AssemblyAI

MARCH 21, 2023

And why do Graph Neural Networks matter in 2023? Next-generation traffic prediction algorithm (Google Maps) Another highly impactful application of Graph Neural Networks came from a team of researchers from DeepMind who showed how GNNs can be applied to transportation maps to improve the accuracy of estimated time of arrival (ETA).

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Unite.AI

AUGUST 20, 2023

With its advanced algorithms and natural language processing capabilities, Copy.ai Copy AI uses advanced artificial intelligence algorithms (GPT 3.5 and 4 language models) to generate high-quality content. is a legitimate AI writing tool that harnesses advanced machine learning algorithms (the latest GPT-3.5

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Topbots

DECEMBER 19, 2023

Generated with Midjourney The NeurIPS 2023 conference showcased a range of significant advancements in AI, with a particular focus on large language models (LLMs), reflecting current trends in AI research. Runner-up Awards Scaling Data-Constrained Language Models By Niklas Muennighoff (Hugging Face), Alexander M.

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Unite.AI

OCTOBER 31, 2023

Rytr’s email generation capabilities are bolstered by its natural language processing and machine learning technologies, enabling it to generate personalized and impactful emails based on user inputs. Natural Language Processing : Employs NLP to generate personalized, relevant emails automatically.

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Unite.AI

AUGUST 1, 2024

Artificial intelligence has had a dramatic impact on language learning, offering personalized and efficient ways to master new tongues. AI-powered language learning apps leverage advanced algorithms, natural language processing, and adaptive technologies to create tailored learning experiences.

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AI Weekly

DECEMBER 14, 2023

businessinsider.com Research 10 GitHub Repositories to Master Machine Learning It covers a wide range of topics such as Quora, blogs, interviews, Kaggle competitions, cheat sheets, deep learning frameworks, natural language processing, computer vision, various machine learning algorithms, and ensembling techniques.

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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. NLTK is appreciated for its broader nature, as it’s able to pull the right algorithm for any job.

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Unite.AI

NOVEMBER 6, 2023

Traditional machine learning is a broad term that covers a wide variety of algorithms primarily driven by statistics. The two main types of traditional ML algorithms are supervised and unsupervised. These algorithms are designed to develop models from structured datasets. Do We Still Need Traditional Machine Learning Algorithms?

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ODSC - Open Data Science

FEBRUARY 27, 2023

With that in mind, here are my top five AI predictions for 2023: 1. Improved natural language processing : Natural language processing (NLP) is the ability of a computer to understand, interpret, and generate human language. Download this e-book ] 2.

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Marktechpost

DECEMBER 4, 2023

Hugging Face is a community of over 5,000 businesses working together to solve problems in audio, vision, and language using artificial intelligence. Several machine learning models, including Flair, Asteroid, ESPnet, and Pyannote, are supported by their open-source natural language processing framework, Transformers.

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AI Weekly

JULY 13, 2023

dzone.com applied-use-cases | Intelligent Process Automation for Improving CX Intelligent process automation (IPA) blends artificial intelligence, computer vision, cognitive automation, natural language processing and machine learning with robotic process automation to enable advanced decision-making automation.

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ODSC - Open Data Science

AUGUST 29, 2023

Natural Language Processing Engineer Natural Language Processing Engineers who specialize in prompt engineering are linguistic architects when it comes to AI communication. At ODSC West, you’ll experience multiple tracks with Large Language Models, having its own track.

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Marktechpost

AUGUST 4, 2023

The important information from an invoice may be extracted without resorting to templates or memorization, thanks to the hundreds of millions of invoices used to train the algorithms. Even on day one of operation, their algorithms produce near-perfect header results, and their technology is always evolving.

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Marktechpost

SEPTEMBER 8, 2023

Natural language processing (NLP), predictive analytics (PA), and text mining are only some of the AI and ML methods used by Watson Analytics. You may save time and energy while creating projects with RapidMiner because of the extensive library of pre-built algorithms and machine learning models it provides.

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Marktechpost

JULY 23, 2023

For computers to process, analyze, interpret, and reason about human language, a subfield of AI known as natural language processing (NLP) is required. Natural language processing (NLP) is an interdisciplinary field that draws on methods from disciplines as diverse as linguistics and computer science.

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Robot Writers AI

JANUARY 14, 2024

In a single lifetime, there are only a few moments that can be marked as truly pivotal — and the emergence of the wunderkind AI writer ChatGPT in 2023 was one of those. And the answer will be: The arrival of ChatGPT in 2023. The post Top Ten Stories in AI Writing for 2023 appeared first on Robot Writers AI.

