​ In the research paper “Universal Visual Decomposer: Long-Horizon Manipulation Made Easy”, the authors address the challenge of teaching robots to perform long-horizon manipulation tasks from visual observations. These tasks involve multiple stages and are often encountered in real-world scenarios like cooking and tidying. Learning… Read More »How can Pre-Trained Visual Representations Help Solve Long-Horizon Manipulation? Meet Universal Visual Decomposer (UVD): An off-the-Shelf Method for Identifying Subgoals from Videos Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​ While LLMs’ reasoning capabilities are excellent, they still need to be improved to apply those capabilities in practical settings. In particular, how to proveably accomplish a task with minimal interactions with the outside world (e.g., via an internal method of reasoning) is still a… Read More »This AI Research Introduces ‘RAFA’: A Principled Artificial Intelligence Framework for Autonomous LLM Agents with Provable Sample Efficiency Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ The Document Structure Generator (DSG) is a powerful system for parsing and generating structured documents. DSG surpasses commercial OCR tools’ capabilities and sets new performance standards, positioning itself as a powerful and adaptable solution for diverse real-world applications. Researchers delve into the innovative features… Read More »Revolutionizing Document Parsing: Meet DSG – The First End-to-End Trainable System for Hierarchical Structure Extraction Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ In today’s information age, the vast volumes of data housed in countless documents present both a challenge and an opportunity for businesses. Traditional document processing methods often fall short in efficiency and accuracy, leaving room for innovation, cost-efficiency, and optimizations. Document processing has witnessed… Read More »Intelligent document processing with Amazon Textract, Amazon Bedrock, and LangChain Sonali Sahu AWS Machine Learning Blog

​ DiagrammerGPT is a revolutionary two-stage system for generating diagrams from text powered by advanced LLMs like GPT-4. This framework utilizes the layout guidance capabilities of LLMs to produce precise, open-domain, open-platform diagrams. In the first stage, it generates diagram plans, followed by creating diagrams… Read More »Meet DiagrammerGPT: A Novel Two-Stage Text-to-Diagram Generation AI Framework that Leverages the Knowledge of LLMs for Planning and Refining the Overall Diagram Plans Sana Hassan Artificial Intelligence Category – MarkTechPost

​ In the entire world, about one in eight persons have mental problems. However, mental health disorders are significantly underserved for various reasons, such as a lack of mental health specialists, subpar treatments, prohibitive costs, and societal stigma. In high-income regions, treatment coverage for mental… Read More »Researchers from CMU and UC Santa Barbara Propose Innovative AI-Based ‘Diagnosis of Thought’ Prompting for Cognitive Distortion Detection in Psychotherapy Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ This post is co-authored by Dhurjati Brahma, Senior Systems Architect at T-Mobile US, Inc and Jim Chao, Principal Engineer/Architect at T-Mobile US, Inc and Nicholas Zellerhoff Associate Systems Architect at T-Mobile US, Inc. T-Mobile US, Inc. provides a Voicemail to Text service to its… Read More »T-Mobile US, Inc. uses artificial intelligence through Amazon Transcribe and Amazon Translate to deliver voicemail in the language of their customers’ choice Dhurjati Brahma AWS Machine Learning Blog

​ LFQA aims to provide a complete and thorough response to any query. Parametric information in large language models (LLMs) and retrieved documents presented at inference time enable LFQA systems to construct complicated replies to questions in paragraphs rather than by extracting spans in the… Read More »How Does Retrieval Augmentation Impact Long-Form Question Answering? This AI Study Provides New Insights into How Retrieval Augmentation Impacts Long- Knowledge-Rich Text Generation of Language Models Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ LIBERO, a lifelong learning benchmark in robot manipulation, focuses on knowledge transfer in declarative and procedural domains. It introduces five key research areas in lifelong learning for decision-making (LLDM) and offers a procedural task generation pipeline with four task suites comprising 130 tasks. Experiments… Read More »UT Austin Researchers Introduce LIBERO: A Lifelong Robot Learning Benchmark to Study Knowledge Transfer in Decision-Making and Robotics at Scale Adnan Hassan Artificial Intelligence Category – MarkTechPost