AWS Machine Learning Blog

FEBRUARY 29, 2024

client("bedrock-runtime") # Start with the query prompt = "For medical research trial consent forms to sign, what are the top 5 questions can be asked?" Make sure you understand the goals of the research and what the study procedures will entail', 'What are the risks and potential benefits? strip() for item in response.strip().split("nn")[1:-1]

Machine Learning 113

Machine Learning Computer Vision Generative AI Explainability 113

IBM Journey to AI blog

OCTOBER 16, 2023

ML is sometimes used to examine historical patient medical records and outcomes to create new treatment plans. In genetic research, gene modification and genome sequencing, ML is used to identify how genes impact health. These advanced analytics can lead to data-driven personalized medication or treatment recommendations.

Machine Learning 124

Machine Learning ML Algorithm Chatbots 124

Marktechpost

JULY 12, 2023

ProGen was trained on 280M protein sequences from more than 19,000 families, and the model is augmented with control tags specifying the property of the protein. ProGen can be fine-tuned to create more accurate protein sequences using specific sequences and tags. ChemCrow is an LLM chemistry agent that aims to solve this issue.

Large Language Models 52

Large Language Models ChatGPT Explainability LLM 52

Towards AI

JULY 20, 2023

These techniques are increasingly used to speed up and increase the precision of several SLR process steps, including data extraction, selecting primary studies, and formulating research questions. Over the past several years, researchers have increasingly attempted to improve the data extraction process through various ML techniques.

Data Extraction 81

Data Extraction NLP Natural Language Processing Automation 81

John Snow Labs

AUGUST 12, 2023

It provides a scalable and efficient framework for processing and analyzing large volumes of unstructured text data, enabling advanced text mining, sentiment analysis, named entity recognition, part-of-speech tagging, and other essential NLP tasks. The patient was given medication to help with the pressure and was monitored closely.

NLP 52

NLP Large Language Models Natural Language Processing Data Scientist 52

Viso.ai

DECEMBER 20, 2023

Computational vision is the research field that uses machines to collect and analyze images and videos to extract information from processed visual data. CVAT Medical Image Annotation Tool Since AI is a significant technology in medicine, especially in times of the COVID-19 pandemic.

Computer Vision 98

Computer Vision Deep Learning Neural Network Automation 98

AWS Machine Learning Blog

AUGUST 2, 2023

It allows users to quickly and easily find the images they need without having to manually tag or categorize them. Although image description with GenAI is an active area of research, it shows very good results in a wide range of applications, such as image search, visual storytelling, and accessibility for people with visual impairments.

Automation 72

Automation Generative AI Metadata Data Scientist 72

Becoming Human

MAY 12, 2023

Computer vision algorithms had become widespread by the 1970s , and researchers used annotated images to train AI algorithms. As well as being used for identifying language trends, creating datasets for research, and annotating documents for search engines, annotated text can also be used for identifying language trends.

Machine Learning 81

Machine Learning Computer Vision Automation Artificial Intelligence 81

IBM Journey to AI blog

FEBRUARY 14, 2024

IBM Research is working to help its customers use generative models to write high-quality software code faster, discover new molecules , and train trustworthy conversational chatbots grounded on enterprise data. In genetic research, gene modification and genome sequencing, ML is used to identify how genes impact health.

Computer Vision 215

Computer Vision Automation Robotics AI 215

Viso.ai

MARCH 19, 2024

Practical Guide on How to Use Grounded Segment Anything and Integrate with Various Platforms/Frameworks The researchers behind Grounded-SAM encourage other developers to create interesting demos based on the foundation they provided. Or, to develop other new and interesting projects based on Segment-Anything.

Explainability 52

Explainability Computer Vision Machine Learning ChatGPT 52

How to Learn Machine Learning

JANUARY 21, 2023

According to a latest study by Emergen Research , the artificial intelligence market size is projected to reach USD 348.99 For example, AI can be used for medical imaging and diagnostics to provide accurate results, reduce costs, and increase efficiency. billion by 2027, growing at a CAGR of 36.2%.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Robotics Natural Language Processing 52

Heartbeat

FEBRUARY 8, 2023

By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities. Natural Language Processing (NLP) plays a crucial role in advancing research in various fields, such as computational linguistics, computer science, and artificial intelligence.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Deep Learning 52

deepsense.ai

FEBRUARY 6, 2024

This task has applications in various fields such as medical analysis, autonomous driving, and augmented reality. The entire process can be further automated incorporating automatic image tagging using modules like RAM or Tag2Text. Image segmentation Image segmentation involves partitioning images into multiple segments or objects.

