Скачать или смотреть Uncertainty AI: Breakthrough for Human-AI Reasoning

Uncertainty AI framework implemented in MedAI by Google. AMIE as a new and amazing Blueprint for "Human-Aligned AI".

This new Ai research study isn’t just about building a better diagnostic tool - it’s a roadmap for aligning AI with human cognitive processes in high-stakes domains.

By forcing AI models to reason like clinicians (iteratively, transparently, and multimodally), the researchers bridge the gap between technical capability and real-world utility.

The next frontier is indeed scaling this framework to domains beyond medicine, like climate modeling or legal reasoning, where uncertainty and multimodal data reign supreme.

all rights w/ authors:
Advancing Conversational Diagnostic AI with Multimodal Reasoning
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Khaled Saab∗,1,
Jan Freyberg∗,2,
Chunjong Park∗,1,
Tim Strother1
, Yong Cheng1
, Wei-Hung Weng1
David G.T. Barrett1
, David Stutz1
, Nenad Tomasev1
, Anil Palepu2
, Valentin Liévin1
, Yash Sharma2
Abdullah Ahmed2
, Elahe Vedadi1
, Kimberly Kanada2
, Cian Hughes2
, Yun Liu2
, Geoff Brown2
, Yang Gao1
Sean Li1
, S. Sara Mahdavi1
, James Manyika2
, Katherine Chou2
, Yossi Matias2
, Avinatan Hassidim1
Dale R. Webster2
, Pushmeet Kohli1
, S.M. Ali Eslami1
, Joëlle Barral1
, Adam Rodman2
, Vivek Natarajan2
Mike Schaekermann2
, Tao Tu1
, Alan Karthikesalingam†,2 and Ryutaro Tanno†,1
*Equal contributions, †Equal leadership,
from
1 Google DeepMind,
2 Google Research

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