3 Questions: Building predictive models to characterize tumor progression
Assistant Professor Matthew Jones is working to decode molecular processes on the genetic, epigenetic, and…
Category: Machine Learning
How Joseph Paradiso’s sensing innovations bridge the arts, medicine, and ecology
From early motion-sensing platforms to environmental monitoring, the professor and head of the Program in…
Setting Up a Google Colab AI-Assisted Coding Environment That Actually Works
This article focuses on Google Colab , an increasingly popular, free, and accessible, cloud-based Python…
Gemini in Google Sheets just achieved state-of-the-art performance.
Today we announced new beta features for Gemini in Sheets to help you create, organize…
New Kinds of Applications
I’ve said in the past that AI will enable new kinds of applications—but I’ve never…
From Text to Tables: Feature Engineering with LLMs for Tabular Data
While large language models (LLMs) are typically used for conversational purposes in use cases that…
Neurons receive precisely tailored teaching signals as we learn
New work suggests the brain can deliver neuron-specific feedback during learning — resembling the error…
Soft Forks: How Agent Skills Create Specialized AI Without Training
Our previous article framed the Model Context Protocol (MCP) as the toolbox that provides AI…
Improving AI models’ ability to explain their predictions
A new approach could help users know whether to trust a model’s predictions in safety-critical…