Prompt Engineer 99

Prompt Engineer Prompt Engineering NLP Computer Vision 99

Marktechpost

AUGUST 13, 2023

While major research has concentrated on segmenting individual organs and different classes of organs without malignancy, there are other areas of interest. Unfortunately, a lack of training data resulted from the expensive expense of high-quality medical imaging data. Check out the Paper and GitHub.

AI Researcher 52

AI Researcher AI Research ML AI 52

Unite.AI

DECEMBER 1, 2023

all the “fancy” machine learning stuff that people in the community did research and published papers on. In model-centric AI, data scientists or researchers assume the data is static and pour their energy into adjusting model architectures and parameters to achieve better results.

Data Scientist 147

Data Scientist Auto-classification AI AI 147

John Snow Labs

MAY 3, 2024

This library provides over 2,200 pre-trained models and pipelines tailored for medical data, enabling accurate information extraction, NER for clinical and medical concepts, and text analysis capabilities. document_assembler = DocumentAssembler().setInputCol("text").setOutputCol("document")

NLP 52

NLP Automation Natural Language Processing Large Language Models 52

NVIDIA

JULY 13, 2023

This set off demand for generative AI applications that help businesses become more efficient, from providing consumers with answers to their questions to accelerating the work of researchers as they seek scientific breakthroughs, and much, much more. And it takes more than a decade for most new drug candidates to reach the market.

Generative AI 98

Generative AI AI AI Natural Language Processing 98

deepsense.ai

MAY 26, 2023

The resulting canonical form is then passed to an intelligence processing block – AI reads chunks of text, creating a summary and tags to make efficient searches possible – which calculates so-called embedding vectors. Each uploaded document has 3 tags useful for searching, clustering and prompt tuning. link] Video 2.

OpenAI 52

OpenAI Neural Network Prompt Engineer Prompt Engineering 52

Defined.ai blog

APRIL 10, 2023

The model then assigns a category tag to each named entity based on its context within the text. For example, a phrase like “President Biden” would be tagged as a “Person,” while a phrase like “Mount Everest” would be tagged as a “Location.”

NLP 52

NLP Categorization Natural Language Processing Algorithm 52

Defined.ai blog

APRIL 10, 2023

The model then assigns a category tag to each named entity based on its context within the text. For example, a phrase like “President Biden” would be tagged as a “Person,” while a phrase like “Mount Everest” would be tagged as a “Location.”

NLP 52

NLP Categorization Natural Language Processing Algorithm 52

AWS Machine Learning Blog

JANUARY 13, 2023

We used the eICU Collaborative Research Database , a multi-center intensive care unit (ICU) database, comprising 200,859 patient unit encounters for 139,367 unique patients. The eICU data is ideal for developing ML algorithms, decision support tools, and advancing clinical research. HCLS use case. Choose Create peering connection.

Machine Learning 71

Machine Learning ML Categorization Deep Learning 71

Viso.ai

APRIL 26, 2024

” The color “red” is tagged as an attribute of interest, “vehicles” as the object class to be detected, “moving faster than” as the action, and “speed limit” as a contextual parameter. Or, to detect manufacturing defects, such as misaligned components or missing paint.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Natural Language Processing 52

Marek Rei

JANUARY 17, 2018

Staying on top of recent work is an important part of being a good researcher, but this can be quite difficult. link] They incorporate fMRI features into POS tagging, under the assumption that reading semantically/functionally different words will activate the brain in different ways. Copenhagen. Jagannatha, Hong Yu. NAACL 2016.

Machine Learning 52

Machine Learning NLP Neural Network Convolutional Neural Networks 52

AWS Machine Learning Blog

NOVEMBER 21, 2023

Building document processing and understanding solutions for financial and research reports, medical transcriptions, contracts, media articles, and so on requires extraction of information present in titles, headers, paragraphs, and so on. Edouard Belval is a Research Engineer in the computer vision team at AWS.

