Unite.AI

NOVEMBER 6, 2023

Neural Network: Moving from Machine Learning to Deep Learning & Beyond Neural network (NN) models are far more complicated than traditional Machine Learning models. Advances in neural network techniques have formed the basis for transitioning from machine learning to deep learning.

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AI Weekly

JULY 13, 2023

plos.org Screening for Chagas disease from the electrocardiogram using a deep neural network Worldwide, it is estimated that over 6 million people are infected with Chagas disease (ChD). We explore the use of deep neural networks to detect ChD from electrocardiograms (ECGs) to aid in the early detection of the disease.

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AI Weekly

DECEMBER 14, 2023

theconversation.com Scientists Preparing to Turn on Computer Intended to Simulate Entire Human Brain Researchers at Western Sydney University in Australia have teamed up with tech giants Intel and Dell to build a massive supercomputer intended to simulate neural networks at the scale of the human brain.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. The chart below shows 20 in-demand skills that encompass both NLP fundamentals and broader data science expertise.

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ODSC - Open Data Science

MARCH 28, 2023

Designed to help you identify the sessions that best fit your interests and learning goals, the ODSC Europe 2023 tracks highlight the data science and AI fields that are helping to build the future. Register today to save 60% on your ODSC Europe 2023 pass, either in-person or virtually. But you’d better act fast, this deal ends soon!

Data Science 92

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Towards AI

JUNE 27, 2023

Last Updated on June 27, 2023 by Editorial Team Source: Unsplash This piece dives into the top machine learning developer tools being used by developers — start building! For instance, today’s machine learning tools are pushing the boundaries of natural language processing, allowing AI to comprehend complex patterns and languages.

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Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. The encoder processes input data, condensing essential features into a “Context Vector.”

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Towards AI

MAY 11, 2023

Last Updated on May 18, 2023 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Table of Contents: Mastering Large Language Models (LLMs) is a compelling endeavor in the realm of Natural Language Processing (NLP).

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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. And why do Graph Neural Networks matter in 2023? What are the actual advantages of Graph Machine Learning?

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Natural Language Processing @ Sapienza

MARCH 20, 2023

word2vec (CBOW and skipgram), PyTorch notebook on word2vec, recurrent neural networks, optimization for RNNs, Long-Short Term Memory (LSMT) networks.

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Marktechpost

SEPTEMBER 8, 2023

Users can upload their data to the AI tool and then choose the variable they wish to predict to have Akkio construct a neural network specifically for that variable. Natural language processing (NLP), predictive analytics (PA), and text mining are only some of the AI and ML methods used by Watson Analytics.

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Unite.AI

SEPTEMBER 21, 2023

Organizations and practitioners build AI models that are specialized algorithms to perform real-world tasks such as image classification, object detection, and natural language processing. Some prominent AI techniques include neural networks, convolutional neural networks, transformers, and diffusion models.

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Marktechpost

JULY 7, 2024

In order to understand and react to search inputs more accurately and individually, these sophisticated search tools make use of machine learning, natural language processing, and deep learning. It was introduced in February 2023 and uses deep neural networks to validate responses from various sources.

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Unite.AI

FEBRUARY 19, 2024

RPA Bots Becoming Super Bots: Driving Intelligent Decision Making RPA bots that originally operated on rule-based programs through learning patterns and emulating human behavior for performing repetitive and menial tasks have become super bots, with Conversational AI and Neural Network algorithms coming into force.

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Towards AI

NOVEMBER 19, 2023

Last Updated on November 20, 2023 by Editorial Team Author(s): Mainak Mitra Originally published on Towards AI. Photo by Pietro Jeng on Unsplash Deep learning is a type of machine learning that utilizes layered neural networks to help computers learn from large amounts of data in an automated way, much like humans do.

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IBM Journey to AI blog

AUGUST 13, 2024

Where it all started During the second half of the 20 th century, IBM researchers used popular games such as checkers and backgammon to train some of the earliest neural networks, developing technologies that would become the basis for 21 st -century AI.

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Towards AI

APRIL 8, 2023

Last Updated on April 11, 2023 by Editorial Team Author(s): Dr. Mandar Karhade, MD. Artificial Intelligence has rapidly become one of the most important fields of science, with applications ranging from image recognition and natural language processing to self-driving cars and robotics. Originally published on Towards AI.

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Topbots

APRIL 11, 2023

In the rapidly evolving field of artificial intelligence, natural language processing has become a focal point for researchers and developers alike. The Most Important Large Language Models (LLMs) in 2023 1. The post Top 6 NLP Language Models Transforming AI In 2023 appeared first on TOPBOTS.

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Towards AI

MARCH 20, 2023

Last Updated on March 20, 2023 by Editorial Team Source: Unsplash Top of the most common questions in generative AI answered TL;DR: Buckle up for an exciting ride through the world of Generative AI! How do neural networks contribute to generative AI? How does natural language processing (NLP) relate to generative AI?

