AI system predicts protein fragments that can bind to or inhibit a target
FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.
February 2025
Generate synthetic counterparty (CR) risk data with generative AI using Amazon Bedrock LLMs and RAG
In this post, we explore how you can use LLMs with advanced Retrieval Augmented Generation (RAG) to generate high-quality synthetic data for a finance domain use case. You can use…
MIT spinout maps the body’s metabolites to uncover the hidden drivers of disease
ReviveMed uses AI to gather large-scale data on metabolites — molecules like lipids, cholesterol, and sugar — to match patients with therapeutics.
Like human brains, large language models reason about diverse data in a general way
A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.
AI for Beginners
If you're new to the world of artificial intelligence and looking to quickly get up to speed on the basics, "AI for Beginners" is the perfect book for you. This…
Using Amazon Rekognition to improve bicycle safety
To better protect themselves, many cyclists are starting to ride with cameras mounted to the front or back of their bicycle. In this blog post, I will demonstrate a machine…
Artificial Intelligence for Teenagers
Are you intrigued by the world of artificial intelligence but overwhelmed by the technical jargon? Look no further than "Artificial Intelligence: An Introduction to AI for Teenagers" by Matt Greenwood.…
AI model deciphers the code in proteins that tells them where to go
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.
Use language embeddings for zero-shot classification and semantic search with Amazon Bedrock
In this post, we explore what language embeddings are and how they can be used to enhance your application. We show how, by using the properties of embeddings, we can…
Build a dynamic, role-based AI agent using Amazon Bedrock inline agents
In this post, we explore how to build an application using Amazon Bedrock inline agents, demonstrating how a single AI assistant can adapt its capabilities dynamically based on user roles.