​[[{“value”:” The capability of multimodal large language models (MLLMs) to enable complex long-chain reasoning that incorporates text and vision raises an even greater barrier in the realm of artificial intelligence. While text-centric reasoning tasks are being gradually advanced, multimodal tasks add additional challenges rooted in… Read More »Insight-V: Empowering Multi-Modal Models with Scalable Long-Chain Reasoning Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Filtering, scanning, and updating data are important operations in databases, and many data structures are used to perform these operations. In real-world situations, it’s important to manage multidimensional data, and the Kd-tree and its variations are popular structures used for this purpose. Various research… Read More »Researchers at the University of Tokyo Propose FlexFlood: A Data Updating Algorithm that Ensures Fast Search Even if Data Distribution Changes Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Phase-field models serve as a crucial mesoscale simulation method, bridging atomic-scale models and macroscopic phenomena by describing microstructural evolution and phase transformations. These models extract local free energy density information from lower-scale simulations and use it to predict larger-scale material behavior. Phase-field methods are… Read More »Accelerating Phase-Field Simulations with Machine Learning: Benchmark Dataset and U-Net Validation Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Transformer architectures have revolutionized Natural Language Processing (NLP), enabling significant language understanding and generation progress. Large Language Models (LLMs), which rely on these architectures, have achieved remarkable performance across various applications such as conversational systems, content creation, and summarization. However, the efficiency of LLMs… Read More »Intel AI Research Releases FastDraft: A Cost-Effective Method for Pre-Training and Aligning Draft Models with Any LLM for Speculative Decoding Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Speech recognition technology has made significant progress, with advancements in AI improving accessibility and accuracy. However, it still faces challenges, particularly in understanding spoken entities like names, places, and specific terminology. The issue is not only about converting speech to text accurately but also… Read More »aiOla Releases Whisper-NER: An Open Source AI Model for Joint Speech Transcription and Entity Recognition Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The field of structured generation has become important with the rise of LLMs. These models, capable of generating human-like text, are now tasked with producing outputs that follow rigid formats such as JSON, SQL, and other domain-specific languages. Applications like code generation, robotic control,… Read More »CMU Researchers Propose XGrammar: An Open-Source Library for Efficient, Flexible, and Portable Structured Generation Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In an era of information overload, advancing AI requires not just innovative technologies but smarter approaches to data processing and understanding. Meet CircleMind, an AI startup reimagining Retrieval Augmented Generation (RAG) by using knowledge graphs and the established PageRank algorithm. Funded by Y Combinator,… Read More »Meet CircleMind: An AI Startup that is Transforming Retrieval Augmented Generation with Knowledge Graphs and PageRank Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Despite the success of Vision Transformers (ViTs) in tasks like image classification and generation, they face significant challenges in handling abstract tasks involving relationships between objects. One key limitation is their difficulty in accurately performing visual relational tasks, such as determining if two objects… Read More »Uncovering How Vision Transformers Understand Object Relations: A Two-Stage Approach to Visual Reasoning Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Strategic planning in artificial intelligence has reached significant milestones, especially in achieving superhuman performance in complex games like Go. Large Language Models (LLMs) integrated with advanced planning algorithms have shown remarkable improvements in complex reasoning tasks. However,  several critical challenges emerge when these capabilities… Read More »WebDreamer: Enhancing Web Navigation Through LLM-Powered Model-Based Planning Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Diffusion models have emerged as transformative tools in machine learning, providing unparalleled capabilities for generating high-quality samples across domains such as image synthesis, molecule design, and audio creation. These models function by iteratively refining noisy data to match desired distributions, leveraging advanced denoising processes.… Read More »Training-Free Guidance (TFG): A Unified Machine Learning Framework Transforming Conditional Generation in Diffusion Models with Enhanced Efficiency and Versatility Across Domains Sana Hassan Artificial Intelligence Category – MarkTechPost