Flipboard

APRIL 5, 2025

In 2017, Ezekiel Emanuel, a well-known oncologist and health policy commentator, said radiologists would soon be out of work thanks to machine learning. The medical field is ahead of the curve on using technology as more devices aim to make spotting skin cancer easier. That hasnt happened, but

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Analytics Vidhya

APRIL 16, 2024

Introduction Welcome into the world of Transformers, the deep learning model that has transformed Natural Language Processing (NLP) since its debut in 2017. These linguistic marvels, armed with self-attention mechanisms, revolutionize how machines understand language, from translating texts to analyzing sentiments.

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databricks

OCTOBER 22, 2024

Founded in 2017, Logically is a leader in using AI to augment clients’ intelligence capability. By processing and analyzing vast amounts of data.

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Analytics Vidhya

AUGUST 17, 2022

A team at Google Brain developed Transformers in 2017, and they are now replacing RNN models like long short-term memory(LSTM) as the model of choice for NLP […]. This article was published as a part of the Data Science Blogathon. The post Test your Data Science Skills on Transformers library appeared first on Analytics Vidhya.

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Flipboard

AUGUST 21, 2023

In 2017, humanity got its first glimpse of an interstellar object (ISO), known as 1I/"Oumuamua, which buzzed our planet on its way out of the solar system. Speculation abound as to what this object could be because, based on the limited data collected, it was clear that it was like nothing astronomers had ever seen.

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Flipboard

DECEMBER 2, 2023

In 2017, Google researchers introduced a novel machine-learning program called a “transformer” for processing language. … It's exhilarating to think that, with the help of generative AI, anyone who can write can also write programs. It’s not so simple. This article was originally featured on MIT Press.

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Smart Data Collective

SEPTEMBER 30, 2021

But what if machine learning could be used beyond niche or individual contexts? Below, we’ll be exploring a few of the ways that machine learning can be used for improving our cities and making them smarter overall. There is growing evidence big data and machine learning can help save the environment.

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Analytics Vidhya

OCTOBER 1, 2022

Introduction In 2017, The Economist declared that “the world’s most valuable resource is no longer oil, but data.” This article was published as a part of the Data Science Blogathon. Companies like Google, Amazon, and Microsoft gather large bytes of data, harvest it, and create complex tracking algorithms.

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Smart Data Collective

FEBRUARY 24, 2021

However, this ever-evolving machine learning technology might surprise you in this regard. The truth is that machine learning is now capable of writing amazing content. Machine Learning to Write your College Essays. Machine Learning to Write your College Essays.

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Smart Data Collective

SEPTEMBER 17, 2019

Machine learning is creating pivotal change in the energy industry. Towards Data Science wrote about the changes that machine learning is bringing to this field. You need to consider the benefits of using an electrical system that relies on machine learning technology. When was the last time it was updated?

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AWS Machine Learning Blog

SEPTEMBER 29, 2023

In this post, we illustrate how to use a segmentation machine learning (ML) model to identify crop and non-crop regions in an image. Our results reveal that the classification from the KNN model is more accurately representative of the state of the current crop field in 2017 than the ground truth classification data from 2015.

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Dataconomy

MARCH 17, 2025

By harnessing the power of machine learning (ML) and natural language processing (NLP), businesses can streamline their data analysis processes and make more informed decisions. The role of machine learning and natural language processing Machine learning plays a pivotal role in identifying patterns within large datasets.

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Flipboard

JANUARY 16, 2025

It started among engineers inspired by a 2017 research paper. The current frenzy around artificial intelligence has spread like a shockwave.

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DagsHub

DECEMBER 11, 2023

The following points illustrates some of the main reasons why data versioning is crucial to the success of any data science and machine learning project: Storage space One of the reasons of versioning data is to be able to keep track of multiple versions of the same data which obviously need to be stored as well.

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Dataconomy

MAY 13, 2024

and is currently developing a new center in Waukee, Iowa, initially announced in 2017. In December, Apple’s machine learning research team unveiled MLX, a framework designed to optimize AI model performance on Apple silicon. Apple operates several server facilities across the U.S.

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Flipboard

DECEMBER 13, 2024

OpenAI, maker of ChatGPT, released emails and text messages from its co-founder Elon Musk on Friday that showed the billionaire in 2017 demanding majority The ChatGPT developers latest response to a lawsuit from the billionaire shows his demands for control of the company he later split from.

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Flipboard

NOVEMBER 14, 2023

Opinion | “Whoever leads in AI will rule the world,” President Vladimir Putin declared at an address commencing the 2017 Russian school year.

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Hacker News

MARCH 25, 2022

First described in a 2017 paper from Google, transformers are among the newest and one of the most powerful classes of models invented to date. They’re driving a wave of advances in machine learning some have dubbed transformer AI. Now we see self-attention is a powerful, flexible tool for learning,” he added. “Now

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Iguazio

DECEMBER 5, 2023

To cater to a wide variety of needs, these free datasets for machine learning cover a diverse set of categories and use cases: Sentiment analysis Language and docs For ethical AI use Industries Images and videos When training and developing your models, don’t neglect the final phase - a deployed LLM (or other type of model).

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Flipboard

NOVEMBER 20, 2023

In 2017, Google … It's exhilarating to think that, with the help of generative AI, anyone who can write can also write programs. It’s not so simple.

