​ Perplexity, an innovative AI startup, has introduced a solution to transform information retrieval systems. This launch introduces two new large language models (LLMs), pplx-7b-online and pplx-70b-online, which mark the pioneering foray into publicly accessible online LLMs via an API. Unlike traditional offline LLMs like… Read More »Perplexity Unveils Two New Online LLM Models: ‘pplx-7b-online’ and ‘pplx-70b-online’ Niharika Singh Artificial Intelligence Category – MarkTechPost

​ High-quality 3D content synthesis is a crucial yet challenging problem for many applications, such as autonomous driving, robotic simulation, gaming, filmmaking, and future VR/AR situations. The topic of 3D geometry generation has seen a surge in research interest from the computer vision and graphics… Read More »Meet SceneTex: A Novel AI Method for High-Quality, Style-Consistent Texture Generation in Indoor Scenes Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ The team of researchers from NYU and Meta aimed to address the challenge of robotic manipulation learning in domestic environments by introducing DobbE, a highly adaptable system capable of learning and adapting from user demonstrations. The experiments demonstrated the system’s efficiency while highlighting the… Read More »Researchers from NYU and Meta Introduce Dobb-E: An Open-Source and General Framework for Learning Household Robotic Manipulation Sana Hassan Artificial Intelligence Category – MarkTechPost

​ PepCNN, a deep learning model developed by researchers from Griffith University, RIKEN Center for Integrative Medical Sciences, Rutgers University, and The University of Tokyo, addresses the problem of predicting protein-peptide binding residues. PepCNN outperforms other methods in terms of specificity, precision, and AUC metrics… Read More »Meet PepCNN: A Deep Learning Tool for Predicting Peptide Binding Residues in Proteins Using Sequence, Structural, and Language Model Features Sana Hassan Artificial Intelligence Category – MarkTechPost

​ NeRF represents scenes as continuous 3D volumes. Instead of discrete 3D meshes or point clouds, it defines a function that calculates color and density values for any 3D point within the scene. By training the neural network on multiple scene images captured from different… Read More »Breaking the Boundaries in 3D Scene Representation: How a New AI Technique is Changing the Game with Faster, More Efficient Rendering and Reduced Storage Demands Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​ One of the most exciting applications of Large Language Models (LLMs) is in medicine, with some of its use cases including medical research, tailored health plans, clinical diagnosis, and many more. However, given how safety-critical the field is, it is necessary to stress-test these… Read More »Meet Meditron: A Suite of Open-Source Medical Large Language Models (LLMs) based on LLaMA-2 Asif Razzaq Artificial Intelligence Category – MarkTechPost

​ The team of researchers from Microsoft tackled the problem of generating high-quality reports for chest X-rays (CXR) by developing a radiology-specific multimodal model called MAIRA-1. The model utilizes a CXR-specific image encoder and a fine-tuned LLM based on Vicuna-7B and text-based data augmentation, focusing… Read More »Microsoft Researchers Propose MAIRA-1: A Radiology-Specific Multimodal Model for the Task of Generating Radiological Reports from Chest X-rays (CXRs) Adnan Hassan Artificial Intelligence Category – MarkTechPost