Categories: FAANG

Developing reliable AI tools for healthcare

We’ve published our joint paper with Google Research in Nature Medicine, which proposes CoDoC (Complementarity-driven Deferral-to-Clinical Workflow), an AI system that learns when to rely on predictive AI tools or defer to a clinician for the most accurate interpretation of medical images.
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Recent Posts

Statistical Methods for Evaluating LLM Performance

The large language model (LLM) has become a cornerstone of many AI applications.

17 hours ago

Getting started with computer use in Amazon Bedrock Agents

Computer use is a breakthrough capability from Anthropic that allows foundation models (FMs) to visually…

17 hours ago

OpenAI’s strategic gambit: The Agents SDK and why it changes everything for enterprise AI

OpenAI's new API and Agents SDK consolidate a previously fragmented complex ecosystem into a unified,…

18 hours ago

Under Trump, AI Scientists Are Told to Remove ‘Ideological Bias’ From Powerful Models

A directive from the National Institute of Standards and Technology eliminates mention of “AI safety”…

18 hours ago

Exploring Prediction Targets in Masked Pre-Training for Speech Foundation Models

Speech foundation models, such as HuBERT and its variants, are pre-trained on large amounts of…

2 days ago

How GoDaddy built a category generation system at scale with batch inference for Amazon Bedrock

This post was co-written with Vishal Singh, Data Engineering Leader at Data & Analytics team…

2 days ago