All tagged machine learning
Most AI systems learn in isolation and adapt only through retraining. But intelligence in nature works nothing like that. In this post, I share the foundational question that led me to leave a stable career and build something different.
Years before I founded Wakeline, I let a self-learning AI watch Los Angeles traffic and adapt in real time, with no retraining. A look back at an early continuous learning experiment.
Wie ich mit einem selbst-lernenden Algorithmus Staus auf der A39 bei Wolfsburg vorhergesagt habe. Ein frühes Experiment mit kontinuierlichem Lernen, das sich in Echtzeit anpasst.
Self-learning AI Experiment Update: Witness the system's self-learning process and evolving predictions in response to new challenges in a tower defense-style game.
I’ve explored AI movement prediction in Airstriker Genesis via OpenAI Retro Gym and developed a prototype for real-time adaptation without prior training. Video showcases predictive output alongside live gameplay. Focus on refining horizontal movement detection and implementing knowledge sharing for consistent predictions.
We are blasted with articles, products and books about Artificial Intelligence. Meanwhile, we must make decisions on whether a product is really benefiting from ‘AI’ or whether that is just a marketing gimmick. I’m making the case why it’s vital to be able to distinguish between the two.
A summary of the original research paper of the inner workings of the winner of AlphaGo vs Lee that I did for my Udacity Artificial Intelligence Nanodegree.
I took a Udacity online course in artificial intelligence, machine learning and image recognition. I thought it prepared me well for real-life challenges in coding neural networks. Boy, was I wrong.