AI

3 Questions: Building predictive models to characterize tumor progression

Just as Darwin’s finches evolved in response to natural selection in order to endure, the cells that make up a cancerous tumor similarly counter selective pressures in order to survive, evolve, and spread. Tumors are, in fact, complex sets of cells with their own unique structure and ability to change.  Today, artificial Intelligence and machine

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How Joseph Paradiso’s sensing innovations bridge the arts, medicine, and ecology

Joseph Paradiso thinks that the most engaging research questions usually span disciplines.  Paradiso was trained as a physicist and completed his PhD in experimental high-energy physics at MIT in 1981. His father was a photographer and filmmaker working at MIT, MIT Lincoln Laboratory, and the MITRE Corporation, so he grew up in a house where artists,

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Accelerate custom LLM deployment: Fine-tune with Oumi and deploy to Amazon Bedrock

This post is cowritten by David Stewart and Matthew Persons from Oumi. Fine-tuning open source large language models (LLMs) often stalls between experimentation and production. Training configurations, artifact management, and scalable deployment each require different tools, creating friction when moving from rapid experimentation to secure, enterprise-grade environments. In this post, we show how to fine-tune

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