​ In the realm of video generation, diffusion models have showcased remarkable advancements. However, a lingering challenge persists—the unsatisfactory temporal consistency and unnatural dynamics in inference results. The study explores the intricacies of noise initialization in video diffusion models, uncovering a crucial training-inference gap.  The… Read More »Researchers from Nanyang Technological University Revolutionize Diffusion-based Video Generation with FreeInit: A Novel AI Approach to Overcome Temporal Inconsistencies in Diffusion Models Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Thomson Reuters, the global content and technology company, is transforming the legal industry with generative AI. In the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with Thomson Reuters Chief Product Officer David Wong about its potential — and implications. Many of… Read More »Thomson Reuters Taps Generative AI to Power Legal Offerings Kristen Yee – Archives Page 1 | NVIDIA Blog

​ With the recent introduction of Large Language Models (LLMs), the field of Artificial Intelligence (AI) has significantly outshined. Though these models have successfully demonstrated incredible performance in tasks like content generation and question answering, there are still certain challenges in answering complicated, open-ended queries… Read More »Google Researchers Unveil ReAct-Style LLM Agent: A Leap Forward in AI for Complex Question-Answering with Continuous Self-Improvement Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ In the digital transformation era, the three-dimensional revolution is underway, reshaping industries with unprecedented precision and depth. At the heart of this revolution lies point cloud processing – an innovative approach that captures the intricacies of our physical world in a digital format. From… Read More »This AI Paper Unveils Point Transformer V3 (PTv3): A Leap Forward in Efficient and Scalable Point Cloud Processing Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Advancements in deep learning have influenced a wide variety of scientific and industrial applications in artificial intelligence. Natural language processing, conversational AI, time series analysis, and indirect sequential formats (such as pictures and graphs) are common examples of the complicated sequential data processing jobs… Read More »This Paper Proposes RWKV: A New AI Approach that Combines the Efficient Parallelizable Training of Transformers with the Efficient Inference of Recurrent Neural Networks Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ In tackling the intricate task of predicting brain age, researchers introduce a groundbreaking hybrid deep learning model that integrates Convolutional Neural Networks (CNN) and Multilayer Perceptron (MLP) architectures. The challenge is accurately estimating an individual’s brain age, a metric crucial for understanding normal and… Read More »This AI Research Unveils a Deep Convolutional Neural Network CNN-MLP Algorithm for Enhanced Brain Age Prediction: A Game-Changer in Neurodegenerative Disease Prognosis Madhur Garg Artificial Intelligence Category – MarkTechPost

​Posted by Dan Kondratyuk and David Ross, Software Engineers, Google Research A recent wave of video generation models has burst onto the scene, in many cases showcasing stunning picturesque quality. One of the current bottlenecks in video generation is in the ability to produce coherent… Read More »VideoPoet: A large language model for zero-shot video generation Google AI Google AI Blog

​ Text-to-image diffusion models are generative models that generate images based on the text prompt given. The text is processed by a diffusion model, which begins with a random image and iteratively improves it word by word in response to the prompt. It does this… Read More »Google DeepMind Unveils Imagen-2: A Super Advanced Text-to-Image Diffusion Technology Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ In natural language processing, the spotlight is shifting toward the untapped potential of small language models (SLMs). While their larger counterparts have dominated the landscape, the question lingers: just how critical is model size for effective problem-solving? The study explores this pivotal question, delving… Read More »Researchers from CMU and Microsoft Introduce TinyGSM: A Synthetic Dataset Containing GSM8K-Style Math Word Problems Paired with Python Solutions Sana Hassan Artificial Intelligence Category – MarkTechPost

​ This post was written in collaboration with Ankur Goyal and Karthikeyan Chokappa from PwC Australia’s Cloud & Digital business. Artificial intelligence (AI) and machine learning (ML) are becoming an integral part of systems and processes, enabling decisions in real time, thereby driving top and… Read More »Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator Ankur Goyal AWS Machine Learning Blog