AI Weekly

APRIL 6, 2023

Discover what the most trusted industry experts are reading to expand your knowledge by choosing from 10 AI topics : AI General News | AI Ethics | AI Applied Use Cases | AI Robotics | AI Research | AI Marketing | AI Healthcare | AI Cybersecurity | AI For Good | Business of AI | Artificial Intelligence Weekly This RSS feed is published on [link].

Generative AI 130

Generative AI Artificial Intelligence Artificial Intelligence Robotics 130

AI Weekly

JULY 13, 2023

However, sharing biomedical data can put sensitive personal information at risk. Dr Hiroaki Kitano, Japanese artificial intelligence researcher, holding two members of his miniature robot football team.Peter Menzel/Science Source RoboCup’s original goal, as defined by founding president Hiroaki Kitano.

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Neural Network Robotics Computer Vision ChatGPT 172

Snorkel AI

MAY 18, 2023

So my group here at Stanford develops machine learning algorithms for biomedical and healthcare applications. So all of this highlights the importance of really taking a data-centric perspective in biomedical AI, both in building the AI systems and also in evaluating and monitoring the performance of these AI systems. Makes sense.

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Machine Learning AI AI Algorithm 52

Snorkel AI

MAY 18, 2023

So my group here at Stanford develops machine learning algorithms for biomedical and healthcare applications. So all of this highlights the importance of really taking a data-centric perspective in biomedical AI, both in building the AI systems and also in evaluating and monitoring the performance of these AI systems. Makes sense.

Machine Learning 52

Machine Learning AI AI Algorithm 52

Dlabs.ai

DECEMBER 9, 2021

There’s plenty of literature that covers the topic. So if you already have a grounding in the topic, this article might be more of a quick review, but either way, the basics are essential to growth, so we’re sure everyone can find value in the resources shared below. But how can you find the best books on NLP? Let’s begin.

Natural Language Processing 59

Natural Language Processing Neural Network NLP Deep Learning 59

ODSC - Open Data Science

APRIL 26, 2023

By harnessing the power of AI, the company provides computing paradigms that help in biomedical research through high-performance computing. Meet some of the leading minds from trailblazing organizations such as Oracle, Mitre, Novartis, and more as they cover the topics impacting AI in Healthcare and Biopharma. Pretty great right?

Natural Language Processing 52

Natural Language Processing Algorithm NLP Machine Learning 52

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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ChatGPT OpenAI Large Language Models LLM 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.

Large Language Models 176

Large Language Models Computer Scientist Chatbots OpenAI 176

Viso.ai

FEBRUARY 28, 2023

In this article, we will cover the following topics: Introduction to OpenCV What is Open CV? Some people are aware of niche applications in safety monitoring, unmanned flying vehicles (drones), or biomedical analysis. Hence, the world’s leading companies across industries use OpenCV to develop their computer vision systems.

Computer Vision 52

Computer Vision Automation Algorithm Deep Learning 52

Viso.ai

JANUARY 2, 2024

U-Net, a CNN architecture for biomedical image segmentation, is a prime example. Text Processing with CNNs In text processing, CNNs are remarkably efficient, particularly in tasks like sentiment analysis, topic categorization, and language translation. CNNs enable similar progress in image segmentation.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Data Scarcity 52

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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ML Algorithm Machine Learning Neural Network 95

Viso.ai

FEBRUARY 23, 2024

Viso Suite: the only end-to-end computer vision platform Understanding Segmentation Before we dive into the intricacies of OMG-Seg, we’ll brief recap on the topic of image segmentation. UNET The U-Net architecture is popular for semantic segmentation of Biomedical image data. Get a demo.

Computer Vision 98

Computer Vision Convolutional Neural Networks Deep Learning Neural Network 98

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.

Generative AI 108

Generative AI Prompt Engineer Prompt Engineering AI 108

Allen AI

AUGUST 18, 2023

Models such as GPT-Neo or Pythia (both trained on The Pile ) have shown the importance of training on a diverse set of documents, such as technical documents or biomedical articles. Though there are related papers on topics such as handling toxic text , we are not sure whether these techniques are applied to the production Claude model.

Auto-complete 98

Auto-complete Large Language Models NLP Explainability 98

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.

Computer Vision 67

Computer Vision Neural Network Deep Learning Categorization 67

Viso.ai

DECEMBER 6, 2023

In this regard, this article will explore the following topics: The state of computer vision in 2024 What are the most popular computer vision tasks? U-Net The primary purpose of the U-Net architecture was to segment biomedical images, which requires high localization accuracy. About Us: Viso.ai

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Categorization 52

Sebastian Ruder

DECEMBER 6, 2021

2019 ) have been effective for biomedical and scientific domains respectively. 2021 ) Homogeneity   In order to make collection scalable, multilingual datasets often collect data that covers the same question or similar topics across languages, thus missing out on language-specific nuances. 2019 ) and SciBERT ( Beltagy et al.,

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BERT NLP Natural Language Processing Computational Linguistics 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…

NLP 98

NLP Neural Network Natural Language Processing Computer Vision 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…

NLP 52

NLP Neural Network Natural Language Processing Computer Vision 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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BERT Large Language Models Prompt Engineer Prompt Engineering 128