​ Estimating the 3D structure of the human body from real-world scenes is a challenging task with significant implications for fields like artificial intelligence, graphics, and human-robot interaction. Existing datasets for 3D human pose estimation are limited because they are often collected under controlled conditions… Read More »Researchers from China Introduce A Large-Scale, Real-World Multi-View Dataset Named ‘FreeMan’ Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​ In recent years, the explosion of AI-generated content has opened up new realms of creative expression. However, this surge in synthetic media has also raised concerns about transparency and understanding for viewers. This week, TikTok has taken a significant stride towards addressing this issue… Read More »TikTok Introduces AI Labeling Tool For AI-Generated Content Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Defining the Problem Text-to-image generation has long been a challenge in artificial intelligence. The ability to transform textual descriptions into vivid, realistic images is a critical step toward bridging the gap between natural language understanding and visual content creation. Researchers have grappled with this… Read More »Deci AI Unveils DeciDiffusion 1.0: A 820 Million Parameter Text-to-Image Latent Diffusion Model and 3x the Speed of Stable Diffusion Madhur Garg Artificial Intelligence Category – MarkTechPost

​ While Large Language Models (LLMs) like ChatGPT and GPT-4 have demonstrated better performance across several benchmarks, open-source projects like MMLU and OpenLLMBoard have quickly progressed in catching up across multiple applications and benchmarks. Understanding their capabilities, constraints, and distinctions becomes more crucial as they… Read More »How Do Large Language Models Perform in Long-Form Question Answering? A Deep Dive by Salesforce Researchers into LLM Robustness and Capabilities Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs) have recently gained immense popularity due to their accessibility and remarkable ability to generate text responses for a wide range of user queries. More than a billion people have utilized LLMs like ChatGPT to get information and solutions to their… Read More »UCSD Researchers Open-Source Graphologue: A Unique AI Technique That Transforms Large Language Models Such As GPT-4 Responses Into Interactive Diagrams In Real-Time Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Large-scale annotated datasets have served as a highway for creating precise models in various computer vision tasks. They want to offer such a highway in this study to accomplish fine-grained long-range tracking. Fine-grained long-range tracking aims to follow the matching world surface point for… Read More »Research at Stanford Introduces PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ The greatest challenge in human genetics is arguably the complexity of the human genome and the vast diversity of genetic factors that contribute to health and disease. The human genome consists of over 3 billion base pairs, and it contains not only protein-coding genes… Read More »Google DeepMind Introduces a New AI Tool that Classifies the Effects of 71 Million ‘Missense’ Mutations  Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​ Researchers from Seoul National University address a fundamental challenge in robotics – the efficient and adaptable control of robots in dynamic environments. Traditional robotics control methods often require extensive training for specific scenarios, making them computationally expensive and inflexible when faced with variations in… Read More »Researchers from Seoul National University Introduces Locomotion-Action-Manipulation (LAMA): A Breakthrough AI Method for Efficient and Adaptable Robot Control Madhur Garg Artificial Intelligence Category – MarkTechPost

​ A groundbreaking initiative has emerged from esteemed research institutions aiming to unravel the enigmatic intricacies of lithium-based batteries. Employing an innovative approach, researchers harness machine learning to meticulously analyze X-ray videos at the pixel level, potentially revolutionizing battery research. The challenge at the heart… Read More »Unlocking Battery Optimization: How Machine Learning and Nanoscale X-Ray Microscopy Could Revolutionize Lithium Batteries Niharika Singh Artificial Intelligence Category – MarkTechPost