Becoming Human

MARCH 16, 2023

Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021. All pharma giants, including Bayer, AstraZeneca, Takeda, Sanofi, Merck, and Pfizer, have stepped up spending in the hope to create new-age AI solutions that will bring cost efficiency, speed, and precision to the process.

AI 139

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How to Learn Machine Learning

JULY 20, 2024

It falls under machine learning and uses deep learning algorithms and programs to create music, art, and other creative content based on the user’s input. However, significant strides were made in 2014 when Lan Goodfellow and his team introduced Generative adversarial networks (GANs).

AI 64

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AWS Machine Learning Blog

JANUARY 25, 2023

Apart from supporting explanations for tabular data, Clarify also supports explainability for both computer vision (CV) and natural language processing (NLP) using the same SHAP algorithm. It is constructed by selecting 14 non-overlapping classes from DBpedia 2014.

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Algorithm Natural Language Processing Machine Learning Machine Learning 80

Heartbeat

AUGUST 21, 2023

AlexNet significantly improved performance over previous approaches and helped popularize deep learning and CNNs. GoogLeNet: is a highly optimized CNN architecture developed by researchers at Google in 2014. VGG-16: does the Visual Geometry Group develop an intense CNN architecture at the University of Oxford?

Natural Language Processing 52

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Mlearning.ai

MARCH 9, 2023

Recent studies have demonstrated that deep learning-based image segmentation algorithms are vulnerable to adversarial attacks, where carefully crafted perturbations to the input image can cause significant misclassifications (Xie et al., 2018; Sitawarin et al., 2018; Papernot et al., 2013; Goodfellow et al., For instance, Xu et al.

Deep Learning 52

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ML Review

JUNE 4, 2018

Recent Intersections Between Computer Vision and Natural Language Processing (Part Two) This is the second instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP).

Deep Learning 52

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AWS Machine Learning Blog

NOVEMBER 15, 2023

As an example downstream application, the fine-tuned model can be used in pre-labeling workflows such as the one described in Auto-labeling module for deep learning-based Advanced Driver Assistance Systems on AWS. His core interests include deep learning and serverless technologies.

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Machine Learning Machine Learning ML ML 107

Mlearning.ai

FEBRUARY 15, 2023

Introduction In natural language processing, text categorization tasks are common (NLP). Uysal and Gunal, 2014). Deep learning models with multilayer processing architecture are now outperforming shallow or standard classification models in terms of performance [5]. Ensemble deep learning: A review.

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ML Review

FEBRUARY 26, 2018

Tasks such as “I’d like to book a one-way flight from New York to Paris for tomorrow” can be solved by the intention commitment + slot filing matching or deep reinforcement learning (DRL) model. Chitchatting, such as “I’m in a bad mood”, pulls up a method that marries the retrieval model with deep learning (DL).

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

DagsHub

OCTOBER 23, 2024

It allows users to extract data from documents, and then you can configure workflows to pass the data downstream to LLMs for further processing. They can generate human-like text, summarize documents, and answer questions, making them essential for natural language processing and text analytics tasks.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

ODSC - Open Data Science

JANUARY 29, 2024

Knowledge in these areas enables prompt engineers to understand the mechanics of language models and how to apply them effectively. GANs, introduced in 2014 paved the way for GenAI with models like Pix2pix and DiscoGAN. NLP skills have long been essential for dealing with textual data.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

ML Review

MAY 3, 2018

Recent Intersections Between Computer Vision and Natural Language Processing (Part One) This is the first instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). Thanks for reading!

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Machine Learning 52

DrivenData Labs

DECEMBER 11, 2024

Looking back ¶ When we started DrivenData in 2014, the application of data science for social good was in its infancy. Deep learning - It is hard to overstate how deep learning has transformed data science. There was rapidly growing demand for data science skills at companies like Netflix and Amazon.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Large-scale deep learning has recently produced revolutionary advances in a vast array of fields. is a startup dedicated to the mission of democratizing artificial intelligence technologies through algorithmic and software innovations that fundamentally change the economics of deep learning. Founded in 2021, ThirdAI Corp.

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ODSC - Open Data Science

FEBRUARY 29, 2024

The Stanford AI Lab Founded in 1963, the Stanford AI Lab has made significant contributions to various domains, including natural language processing, computer vision, and robotics. Their research encompasses a broad spectrum of AI disciplines, including AI theory, reinforcement learning, and robotics. But that’s not all.

Artificial Intelligence 52

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Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. He leads corporate strategy for machine learning, natural language processing, information retrieval, and alternative data.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. He leads corporate strategy for machine learning, natural language processing, information retrieval, and alternative data.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Pickl AI

JANUARY 26, 2025

Summary: Deep Learning models revolutionise data processing, solving complex image recognition, NLP, and analytics tasks. Introduction Deep Learning models transform how we approach complex problems, offering powerful tools to analyse and interpret vast amounts of data. With a projected market growth from USD 6.4

Deep Learning 52

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Flipboard

JANUARY 15, 2025

Previously, Patrick was a data scientist specializing in natural language processing and AI-driven insights at Hyper Anna (acquired by Alteryx) and holds a Bachelors degree from the University of Sydney. He is now leading the development of GraphStorm, an open source graph machine learning framework for enterprise use cases.

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