Flipboard

JULY 7, 2023

To understand how this new mode of AI will affect medicine, IEEE Spectrum spoke with Isaac Kohane , Chair of the Department of Biomedical Informatics at Harvard Medical School. One last question about a big topic: global health. In the book you say that this could be one of the places where there’s a huge benefit to be gained.

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AI AI Azure Computer Science 145

Flipboard

MARCH 30, 2023

And he thinks it could increase efficiency and even empathy in the medical system, as well as boost biomedical research. Lee is also soon releasing a book with his colleagues, “The AI revolution in medicine: GPT-4 and beyond,” exploring the implications in depth, and he released a podcast on the topic Thursday.

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DrivenData Labs

MARCH 30, 2023

Hyunghoon Cho is a Schmidt Fellow at Broad Institute, where his research involves solving problems in the areas of biomedical privacy, genomics, and network biology with novel computational methods. Shaishav Jain is a Data Science Associate Consultant at ZS.

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162

Dataconomy

JULY 9, 2019

Can you fight cancer with the help of Big Data and Machine Learning? How can these technologies help in the procedure of diagnosis, drug discovery and treating cancer? Cancer is an ailment with a long tail distribution. This implies there are different explanations for this condition to take place with. The post Have we lost the cancer battle?

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Big Data Big Data Machine Learning Machine Learning 192

DrivenData Labs

APRIL 10, 2024

The objective of the SNOMED CT Entity Linking Challenge was to link spans of text in clinical notes with specific topics in the SNOMED CT clinical terminology. His main research interest lies in applying AI to topics related to ophthalmology. Below is a synthetic example that illustrates the basic structure of the task.

Computer Science 264

Computer Science Computer Science Machine Learning Machine Learning 264

AWS Machine Learning Blog

OCTOBER 10, 2023

For each training round, the state machine sends out an Amazon Simple Notification Service (Amazon SNS) notification to the topic global_model_ready , along with a task token (Step 1). There are SQS queues subscribing to the global_model_ready topic. The state machine then pauses and waits for a callback with the task token.

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AWS Machine Learning Blog

MARCH 14, 2024

For example, a question answering application could retrieve passages about a topic before generating a summarizing answer. Summarization – RAG can find relevant source documents, passages, or facts to augment a summarization model’s understanding of a topic, allowing it to generate better summaries.

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AWS AI AI ML 112

PyImageSearch

NOVEMBER 6, 2023

U-Net is a prominent semantic segmentation model initially designed for biomedical image segmentation. U-Net Framework The U-Net model emerged from the research paper titled U-Net: Convolutional Networks for Biomedical Image Segmentation. My mission is to change education and how complex Artificial Intelligence topics are taught.

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Deep Learning Deep Learning Python Data Preparation 67

Iguazio

OCTOBER 31, 2023

The GHO includes data sets and reports from 194 countries on a wide variety of topics. Health topics include mortality, child nutrition, water and sanitation, HIV/AIDS, health systems, injuries, and more. DHS Program Medical datasets from the DHS (Democratic and Health Services) Program spanning multiple topics.

Machine Learning 52

Machine Learning Machine Learning Database ML 52

Towards AI

JULY 19, 2023

Google Colaboratory Edit description colab.research.google.com Topic Modeling What to know what cross-lingual zero-sot topic modeling is all about? Imagine you want your model to learn topics in the English language and then you want it to predict unseen topics in Italian documents it has also never seen. torch==1.2.0…

Natural Language Processing 98

Natural Language Processing Azure Python Artificial Intelligence 98

Towards AI

JULY 21, 2023

Google Colaboratory Edit description colab.research.google.com Topic Modeling What to know what cross-lingual zero-sot topic modeling is all about? Imagine you want your model to learn topics in the English language and then you want it to predict unseen topics in Italian documents it has also never seen. torch==1.2.0…

Natural Language Processing 52

Natural Language Processing Azure Python Artificial Intelligence 52

Iguazio

APRIL 24, 2024

They can generate coherent and contextually relevant responses over a wide range of topics, making them ideal for applications like chatbots, content creation and language translation. This makes them useful for applications like financial forecasting or biomedical analyses.

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ML ML AI AI 52

Flipboard

DECEMBER 6, 2023

Summarize text by topics – This approach helps maintain a logical flow and reduce information loss, and it prioritizes the retention of crucial information. If you’re using LLMs, craft clear and specific prompts that guide the model to summarize a particular topic instead of the whole body of text.

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