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...
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...
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...
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...
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...
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...
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 ...
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...
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 ...
The ChatGPT desktop app, a desktop application of OpenAI's advanced models, is now accessible on Amazon Bedrock in AWS GovCloud (US) through two components: Work for larger tasks and Codex for technical work. The app is ideal for organizations with specific security requirements, routing model requests to Amazon Bedrock Mantle in us-gov-west-1 via AWS Identity and Access Management (IAM) and ex...
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...
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...
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...
A team has developed a novel approach to testing software called Just-in-Time Tests (JiTTests), which uses large language models to catch bugs on the fly. This method, which was previously shared as research, has now been successfully implemented at Meta, where it helps identify risks earlier and delivers reliable experiences at scale. JiTTests generate executable tests that demonstrate behavio...
This post describes a method for migrating a mature PHP application to Java using an AI integrated development environment called Kiro. With Kiro, you can make PHP-to-Java migration a measurable and repeatable process. Kiro's approach centers on an engine with a shared methodology, mechanical discovery scanner, and an eight-phase workflow. The engine uses a parity harness to verify the accuracy...