Image recognition accuracy: An unseen challenge confounding today’s AI
“Minimum viewing time” benchmark gauges image recognition complexity for AI systems by measuring the time needed for accurate human identification.
Artificial Intelligence
Computational model captures the elusive transition states of chemical reactions
Using generative AI, MIT chemists created a model that can predict the structures formed when a chemical reaction reaches its point of no return.
Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools | Amazon Web Services
Amazon SageMaker Studio offers a broad set of fully managed integrated development environments (IDEs) for machine learning (ML) development, including JupyterLab, Code Editor based on Code-OSS (Visual Studio Code Open…
AI meets climate: MIT Energy and Climate Hack 2023
The Energy and Climate Hack presented opportunities for students and companies to collaborate and develop innovative solutions.
Improve your Stable Diffusion prompts with Retrieval Augmented Generation | Amazon Web Services
Text-to-image generation is a rapidly growing field of artificial intelligence with applications in a variety of areas, such as media and entertainment, gaming, ecommerce product visualization, advertising and marketing, architectural…
Streamlining ETL data processing at Talent.com with Amazon SageMaker | Amazon Web Services
This post outlines the ETL pipeline we developed for feature processing for training and deploying a job recommender model at Talent.com. Our pipeline uses SageMaker Processing jobs for efficient data…
Automate PDF pre-labeling for Amazon Comprehend | Amazon Web Services
Amazon Comprehend is a natural-language processing (NLP) service that provides pre-trained and custom APIs to derive insights from textual data. Amazon Comprehend customers can train custom named entity recognition (NER)…
Three MIT students selected as inaugural MIT-Pillar AI Collective Fellows
The graduate students will aim to commercialize innovations in AI, machine learning, and data science.
Deep neural networks show promise as models of human hearing
Study shows computational models trained to perform auditory tasks display an internal organization similar to that of the human auditory cortex.
Create summaries of recordings using generative AI with Amazon Bedrock and Amazon Transcribe | Amazon Web Services
Meeting notes are a crucial part of collaboration, yet they often fall through the cracks. Between leading discussions, listening closely, and typing notes, it’s easy for key information to slip…