TRURL.AI – The first Polish alternative to ChatGPT The Internet has changed since the launch of ChatGPT in November last year. These changes have accelerated the development of AI models across various companies, including Voicelab.ai. Our TRURL is the first […]
Discovering faster matrix multiplication algorithms with reinforcement learning Matrix multiplication is… Well, it is matrix multiplication, it is everywhere. When computers do things, more often than not – they multiply matrices. Originally thought to have complexity n^3 for nxn matrices, […]
Learning Terrain Representation for Legged Robot Localization In this talk, I will describe a haptic localization system based on a terrain representation learned from the force/torque sensors located at the quadruped robot’s feet. Our approach was twofold, supervised terrain classification […]
Greedy Robots in a Changing World – Forgetting and Transfer in Continual Reinforcement Learning Although the world we’re living in is changing rapidly, deep learning models are designed primarily for static data and stationary environments. In my talk, I will […]
Be like water: Adaptive Subgoal Search Reinforcement learning involves training agents to interact with an environment through a feedback loop. To optimize performance, the agent must adapt to various information streams, such as environment changes, experience, uncertainty, and task complexity. […]
Can machines run businesses? – A practical perspective. Today’s businesses collect an ever-growing amount of data every day: about their customers’ behaviour, usage and sales of their product, their internal operations, … . For some, like mobile game publishers, their […]
Building MLOps ecosystem at Brainly – design and challenges In engineering it is never easy to design a system or platform that will be robust, effective and yet easy to maintain and use. It gets even harder if you are […]
Building MLOps ecosystem at Brainly – design and challenges In engineering it is never easy to design a system or platform that will be robust, effective and yet easy to maintain and use. It gets even harder if you are […]
Practical considerations of robot learning Despite the fact that we have just had a decade of tremendous progress in computer vision, reinforcement learning and other areas, the robots are not yet ubiquitous in our daily lives. In this talk we […]
Improved Feature Importance Computations for Tree Models: Shapley vs. Banzhaf The Shapley value is one of the main tools used to explain predictions of tree ensemble models. The main alternative to the Shapley value is the Banzhaf value but the […]
