DrivenData Labs

NOVEMBER 14, 2023

The goal of the Pale Blue Dot: Visualization Challenge is to illustrate how these datasets can advance three key UN Sustainable Development Goals (SDGs): 2 - Zero Hunger, 6 - Clean Water and Sanitation, and 13 - Climate Action. For example, GRACE-FO data has been used to monitor the health of critical freshwater ecosystems in Cambodia.

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DataRobot Blog

MARCH 15, 2022

In our previous healthcare blog , Sally Embrey explained how the integration of health and care services is gathering pace globally and how the creation of Integrated Care Systems (ICSs) by England’s National Health Service (NHS) is the latest example of services being organized around a local population.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

Philips is a health technology company focused on improving people’s lives through meaningful innovation. It partners with healthcare providers, startups, universities, and other companies to develop technology that helps doctors make more precise diagnoses and deliver more personalized treatment for millions of people worldwide.

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Smart Data Collective

NOVEMBER 3, 2021

Web developers are using AI technology to optimize the user experience and execute their designs more quickly. However, there are some mistakes that companies can make when trying to use AI to develop new websites. Website Development Companies Aren’t Worth the Money. If You Build It, They Will Come.

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Tableau

MARCH 18, 2021

This is especially true for people with serious medical conditions who are struggling to find relevant information about how the vaccine might fit within their unique health journeys. . People can use the global filter to narrow the survey responses by demographics, by health conditions, and by opinions and behaviors.

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AWS Machine Learning Blog

FEBRUARY 6, 2024

Traditional manual processing of adverse events is made challenging by the increasing amount of health data and costs. In this post, we show how to develop an ML-driven solution using Amazon SageMaker for detecting adverse events using the publicly available Adverse Drug Reaction Dataset on Hugging Face.

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Google Research AI blog

MAY 10, 2023

The pangenome combines 47 individual genome reference sequences and better represents the genomic diversity of global populations. But because humans carry a diverse set of sequences, sections that are present in an individual’s DNA but are not in the reference genome can’t be analyzed. Using graphs creates numerous challenges.

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AWS Machine Learning Blog

MAY 1, 2024

Their impressive generative abilities have led to widespread adoption across various sectors and use cases, including content generation, sentiment analysis, chatbot development, and virtual assistant technology. Health checks are currently enabled for the TRN1 instance family as well as P* and G* GPU-based instance types.

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Women in Big Data

SEPTEMBER 21, 2022

WiBD spoke with Sowmya Moni, WiBD India Chapter Director and member of the WiBD Global Executive Committee WiBD: Who is Sowmya Moni? I currently work for a digital applications and solutions company leading their marketing and business development activities. It has been an exciting journey. India ranks No.

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Heartbeat

FEBRUARY 7, 2024

The latter has developed a reputation for its ability to modify material, blur the line between fact and fiction, and stir up chaos in various social contexts. It’s critical to differentiate between how these technologies may be misused and how they may be welcomed in a new era of development and empowerment.

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DataRobot Blog

FEBRUARY 14, 2022

Model explainability is typically grouped into the categories of Global Explainability and Local Explainability. Global Explainability allows you to understand the behavior of the model as a whole across all the training rows. Global Explainability . DataRobot offers many tools for Global Explainability. Service Health.

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AWS Machine Learning Blog

NOVEMBER 8, 2023

Medical imaging AI researchers and developers need a scalable, enterprise framework to build, deploy, and integrate their AI applications. MONAI Deploy is one of the key modules within MONAI (Medical Open Network for Artificial Intelligence) developed by a consortium of academic and industry leaders, including NVIDIA. get("body").decode('UTF8')

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Heartbeat

DECEMBER 7, 2023

Data Fabric is an approach to working with data in globally consistent ways. Let’s keep in mind that the fabric of the universe in physics is essentially and globally consistent. Data fabric for us: The smallest unit of globally consistent data management in itself is its essence. The domain of the data. The math says it, too.

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Heartbeat

DECEMBER 28, 2023

This section unravels the intricate workings of Federated Learning, shedding light on its transformative potential and its pivotal role in shaping a privacy-centric future. Initially, a global AI model is crafted and dispatched to individual devices. Here, these updates converge, iteratively refining the global model.

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AWS Machine Learning Blog

AUGUST 30, 2023

Overview of solution In this section, we discuss the key components of our solution: choosing the strategy for the task, fine-tuning an LLM, and evaluating the results. In the following sections, we demonstrate fine-tuning an LLM available on SageMaker JumpStart for summarization of a domain-specific task via the SageMaker Python SDK.

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AWS Machine Learning Blog

JUNE 22, 2023

is the leading cross-platform global game company that provides gambling products and services. Data preprocessing and feature engineering In this section, we discuss our methods for data preparation and feature engineering. Model performance results In this section, we present the model performance evaluation metrics and results.

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AWS Machine Learning Blog

MAY 13, 2024

Radiology reports for the images were identified and extracted from the hospital’s electronic health records (EHR) system. The reports were de-identified using a rule-based approach to remove any protected health information. We have applied zero-shot technique to generate impressions from the findings section of a radiology report.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. After all, conversational AI provides an always-on portal for engagement across various domains and channels in a global 24-hour business world.