Generative AI 86

Generative AI LLM AI AI 86

Marek Rei

NOVEMBER 12, 2019

My previous post on summarising 57 research papers turned out to be quite useful for people working in this field, so it is about time for a sequel. Below you will find short summaries of a number of different research papers published in the areas of Machine Learning and Natural Language Processing in the past couple of years (2017-2019).

Machine Learning 52

Machine Learning NLP Neural Network BERT 52

ODSC - Open Data Science

FEBRUARY 8, 2024

If not, how much basic research is expected before a clear path to building the data product will be discovered? This will set the tone for ethical thinking from your team throughout all phases of research and development. Preparing a meal that contains an allergen could lead to serious medical consequences.

AI Strategy 52

AI Strategy Data Scientist Data Science AI 52

Mlearning.ai

MAY 23, 2023

The selection bias occurs in the case when the researcher has to make a decision on which participant to study. The selection bias is associated with those researches when the participant selection is not random. Research the Company: This is the tip that most people miss and it is very important. They are called Type II errors.

Data Science 52

Data Science Neural Network Deep Learning Machine Learning 52

John Snow Labs

MAY 8, 2024

These advanced AI systems have been meticulously trained on datasets covering aspects of medical information, such, as patient records, clinical notes, pathological data and imaging. Through this training process LLMs have gained an ability to process, analyze and comprehend large amounts of unstructured medical data.

Large Language Models 40

Large Language Models Automation NLP Machine Learning 40

Snorkel AI

JUNE 14, 2023

The other one focuses a little bit on a tagging model, both of which are transformer-based models and state-of-the-art. That ranges all the way from analytical and computational linguists to applied research scientists, machine learning engineers, data scientists, product managers, designers, UX researchers, and so on.

Machine Learning 52

Machine Learning Natural Language Processing Data Scientist Computational Linguistics 52

Snorkel AI

JUNE 14, 2023

The other one focuses a little bit on a tagging model, both of which are transformer-based models and state-of-the-art. That ranges all the way from analytical and computational linguists to applied research scientists, machine learning engineers, data scientists, product managers, designers, UX researchers, and so on.

Machine Learning 52

Machine Learning Natural Language Processing Data Scientist Computational Linguistics 52

The MLOps Blog

JUNE 27, 2023

You can use Metaflow for research, development, and production and integrate it with a variety of other tools and services. is an ML metadata store that was built for research and production teams that run many experiments. Netflix runs hundreds to thousands of ML projects on Metaflow—that’s how scalable it is. neptune.ai

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Viso.ai

MARCH 29, 2024

The era of Knowledge-Based Systems: MYCIN (developed in the early 1970s), is an expert system for medical diagnosis that relies on a rule-based knowledge base comprising around 600 rules. Great for researchers, data analysts, and anyone needing to visualize and explore the structure of large networks and knowledge graphs.

ML 52

ML Deep Learning NLP BERT 52

John Snow Labs

JULY 19, 2023

From licensed models delivered via APIs to open-source alternatives available for local deployment, the offerings span a broad spectrum, meeting the varied needs of developers, businesses, and researchers worldwide. Their flagship offering, Claude , is a highly advanced AI assistant that exemplifies the fruits of their research.

LLM 98

LLM OpenAI Large Language Models NLP 98

AWS Machine Learning Blog

NOVEMBER 1, 2023

Their use cases span various domains, from media entertainment to medical diagnostics and quality assurance in manufacturing. Grounded-SAM is an open-source package created by IDEA-Research to detect and segment anything from a given image with text inputs. amazonaws.com # Build the TGI docker image locally docker build. -f

Auto-classification 93

Auto-classification LLM Auto-complete Generative AI 93

The MLOps Blog

MARCH 21, 2023

Depending on the existing team structure and processes of the business, your ML engineers may work on delivering models to production, and your data scientists may focus on research and experimentation. Depending on the organization, they are either pure software engineers or simply tagged “DevOps engineers” (or IT engineers).

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69