Analytics Vidhya

JUNE 19, 2019

Overview Check out Google AI’s best paper from ICML 2019 There is a heavy focus on unsupervised learning in Google AI’s paper We have. The post Simplifying Google AI’s Best Paper at ICML 2019 on Unsupervised Learning appeared first on Analytics Vidhya.

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KDnuggets

DECEMBER 9, 2019

As we say goodbye to one year and look forward to another, KDnuggets has once again solicited opinions from numerous research & technology experts as to the most important developments of 2019 and their 2020 key trend predictions.

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KDnuggets

AUGUST 1, 2019

Challenges like multiple frameworks, underutilized infrastructure and lack of standard implementations can even cause AI projects to fail. Getting trained neural networks to be deployed in applications and services can pose challenges for infrastructure managers. This blog explores how to navigate these challenges.

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Analytics Vidhya

JUNE 26, 2019

DataHack Summit 2019 Bringing Together Futurists to Achieve Super Intelligence DataHack Summit 2018 was a grand success with more than 1,000 attendees from various. The post Announcing DataHack Summit 2019 – The Biggest Artificial Intelligence and Machine Learning Conference Yet appeared first on Analytics Vidhya.

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Towards AI

DECEMBER 21, 2024

Last Updated on December 21, 2024 by Editorial Team Author(s): Vikram Bhat Originally published on Towards AI. Back in 2019, building recommendation systems required a lot of manual effort, fragmented tools, and custom code. In 2019, building a recommendation system involved a lot of manual coding and iteration.

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Hacker News

JUNE 23, 2023

Researchers at Yamagata University in Japan have harnessed AI to uncover four previously unseen geoglyphs — images on the ground, some as wide as 1,200 feet, made using the land’s elements — in Nazca, a seven-hour drive south of Lima, Peru. The team’s deep learning model training was executed on an IBM Power Systems server with an NVIDIA GPU.

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KDnuggets

DECEMBER 11, 2019

AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments and Key Trends; Down with technical debt! Clean #Python for #DataScientists; Calculate Similarity?-?the the most relevant Metrics in a Nutshell.

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KDnuggets

JANUARY 15, 2020

This year’s NEURIPS-2019 Vancouver conference recently concluded and featured a dozen papers on disentanglement in deep learning. What is this idea and why is it so interesting in machine learning?

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KDnuggets

AUGUST 26, 2019

Over the past few years, artificial intelligence continues to be one of the hottest topics. And in order to work effectively with it, you need to understand its constituent parts.

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KDnuggets

NOVEMBER 19, 2019

Find out how data scientists and AI practitioners can use a machine learning experimentation platform like Comet.ml to apply machine learning and deep learning to methods in the domain of audio analysis.

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ML @ CMU

NOVEMBER 7, 2024

For the Risk Modeling component, we designed a novel interpretable deep learning tabular model extending TabNet. Formally, we use the risk scores (r_i) estimated by our trained deep learning model to compute proxies for the benefit of demining candidate grid cell (i) with centroid ((x_i,y_i)).

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Data Science 101

SEPTEMBER 24, 2019

Is the list missing a project released in 2019? A number of new impactful open source projects have been released lately. Open Source Data Science Projects. If so, please leave a comment.

Data Science 104

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KDnuggets

DECEMBER 16, 2019

Also: Plotnine: Python Alternative to ggplot2; AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020; Moving Predictive Maintenance from Theory to Practice; 10 Free Top Notch Machine Learning Courses; Math for Programmers!

Machine Learning 133

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KDnuggets

DECEMBER 11, 2019

We asked top experts: What were the main developments in AI, Data Science, Deep Learning, and Machine Learning Research in 2019, and what key trends do you expect in 2020?

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AWS Machine Learning Blog

NOVEMBER 26, 2024

This post is co-written with Ken Kao and Hasan Ali Demirci from Rad AI. Rad AI has reshaped radiology reporting, developing solutions that streamline the most tedious and repetitive tasks, and saving radiologists’ time. In this post, we share how Rad AI reduced real-time inference latency by 50% using Amazon SageMaker.

ML 118

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Dataconomy

JUNE 21, 2023

According to a Harvard professor, AI will be used by aliens to speak with us instead of humans as their first point of contact. The Harvard professor AI predictions show the dangers of AI. That implies that it’s possible for their AI to communicate with other AI and ignore people, which is a little unsettling to consider.

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KDnuggets

OCTOBER 18, 2019

In this second part we want to outline our own experience building an AI application and reflect on why we chose not to utilise deep learning as the core technology used.

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Data Science 101

APRIL 29, 2019

Here is the latest data science news for the week of April 29, 2019. From Data Science 101. The Go Programming Language for Data Science Quick Video Tutorial for Find Updates in Azure Two-Minute Papers, One Pixel attack on NN. General Data Science.

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KDnuggets

OCTOBER 16, 2019

This week on KDnuggets: Beyond Word Embedding: Key Ideas in Document Embedding; The problem with metrics is a big problem for AI; Activation maps for deep learning models in a few lines of code; There is No Such Thing as a Free Lunch; 8 Paths to Getting a Machine Learning Job Interview; and much, much more.

