Bridging philosophy and AI to explore computing ethics
In a new MIT course co-taught by EECS and philosophy professors, students tackle moral dilemmas of the digital age.
Mastering Prompt Engineering
Are you ready to delve into the world of generative AI tools like ChatGPT? Look no further than Don Holman's book, Demystifying the AI Rabbit Hole: Mastering Prompt Engineering. This…
Puzzling out climate change
Accenture Fellow Shreyaa Raghavan applies machine learning and optimization methods to explore ways to reduce transportation sector emissions.
Can deep learning transform heart failure prevention?
A deep neural network called CHAIS may soon replace invasive procedures like catheterization as the new gold standard for monitoring heart health.
Build: An Unorthodox Guide to Making Things Worth Making
Are you looking to create something truly unique and worthwhile? If so, "Build: An Unorthodox Guide to Making Things Worth Making" is the book for you. With 416 pages of…
Governing the ML lifecycle at scale, Part 4: Scaling MLOps with security and governance controls
This post provides detailed steps for setting up the key components of a multi-account ML platform. This includes configuring the ML Shared Services Account, which manages the central templates, model…
Creating a common language
New faculty member Kaiming He discusses AI’s role in lowering barriers between scientific fields and fostering collaboration across scientific disciplines.
Accelerate your Amazon Q implementation: starter kits for SMBs
Starter kits are complete, deployable solutions that address common, repeatable business problems. They deploy the services that make up a solution according to best practices, helping you optimize costs and…
Generative AI Integration Patterns
If you are looking to integrate large language models into your applications, "Generative AI Application Integration Patterns" is the perfect guide for you. Packed with practical tips and strategies, this…
Validation technique could help scientists make more accurate forecasts
MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.