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Benchmarking the next generation of never-ending learners

Notes References [1] John M Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ron-neberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Zídek, Anna Potapenko, Alex Bridgland, Clemens Meyer, Simon A A Kohl, Andy Ballard, Andrew Cowie, Bernardino Romera-Paredes, Stanislav Nikolov, Rishub Jain, Jonas Adler, Trevor Back, Stig Petersen, David A. Reiman, Ellen Clancy, Michal Zielinski,…

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Convenient Reinforcement Learning With Stable-Baselines3 | by Dr. Robert Kübler | Dec, 2023

Reinforcement learning without the boilerplate code Created by the author with Leonardo Ai.In my previous articles about reinforcement learning, I have shown you how to implement (deep) Q-learning using nothing but a bit of numpy and TensorFlow. While this was an important step towards understanding how these algorithms work under the hood, the code tended…

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This AI Research Introduces a Novel Vision-Language Model (‘Dolphins’) Architected to Imbibe Human-like Abilities as a Conversational Driving Assistant

A team of researchers from the University of Wisconsin-Madison, NVIDIA, the University of Michigan, and Stanford University have developed a new vision-language model (VLM) called Dolphins. It is a conversational driving assistant that can process multimodal inputs to provide informed driving instructions. Dolphins are designed to address the complex driving scenarios faced by autonomous vehicles…

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How can the Effectiveness of Vision Transformers be Leveraged in Diffusion-based Generative Learning? This Paper from NVIDIA Introduces a Novel Artificial Intelligence Model Called Diffusion Vision Transformers (DiffiT)

How can the effectiveness of vision transformers be leveraged in diffusion-based generative learning? This paper from NVIDIA introduces a novel model called Diffusion Vision Transformers (DiffiT), which combines a hybrid hierarchical architecture with a U-shaped encoder and decoder. This approach has pushed the state of the art in generative models and offers a solution to…

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TiDE: the ‘embarrassingly’ simple MLP that beats Transformers | by Rafael Guedes | Dec, 2023

A deep exploration of TiDE, its implementation using Darts and a real life use case comparison with DeepAR (a Transformer architecture) As industries continue to evolve, the importance of an accurate forecasting becomes a non-negotiable asset wether you work in e-commerce, healthcare, retail or even in agriculture. The importance of being able to foresee what…

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