​ A new era of photorealistic image synthesis has just begun thanks to the development of text-to-image (T2I) generative models like DALLE 2, Imagen, and Stable Diffusion. This has significantly influenced many downstream applications, including picture editing, video production, the creation of 3D assets, etc.… Read More »Meet PIXART-α: A Transformer-Based T2I Diffusion Model Whose Image Generation Quality is Competitive with State-of-the-Art Image Generators Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ In this paper, researchers have introduced a NeRF-based mapping method called H2-Mapping, aimed at addressing the need for high-quality, dense maps in real-time applications, such as robotics, AR/VR, and digital twins. The key problem they tackle is the efficient generation of detailed maps in… Read More »This AI Paper Proposes a NeRF-based Mapping Method that Enables Higher-Quality Reconstruction and Real-Time Capability Even on Edge Computers Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​ Handling and analysis of vast amounts of data is called Large-scale data processing. It involves extracting valuable insights, making informed decisions, and solving complex problems. It is crucial in various fields, including business, science, healthcare, and more. The choice of tools and methods depends… Read More »Fondant AI Releases Fondant-25M Dataset of Image-Text Pairs with a Creative Commons License Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​ Estimating 3D Human Pose and Shape (HPS) from photos and moving pictures is necessary to reconstruct human actions in real-world settings. Nevertheless, 3D inference from 2D images poses significant challenges due to factors such as depth ambiguities, occlusion, unusual clothing, and motion blur. Even… Read More »Meet POCO: A Novel Artificial Intelligence Framework for 3D Human Pose and Shape Estimation Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

​ Natural language processing (NLP) systems have long relied heavily on Pretrained Language Models (PLMs) for a variety of tasks, including speech recognition, metaphor processing, sentiment analysis, information extraction, and machine translation. With recent developments, PLMs are changing quickly, and new developments are showing that… Read More »This Artificial Intelligence Survey Research Provides A Comprehensive Overview Of Large Language Models Applied To The Healthcare Domain Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Fine-tuning language models are often overlooked to create language agents, specifically focusing on enhancing their capabilities in question-answering tasks using the Google search API. Researchers from System2 Research, the University of Cambridge, Monash University, and Princeton University show that fine-tuning backbone language models consistently… Read More »This AI Research Proposes FireAct: A Novel Artificial Intelligence Approach to Fine-Tuning Language Models with Trajectories from Multiple Tasks and Agent Methods Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ In the realm of Large Language Models, one perplexing problem stands out. While these models can master many language-based tasks, they often stumble when performing numerical calculations involving large numbers. Specifically, multiplying two four-digit numbers results in a success rate of just over 90%,… Read More »Meet xVal: A Continuous Way to Encode Numbers in Language Models for Scientific Applications that Uses Just a Single Token to Represent any Number Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Machine learning is becoming increasingly integrated across a wide range of fields. Its widespread use extends to all industries, including the world of user interfaces (UIs), where it is crucial for anticipating semantic data. This application not only improves accessibility and simplifies testing but… Read More »Apple and CMU Researchers Unveil the Never-ending UI Learner: Revolutionizing App Accessibility Through Continuous Machine Learning Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ GPT-4 defaults to saying, “Sorry, but I can’t help with that,” in answer to requests that go against policies or ethical restrictions. Safety training and red-teaming are essential to prevent AI safety failures when large language models (LLMs) are used in user-facing applications like… Read More »Is Multilingual AI Truly Safe? Exposing the Vulnerabilities of Large Language Models in Low-Resource Languages Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ For tasks like self-driving, the AI model must understand not only the 3D structure of the roads and sidewalks but also identify and recognize street signs and stop lights. This task is made easier with a special laser mounted on the car that captures… Read More »Google AI Introduces SANPO: A Multi-Attribute Video Dataset for Outdoor Human Egocentric Scene Understanding Arham Islam Artificial Intelligence Category – MarkTechPost