The signature is alluding to NVIDIA GTC 2015, where Jensen excitedly told an audience of, at the time, mostly gamers and scientific computing professionals that Deep Learning is The Next Big Thing, citing among other examples my PhD thesis (one of the first image captioning systems that coupled image recognition ConvNet to an autoregressive RNN language model, trained end to end). This was back when most people were still unaware and somewhat skeptical but of course – Jensen was 1000% correct, highly prescient and locked in very early. [Translated from EN to English]
MACHINE LEARNING
-
MiniMax M2.x Insight: Models Must Recursively Evolve Their Own Harness
By
–
The model’s ability to recursively evolve its own harness is critical – Insight from MiniMax as they iterate through M2.x
-
Mouse-Inspired Robot Learns Brain-Like Place Recognition
By
–
How a Mouse-Inspired Robot Learns to Recognize Places Like a Brain
— Ronald van Loon (@Ronald_vanLoon) 18 mars 2026
by @lukas_m_ziegler
#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/mYyjnlLD6kHow a Mouse-Inspired Robot Learns to Recognize Places Like a Brain
by @lukas_m_ziegler #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology -
Robotic Hand Achieves Faster Than Human Reflexes Speed
By
–
Faster Than Human Reflexes: A #Robotic Hand Redefining Speed and Precision
— Ronald van Loon (@Ronald_vanLoon) 18 mars 2026
by @sciencegirl
#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/bVb1cWuWTxFaster Than Human Reflexes: A #Robotic Hand Redefining Speed and Precision
by @sciencegirl #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology -
Hyperscaling compute: history’s biggest bet or failure?
By
–
Big implications, folks, for today's new reports on the thymus gland and healthspan —Our thymus gland largely involutes after the teenage years, but AI used to determine its persistent level of health
—Healthy adult thymus linked to an array of remarkably improved health -
Unit Economics of Inference in AI Models
By
–
Unit economics of inference is something I wish more people talked about. Will give this a listen!
-
NVIDIA CUDA: 20 Years Empowering 6 Million Developers
By
–
In 2006, NVIDIA made a bold bet on a parallel computing platform that would eventually redefine the limits of science and industry. 20 years later, CUDA serves as the foundation for 6 million developers worldwide—and we are only just beginning. Join the next wave of architects
-
Discussing local AI models, reliability, and community engagement
By
–
as i think about the challenges of filtering ai content and replies, i’m reminded of this quote by a park ranger on the challenges of designing trash cans: “there is considerable overlap between the intelligence of the smartest bears and the dumbest tourists”
-
Mastering Multi-Object Tracking with Roboflow and OpenCV
By
–
Mastering Multi-Object Tracking with Roboflow & OpenCV From tracking basketball players to monitoring traffic, detection alone isn’t enough-you need Multi-Object Tracking (MOT). With Roboflow Trackers + OpenCV, you can assign persistent IDs to objects across frames, even
-
Chaos Agents: Multiple AI Systems Unpredictable Interactions
By
–
Chaos Agents: When Multiple AI Systems Interact in Unpredictable Ways
— Satya Mallick (@LearnOpenCV) 18 mars 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore Chaos Agents, a concept that examines what happens when multiple AI agents interact, collaborate, or compete within the same… pic.twitter.com/ZdJuoPb31YChaos Agents: When Multiple AI Systems Interact in Unpredictable Ways In this episode of Artificial Intelligence: Papers and Concepts, we explore Chaos Agents, a concept that examines what happens when multiple AI agents interact, collaborate, or compete within the same