admin – Page 134 – Ai Inteliigence

Columbia and Google Researchers Introduce ‘ReconFusion’: An Artificial Intelligence Method for Efficient 3D Reconstruction with Minimal Images

AI NewsDecember 9, 2023160Views 0Likes 0Comments

How can high-quality 3D reconstructions be achieved from a limited number of images? A team of researchers from Columbia University and Google introduced ‘ReconFusion,’ An artificial intelligence method that solves the problem of limited input views when reconstructing 3D scenes from images. It addresses issues such as artifacts and catastrophic failures in reconstruction, providing robustness…

Benchmarking the next generation of never-ending learners

OpenAIDecember 9, 2023133Views 0Likes 0Comments

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,…

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

Data ScienceDecember 9, 2023170Views 0Likes 0Comments

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…

ChatGPT’s New Rival: Google’s Gemini

Data AnalyticsDecember 9, 2023155Views 0Likes 0Comments

Image by Author For a while now, ChatGPT has been in the limelight. Everyone is talking about it, and a lot of people are using it, what could possibly go wrong? Google has always aimed to maintain its reputation of being an AI-first company, and so far they have been doing well. However, in…

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

AI NewsDecember 9, 2023164Views 0Likes 0Comments

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…

Building interactive agents in video game worlds

OpenAIDecember 9, 2023146Views 0Likes 0Comments

Notes [1] Abramson, J., Ahuja, A., Barr, I., Brussee, A., Carnevale, F., Cassin, M., Chhaparia, R., Clark, S., Damoc, B., Dudzik, A. and Georgiev, P., 2020. Imitating interactive intelligence. arXiv preprint arXiv:2012.05672. [2] Abramson, J., Ahuja, A., Brussee, A., Carnevale, F., Cassin, M., Fischer, F., Georgiev, P., Goldin, A., Harley, T. and Hill, F., 2021.…

Pivoting to Data Role: A 12-Year Career Odyssey

Data ScienceDecember 9, 2023160Views 0Likes 0Comments

Three stories about the data career journey “The number 12 is considered a cosmic number — marking the 12 months, the 12 signs of the zodiac, and the 12 stations of the Moon and the Sun” [Photo by Michael Skok on Unsplash]In my previous position, I created end-of-year reports for my business colleagues and CEOs.…

5 Super Cheat Sheets to Master Data Science

Data AnalyticsDecember 8, 2023144Views 0Likes 0Comments

Image by Author Data science is a vast field, combining elements of statistics, machine learning, and data analysis. To navigate this complex domain, having a set of handy cheat sheets can be immensely helpful. The cheat sheets can also serve as a valuable resource for preparing for technical interviews, reviewing key concepts, and…

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)

AI NewsDecember 8, 2023133Views 0Likes 0Comments

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…

Google DeepMind at NeurIPS 2023

OpenAIDecember 8, 2023149Views 0Likes 0Comments

Research Published …