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Creating High-Speed Voice AI Apps on Amazon Web Services

Conversational AI, which includes virtual assistants, contact centers, telehealth, gaming, accessibility tools, and sales agents, is revolutionizing human-technology interaction. However, providing a genuinely natural voice experience is a significant challenge due to latency expectations. Users expect real-time response, and even slight delays can disrupt conversation flow and erode trust. Sta...

Gen Digital Constructs Norton Revamp's Intelligent News Engine through Amazon Bedrock AgentCore Web Search Using AI. Or

In today's digital age, building a professional reputation online is crucial for ambitious professionals. A well-crafted online voice can open doors and differentiate individuals in their fields. Norton Revamp, a generative AI-powered professional reputation management platform, addresses this need by providing real-time awareness of current trends in each user's professional domain. The platfo...

Amazon Quick: Bridging the Gap Between Structured and Unstructured Data

Amazon Quick is a solution that allows organizations to connect and analyze both structured data from databases and spreadsheets, and unstructured data from documents and reports, within a unified experience. This is achieved through the use of a knowledge base for unstructured data stored in Amazon S3, and enriched datasets for structured data. Both types of data can be queried through a singl...

Using Crawl4AI to Readiness Amazon Bedrock Knowledge Bases: A Web Content Preparation Approach

Amazon Bedrock offers Retrieval Augmented Generation (RAG) capabilities through its Managed Knowledge Base. You connect data sources, and Amazon Bedrock manages ingestion, storage, indexing, and retrieval. For web content, use the Amazon Bedrock Web Crawler connector. It crawls URLs or sitemaps you're authorized to access, respecting robots.txt. Custom preparation is necessary for specific sour...

Circle K Speeds Up DevOps Incident Triage to Under 15 Minutes Using Amazon Bedrock

At Circle K, a global convenience and fuel retailer, the high volume of alerts in their cloud-native infrastructure led to lengthy triage processes before remediation could begin. To streamline this process, the company built an automated triage system using Amazon Bedrock, a fully managed service that delivers foundation models through a single API. The AI-driven system autonomously investigat...

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This post discusses building a multi-agent engineering assistant using Amazon Bedrock AgentCore, Nova Multimodal Embeddings, and Strands Agents SDK. The assistant, designed to cut down manual cross-referencing in part substitution evaluation, is composed of three agents: Catalog, Evaluation, and Knowledge. The Catalog agent searches multimodal knowledge bases, the Evaluation agent scores candid...

Improving AdaBoost.R2 Regression with AI in C#

A simple decision tree used for regression in machine learning will often overfit training data, resulting in near perfect accuracy on the training set but poor performance on new, unseen data. AdaBoost.R2, a version of adaptive boosting for regression, addresses this issue by creating an ensemble of many simple decision trees, each trained on a different subset of the source training data that...

Preparing for a Crucial Turning Point: [Title]

Energy experts gathered at the MIT Energy Initiative (MITEI) conference to discuss topics such as utilizing waste carbon at scale, assessing public trust in artificial intelligence and data centers, and building a quantum toolkit for critical applications. The conference attracted over 200 attendees and featured keynote speakers, panelists, seed grant innovators, and startup entrepreneurs. Spea...

Efficiently Create Knowledge-Distilled Agents on Amazon SageMaker AI

Sequence-level knowledge distillation (SeqKD) is a method used to fine-tune a shopping assistant on Amazon SageMaker AI. It uses a larger "teacher" model to generate high-quality responses, which a smaller "student" model is then trained on using supervised fine-tuning. SeqKD is cost-effective and portable as it requires no access to teacher logits or reinforcement-learning infrastructure. The ...

Regina Barzilay and Jim Collins Win Pritzker Prize for AI-Powered Antibiotic Discovery

Regina Barzilay and James Collins of MIT have been awarded the 2026 Pritzker Prize for their pioneering work on using AI to discover antibiotics. Their collaboration integrating deep learning, bioengineering, and experimental validation led to the discovery of halicin in 2020, the first artificial intelligence-discovered broad-spectrum antibiotic that effectively kills antibiotic-resistant bact...

Q&A: Which Political Candidate Should I Support in 2021?

MIT researchers have developed a real-time analysis tool, called the LLM Election Observatory, to examine how AI chatbots respond to questions about the 2026 US midterm elections. The team, led by Professors Adam Berinsky, Chara Podimata, and Charles Stewart III, aims to understand how AI shapes the election discourse and influences voter understanding. The dashboard monitors how different AI s...

MIT Affiliates Named 2026 Schmidt Fellows in AI2050 Program

Five MIT faculty members and two alumni have been named to the 2026 cohort of AI2050 Fellows, a philanthropic initiative aimed at solving hard problems in artificial intelligence. The fellows include Sendhil Mullainathan, a Peter de Florez Professor at MIT with a focus on human-centered AI, and Alex Damian, an assistant professor in the Department of Mathematics at MIT with a research focus on ...

Amazon Bedrock: Streamlining Worldwide Express Freight Exceptions with Automation

Worldwide Express, a division of ShipStation Global, generated approximately $5 billion in revenue from over 130,000 customers and 75 LTL carriers. However, handling exceptions in their invoices resulted in $15 million in frozen free cash flow each month. These exceptions, categorized as line-item mismatches, pricing variances, and unexpected accessorial charges, required manual resolution thro...

Financing Amazon Foundational Costs: A Comprehensive Guide for FinOps and Platform Teams

Cost management for generative AI involves shared responsibility between application build teams and cloud spend accountable teams. Token consumption in generative AI scales with autonomy and context size rather than user interactions. Accurate cost tracking requires modeling rates and measuring actual consumption. The approach includes attributing every dollar, making requests observable, cont...

Live-Preview Web Apps: Let Amazon Bedrock AgentCore Runtime Build and Run for You

Amazon Bedrock AgentCore is a platform to build and optimize coding agents at scale, allowing users to open and review web apps running in each session directly from their browser using Session Endpoints. Each session gets its own authenticated URL, and users can choose which ports to allow for incoming requests. With Session Endpoints, you can watch the webpage update in real-time as the agent...