Big news: Anuma is officially here! 🚀
We're hosting a small gathering this Thursday in San Francisco as we celebrate the launch of Anuma.
Come through for light bites, drinks, and a first look at what we’ve been building. 🥂
The details:
📍 San Francisco
📅 Thursday, Apr 30 | 6:30pm
✨ Demos, drinks, & community vibes
#Anuma# #TechLaunch# #SFTech# #ArtificialIntelligence# #1HotelSF#
TechCrunch and Arrington Capital founder @arrington on how scary it is to be young today.
“I’m really scared for a lot of things right now. And the way I deal with that is not the doomerism... Just get out of your head and live your life.”
TechCrunch Disrupt 2026 is built around one question: How do you build an enduring company in the AI era? Our programming and speaker lineup reflect that.
TechCrunch Disrupt 2026 takes place October 13-15 in San Francisco. Over 300 startups will show what they’ve built to 10,000 tech leaders. Plus, 250+ speakers are ready to share insights across 200+ sessions. Register before doors open to save up to $100
TechCrunch Disrupt 2026 is built around one question: How do you build an enduring company in the AI era? Our programming and speaker lineup reflect that.
TechCrunch reported that Encord is working with Zander Labs to test a new physical-AI data pipeline: capturing first-person video and brain-wave signals while humans perform manipulation tasks.
This is not about “mind-controlled robots.”
The goal is to make training data more informative. Brain signals could help mark intent, error, surprise or cognitive load — context that video alone may miss.
Encord’s broader physical-AI data stack also includes in-field collection, teleoperation, multi-sensor data, annotation and deployment feedback.
Robots need structured examples of hands, tools, objects, motion, timing and failure cases to learn the physical world.