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SemiKong: An Open Source Foundation Model for Semiconductor Manufacturing Process Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Semiconductors are essential in powering various electronic devices and driving development across telecommunications, automotive, healthcare, renewable energy, and IoT industries. In semiconductor manufacturing and design, the two main phases, FEOL and BEOL, present unique challenges. LLMs are trained on vast amounts of text data… Read More »SemiKong: An Open Source Foundation Model for Semiconductor Manufacturing Process Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

RhoFold+: A Deep Learning Framework for Accurate RNA 3D Structure Prediction from Sequences Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Predicting RNA 3D structures is critical for understanding its biological functions, advancing RNA-targeted drug discovery, and designing synthetic biology applications. However, RNA’s structural flexibility and the limited availability of experimentally resolved data pose challenges. Despite RNA’s importance in gene regulation, RNA-only structures represent less… Read More »RhoFold+: A Deep Learning Framework for Accurate RNA 3D Structure Prediction from Sequences Sana Hassan Artificial Intelligence Category – MarkTechPost

This AI Paper Proposes NLRL: A Natural Language-Based Paradigm for Enhancing Reinforcement Learning Efficiency and Interpretability Nikhil Artificial Intelligence Category – MarkTechPost

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​[[{“value”:” Reinforcement Learning (RL) represents a robust computational approach to decision-making formulated through the Markov Decision Processes (MDPs) framework. RL has gained prominence for its ability to address complex tasks in games, robotics, and computational language processing. RL systems are designed to learn through iterative… Read More »This AI Paper Proposes NLRL: A Natural Language-Based Paradigm for Enhancing Reinforcement Learning Efficiency and Interpretability Nikhil Artificial Intelligence Category – MarkTechPost

Insight-V: Empowering Multi-Modal Models with Scalable Long-Chain Reasoning Aswin Ak Artificial Intelligence Category – MarkTechPost

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​[[{“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

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

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​[[{“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

Accelerating Phase-Field Simulations with Machine Learning: Benchmark Dataset and U-Net Validation Sana Hassan Artificial Intelligence Category – MarkTechPost

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​[[{“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

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

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​[[{“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

aiOla Releases Whisper-NER: An Open Source AI Model for Joint Speech Transcription and Entity Recognition Aswin Ak Artificial Intelligence Category – MarkTechPost

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​[[{“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

CMU Researchers Propose XGrammar: An Open-Source Library for Efficient, Flexible, and Portable Structured Generation Asif Razzaq Artificial Intelligence Category – MarkTechPost

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​[[{“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