AI News

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NeuralDEM: Pioneering High-Performance Simulation of Large-Scale Particulate Systems with Multi-Branch Neural Operator Architectures

NeuralDEM: Pioneering High-Performance Simulation of La...

Developments in simulating particulate flows have significantly impacted industr...

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DBgDel: Database-Enhanced Gene Deletion Framework for Growth-Coupled Production in Genome-Scale Metabolic Models

DBgDel: Database-Enhanced Gene Deletion Framework for G...

Identifying gene deletion strategies for growth-coupled production in genome-sca...

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Balancing Accuracy and Speed in RAG Systems: Insights into Optimized Retrieval Techniques

Balancing Accuracy and Speed in RAG Systems: Insights i...

In recent times, Retrieval-augmented generation (RAG) has become popular due to ...

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Kinetix: An Open-Ended Universe of Physics-based Tasks for Reinforcement Learning

Kinetix: An Open-Ended Universe of Physics-based Tasks ...

Self-supervised learning on offline datasets has permitted large models to reach...

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Support Vector Machine (SVM) Algorithm

Support Vector Machine (SVM) Algorithm

Support Vector Machines (SVMs) are a powerful and versatile supervised machine l...

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GraphAide: Building and Utilizing Knowledge Graphs for Domain-Specific Digital Assistants

GraphAide: Building and Utilizing Knowledge Graphs for ...

Large Language Models (LLMs) have revolutionized artificial intelligence applica...

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DeBaTeR: A New AI Method that Leverages Time Information in Neural Graph Collaborative Filtering to Enhance both Denoising and Prediction Performance

DeBaTeR: A New AI Method that Leverages Time Informatio...

Recommender systems have been widely applied for studying user preferences; howe...

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Rethinking Scaling Laws in AI Development

Rethinking Scaling Laws in AI Development

As developers and researchers push the boundaries of LLM performance, questions ...

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Asynchronous AI Agent Framework: Enhancing Real-Time Interaction and Multitasking with Event-Driven FSM Architecture

Asynchronous AI Agent Framework: Enhancing Real-Time In...

While today’s LLMs can skillfully use various tools, they still operate synchron...

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This AI Paper from Vectara Evaluates Semantic and Fixed-Size Chunking: Efficiency and Performance in Retrieval-Augmented Generation Systems

This AI Paper from Vectara Evaluates Semantic and Fixed...

Retrieval-augmented generation (RAG) systems are essential in enhancing language...

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Why AI Language Models Are Still Vulnerable: Key Insights from Kili Technology’s Report on Large Language Model Vulnerabilities

Why AI Language Models Are Still Vulnerable: Key Insigh...

Kili Technology recently released a detailed report highlighting significant vul...

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List of Large Mixture of Experts (MoE) Models: Architecture, Performance, and Innovations in Scalable AI Solutions

List of Large Mixture of Experts (MoE) Models: Architec...

Mixture of Experts (MoE) models represents a significant breakthrough in machine...

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Meet NEO: A Multi-Agent System that Automates the Entire Machine Learning Workflow

Meet NEO: A Multi-Agent System that Automates the Entir...

Machine learning (ML) engineers face many challenges while working on end-to-end...

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Microsoft AI Research Released 1 Million Synthetic Instruction Pairs Covering Different Capabilities

Microsoft AI Research Released 1 Million Synthetic Inst...

Instruction-tuned large language models (LLMs) have redefined natural language p...

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LLaMA-Mesh: A Novel AI Approach that Unifies 3D Mesh Generation with Large Language Models by Representing Meshes as Plain Text

LLaMA-Mesh: A Novel AI Approach that Unifies 3D Mesh Ge...

A significant challenge in the field of artificial intelligence is to facilitate...

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Top 7 Graph Database Visualization Tools

Top 7 Graph Database Visualization Tools

Data visualization is a powerful technique that transforms complex data into eas...

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