​[[{“value”:” Probabilistic diffusion models have become essential for generating complex data structures such as images & videos. These models transform random noise into structured data, achieving high realism and utility across various domains. The model operates through two phases: a forward phase that gradually corrupts… Read More »This AI Paper Introduces Optimal Covariance Matching for Efficient Diffusion Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” When applying Reinforcement Learning (RL) to real-world applications, two key challenges are often faced during this process. Firstly, the constant online interaction and update cycle in RL places major engineering demands on large systems designed to work with static ML models needing only occasional… Read More »Google AI Introduces Iterative BC-Max: A New Machine Learning Technique that Reduces the Size of Compiled Binary Files by Optimizing Inlining Decisions Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Geometry problem-solving relies heavily on advanced reasoning skills to interpret visual inputs, process questions, and apply mathematical formulas accurately. Although vision-language models (VLMs) have shown progress in multimodal tasks, they still face significant limitations with geometry, particularly in executing unfamiliar mathematical operations, like calculating… Read More »GeoCoder: Enhancing Geometric Reasoning in Vision-Language Models through Modular Code-Finetuning and Retrieval-Augmented Memory Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The efficient training of vision models is still a major challenge in AI because Transformer-based models suffer from computational bottlenecks due to the quadratic complexity of self-attention mechanisms. Also, the ViTs, although extremely promising results on hard vision tasks, require extensive computational and memory… Read More »Researchers at the Ohio State University Introduce Famba-V: A Cross-Layer Token Fusion Technique that Enhances the Training Efficiency of Vision Mamba Models Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Datasets and pre-trained models come with intrinsic biases. Most methods rely on spotting them by analyzing misclassified samples in a semi-automated human computer validation. Deep neural networks, typically fine-tuned foundational models, are widely used in sectors like healthcare, finance, and criminal justice, where biased… Read More »ConceptDrift: An AI Method to Identify Biases Using a Weight-Space Approach Moving Beyond Traditional Data-Restricted Protocols Nazmi Syed Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Text embedding, a central focus within natural language processing (NLP), transforms text into numerical vectors capturing the essential meaning of words or phrases. These embeddings enable machines to process language tasks like classification, clustering, retrieval, and summarization. By structuring data in vector form, embeddings… Read More »Microsoft Asia Research Introduces SPEED: An AI Framework that Aligns Open-Source Small Models (8B) to Efficiently Generate Large-Scale Synthetic Embedding Data Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Meta has recently released NotebookLlama, an open version of Google’s NotebookLM that empowers researchers and developers with accessible, scalable solutions for interactive data analysis and documentation. NotebookLlama integrates large language models directly into an open-source notebook interface, similar to Jupyter or Google Colab, allowing… Read More »Meta AI Silently Releases NotebookLlama: An Open Version of Google’s NotebookLM Asif Razzaq Artificial Intelligence Category – MarkTechPost

​Many healthcare applications are inherently multimodal, involving several physiological signals. As sensors for these signals become more common, improving machine learning methods for multimodal healthcare data is crucial. Pretraining foundation models is a promising avenue for success. However, methods for developing foundation models in healthcare… Read More »Promoting Cross-Modal Representations to Improve Multimodal Foundation Models for Physiological Signals Apple Machine Learning Research

​Manufacturing quality audits are pivotal for ensuring high product standards in mass production environments. Traditional auditing processes, however, are labor-intensive and heavily reliant on human expertise, posing challenges in maintaining transparency, accountability, and continuous improvement across complex global supply chains. To address these challenges, we… Read More »Smart Audit System Empowered by LLM Apple Machine Learning Research

​[[{“value”:” The rise of the information era has brought an overwhelming amount of data in varied formats. Documents, presentations, and images are generated at an astonishing rate across multiple languages and domains. However, retrieving useful information from these diverse sources presents a significant challenge. Conventional… Read More »Meet mcdse-2b-v1: A New Performant, Scalable and Efficient Multilingual Document Retrieval Model Asif Razzaq Artificial Intelligence Category – MarkTechPost