​In 1991, Brenier proved a theorem that generalizes the polar decomposition for square matrices — factored as PSD ×times× unitary — to any vector field F:Rd→RdF:mathbb{R}^drightarrow mathbb{R}^dF:Rd→Rd. The theorem, known as the polar factorization theorem, states that any field FFF can be recovered as the… Read More »On a Neural Implementation of Brenier’s Polar Factorization Apple Machine Learning Research

​[[{“value”:” Large language models (LLMs) have gained significant attention in solving planning problems, but current methodologies must be revised. Direct plan generation using LLMs has shown limited success, with GPT-4 achieving only 35% accuracy on simple planning tasks. This low accuracy highlights the need for… Read More »Planetarium: A New Benchmark to Evaluate LLMs on Translating Natural Language Descriptions of Planning Problems into Planning Domain Definition Language PDDL Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Whole-body pose estimation is a key component for improving the capabilities of human-centric AI systems. It is useful in human-computer interaction, virtual avatar animation, and the film industry. Early research in this field was challenging due to the task’s complexity and limited computational power… Read More »RTMW: A Series of High-Performance AI Models for 2D/3D Whole-Body Pose Estimation Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” CAMEL-AI has recently announced the release of CAMEL, a groundbreaking communicative agent framework designed to enhance the scalability and autonomous cooperation among language model agents. The rapid progression of conversational and chat-based language models has ushered in the era of complex problem-solving capabilities. However,… Read More »CAMEL-AI Unveils CAMEL: Revolutionary Multi-Agent Framework for Enhanced Autonomous Cooperation Among Communicative Agents Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post is co-written with MagellanTV and Mission Cloud.  Video dubbing, or content localization, is the process of replacing the original spoken language in a video with another language while synchronizing audio and video. Video dubbing has emerged as a key tool in breaking… Read More »Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly Na Yu AWS Machine Learning Blog

​[[{“value”:” This post is co-written with Vlad Lebedev and DJ Charles from Mixbook. Mixbook is an award-winning design platform that gives users unrivaled creative freedom to design and share one-of-a-kind stories, transforming the lives of more than six million people. Today, Mixbook is the #1… Read More »How Mixbook used generative AI to offer personalized photo book experiences Vlad Lebedev AWS Machine Learning Blog

​[[{“value”:” Home Table of Contents No Module Named torch Choose Your Flavor Stable Release Preview (Nightly) Release Know Thy Operating System Linux macOS Windows Your Tool for the Job Conda Pip LibTorch How You’ll Talk to PyTorch Python C++ Other Languages CPU or GPU? CPU… Read More »No Module Named ‘torch’ Hector Martinez PyImageSearch

​[[{“value”:” Document retrieval, a subfield of information retrieval, focuses on matching user queries with relevant documents within a corpus. It is crucial in various industrial applications, such as search engines and information extraction systems. Effective document retrieval systems must handle textual content and visual elements… Read More »ColPali: A Novel AI Model Architecture and Training Strategy based on Vision Language Models (VLMs) to Efficiently Index Documents Purely from Their Visual Features Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Technological advancements in sensors, AI, and processing power have propelled robot navigation to new heights in the last several decades. To take robotics to the next level and make them a regular part of our lives, many studies suggest transferring the natural language space… Read More »Google DeepMind Researchers Present Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent developments in neural information retrieval (IR) models have greatly improved their effectiveness across various IR tasks. These advancements have made neural IR models more capable of understanding and retrieving relevant information in response to user queries. However, ensuring the reliability of these models… Read More »Advancing Robustness in Neural Information Retrieval: A Comprehensive Survey and Benchmarking Framework Tanya Malhotra Artificial Intelligence Category – MarkTechPost