Dataconomy

JUNE 21, 2023

In 2019, Israeli astronomer Loeb and his co-author Amir Siraj came to the conclusion that in 2014, Earth was struck by a body coming from outside our solar system. Some of the fundamental ideas and techniques that underlie deep learning, such as capsule networks, are credited to him.

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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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Dataconomy

DECEMBER 4, 2023

At the heart of this partnership lies a letter of intent signed in 2019, outlining OpenAI’s intention to purchase $51 million worth of Rain AI’s NPUs upon their commercial availability. Artificial intelligence companies have a huge stake in our future and every day we are faced with a new invention. How do NPUs work?

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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].”

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NYU Center for Data Science

APRIL 23, 2025

The breakthrough came through a novel unsupervised deep learning methodology developed by Fernandez-Granda, Peter Crozier, and collaborators to train deep neural networks and also evaluate them using only noisy data. If you shoot too many electrons at the material to get a clear image, you destroy what youre trying to study.

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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. This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare.

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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. and PyTorch 2.0

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Pickl AI

APRIL 8, 2024

13 Biggest AI Failures: A Look at the Pitfalls of Artificial Intelligence Artificial intelligence (AI) has become a ubiquitous term, woven into the fabric of our daily lives. Lack of Explainability Many AI systems, particularly deep learning models, known for their “black box” nature.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others. Machine & Deep Learning Machine learning is the fundamental data science skillset, and deep learning is the foundation for NLP.

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Towards AI

FEBRUARY 3, 2024

The LRP procedure [2] Conclusion Generally, the field of explainable artificial intelligence (XAI) plays a crucial role in ensuring that artificial intelligence systems are interpretable, transparent, and reliable. eds) Explainable AI: Interpreting, Explaining and Visualizing Deep Learning. Lapuschkin, S.,

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Towards AI

APRIL 19, 2024

Generative Artificial Intelligence is guiding the forward for businesses worldwide. Generative AI, being an excellent successor of Artificial Intelligence, has made its presence felt with ever-amazing explorations. Get a closer view of the top generative AI companies making waves in 2024.

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Flipboard

JULY 10, 2023

Figure 5: Architecture of Convolutional Autoencoder for Image Segmentation (source: Bandyopadhyay, “Autoencoders in Deep Learning: Tutorial & Use Cases [2023],” V7Labs , 2023 ). Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? That’s not the case.

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ODSC - Open Data Science

MARCH 10, 2025

Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. By 2017, deep learning began to make waves, driven by breakthroughs in neural networks and the release of frameworks like TensorFlow.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

Hasan Ali Demirci is a Staff Engineer at Rad AI, specializing in software and infrastructure for machine learning. Since joining as an early engineer hire in 2019, he has steadily worked on the design and architecture of Rad AI’s online inference systems. Ken holds M.S. degrees in Electrical Engineering from Stanford University.

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Flipboard

APRIL 23, 2025

Dhawal Patel is a Principal Machine Learning Architect at AWS. He has worked with organizations ranging from large enterprises to mid-sized startups on problems related to distributed computing and artificial intelligence. He focuses on deep learning, including NLP and computer vision domains. Brandon Rooks Sr.

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AWS Machine Learning Blog

APRIL 7, 2025

yml file from the AWS Deep Learning Containers GitHub repository, illustrating how the model synthesizes information across an entire repository. Codebase analysis with Llama 4 Using Llama 4 Scouts industry-leading context window, this section showcases its ability to deeply analyze expansive codebases. billion to a projected $574.78

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Hacker News

MARCH 25, 2022

“Transformers made self-supervised learning possible, and AI jumped to warp speed,” said NVIDIA founder and CEO Jensen Huang in his keynote address this week at GTC. Transformers are in many cases replacing convolutional and recurrent neural networks (CNNs and RNNs), the most popular types of deep learning models just five years ago.

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Towards AI

FEBRUARY 10, 2023

The term “artificial intelligence” may evoke the ideas of algorithms and data, but it is powered by the rare earth’s minerals and resources that make up the computing components [1]. The cloud, which consists of vast machines, is arguably the backbone of the AI industry. By comparison, Moore’s Law had a 2-year doubling period.

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NYU Center for Data Science

OCTOBER 10, 2023

“A lot happens to these interpretability artifacts during training,” said Chen, who believes that by only focusing on the end result, we might be missing out on understanding the entire journey of the model’s learning. The paper is a case study of syntax acquisition in BERT (Bidirectional Encoder Representations from Transformers).

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AWS Machine Learning Blog

OCTOBER 5, 2023

He focuses on developing scalable machine learning algorithms. His research interests are in the area of natural language processing, explainable deep learning on tabular data, and robust analysis of non-parametric space-time clustering. an AI start-up, and worked as the CEO and Chief Scientist in 2019–2021.

