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Scala development in Amazon SageMaker Studio with Almond kernel Varun Rajan Artificial Intelligence

​[[{“value”:” Scala stands out as a versatile programming language that combines object-oriented and functional programming approaches. By running on the Java Virtual Machine (JVM), it maintains seamless compatibility with Java libraries while offering a concise and scalable development experience. The language has distinguished itself in… Read More »Scala development in Amazon SageMaker Studio with Almond kernel Varun Rajan Artificial Intelligence

Magic Words: Programming the Next Generation of AI Applications Tim O’Reilly AI & ML – Radar

​[[{“value”:” “Strange was obliged to invent most of the magic he did, working from general principles and half-remembered stories from old books.” — Susanna Clarke, Jonathan Strange & Mr Norrell Fairy tales, myths, and fantasy fiction are full of magic spells. You say “abracadabra” and… Read More »Magic Words: Programming the Next Generation of AI Applications Tim O’Reilly AI & ML – Radar

Agentic RAG for Software Testing with Hybrid Vector-Graph and Multi-Agent Orchestration Apple Machine Learning Research

​We present an approach to software testing automation using Agentic Retrieval-Augmented Generation (RAG) systems for Quality Engineering (QE) artifact creation. We combine autonomous AI agents with hybrid vector-graph knowledge systems to automate test plan, case, and QE metric generation. Our approach addresses traditional software testing… Read More »Agentic RAG for Software Testing with Hybrid Vector-Graph and Multi-Agent Orchestration Apple Machine Learning Research

Software Defect Prediction using Autoencoder Transformer Model Apple Machine Learning Research

​An AI-ML-powered quality engineering approach uses AI-ML to enhance software quality assessments by predicting defects. Existing ML models struggle with noisy data types, imbalances, pattern recognition, feature extraction, and generalization. To address these challenges, we develop a new model, Adaptive Differential Evolution (ADE) based Quantum… Read More »Software Defect Prediction using Autoencoder Transformer Model Apple Machine Learning Research

Build a device management agent with Amazon Bedrock AgentCore Godwin Sahayaraj Vincent Artificial Intelligence

​[[{“value”:” The proliferation of Internet of Things (IoT) devices has transformed how we interact with our environments, from homes to industrial settings. However, as the number of connected devices grows, so does the complexity of managing them. Traditional device management interfaces often require navigating through… Read More »Build a device management agent with Amazon Bedrock AgentCore Godwin Sahayaraj Vincent Artificial Intelligence

How Amazon Bedrock Custom Model Import streamlined LLM deployment for Salesforce Srikanta Prasad, Utkarsh Arora, Raghav Tanaji, Nitin Surya, Gokulakrishnan Gopalakrishnan, Akhilesh Deepak Gotmare, Artificial Intelligence

​[[{“value”:” This post is cowritten by Salesforce’s AI Platform team members Srikanta Prasad, Utkarsh Arora, Raghav Tanaji, Nitin Surya, Gokulakrishnan Gopalakrishnan, and Akhilesh Deepak Gotmare. Salesforce’s Artificial Intelligence (AI) platform team runs customized large language models (LLMs)—fine-tuned versions of Llama, Qwen, and Mistral—for agentic AI… Read More »How Amazon Bedrock Custom Model Import streamlined LLM deployment for Salesforce Srikanta Prasad, Utkarsh Arora, Raghav Tanaji, Nitin Surya, Gokulakrishnan Gopalakrishnan, Akhilesh Deepak Gotmare, Artificial Intelligence