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Towards AI

JULY 20, 2023

Last Updated on July 20, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI. The Lookout — “All’s Well” | Homer NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 03.07.21 Oh and by the way, Maybe… the universe is just a giant neural network… ?‍♂️

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Natural Language Processing @ Sapienza

MARCH 15, 2023

Introduction to Supervised, Unsupervised & Reinforcement Learning. The Supervised Learning framework. From real to computational: features extraction and features vectors. Feature Engineering and inferred features. PyTorch vs Tensorflow. The perceptron model. What is Deep Learning, training weights and Backpropagation.

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Mlearning.ai

MAY 11, 2023

ChatGPT everywhere 2022 to 2023 has undoubtedly emerged as an era of extraordinary technological advancements, particularly within the field of artificial intelligence (AI). ChatGPT is an AI language model that has taken the world by storm since its release in 2020. What the heck is neural network?

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Pickl AI

APRIL 19, 2024

Specialise in domains like machine learning or natural language processing to deepen expertise. Key Takeaways AI encompasses machine learning, neural networks, NLP, and robotics. from 2023 to 2030, indicating substantial growth and opportunities in the AI industry.

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Viso.ai

FEBRUARY 24, 2023

This approach allows neural networks to learn more with fewer labels, smaller samples, or fewer trials. Recent self-supervised learning models include frameworks such as Pre-trained Language Models (PTM), Generative Adversarial Networks (GAN) , Autoencoder and its extensions, Deep Infomax, and Contrastive Coding.

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Unite.AI

JULY 24, 2024

Over the past decade, advancements in machine learning, Natural Language Processing (NLP), and neural networks have transformed the field. In 2023 , the market was valued at $515.31 In the consumer technology sector, AI began to gain prominence with features like voice recognition and automated tasks.

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Google Research AI blog

MARCH 30, 2023

The initial version of DataPerf consists of four challenges focused on three common data-centric tasks across three application domains; vision, speech and natural language processing (NLP). Before modern deep neural networks (DNNs), there were no ML models sufficient to match human behavior for many simple tasks.

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Towards AI

JULY 21, 2023

Last Updated on July 21, 2023 by Editorial Team Author(s): Ricky Costa Originally published on Towards AI. Ivan Aivazovsky — Istanbul NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 09.06.20 Revival Welcome back, and what a week?!?! Time to say goodbye to Summer. ? if you enjoy the read!

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Marktechpost

JULY 16, 2023

Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Recurrent Neural Networks (RNNs) are some of the models utilized in Generative AI. It uses cutting-edge generative deep neural networks with built-in privacy mechanisms to preserve valuable data.

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Towards AI

OCTOBER 30, 2023

Last Updated on October 31, 2023 by Editorial Team Author(s): Anand Taralika Originally published on Towards AI. The technological sphere has since soared, welcoming modern marvels like Librosa in Python for audio analysis & deep neural networks for mood classification.

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Pickl AI

OCTOBER 20, 2024

dollars in 2024, a leap of nearly 50 billion compared to 2023. Diverse career paths : AI spans various fields, including robotics, Natural Language Processing , computer vision, and automation. It involves using neural networks with multiple layers to handle more complex data. dollars by 2030.

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Pickl AI

JULY 24, 2024

” During this time, researchers made remarkable strides in natural language processing, robotics, and expert systems. Notable achievements included the development of ELIZA, an early natural language processing program created by Joseph Weizenbaum, which simulated human conversation.

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Unite.AI

NOVEMBER 8, 2023

Natural Language Processing (NLP) has experienced some of the most impactful breakthroughs in recent years, primarily due to the the transformer architecture. Recurrent Neural Networks (RNNs) became the cornerstone for these applications due to their ability to handle sequential data by maintaining a form of memory.

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Towards AI

APRIL 27, 2023

Last Updated on May 3, 2023 by Editorial Team Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Gradient descent is widely used in various machine learning models, such as linear regression, logistic regression, and neural networks.

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Natural Language Processing @ Sapienza

FEBRUARY 5, 2023

Welcome to the Sapienza NLP course blog 2023! Cool things about to happen: The course will contain lots of up-to-date content on deep learning , neural networks , and an improved hands-on with PyTorch and PyTorch Lightning ! The course is held at DIAG ! Please get access to the Facebook group by signing up via the link below.

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How to Learn Machine Learning

DECEMBER 2, 2022

As we welcome 2023, AI will only become more evident in our lives. In this blog, we will have a look at 6 AI trends that will dominate the tech charts in 2023. 6 Dominating AI Tech Trends for 2023 AI will be part of our daily lives in one way or another without us being fully aware of the same. So, let’s dive in. #1

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Towards AI

SEPTEMBER 6, 2023

Last Updated on September 7, 2023 by Editorial Team Author(s): Jesus Rodriguez Originally published on Towards AI. In the context of AI, a compiler is responsible for translating a neural network architecture into executable code in a specific hardware topology.

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How to Learn Machine Learning

JANUARY 21, 2023

In this article, we’ll explore 7 of the most intriguing AI project ideas for beginners in 2023, providing the perfect opportunity to get your feet wet and jumpstart your AI journey. This can be done using a combination of voice recognition, text-to-speech, and natural language processing to create an interactive experience.

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