KAIST Researchers Propose SyncDiffusion: A Plug-and-Play Module that Synchronizes Multiple Diffusions through Gradient Descent from a Perceptual Similarity Loss Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

In a recent research paper, a team of researchers from KAIST introduced SYNCDIFFUSION, a groundbreaking module that aims to enhance the generation of panoramic images using pretrained diffusion models. The researchers identified a significant problem in panoramic image creation, primarily involving the presence of… Read More »KAIST Researchers Propose SyncDiffusion: A Plug-and-Play Module that Synchronizes Multiple Diffusions through Gradient Descent from a Perceptual Similarity Loss Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

Meet ScaleCrafter: Unlocking Ultra-High-Resolution Image Synthesis with Pre-trained Diffusion Models Tanya Malhotra Artificial Intelligence Category – MarkTechPost

The development of image synthesis techniques has experienced a notable upsurge in recent years, garnering major interest from the academic and industry worlds. Text-to-image generation models and Stable Diffusion (SD) are the most widely used developments in this field. Although these models have demonstrated… Read More »Meet ScaleCrafter: Unlocking Ultra-High-Resolution Image Synthesis with Pre-trained Diffusion Models Tanya Malhotra Artificial Intelligence Category – MarkTechPost

In the field of Python-based Data Science projects, the utilization of Jupyter Notebooks is ubiquitous. These interactive and user-friendly environments facilitate seamless integration of code and documentation, providing a conducive space for exploration and analysis. Within this framework exists a set of magic commands… Read More »6 Magic Commands for Jupyter Notebooks in Python Data Science Rachit Ranjan Artificial Intelligence Category – MarkTechPost

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative AI models have further sped up the need of ML adoption across industries. However, implementing security, data privacy, and governance… Read More »Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker Ram Vittal AWS Machine Learning Blog

This is a guest post co-written by Rama Badrinath, Divay Jindal and Utkarsh Agrawal at Meesho. Meesho is India’s fastest growing ecommerce company with a mission to democratize internet commerce for everyone and make it accessible to the next billion users of India. Meesho… Read More »How Meesho built a generalized feed ranker using Amazon SageMaker inference Utkarsh Agrawal AWS Machine Learning Blog

A new AI agent developed by NVIDIA Research that can teach robots complex skills has trained a robotic hand to perform rapid pen-spinning tricks — for the first time as well as a human can. The stunning prestidigitation, showcased in the video above, is… Read More »Eureka! NVIDIA Research Breakthrough Puts New Spin on Robot Learning Angie Lee – Archives Page 1 | NVIDIA Blog

Large language models are sophisticated artificial intelligence systems created to understand and produce language similar to humans on a large scale. These models are useful in various applications, such as question-answering, content generation, and interactive dialogues. Their usefulness comes from a long learning process… Read More »Microsoft Researchers Propose DeepSpeed-VisualChat: A Leap Forward in Scalable Multi-Modal Language Model Training Rachit Ranjan Artificial Intelligence Category – MarkTechPost

Human motion capture has emerged as a key tool in various industries, including sports, medical, and character animation for the entertainment sector. Motion capture is utilized in sports for multiple purposes, including injury prevention, injury analysis, video game industry animations, and even generating informative… Read More »Meet SwimXYZ: A Synthetic Dataset of Swimming Motions and Videos Containing 3.4M Frames Annotated with Ground Truth 2D and 3D Joints Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

A type of deep learning model architecture is called Transformers in the context of many state-of-the-art AI models. They have revolutionized the field of artificial intelligence, particularly in natural language processing and various other tasks in machine learning. It is based on a self-attention… Read More »Researchers from UC Berkeley Propose RingAttention: A Memory-Efficient Artificial Intelligence Approach to Reduce the Memory Requirements of Transformers Mohammad Arshad Artificial Intelligence Category – MarkTechPost

In the realm of reasoning tasks, large language models (LLMs) have displayed remarkable performance when provided with examples and intermediate steps. Nevertheless, approaches that depend on implicit knowledge within an LLM can sometimes produce erroneous answers when the implicit knowledge is incorrect or inconsistent… Read More »Enhancing Reasoning in Large Language Models: Check Out the Hypotheses-to-Theories (HtT) Framework for Accurate and Transferable Rule-Based Learning Janhavi Lande Artificial Intelligence Category – MarkTechPost