AI Weekly

OCTOBER 26, 2023

cryptopolitan.com Applied use cases Alluxio rolls out new filesystem built for deep learning Alluxio Enterprise AI is aimed at data-intensive deep learning applications such as generative AI, computer vision, natural language processing, large language models and high-performance data analytics.

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ODSC - Open Data Science

JUNE 9, 2023

The 1970s introduced bell bottoms, case grammars, semantic networks, and conceptual dependency theory. In the 90’s we got grunge, statistical models, recurrent neural networks and long short-term memory models (LSTM). It uses a neural network to learn the vector representations of words from a large corpus of text.

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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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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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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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Unite.AI

MARCH 11, 2024

As we navigate the recent artificial intelligence (AI) developments, a subtle but significant transition is underway, moving from the reliance on standalone AI models like large language models (LLMs) to the more nuanced and collaborative compound AI systems like AlphaGeometry and Retrieval Augmented Generation (RAG) system.

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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!

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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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AssemblyAI

SEPTEMBER 18, 2023

Below, we'll give you the basic know-how you need to understand LLMs, how they work, and the best models in 2023. What Is a Large Language Model? A large language model (often abbreviated as LLM) is a machine-learning model designed to understand, generate, and interact with human language. Want to dive deeper?

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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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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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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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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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Topbots

DECEMBER 5, 2023

Top 10 AI Research Papers 2023 1. ControlNet by Stanford University Summary ControlNet is a neural network structure designed by the Stanford University research team to control pretrained large diffusion models and support additional input conditions. A reimplementation of DreamerV3 is available on GitHub.

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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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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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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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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

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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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

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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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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ODSC - Open Data Science

APRIL 11, 2023

We’ll learn how to automatically discover and describe the function of individual neurons within deep networks, and use these descriptions to identify model failures and improve their robustness. At ODSC East 2023 this May, we have an entire track devoted to NLP.

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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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Flipboard

MARCH 27, 2023

Project Structure Accelerating Convolutional Neural Networks Parsing Command Line Arguments and Running a Model Evaluating Convolutional Neural Networks Accelerating Vision Transformers Evaluating Vision Transformers Accelerating BERT Evaluating BERT Miscellaneous Summary Citation Information What’s New in PyTorch 2.0?

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Marktechpost

DECEMBER 17, 2023

Training large language models (LLMs) that can naturally handle various tasks without extensive task-specific adjustments has become more popular in natural language processing (NLP). The capacity to manage many input modalities and output tasks is essential for vision’s scalability and versatility.

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Pickl AI

NOVEMBER 13, 2024

It’s a crucial technique in modern neural networks, enhancing performance and generalisation. Introduction Deep Learning has revolutionised technology, powering advancements in AI-driven applications like speech recognition, image processing, and autonomous systems. billion in 2023, is expected to surge to $298.38

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Marktechpost

JUNE 27, 2023

The technology may have meaningful interactions with consumers because it uses machine learning and natural language processing. Deep Convolutional Neural Networks (DCNN) trained on millions of photos power VanceAI’s A.I. tools, allowing for insightful analysis and lightning-fast processing.

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AssemblyAI

MAY 3, 2023

The core process is a general technique known as self-supervised learning , a learning paradigm that leverages the inherent structure of the data itself to generate labels for training. This concept is not exclusive to natural language processing, and has also been employed in other domains.

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Viso.ai

FEBRUARY 25, 2023

Vision Transformer (ViT) have recently emerged as a competitive alternative to Convolutional Neural Networks (CNNs) that are currently state-of-the-art in different image recognition computer vision tasks. Transformer models have become the de-facto status quo in Natural Language Processing (NLP).

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The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows.

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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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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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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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