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AI Weekly

APRIL 20, 2023

bbc.com Ethics TEDx : How I'm fighting bias in algorithms MIT grad student Joy Buolamwini was working with facial analysis software when she noticed a problem: the software didn't detect her face -- because the people who coded the algorithm hadn't taught it to identify a broad range of skin tones and facial structures.

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Topbots

DECEMBER 5, 2023

Top 10 AI Research Papers 2023 1. The algorithm’s generalizability across domains with fixed hyperparameters is achieved through the transformation of signal magnitudes and robust normalization techniques. The code implementation of Gen-1 is not available. A reimplementation of DreamerV3 is available on GitHub.

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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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Aiiot Talk

AUGUST 10, 2024

per square foot in 2023, up 20% year over year, underscoring the need to reduce packaging line losses. Combining deep learning, natural language processing, surveillance systems and computer vision would enable rapid decision-making. For instance, warehouse rent cost $9.72

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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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Google Research AI blog

MARCH 30, 2023

Despite the fundamental importance of data to ML, it’s only now beginning to receive the same level of attention that models and learning algorithms have been enjoying for the past decade. We can begin by recognizing common challenges in dataset creation and developing performance metrics for algorithms that address those challenges.

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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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Topbots

DECEMBER 19, 2023

The NeurIPS 2023 conference, held in the vibrant city of New Orleans from December 10th to 16th, had a particular emphasis on generative AI and large language models (LLMs). The invited talks at NeurIPS 2023 were a reflection of these dynamic and rapidly evolving interests.

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How to Learn Machine Learning

JANUARY 21, 2023

Then check out our article on the best Artificial Intelligence trends in 2023! At its core, AI relies on algorithms, data processing, and machine learning to generate insights from vast amounts of data. The key component of AI includes data processing, algorithms, and machine learning.

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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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Marktechpost

JULY 17, 2023

It relates to employing algorithms to find and examine data patterns to forecast future events. For machine learning to identify common patterns, large datasets must be processed. Algorithms and models Predictive analytics uses several methods from fields like machine learning, data mining, statistics, analysis, and modeling.

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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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Unite.AI

JULY 13, 2023

Jasper is an AI writing tool that uses Natural Language Processing (NLP) and machine learning algorithms to write human-like text in real time. However, ChatGPT presents a more advanced language model on the Pro version with ChatGPT 4, and unlimited words forever on the free version. What is Jasper AI?

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Towards AI

DECEMBER 28, 2023

Last Updated on December 30, 2023 by Editorial Team Author(s): Sudhanshu Sharma Originally published on Towards AI. Black box algorithms such as xgboost emerged as the preferred solution for a majority of classification and regression problems. In 2023, we witnessed the substantial transformation of AI, marking it as the ‘year of AI.’

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Flipboard

JULY 31, 2023

From decoding the complex algorithms to highlighting unique features, this article is your one-stop shop for finding the perfect AI blog writer for you. Similarly, Machine Learning algorithms, with enough data, can make complex decisions, predict outcomes, and even create human-like text. Let’s begin.

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Ofemwire

MAY 11, 2023

We’ve rounded up the top 12 AI software that every blogger should be using in 2023 to maximize their blog’s potential. Keep reading to discover which AI software will best help you succeed in 2023! It uses machine learning algorithms to analyze text and provide suggestions for improvements.

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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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Marktechpost

JANUARY 19, 2024

This advancement is crucial in RL, where algorithms learn to make sequential decisions, often in complex and dynamic environments. These aspects are critical in developing algorithms that can adapt and make informed decisions in varied scenarios, such as navigating through a maze or playing strategic games.

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Unite.AI

OCTOBER 4, 2024

According to a 2023 report by Cybersecurity Ventures , cybercrime is estimated to cost the world $10.5 This calls for a major change in the traditional security testing processes. AI can quickly and efficiently analyze vast data volumes using algorithms and machine learning. trillion annually by 2025.

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Towards AI

AUGUST 10, 2023

Last Updated on August 11, 2023 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Embarking on a Journey with Large Language Models (LLMs) This member-only story is on us. The world of artificial intelligence has been revolutionized by the emergence of Large Language Models (LLMs).

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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. Core ML brought powerful machine learning algorithms to the iOS platform, enabling apps to perform tasks such as image recognition, NLP, and predictive analytics.

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