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Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning

OpenAIJanuary 10, 202471Views 0Likes 0Comments

In our recent paper, we explore how populations of deep reinforcement learning (deep RL) agents can learn microeconomic behaviours, such as production, consumption, and trading of goods. We find that artificial agents learn to make economically rational decisions about production, consumption, and prices, and react appropriately to supply and demand changes. The population converges to…

Curse of Dimensionality: An Intuitive Exploration | by Salih Salih | Dec, 2023

Data ScienceJanuary 10, 202448Views 0Likes 0Comments

Photo by Mathew Schwartz on UnsplashIn the previous article, we discussed the surprising behavior of data in higher dimensions. We found that volume tends to accumulate in the corners of spaces in a strange way, and we simulated a hypersphere inscribed inside a hypercube to investigate this, observing an interesting decrease in their volume ratio…

This AI Research from China Introduces LLaVA-Phi: A Vision Language Assistant Developed Using the Compact Language Model Phi-2

AI NewsJanuary 10, 202448Views 0Likes 0Comments

Large language models have shown notable achievements in executing instructions, multi-turn conversations, and image-based question-answering tasks. These models include Flamingo, GPT-4V, and Gemini. The fast development of open-source Large Language Models, such as LLaMA and Vicuna, has greatly accelerated the evolution of open-source vision language models. These advancements mainly center on improving visual understanding by…

How to Design a Batch Processing. Understand batch processing from… | by Xiaoxu Gao | Jan, 2024

Data ScienceJanuary 10, 202454Views 0Likes 0Comments

Understand batch processing from business and technical perspective Photo by Dannie Sorum on UnsplashWe live in a world where every human interaction becomes an event in the system, whether it’s purchasing clothes online or in-store, scrolling social media, or taking an Uber. Unsurprisingly, all these events are processed in one way or the other.…

This Paper from Alibaba Unveils DiffusionGAN3D: Revolutionizing 3D Portrait Generation and Adaptation with Advanced GANs and Text-to-Image Diffusion Models

AI NewsJanuary 10, 202468Views 0Likes 0Comments

In the rapidly evolving digital imagery and 3D representation landscape, a new milestone is set by the innovative fusion of 3D Generative Adversarial Networks (GANs) with diffusion models. The significance of this development lies in its ability to address longstanding challenges in the field, particularly the scarcity of 3D training data and the complexities associated…

Active offline policy selection – Google DeepMind

OpenAIJanuary 10, 202472Views 0Likes 0Comments

Reinforcement learning (RL) has made tremendous progress in recent years towards addressing real-life problems – and offline RL made it even more practical. Instead of direct interactions with the environment, we can now train many algorithms from a single pre-recorded dataset. However, we lose the practical advantages in data-efficiency of offline RL when we evaluate…

Best Typeform Alternatives for Effective Survey Creation

UncategorizedJanuary 10, 202456Views 0Likes 0Comments

Exploring Typeform Alternatives In the market of digital surveys and forms, Typeform set a high standard with its intuitive design and user experience. The European startup quickly became a go-to for businesses and individuals looking to gather information efficiently. However, the requirements one may have from a data collection exercise may be diverse, so there…

Understanding Deep Learning Optimizers: Momentum, AdaGrad, RMSProp & Adam | by Vyacheslav Efimov | Dec, 2023

Data ScienceJanuary 10, 202454Views 0Likes 0Comments

Gain intuition behind acceleration training techniques in neural networks D eep learning made a gigantic step in the world of artificial intelligence. At the current moment, neural networks outperform other types of algorithms on non-tabular data: images, videos, audio, etc. Deep learning models usually have a strong complexity and come up with millions or even…

2024: The Crazy AI Year Ahead – Human Brain Ends! AI Starts

Data AnalyticsJanuary 10, 202451Views 0Likes 0Comments

Image by Author What a year, ey? At the start of 2023, people were struggling to keep up with the tech world. One day this was getting released, the next day a competitor came out with something else, and then you heard about something new. It was a lot. But the momentum continued…

Researchers from Zhejiang University Introduce Human101: A Novel Artificial Intelligence Framework for Single-View Human Reconstruction Using 3D Gaussian Splatting

AI NewsJanuary 10, 202473Views 0Likes 0Comments

In virtual reality and 3D modeling, constructing dynamic, high-fidelity digital human representations from limited data sources, such as single-view videos, presents a significant challenge. This task demands an intricate balance between achieving detailed and accurate digital representations and the computational efficiency required for real-time applications. Traditional methods often grapple with rendering speeds and model fidelity…