​[[{“value”:” This post is co-written with Kaustubh Kambli from DXC Technology. DXC Technology is an IT services leader with more than 130,000 employees supporting 6,000 customers in over 70 countries. DXC builds offerings across industry verticals to deliver accelerated value to their customers. One of… Read More »DXC transforms data exploration for their oil and gas customers with LLM-powered tools Aude Genevay AWS Machine Learning Blog

​The AI Science Forum highlights AI’s present and potential role in revolutionizing scientific discovery and solving global challenges, emphasizing collaboration between the scientific community, policymakers, and industry leaders. The AI Science Forum highlights AI’s present and potential role in revolutionizing scientific discovery and solving global challenges,… Read More »The AI for Science Forum: A new era of discovery Google DeepMind Blog

​[[{“value”:” This post is co-written with Vladimir Turzhitsky, Varun Kumar Nomula and Yezhou Sun from MSD. Generative AI is transforming the way healthcare organizations interact with their data. Large language models (LLMs) can help uncover insights from structured data such as a relational database management… Read More »How MSD uses Amazon Bedrock to translate natural language into SQL for complex healthcare databases Tesfagabir Meharizghi AWS Machine Learning Blog

​[[{“value”:” Resilient architectures are the foundation upon which successful businesses are built. However, keeping up with the latest advancements and making sure your systems are resilient can be a daunting task. Between monitoring, analyzing, and documenting architectural findings, a lack of crucial information can leave… Read More »Generate AWS Resilience Hub findings in natural language using Amazon Bedrock Ibrahim Ahmad AWS Machine Learning Blog

​[[{“value”:” The field of artificial intelligence is advancing rapidly, yet significant challenges remain in developing and applying AI systems, particularly in complex reasoning. Many current AI solutions, including advanced models like GPT-4 and Claude 3.5 Sonnet, still struggle with intricate coding tasks, deep conversations, and… Read More »Fireworks AI Releases f1: A Compound AI Model Specialized in Complex Reasoning that Beats GPT-4o and Claude 3.5 Sonnet Across Hard Coding, Chat and Math Benchmarks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent enhancements in the field of generative AI, such as media generation technologies, are rapidly transforming the way businesses create and manipulate visual content. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies… Read More »Generate and evaluate images in Amazon Bedrock with Amazon Titan Image Generator G1 v2 and Anthropic Claude 3.5 Sonnet Raul Tavares AWS Machine Learning Blog

​[[{“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