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Smart Data Collective

MARCH 26, 2021

Due to its constant learning and evolution, the algorithms are able to adapt based on success and failure. Machine learning mimics the human brain. It entails deep learning from its neural networks, natural language processing (NLP), and constant changes based on incoming information.

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AWS Machine Learning Blog

DECEMBER 12, 2023

In this post, we’ll summarize training procedure of GPT NeoX on AWS Trainium , a purpose-built machine learning (ML) accelerator optimized for deep learning training. In this post, we showed cost-efficient training of LLMs on AWS deep learning hardware. Ben Snyder is an applied scientist with AWS Deep Learning.

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Dataversity

OCTOBER 26, 2021

Click to learn more about author Luca Scagliarini. Artificial intelligence (AI) is on an upward growth trend and there is no sign it will level off any time soon. billion in 2019 to $266.92 Recent research by Fortune Business Insights suggests the market will jump nearly tenfold from $27.23 billion by 2027.

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Dataconomy

OCTOBER 3, 2023

Harnessing deep learning, this platform painstakingly processes facial data intricacies. When the canvas calls, Deep Art answers. Quickly rising to acclaim in 2019, this Chinese-origin free deepfake app, available for both iOS and Android, gifts users the cinematic experience of a lifetime.

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Dataconomy

MAY 8, 2024

Visa has recently enhanced this tool with the addition of the VAAI Score, a feature designed to more accurately assess the probability of enumeration attacks by assigning a real-time risk score to each transaction.

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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. Artificial Intelligence traces its origins back to the 1950s when leaders like John McCarthy and Alan Turing were involved.

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AWS Machine Learning Blog

APRIL 6, 2023

For example, in the 2019 WAPE value, we trained our model using sales data between 2011–2018 and predicted sales values for the next 12 months (2019 sale). We evaluated the WAPE for all BLs in the auto end market for 2019, 2020, and 2021. In 2019 and 2020, our model achieved less than 0.1

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Applied Data Science

DECEMBER 23, 2022

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. It is not surprising that it has become a major application area for deep learning.

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How to Learn Machine Learning

JULY 20, 2024

OCR has been around for years, but its superb capabilities have improved recently, thanks to machine learning & artificial intelligence. The integration of machine learning & artificial intelligence is improving OCR’s capabilities. That’s Optical Character Recognition – OCR at work. billion by 2025.

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Towards AI

APRIL 22, 2024

In fact, a 2019 report published by NIST found a 10 to 100 times differential in the rates of false positive recognition of Asian and African American faces versus Caucasians5. This leads to a high inaccuracy rate when identifying people of colour.

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AWS Machine Learning Blog

APRIL 29, 2024

For AWS and Outerbounds customers, the goal is to build a differentiated machine learning and artificial intelligence (ML/AI) system and reliably improve it over time. Based in Canada, he helps customers deploy and optimize deep learning training and inference workloads using AWS Inferentia and AWS Trainium.

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Dataconomy

OCTOBER 22, 2024

In 2019, 65% of graduating North American PhDs in AI opted for industry roles , a significant jump from 44.4% These datasets provide the necessary scale for training advanced machine learning models, which would be difficult for most academic labs to collect independently.

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DrivenData Labs

DECEMBER 10, 2023

McLarney, Digital Transformation Lead for Artificial Intelligence and Machine Learning, NASA Background ¶ Information overload is real. degree in AI and ML specialization from Gujarat University, earned in 2019. Itay possesses experience in machine learning, deep learning, and full stack development.

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Smart Data Collective

FEBRUARY 24, 2021

Machine Learning to Write your College Essays. Earlier in 2019, the AI development company OpenAI developed a text-writing algorithm named GPT-2 that could use machine learning to generate content. eBay then decided to employ Phrasee – an AI-powered copywriting tool that uses natural language generation and deep learning.

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PyImageSearch

FEBRUARY 3, 2025

This lesson is the 1st of a 2-part series on Gradio for building interactive applications: Introduction to Gradio for Building Interactive Applications (this tutorial) Lesson 2 To learn how to get started with Gradio, explore its latest features, and work with its core components and API, just keep reading. Gradio was founded by Abid et al.

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AWS Machine Learning Blog

JUNE 13, 2023

The first generation of AWS Inferentia, a purpose-built accelerator launched in 2019, is optimized to accelerate deep learning inference. Conclusion AWS Inferentia2 is a powerful technology designed for improving performance and reducing costs of deep learning model inference.

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DataSeries

JANUARY 18, 2023

These are powered by a range of technologies such as machine learning, deep learning, statistical methods and others. We increasingly refer to these technologies collectively as Artificial Intelligence (AI). In an increasing number of cases, AI now allows us to surpass the limitations of human intelligence.

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