Want to demo/play around with new analysis tech? Are you an academic using AI in your data analysis?
We’re building open-source tools to solve using private and unpublished data in AI workflows.
Help us help you (5min) https://t.co/lFr9fdEJx8
#AI#OpenScience#AcademicTwitter
@G_S_Bhogal “problem is not social media or chatbots. It’s curvilinear mazes. If we can avoid following smooth spirals to nowhere instead take sharp turns to clear destinations, we can stay aware…learn to use social media & chatbots in a to enrichour lives rather than impoverish them” ‼️
You spend more time on social media than you intend to, because time flows faster on these platforms, causing you to lose hours in what feels like minutes. This is no accident; it’s a result of a decades-long plot to steal your time.
My new essay.
https://t.co/7tnGcPxSK2
We just dropped a new FL library to support researchers and organizations grappling with Federated Learning projects.
Syft_Flwr combines Flower’s flexibility with the privacy-preserving networking capabilities of SyftBox.
Links in the thread ↓
Struggling to move your #FederatedLearning into production?
Research teams & prospective consortia with private/sensitive data:
We're offering partnership/pilot opportunities, infrastructure, & support to collaborate on Al without sharing data
Flower compatible!
Apply ↓
Cutting through AI hype to see/predict AI progress is hard — but important for:
- planning your AI career (what skills will be in demand?)
- investing in AI startups (who will win?)
- picking an AI employer
I've summarised leading techniques for predicting AI progress 👇
Phase 1 Complete! The Christchurch Call Initiative on Algorithmic Outcomes (CCIAO) just published a new technical report, advancing #AIsafety and accountability.
Read about it here: https://t.co/Wl5KSwEUxp
I really enjoyed being on this podcast with Nathan. In it, we covered several recently published events:
- Reddit's use of PySyft for external researcher access
- Anthropic/AISI's recent work with PySyft and GPU enclaves (announced in a grant-review webinar by @hlntnr a couple week ago)
- Work with PySyft and AI/algorithm user log access at Microsoft and DailyMotion.
And lots more commentary on the space! Hope you enjoy it.
I have been working with @iamtrask for the past few weeks, and it has been simultaneously extremely stimulating and enjoyable! Come on and join in on the fun! 👩💻👨💻
I've been hosting casual #FederatedLearning hackathons on Zoom... 2-3 people at a time
It's been fun! I wanna do some more...
If you'd like to learn about #FederatedLearning in a casual setting... send me your deets
https://t.co/AwwFZOJkHD
All are welcome.
Technical AI Governance research is moving quickly (yay!), so @ben_s_bucknall and I are excited to launch a living repository of open problems and resources in the field, based on our recent paper where we identified 100+ research questions in TAIG:
https://t.co/I0x9piS4jo
🧵
Ready to explore the power of #MachineLearning on #MedicalData without compromising privacy or disrupting your data science workflow?
Check out our latest tutorial to see how: https://t.co/Gu4GeP1FVJ"
Very excited to be moderating this event with @iamtrask and @IrinaMBejan, digging into their extremely cool work to enable more external scrutiny of high-stakes AI systems—while protecting privacy/IP/security.
Thurs 12pm ET (+ happy hour for DC folks!):
https://t.co/cnsw7OkK7l
What: CSET Webinar 📺
When: Thursday, 9/19 at 12PM ET 📅
How can AI developers innovate while respecting data privacy?
@iamtrask & Irina Bejan of @openminedorg will join CSET’s @hlntnr to discuss their work on privacy-enhancing tech.
Register now: https://t.co/id8VN7yb48
When data access is the problem, PySyft 0.9 is the solution.
Come learn how the latest version of #PySyft supports #DataScience:
🔒 Enhanced privacy
🛡️ Robust security
🚫 Misuse prevention
📚 New documentation site
Step-By-Step Guide: https://t.co/tz3XP05pbs
OpenMined Research is accepting applications! If you are excited to create novel research in #ML, #PPML, #privacy, #fairness, #accountability, or #transparency, please fill out [0] by 15 of April![0]: https://t.co/of9pipvfFX
We are deeply honored and excited to be partnering with the @NSF in the NAIRR pilot!
We're piloting #PySyft to help democratize access to non-public data, compute, & models across the USA — combining the best of safety, privacy, & use!
We're hiring!!!
https://t.co/evnOM2neuw
🌎 Global talent wanted!
@openminedorg seeks experienced Software Engineers, Data Scientists, Product Managers, Policy Experts and more for high-impact #AI projects.
Work from anywhere, contribute to #opensource, and democratize AI access.
Join Now!
https://t.co/92esBzlsX7
#aijobs #aicareers #mljobs #TechJobs #remotejobs #hiring