CVT-Occ: A Novel AI Approach that Significantly Enhances the Accuracy of 3D Occupancy Predictions by Leveraging Temporal Fusion and Geometric Correspondence Across Time Shoaib Nazir Artificial Intelligence Category – MarkTechPost

[[{“value”:” The 3D occupancy prediction methods faced challenges in depth estimation, computational efficiency, and temporal information integration. Monocular vision struggled with depth ambiguities, while stereo vision required extensive calibration. Temporal fusion approaches, including attention-based, WrapConcat-based, and plane-sweep-based methods, attempted to address these issues but often… Read More »CVT-Occ: A Novel AI Approach that Significantly Enhances the Accuracy of 3D Occupancy Predictions by Leveraging Temporal Fusion and Geometric Correspondence Across Time Shoaib Nazir Artificial Intelligence Category – MarkTechPost

OmniGen: A New Diffusion Model for Unified Image Generation Tanya Malhotra Artificial Intelligence Category – MarkTechPost

[[{“value”:” With the introduction of Large Language Models (LLMs), language creation has undergone a dramatic change, with a variety of language-related tasks being successfully integrated into a unified framework. The way people engage with technology has been completely transformed by this unification, opening up more… Read More »OmniGen: A New Diffusion Model for Unified Image Generation Tanya Malhotra Artificial Intelligence Category – MarkTechPost

[[{“value”:” Advancements in natural language processing have greatly enhanced the capabilities of language models, making them essential tools for various applications, including virtual assistants, automated content creation, and data processing. As these models become more sophisticated, ensuring they generate safe and ethical outputs becomes increasingly… Read More »Meta AI Researchers Propose Backtracking: An AI Technique that Allows Language Models to Recover from Unsafe Generations by Discarding the Unsafe Response and Generating anew Nikhil Artificial Intelligence Category – MarkTechPost

[[{“value”:” Microsoft’s release of RD-Agent marks a milestone in the automation of research and development (R&D) processes, particularly in data-driven industries. This cutting-edge tool eliminates repetitive manual tasks, allowing researchers, data scientists, and engineers to streamline workflows, propose new ideas, and implement complex models more… Read More »Microsoft Releases RD-Agent: An Open-Source AI Tool Designed to Automate and Optimize Research and Development Processes Asif Razzaq Artificial Intelligence Category – MarkTechPost

Large language models (LLMs) have shown superb capability of modeling multimodal signals including audio and text, allowing the model to generate spoken or textual response given a speech input. However, it remains a challenge for the model to recognize personal named entities, such as contacts… Read More »Contextualization of ASR with LLM Using Phonetic Retrieval-Based Augmentation Apple Machine Learning Research

[[{“value”:” The demand for customizable, open models that can run efficiently on various hardware platforms has grown, and Meta is at the forefront of catering to this demand. Meta open-sourced the release of Llama 3.2, featuring small and medium-sized vision LLMs (11B and 90B), along… Read More »Llama 3.2 Released: Unlocking AI Potential with 1B and 3B Lightweight Text Models and 11B and 90B Vision Models for Edge, Mobile, and Multimodal AI Applications Asif Razzaq Artificial Intelligence Category – MarkTechPost

[[{“value”:” Graph sparsification is a fundamental tool in theoretical computer science that helps to reduce the size of a graph without losing key properties. Although many sparsification methods have been introduced, hypergraph separation and cut problems have become highly relevant due to their widespread application… Read More »A Novel AI Approach to Multicut-Mimicking Networks for Hypergraphs with Constraints Sajjad Ansari Artificial Intelligence Category – MarkTechPost

[[{“value”:” The Employee Productivity GenAI Assistant Example is a practical AI-powered solution designed to streamline writing tasks, allowing teams to focus on creativity rather than repetitive content creation. Built on AWS technologies like AWS Lambda, Amazon API Gateway, and Amazon DynamoDB, this tool automates the… Read More »Improve employee productivity using generative AI with Amazon Bedrock Samuel Baruffi AWS Machine Learning Blog

[[{“value”:” In today’s digital age, social media has revolutionized the way brands interact with their consumers, creating a need for dynamic and engaging content that resonates with their target audience. There’s growing competition for consumer attention in this space; content creators and influencers face constant… Read More »Build a multimodal social media content generator using Amazon Bedrock Ying Hou AWS Machine Learning Blog

[[{“value”:” In the realm of generative artificial intelligence (AI), Retrieval Augmented Generation (RAG) has emerged as a powerful technique, enabling foundation models (FMs) to use external knowledge sources for enhanced text generation. Amazon Bedrock is a fully managed service that offers a choice of high-performing… Read More »Elevate RAG for numerical analysis using Amazon Bedrock Knowledge Bases Sanjeev Pulapaka AWS Machine Learning Blog