​ 3D paint brushes are usually used in 3D modeling or sculpting applications to create and manipulate 3D objects or models. These tools allow users to paint directly onto 3D surfaces, adding textures, colors, and details to the models. This process is fundamental in creating… Read More »Researchers from the University of Chicago Introduce 3D Paintbrush: A AI Method for Generating Local Stylized Textures on Meshes Using Text as Input Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​ Advances in 3D graphics and perception have been demonstrated by recent advances in Neural Radiance Fields (NeRFs). Furthermore, the state-of-the-art 3D Gaussian Splatting (GS) framework has enhanced these improvements. Despite several successes, more applications must be created to create new dynamics. While efforts to… Read More »Meet PhysGaussian: An Artificial Intelligence Technique that Produces High-Quality Novel Motion Synthesis by Integrating Physically Grounded Newtonian Dynamics into 3D Gaussians Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Inflection AI developed a Large Language Model with the best right up there. The company states that its model, Inflection-2, is the second most capable in the world, just behind OpenAI’s latest creation. The need for such advanced models arises from the increasing demand… Read More »Inflection Introduces Inflection-2: The Best AI Model in the World for Its Compute Class and the Second Most Capable LLM in the World Today Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Stanford researchers introduced a groundbreaking development named BLASTNet, heralding a new era in computational fluid dynamics (CFD). Still, it was a proof of concept that was not ready for machine learning purposes. Now, the same research team introduces BLASTNet-2, a revolutionary dataset meticulously assembled… Read More »Stanford Researchers Introduce BLASTNet: The First Large Machine Learning Dataset for Fundamental Fluid Dynamics Niharika Singh Artificial Intelligence Category – MarkTechPost

​ The practical success of deep learning in processing and modeling large amounts of high-dimensional and multi-modal data has grown exponentially in recent years. Much of this achievement can be attributed to deep networks’ skill at discovering compressible low-dimensional structures in data and subsequently transforming… Read More »UC Berkeley Researchers Propose CRATE: A Novel White-Box Transformer for Efficient Data Compression and Sparsification in Deep Learning Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs), although highly competent in a wide array of language tasks, often display weak reasoning capabilities by making very simple mistakes. They can sometimes make erroneous judgments because of irrelevant context or exhibit an issue called sycophancy, where the model agrees… Read More »Meta Research Introduces System 2 Attention (S2A): An AI Technique that Enables an LLM to Decide on the Important Parts of the Input Context in Order to Generate Good Responses Asif Razzaq Artificial Intelligence Category – MarkTechPost

​ There is a long tradition of using games as AI performance indicators. Search and learning-based approaches performed well in various perfect information games, while game theory-based methods performed well in a few imperfect information poker variations. By combining directed search, self-play learning, and game-theoretic… Read More »Check Out This New AI System Called Student of Games (SoG) that is capable of both Beating Humans at a Variety of Games and Learning to Play New Ones Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ In artificial intelligence, efficiency, and environmental impact have become paramount concerns. Addressing this, Jason Eshraghian from UC Santa Cruz developed snnTorch, an open-source Python library implementing spiking neural networks, drawing inspiration from the brain’s remarkable efficiency in processing data. The crux, highlighted in the… Read More »Meet snnTorch: An Open-Source Python Package for Performing Gradient-based Learning with Spiking Neural Networks Madhur Garg Artificial Intelligence Category – MarkTechPost

​ The generation of hyper-realistic human images from user-defined conditions, such as text and pose, is meaningful for various applications, including image animation and virtual try-ons. Numerous efforts have been made to explore the task of controllable human image generation. Early methods either relied on… Read More »Meet HyperHuman: A Novel AI Framework for Hyper-Realistic Human Generation with Latent Structural Diffusion Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

​ Data augmentation is a critical technique in deep learning that involves creating new training data by modifying existing samples. It is essential because it diversifies the training data, improving the model’s ability to generalize to new, unseen examples. Creating variations of existing samples prevents… Read More »This AI Research Proposes Random Slices Mixing Data Augmentation (RSMDA) for Superior Image Classification: A Novel Approach to Enhancing Neural Network Accuracy and Robustness Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost