Robots that learn to kick-ass as they move🦿🍑 💥
Joined September 2007
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Welcome Felix Rudat to the crew!
Felix is joining as our Manufacturing Operations Lead at HYPR, bringing deep shop floor expertise in production automation and robotics to scale our assembly lines.
linkedin.com/posts/hyprlabs_…
.@MarwanRefaat appreciate you stopping by HYPR—the team had a blast showing you HYPRACTIVE™.
And thank you to Fractal Capital for checking out what we’re building up close and choosing to invest 🦾🔥
Drove through San Francisco with @TimKentleyKlay, co-founder and CEO of @hypr, while his AI, HYPRACTIVE, navigated downtown on 33 watts powering an NVIDIA Orin chip that runs HYPR's proprietary models built by just four engineers in two years, for under a million dollars.
Tim is a Melbourne-born designer turned robotics CEO who co-founded Zoox, the first company to operate a purpose-built, fully autonomous robotaxi and scaled it to $3.2B. He envisioned the car becoming a character in 2011, and spent the next decade and a half making that real. 125+ patents, $800M raised, and now CEO of HYPRLABS Inc - a small team coding a clean AI architecture and launching a completely new robot this summer.
The whole industry is throwing tens of billions at problems HYPR is solving with a computer the size of your fist and a hot-glued camera.
We're excited to welcome Adam El Youmi to HYPRLABS as our newest AI Engineer!
Master's in Mathematics from Centrale Nantes, Master's in Cybersecurity from Purdue — with deep expertise in AI, LLMs, and reinforcement learning. Glad to have him on the team.
#AI #MachineLearning #HYPRLABS
linkedin.com/in/adam-el-youm…
HYPRDRIVE™ and Run-Time Learning.
Our CEO @TimKentleyKlay explains on @RoadToAutonomy how we use Guidance Feedback to power our continuous learning framework.
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#AutonomousDriving #VisionOnly #MachineLearning
“The best way to train a neural network is at run-time, in-situ, on the robot.”
Inside the HYPRDRIVE™ test vehicle:
5 cameras · NVIDIA Orin AGX · 33W compute
Real-world autonomy in SF trained on ~1,600 hours of data. Learning happens while driving — not after. This is what run-time learning looks like.
Watch the full demo with @TimKentleyKlay & @gbrulte on @RoadToAutonomy: xitter.cf/RoadToAutonomy/status/…
10 billion miles of training data? Watch HYPRDRIVE™ autonomously driving in SF with just 10K miles of training data. Full demo is live on @RoadToAutonomy
xitter.cf/RoadToAutonomy/status/…
You asked. We drove. Following yesterday’s podcast, here’s the live, in-car drive with @timkentleyklay & @gbrulte.