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Language-Guided World Models (LWMs): Enhancing Agent Controllability and Compositional Generalization through Natural Language Mohammad Asjad Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Large language models (LLMs) have gained significant attention in the field of artificial intelligence, particularly in the development of model-based agents. These agents, equipped with probabilistic world models, can anticipate future environmental states and plan accordingly. While world models have shown promise in reinforcement… Read More »Language-Guided World Models (LWMs): Enhancing Agent Controllability and Compositional Generalization through Natural Language Mohammad Asjad Artificial Intelligence Category – MarkTechPost

Learning by Self-Explaining (LSX): A Novel Approach to Enhancing AI Generalization and Faithful Model Explanations through Self-Refinement Shoaib Nazir Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Explainable AI (XAI) has emerged as a critical field, focusing on providing interpretable insights into machine learning model decisions. Self-explaining models, utilizing techniques such as backpropagation-based, model distillation, and prototype-based approaches, aim to elucidate decision-making processes. However, most existing studies treat explanations as one-way… Read More »Learning by Self-Explaining (LSX): A Novel Approach to Enhancing AI Generalization and Faithful Model Explanations through Self-Refinement Shoaib Nazir Artificial Intelligence Category – MarkTechPost

CMU Researchers Introduce MMMU-Pro: An Advanced Version of the Massive Multi-discipline Multimodal Understanding and Reasoning (MMMU) Benchmark for Evaluating Multimodal Understanding in AI Models Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Multimodal large language models (MLLMs) are increasingly applied in diverse fields such as medical image analysis, engineering diagnostics, and even education, where understanding diagrams, charts, and other visual data is essential. The complexity of these tasks requires MLLMs to seamlessly switch between different types… Read More »CMU Researchers Introduce MMMU-Pro: An Advanced Version of the Massive Multi-discipline Multimodal Understanding and Reasoning (MMMU) Benchmark for Evaluating Multimodal Understanding in AI Models Nikhil Artificial Intelligence Category – MarkTechPost

Genomics England uses Amazon SageMaker to predict cancer subtypes and patient survival from multi-modal data Cemre Zor AWS Machine Learning Blog

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​[[{“value”:” This post is co-written with Francisco Azuaje from Genomics England. Genomics England analyzes sequenced genomes for The National Health Service (NHS) in the United Kingdom, and then equips researchers to use data to advance biological research. As part of its goal to help people… Read More »Genomics England uses Amazon SageMaker to predict cancer subtypes and patient survival from multi-modal data Cemre Zor AWS Machine Learning Blog

AtScale Open-Sourced Semantic Modeling Language (SML): Transforming Analytics with Industry-Standard Framework for Interoperability, Reusability, and Multidimensional Data Modeling Across Platforms Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” AtScale has made a significant move by announcing the open-source release of its Semantic Modeling Language (SML). This initiative aims to provide an industry-standard semantic modeling language that can be adopted across various platforms, fostering greater collaboration and interoperability in the analytics community. The… Read More »AtScale Open-Sourced Semantic Modeling Language (SML): Transforming Analytics with Industry-Standard Framework for Interoperability, Reusability, and Multidimensional Data Modeling Across Platforms Asif Razzaq Artificial Intelligence Category – MarkTechPost

NVIDIA Researchers Introduce Order-Preserving Retrieval-Augmented Generation (OP-RAG) for Enhanced Long-Context Question Answering with Large Language Models (LLMs) Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Retrieval-augmented generation (RAG), a technique that enhances the efficiency of large language models (LLMs) in handling extensive amounts of text, is critical in natural language processing, particularly in applications such as question-answering, where maintaining the context of information is crucial for generating accurate responses.… Read More »NVIDIA Researchers Introduce Order-Preserving Retrieval-Augmented Generation (OP-RAG) for Enhanced Long-Context Question Answering with Large Language Models (LLMs) Nikhil Artificial Intelligence Category – MarkTechPost

µFormer: A Deep Learning Framework for Efficient Protein Fitness Prediction and Optimization Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Protein engineering is essential for designing proteins with specific functions, but navigating the complex fitness landscape of protein mutations poses a significant challenge, making it hard to find optimal sequences. Zero-shot approaches, which predict mutational effects without relying on homologs or multiple sequence alignments… Read More »µFormer: A Deep Learning Framework for Efficient Protein Fitness Prediction and Optimization Sana Hassan Artificial Intelligence Category – MarkTechPost

Chai-1 Released by Chai Discovery Team: A Groundbreaking Multi-Modal Foundation Model Set to Transform Drug Discovery and Biological Engineering with Revolutionary Molecular Structure Prediction Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” The Chai Discovery team announced the launch of Chai-1, a groundbreaking multi-modal foundation model designed to predict molecular structures with unprecedented accuracy. This release marks a major advancement in molecular biology and drug discovery, with the model boasting state-of-the-art capabilities across a diverse range… Read More »Chai-1 Released by Chai Discovery Team: A Groundbreaking Multi-Modal Foundation Model Set to Transform Drug Discovery and Biological Engineering with Revolutionary Molecular Structure Prediction Asif Razzaq Artificial Intelligence Category – MarkTechPost