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AWS Machine Learning Blog

APRIL 6, 2023

In this post, we demonstrate how NXP, an industry leader in the semiconductor sector, collaborated with the AWS Machine Learning Solutions Lab (MLSL) to use ML techniques to optimize the allocation of the NXP research and development (R&D) budget to maximize their long-term return on investment (ROI).

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Heartbeat

NOVEMBER 27, 2023

These large-scale datasets allow deep learning models to learn rich global and local information representations, contributing to accurate and robust research. Researchers are actively developing model interpretability and explainability techniques in medical image analysis. This section discusses deep learning trends in this sector.

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AWS Machine Learning Blog

APRIL 11, 2023

You can quickly launch the familiar RStudio integrated development environment (IDE) and scale up and down the underlying compute resources without interrupting your work, making it easy to build machine learning (ML) and analytics solutions in R at scale. In the Grants section, choose Create grant. Choose Create grant.

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Tableau

MARCH 18, 2021

This is especially true for people with serious medical conditions who are struggling to find relevant information about how the vaccine might fit within their unique health journeys. . People can use the global filter to narrow the survey responses by demographics, by health conditions, and by opinions and behaviors.

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AWS Machine Learning Blog

FEBRUARY 2, 2023

More information regarding the NFL Player Health and Safety efforts is available on the NFL website. With multiple camera views available from each game, we have developed solutions to identify helmet impacts from each of these views and merge the helmet impact results. In the README section, choose Open Studio Lab.

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IBM Journey to AI blog

JANUARY 12, 2024

The global nature of cloud providers introduces a complex web of compliance challenges as data protection laws differ across regions. Jamworks for Business records in-person and online meetings, automatically highlights key sections and generates action items to ensure no important information is lost.

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AWS Machine Learning Blog

MAY 4, 2023

Amazon Forecast is an ML-based time series forecasting service that includes algorithms that are based on over 20 years of forecasting experience used by Amazon.com , bringing the same technology used at Amazon to developers as a fully managed service, removing the need to manage resources. For this example, our folder is aiml42.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

Each business unit has each own set of development (automated model training and building), preproduction (automatic testing), and production (model deployment and serving) accounts to productionize ML use cases, which retrieve data from a centralized or decentralized data lake or data mesh, respectively.

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AssemblyAI

APRIL 15, 2024

Accurate transcription of hearings and depositions can be the difference between justice served and miscarried, and precise transcription for patient interactions and treatment plans can make all the difference in a patient’s health outcomes.  Manual transcription is not only time-consuming but also prone to errors.

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AWS Machine Learning Blog

APRIL 19, 2023

We walk through how to train a custom classification model in the following sections. For our example, we trained a custom classification model with a few different document types that are typically found in a health insurance claim adjudication process: patient discharge summary, invoices, receipts, and so on. pdf,1 invoice,invoice-1.pdf,1

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AWS Machine Learning Blog

APRIL 18, 2023

Solution overview In the following sections, we provide a step-by-step demonstration for fine-tuning an LLM for text generation tasks via both the JumpStart Studio UI and Python SDK. In the next sections, we introduce the data and the LLM that will be fine-tuned. The improvement from fine-tuning is evident.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Last year, AWS launched its AWS Trainium accelerators, which optimize performance per cost for developing and building next generation DL models. In the following sections, we share our journey of working backward from this criteria, and our learnings to support Amazon-scale production workloads. We observed less than 0.1%

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AWS Machine Learning Blog

APRIL 18, 2023

Solution overview In the following sections, we provide a step-by-step demonstration for fine-tuning an LLM for text generation tasks via both the JumpStart Studio UI and Python SDK. In the next sections, we introduce the data and the LLM that will be fine-tuned. The improvement from fine-tuning is evident.

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Machine Learning (Theory)

JULY 21, 2020

Last week at ICML 2020, Mikael Henaff , Akshay Krishnamurthy , John Langford and I had a paper on a new reinforcement learning (RL) algorithm that solves three key problems in RL: (i) global exploration, (ii) decoding latent dynamics, and (iii) optimizing a given reward function. in health or financial domains).

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DataRobot Blog

FEBRUARY 2, 2023

The creation of foundation models is one of the key developments in the field of large language models that is creating a lot of excitement and interest amongst data scientists and machine learning engineers. What Are Large Language Models? These models are trained on massive amounts of text data using deep learning algorithms.

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IBM Journey to AI blog

JULY 6, 2023

Disclosures provided in this section are not about adherence to specific principles outlined in the NGRBC, but about higher-level policy and management processes, including statements by directors and boards regarding governance, leadership and oversight. Businesses should promote inclusive growth and equitable development.

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ODSC - Open Data Science

JULY 25, 2023

Part 3: Economic, Political, and Environmental Concerns, and New Developments Environmental, political, and economic concerns can easily derail or complicate decisions about how to invest in or use data center technology. ChatGPT found some of these controversies, and I expand on that later in the Discussion section.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

ISO 42001 , the Biden Administration Executive Order , and EU AI Act develop standards, tools, and tests to help ensure that AI systems are safe, secure, and trustworthy. Note that fine-tuners can become consumers of their own models when they develop real world applications. Gathering evaluation data is vital for model providers.

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PyImageSearch

MAY 22, 2023

Main Components of DETR Their paper primarily consists of two main components: A unique set-based global loss, which utilizes bipartite matching (an algorithm that facilitates set prediction) to encourage distinct set predictions. Looking for the source code to this post? The Key Players ?:

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