SageMaker Clarify Blog

Explain medical decisions in clinical settings using Amazon SageMaker Clarify

Explainability of machine learning (ML) models used in the medical domain is becoming increasingly important because models need to be explained from a number of perspectives in order to gain adoption. These perspectives range from medical, technological, legal, and the most important perspective—the patient’s. Models developed on text in the medical domain have become accurate …

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What is Multimodal Search: “LLMs with vision” change businesses

What if large language models (LLMs) had “vision”, the ability to understand the meaning of images? Just like we have seen the innovation with LLMs with chatbots and text data, the ability would make another huge impact on businesses by letting LLMs look at and organize millions of images in enterprise IT systems. In this …

NVIDIA Chief Scientist Bill Dally to Keynote at Hot Chips

Bill Dally — one of the world’s foremost computer scientists and head of NVIDIA’s research efforts — will describe the forces driving accelerated computing and AI in his keynote address at Hot Chips, an annual gathering of leading processor and system architects. Dally will detail advances in GPU silicon, systems and software that are delivering …

A Gentle Introduction to Lists and Data Frames in R

Vectors in R are supposed to be of homogeneous data type. You can use a list as the container if there are mixed data types, such as numbers and strings. The list and data frame are closely related in R. The data frame is probably more useful because it reflects how we usually collect statistics. …