​[[{“value”:” This post is co-authored with Nishant Gupta from InsuranceDekho. The insurance industry is complex and overwhelming, with numerous options that can be hard for consumers to understand. This complexity hinders customers from making informed decisions. As a result, customers face challenges in selecting the… Read More »How InsuranceDekho transformed insurance agent interactions using Amazon Bedrock and generative AI Vishal Gupta AWS Machine Learning Blog

​A chatbot is a computer program that can talk to people. A chatbot is a computer program that can talk to people.  Read More  

​[[{“value”:” Home Table of Contents Build a Network Intrusion Detection System with Variational Autoencoders Understanding Network Intrusion and the Role of Anomaly Detection What Is Network Intrusion? Importance and Necessity for Advanced IDS Autoencoders for Anomaly Detection What Are Autoencoders? Autoencoders as Anomaly Detection Algorithms… Read More »Build a Network Intrusion Detection System with Variational Autoencoders Puneet Mangla PyImageSearch

​[[{“value”:” Recommender systems have been widely applied for studying user preferences; however, they face significant challenges in accurately capturing user preferences, particularly in the context of neural graph collaborative filtering. While these systems use interaction histories between users and items through Graph Neural Networks (GNNs)… Read More »DeBaTeR: A New AI Method that Leverages Time Information in Neural Graph Collaborative Filtering to Enhance both Denoising and Prediction Performance Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Identifying gene deletion strategies for growth-coupled production in genome-scale metabolic models presents significant computational challenges. Growth-coupled production, which links cell growth to the synthesis of target metabolites, is essential for metabolic engineering applications. However, deriving gene deletion strategies for large-scale models places high computational… Read More »DBgDel: Database-Enhanced Gene Deletion Framework for Growth-Coupled Production in Genome-Scale Metabolic Models Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In recent times, Retrieval-augmented generation (RAG) has become popular due to its ability to solve challenges using Large Language Models, such as hallucinations and outdated training data. A RAG pipeline consists of two components: a retriever and a reader. The retriever component finds useful… Read More »Balancing Accuracy and Speed in RAG Systems: Insights into Optimized Retrieval Techniques Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Self-supervised learning on offline datasets has permitted large models to reach remarkable capabilities both in text and image domains. Still, analogous generalizations for agents acting sequentially in decision-making problems are difficult to attain. The environments of classical Reinforcement Learning (RL) are mostly narrow and… Read More »Kinetix: An Open-Ended Universe of Physics-based Tasks for Reinforcement Learning Nazmi Syed Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are particularly effective when dealing with complex datasets. The core principle behind SVM is to identify the optimal… Read More »Support Vector Machine (SVM) Algorithm Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have revolutionized artificial intelligence applications across various fields, enabling domain experts to use pre-trained models for innovative solutions. While LLMs excel at tasks like summarization, correlation, and inference, developing LLM-based applications remains a dynamic area of research across various input… Read More »GraphAide: Building and Utilizing Knowledge Graphs for Domain-Specific Digital Assistants Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Understanding biomolecular interactions is crucial for fields like drug discovery and protein design. Traditionally, determining the three-dimensional structure of proteins and other biomolecules required costly and time-consuming laboratory experiments. AlphaFold3, launched in 2024, revolutionized the field by demonstrating that deep learning could achieve experimental-level… Read More »MIT Researchers Propose Boltz-1: The First Open-Source AI Model Achieving AlphaFold3-Level Accuracy in Biomolecular Structure Prediction Asif Razzaq Artificial Intelligence Category – MarkTechPost