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Simulating matter on the quantum scale with AI

OpenAIJanuary 7, 2024133Views 0Likes 0Comments

Solving some of the major challenges of the 21st Century, such as producing clean electricity or developing high temperature superconductors, will require us to design new materials with specific properties. To do this on a computer requires the simulation of electrons, the subatomic particles that govern how atoms bond to form molecules and are also…

Leverage KeyBERT, HDBSCAN and Zephyr-7B-Beta to Build a Knowledge Graph | by Silvia Onofrei | Jan, 2024

Data ScienceJanuary 7, 2024141Views 0Likes 0Comments

The work is done in a Google Colab Pro with a V100 GPU and High RAM setting for the steps involving LLM. The notebook is divided into self-contained sections, most of which can be executed independently, minimizing dependency on previous steps. Data is saved after each section, allowing continuation in a new session if needed.…

Salesforce Research Proposes MoonShot: A New Video Generation AI Model that Conditions Simultaneously on Multimodal Inputs of Image and Text

AI NewsJanuary 7, 2024143Views 0Likes 0Comments

Artificial intelligence has always faced the issue of producing high-quality videos that smoothly integrate multimodal inputs like text and graphics. Text-to-video generation techniques now in use frequently concentrate on single-modal conditioning, using either text or images alone. The accuracy and control researchers can exert over the created films are limited by this unimodal technique, making…

AlphaFold: Using AI for scientific discovery

OpenAIJanuary 7, 2024184Views 0Likes 0Comments

Research Published …

Visual Guides to understand the basics of Large Language Models | by Parul Pandey | Jan, 2024

Data ScienceJanuary 7, 2024148Views 0Likes 0Comments

Today, the world is abuzz with LLMs, short for Large Language models. Not a day passes without the announcement of a new language model, fueling the fear of missing out in the AI space. Yet, many still struggle with the basic concepts of LLMs, making it challenging to keep pace with the advancements. This article…

ByteDance Introduces the Diffusion Model with Perceptual Loss: A Breakthrough in Realistic AI-Generated Imagery

AI NewsJanuary 7, 2024151Views 0Likes 0Comments

Diffusion models are a significant component in generative models, particularly for image generation, and these models are undergoing transformative advancements. These models, functioning by transforming noise into structured data, especially images, through a denoising process, have become increasingly important in computer vision and related fields. Their capability to convert pure noise into detailed images has…

Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents

OpenAIJanuary 7, 2024146Views 0Likes 0Comments

In our recent paper we explore how multi-agent deep reinforcement learning can serve as a model of complex social interactions, like the formation of social norms. This new class of models could provide a path to create richer, more detailed simulations of the world. Humans are an ultra social species. Relative to other mammals we…

Gaussian Processes from Scratch. Gain a deeper understanding of Gaussian… | by Theo Wolf | Jan, 2024

Data ScienceJanuary 6, 2024146Views 0Likes 0Comments

Gain a deeper understanding of Gaussian processes by implementing them with only NumPy. Gaussian Processes (GPs) are an incredible class of models. There are very few Machine Learning algorithms that give you an accurate measure of uncertainty for free while still being super flexible. The problem is, GPs are conceptually really difficult to understand. Most…

Level 50 Data Scientist: Python Libraries to Know

Data AnalyticsJanuary 6, 2024146Views 0Likes 0Comments

Image by Author Data Science remains one of the hottest job titles in the 21st century. So, it's no wonder there's a lot of curiosity about it. But first, what is Data Science? Data Science is a multidisciplinary field that includes different elements from various domains, such as Data Visualization, Model Building, and…

This AI Paper Introduces DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision

AI NewsJanuary 6, 2024183Views 0Likes 0Comments

Neural View Synthesis (NVS) poses a complex challenge in generating realistic 3D scenes from multi-view videos, especially in diverse real-world scenarios. The limitations of current state-of-the-art (SOTA) NVS techniques become apparent when faced with variations in lighting, reflections, transparency, and overall scene complexity. Recognizing these challenges, researchers have aimed to push the boundaries of NVS…