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Dataconomy

DECEMBER 4, 2023

OpenAI, the leading non-profit AI research company, has signed a letter of intent with Rain AI , a startup developing neuromorphic processors (NPUs) specifically tailored for AI applications. In recent years, the need for specialized hardware has become increasingly evident for AI technologies.

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KDnuggets

DECEMBER 16, 2019

It is an annual tradition for Xavier Amatriain to write a year-end retrospective of advances in AI/ML, and this year is no different. Gain an understanding of the important developments of the past year, as well as insights into what expect in 2020.

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KDnuggets

NOVEMBER 6, 2019

Learn about statistical fallacies Data Scientists should avoid; New and quite amazing Deep Learning capabilities FB has been quietly open-sourcing; Top Machine Learning tools for Developers; How to build a Neural Network from scratch and more.

Data Scientist 159

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Chatbots Life

MAY 16, 2024

IF THERE IS A SIN, THIS IS THE ONLY SIN; TO SAY THAT YOU ARE WEAK, OR OTHERS ARE WEAK” - By Swami Vivekanand Is Deep Learning now overtaking the Machine Learning algorithm? Let us first know what is Machine Learning ? Machine Learning was coined by “ Arthur Samuel ” in the year 1959. Famous Deep Learning Networks.

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Gil Press for Forbes

JANUARY 29, 2020

Turing Award for Deep Learning, NLP becomes the New New Thing, and other highlights of the search for intelligence in 2019

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KDnuggets

NOVEMBER 28, 2019

Open source is becoming the standard for sharing and improving technology. Some of the largest organizations in the world namely: Google, Facebook and Uber are open sourcing their own technologies that they use in their workflow to the public.

Data Science 400

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NYU Center for Data Science

APRIL 23, 2025

Now, a breakthrough AI technique developed by CDS Associate Professor of Mathematics and Data Science Carlos Fernandez-Granda and his collaborators has shattered this barrier, allowing unprecedented observations of atoms inmotion. If you shoot too many electrons at the material to get a clear image, you destroy what youre trying to study.

AI 53

AI AI Deep Learning Deep Learning 53

KDnuggets

NOVEMBER 11, 2019

Also: Understanding Boxplots; Probability Learning: Maximum Likelihood; Designing Your Neural Networks; Facebook Has Been Quietly Open Sourcing Some Amazing Deep Learning Capabilities for PyTorch; 5 Statistical Traps Data Scientists Should Avoid.

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AssemblyAI

MARCH 21, 2023

While AI systems like ChatGPT or Diffusion models for Generative AI have been in the limelight in the past months, Graph Neural Networks (GNN) have been rapidly advancing. Traditional AI methods have been designed to extract information from objects encoded by somewhat “rigid” structures.

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Heartbeat

NOVEMBER 27, 2023

Deep learning automates and improves medical picture analysis. Convolutional neural networks (CNNs) can learn complicated patterns and features from enormous datasets, emulating the human visual system. Convolutional Neural Networks (CNNs) Deep learning in medical image analysis relies on CNNs.

Deep Learning 59

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Dataconomy

OCTOBER 3, 2023

Deepfake AI tools, in their mesmerizing prowess, are redefining our virtual interactions. With this in mind, we’ve meticulously curated a list of deepfake AI tools that lean more towards educational and light-hearted applications. Best deepfake AI tools The tools mentioned in this article are not ranked from best to worst.

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KDnuggets

OCTOBER 14, 2019

Also: Activation maps for deep learning models in a few lines of code; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization; OpenAI Tried to Train AI Agents to Play Hide-And-Seek but Instead They Were Shocked by What They Learned; 10 Great Python Resources for Aspiring Data Scientists.

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KDnuggets

NOVEMBER 18, 2019

Also: The Complete Data Science LinkedIn Profile Guide; How Data Analytics Can Assist in Fraud Detection; Research Guide for Depth Estimation with Deep Learning; 10 Free Must-read Books on AI; Beginners Guide to the Three Types of Machine Learning.

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PyImageSearch

JANUARY 2, 2023

Further, significant health technology, digital technology, and artificial intelligence (AI) investments are needed to bridge the health service gap in emerging markets. COVID-19 has also accelerated the pace of transition to digital health applications, including those that integrate AI.

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AWS Machine Learning Blog

APRIL 7, 2025

These models are designed for industry-leading performance in image and text understanding with support for 12 languages, enabling the creation of AI applications that bridge language barriers. With SageMaker AI, you can streamline the entire model deployment process.

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Heartbeat

AUGUST 1, 2023

A World of Computer Vision Outside of Deep Learning Photo by Museums Victoria on Unsplash IBM defines computer vision as “a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs [1].”

Deep Learning 52

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Flipboard

APRIL 23, 2025

Retrieval Augmented Generation (RAG) applications have become increasingly popular due to their ability to enhance generative AI tasks with contextually relevant information. See the OWASP Top 10 for Large Language Model Applications to learn more about the unique security risks associated with generative AI applications.

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Flipboard

APRIL 13, 2023

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses.

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