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Iguazio

SEPTEMBER 20, 2023

million articles from 20,000 news sources across a seven day period in 2017 and 2018. The post 23 Best Free NLP Datasets for Machine Learning appeared first on Iguazio. Legal Case Reports A dataset with 4,000 legal cases that can be used for automatic summarization and citation analysis. Get the dataset here.

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Flipboard

SEPTEMBER 3, 2023

If modern artificial intelligence has a founding document, a sacred text, it is Google’s 2017 research paper “Attention Is All You Need.” This paper introduced a new deep learning architecture known as the transformer, which has gone on to revolutionize the field of AI over the past half-decade.

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Flipboard

DECEMBER 5, 2023

On the day of the 2017 solar eclipse, Debbie Urbanski was hiking in the Adirondacks, as she often did, when, … In Debbie Urbanski's After World, an artificial intelligence narrates the end of humanity. The author tells Esquire how ChatGPT helped her write the novel—and how it changed her views on AI.

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Flipboard

SEPTEMBER 20, 2023

Former Google AI researcher Jakob Uszkoreit was one of the eight co-authors of the seminal 2017 paper “Attention is All You Need,” which introduced the Transformers architecture that went on to underpin ChatGPT and most other large language models (LLMs). The fact that he is the only one of the …

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ML @ CMU

SEPTEMBER 13, 2024

This is common practice in the arts—consider that a copycat comedian telling someone else’s jokes is stealing, but an up-and-comer learning from tapes of the greats is doing nothing wrong. 2017 ] may look like tests for memorization and they are even intimately related to auditing machine unlearning [ Carlini et al.,

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Flipboard

DECEMBER 29, 2024

To improve patient safety, we developed a machine learning-based tool that prioritizes patients at risk of medication errors upon admission to the hospital to ensure that they undergo medication reconciliation by clinical pharmacists.

Machine Learning 65

Machine Learning Machine Learning Computer Science Computer Science 65

Data Science Dojo

DECEMBER 8, 2023

Counting Shots, Making Strides: Zero, One and Few-Shot Learning Unleashed In the dynamic field of artificial intelligence, traditional machine learning, reliant on extensive labeled datasets, has given way to transformative learning paradigms. Welcome to the frontier of machine learning innovation!

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Machine Learning Research at Apple

JUNE 19, 2023

Optimal transport (OT) theory has been been used in machine learning to study and characterize maps that can push-forward efficiently a probability measure onto another. 2017, and fit with SGD using… To exploit that result, , Makkuva et al. 2020); Korotin et al.

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Machine Learning Machine Learning 100

Flipboard

FEBRUARY 3, 2025

IntroductionI have been working as a Data Scientist since 2017, and during that time I have been promoted from a junior/mid-level to a senior, and

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Data Scientist Analytics Analytics Computer Science 141

Flipboard

JANUARY 17, 2025

It started among engineers inspired by a 2017 research paper. The current frenzy around artificial intelligence has spread like a shockwave. Next came

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Flipboard

APRIL 25, 2023

I first heard the term “artificial imagination” in 2017. Natalie Nixon says there are four ways to think about generative AI as a co-creator. I was reading a Price Waterhouse Coopers magazine interview with Shelly Palmer, a musician, technologist, and consultant. In the interview, he described …

AI 158

AI AI Computer Science Computer Science 158

AWS Machine Learning Blog

APRIL 7, 2025

This approach allows for greater flexibility and integration with existing AI and machine learning (AI/ML) workflows and pipelines. billion in 2017 to a projected $37.68 billion in 2017 to a projected $37.68 billion in 2017 to a projected $37.68 billion to a projected $574.78 billion to a projected $574.78

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Dataversity

MARCH 19, 2021

That’s ten times the amount of data produced in 2017.” The post Messy Data Shouldn’t Stop Machine Learning in Its Tracks appeared first on DATAVERSITY. In fact, data storage company Seagate predicts it will pass a yearly rate of “163 zettabytes (ZB) by 2025. Moore’s Law – the principle that […].

Machine Learning 52

Machine Learning Machine Learning Data Governance Data Quality 52

Data Science 101

APRIL 26, 2019

Gopher Data – Gophers doing data analysis, no schedule events, last blog post was 2017 Gopher Notes – Golang in Jupyter Notebooks Lgo – Interactive programming with Jupyter for Golang Gota – Data frames for Go, “The API is still in flux so use at your own risk.” Machine Learning with Go?

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Data Science Machine Learning Machine Learning Python 111

Flipboard

SEPTEMBER 25, 2023

Words from a lecture Altman gave in 2017 before the ChatGPT craze took hold in 2023 is making the rounds on social media. Sam Altman, the chief …

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Smart Data Collective

APRIL 5, 2022

They are using tools like Amazon SageMaker to take advantage of more powerful machine learning capabilities. Amazon SageMaker is a hardware accelerator platform that uses cloud-based machine learning technology. IBM Watson Studio is a very popular solution for handling machine learning and data science tasks.

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Smart Data Collective

FEBRUARY 4, 2020

The market for machine learning is projected to reach $20.8 billion back in 2017. The rapid growth in the machine learning market is largely attributed to the growing list of applications for it. Machine learning is being leveraged in every industry from healthcare to criminal justice.

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