Video by CNCF [Cloud Native Computing Foundation] via YouTube
Being a CNCF Ambassador gave Chamod Perera visibility across the ecosystem, and he’s used it to give back: organizing events like KCD Sri Lanka, contributing to cloud native projects, and speaking at conferences and meetups.
#CloudNative #CNCF #KubeCon #CNCFAmbassador
Video by Meta Open Source via YouTube
Watch the latest updates from the research community at the Third Joint Egocentric Vision (EgoVis) Workshop at CVPR 2026 in Denver, Colorado! 🚀
This year’s workshop dives deep into how wearable cameras and AR/VR devices leverage AI to understand human behavior, predict object interactions, and map environments in 3D.
0:01 Tushar Nagarajan – Introduction
6:36 Marc Pollefeys – Keynote
36:30 Luigi Seminara – ViterbiPlanNet with
41:08 Tim Engelbracht – Hoi! – A Multimodal Dataset for Force-Grounded, Cross-View Articulated Manipulation
46:12 Olga Loginova – How to Correctly Make Mistakes
51:25 Enrico Pellota – EgoControl: Controllable Egocentric Video Generation via 3D Full-Body Poses
57:01 Saurabh Gupta – Keynote Video Understanding for Robot Learning
1:27:37 Challenge Results
2:10:47 C V Jawahar – Keynote
2:43:37 EgoVis Distinguished Papers Award
3:09:02 Lorenzo Torresani – Where Perception Isn’t Enough: Anticipation, Guidance, and Reasoning Over Video
3:41:01 Willy Chung – Action 100M
3:46:58 Hao Li – Xperience 10M
3:51:43 Tengda Han – Unique Lives, Shared World: Learning from Single-Life Videos
3:59:43 Alexandros Deltizas – Reconstructing Functional 3D Scenes from Egocentric Interaction Videos
4:05:05 Hazel Doughty – The Devil is in the Details: Towards Fine-Grained Understanding with Limited Supervision
4:35:06 Ziwei Liu – From Egocentric Experience to Interactive Intelligence
5:04:55 CV Jawahar, Dima Damen, Saurabh Gupta, Hazel Doughty, Jakob Engel, Ziwei Liu – Panel Discussion
5:36:27 James Fort – Project Aria Updates
🔗 Full details, challenge leaderboards, and accepted papers: https://egovis.github.io/cvpr26/
Like and subscribe to the Meta Open Source Channel for more updates from CVPR 2026!
#CVPR2026 #CVPR #EgoVis #EgocentricVision #AI #ComputerVision #Robotics
Video by Open Data Science and AI Conference via YouTube
Future AI Healthcare: Agentic Web Roadmap Explained
Want to learn more about AI in person? Check out ODSC AI West 2026, coming to Burlingame this October 27th-29th: https://hubs.li/Q04cYsmk0
#DataScience #AI #ArtificialIntelligence #odscai
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Video by The Late Night Linux Family via YouTube
Support us on Patreon and get an ad-free RSS feed with some early episodes. https://www.patreon.com/LateNightLinux
A great example of accessibility features benefitting more than the target audience, a new version of the classic game Nethack, checking for bufferbloat, and Windows 10 limps on in discoveries. Then Félim’s question about the perceived value of open source goes in unexpected directions.
https://latenightlinux.com/late-night-linux-episode-393/
Video by SAP via YouTube
What do data and AI leaders really think when you put them on the spot?
We caught up with speakers at the Fabric of Data & AI for some quick-fire questions, from AI priorities to what’s actually holding organizations back.
Short answers. Real perspectives.
Take a look. 👀
https://events.sap.com/fabric-of-data-and-ai/en_us/home.html?source=social-glo-orgsocial-bdcsurge
#SAPBusinessDataCloud #BDC #DataFabric #AI
Video by TWiT Tech Podcast Network via YouTube
Learn more about TWiT at https://twit.tv/
TWiT.tv provides news, commentary, help & how-to, reviews, and perspective on the latest trends in digital tech. Join Leo Laporte and Mikah Sargent along with other seasoned experts and journalists, for over a dozen shows focused on different areas of technology.
Video by The Linux Foundation via YouTube
Paul E. McKenney, Software Engineer at Meta, and Shuah Khan will talk about Paul’s experience as a kernel developer and maintainer, taking questions from the attendees. Paul will share what works and what doesn’t for him and strategies, interpersonal and technical skills and mindset that help him stay engaged for a longer term.
Key Takeaways: Open Source AI is Booming, But Monetization Lags This week’s news paints a picture of a rapidly maturing open-source AI ecosystem, with major releases, research dominance, and infrastructure building. However, a persistent challenge remains: turning open-source AI into a sustainable business model. Alibaba’s struggles echo broader industry concerns. Meanwhile, ReactOS’s milestone shows open-source … Read more
Video by OpenAI via YouTube
Derya Unutmaz, M.D., an immunologist and professor at The Jackson Laboratory, chats with Romain Huet about building tools for biology with Codex and a future where AI helps scientists simulate experiments.
00:00 Builders Unscripted Episode 5
09:17 Cell analysis with Codex
13:26 Simulating immune cells
29:48 The future of AI-powered science
Video by Hugging Face via YouTube
Meet Tau — a small, readable coding agent written in Python. In this quick tour, I introduce Tau, show how to install and run it, configure model providers (Hugging Face Inference Providers, GLM 5.2, Minimax, Kimi), resume durable sessions, and walk through its three-layer architecture: tau_ai (provider-neutral model streaming), tau_agent (the reusable agent loop/harness), and tau_coding (the TUI, tools, sessions, and coding-agent environment). Tau is designed as an educational reference inspired by Pi — minimal, modular, and easy to build on. If you want to understand how coding agents actually work, this is a great place to start.
—
🤓 *Topics Covered*
– Tau terminal coding agent overview
– Coding agent architecture layers
– Hugging Face inference providers setup
—
🔗 Links
– Tau website: https://twotimespi.dev
– Tau repo (contributions welcome!): https://github.com/huggingface/tau
– Pi (architectural inspiration): https://pi.dev
– Install Tau: `uv tool install tau-ai`
—
👋 Connect with me
– My website: https://alejandro-ao.com/
– X (Twitter): https://x.com/_alejandroao
– LinkedIn: https://www.linkedin.com/in/alejandro-ao/
—
⏱️ Timestamps
0:00 Introduction
2:04 Quick tour: install & launch
3:47 Login & model providers
4:19 Select a model
4:32 Scoped models
5:27 Sessions & resume
5:56 Thinking levels
6:33 Contributing & upcoming tutorials
7:34 Architecture: tau_ai, tau_agent, tau_coding
8:58 Closing
