)
I think I have been missed ;)
I'd love to be part of this list! :) appreciate you!
I would like to be added too! :-)