Marktechpost

OCTOBER 28, 2024

By inputting different prompts, users can observe the model’s ability to generate human-quality text, translate languages, write various kinds of creative content, and answer your questions in an informative way. This platform provides a valuable opportunity to understand the potential of AI in natural language processing.

Neural Network 109

Neural Network Natural Language Processing Deep Learning Machine Learning 109

Towards AI

NOVEMBER 8, 2024

Automating Words: How GRUs Power the Future of Text Generation Isn’t it incredible how far language technology has come? Natural Language Processing, or NLP, used to be about just getting computers to follow basic commands. One powerful tool for this purpose is the Gated Recurrent Unit (GRU) network.

Automation 122

Automation Natural Language Processing Neural Network NLP 122

Marktechpost

DECEMBER 10, 2024

Artificial Neural Networks (ANNs) have become one of the most transformative technologies in the field of artificial intelligence (AI). Artificial Neural Networks are computational systems inspired by the human brain’s structure and functionality. How Do Artificial Neural Networks Work?

Neural Network 109

Neural Network Convolutional Neural Networks Natural Language Processing Algorithm 109

AI Weekly

AUGUST 10, 2023

Powered by clkmg.com In the News Deepset nabs $30M to speed up natural language processing projects Deepset GmbH today announced that it has raised $30 million to enhance its open-source Haystack framework, which helps developers build natural language processing applications. Subscribe today!] 1.41%) (BRK.B

Neural Network 246

Neural Network Natural Language Processing Deep Learning Robotics 246

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. voxeurop.eu

Neural Network 262

Neural Network Convolutional Neural Networks Robotics Deep Learning 262

Unite.AI

MARCH 2, 2025

From early neural networks to todays advanced architectures like GPT-4 , LLaMA , and other Large Language Models (LLMs) , AI is transforming our interaction with technology. These models can process vast amounts of data, generate human-like text, assist in decision-making, and enhance automation across industries.

Deep Learning 159

Deep Learning Neural Network Automation AI 159

Unite.AI

JANUARY 22, 2025

These functions are anchored by a comprehensive user management system that controls access to sensitive information and maintains secure connections between patient records and user profiles. The system's intelligence stems from its neural network-based Concept Processor, which observes and learns from every interaction.

Automation 240

Automation AI AI Algorithm 240

Unite.AI

SEPTEMBER 15, 2024

Their findings, recently published in Nature , represent a significant leap forward in the field of neuromorphic computing – a branch of computer science that aims to mimic the structure and function of biological neural networks. The team's approach diverges significantly from traditional silicon-based computing.

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Neural Network Natural Language Processing Artificial Intelligence Artificial Intelligence 263

Marktechpost

MAY 13, 2024

Vision Transformers (ViT) and Convolutional Neural Networks (CNN) have emerged as key players in image processing in the competitive landscape of machine learning technologies. Convolutional Neural Networks (CNNs) CNNs have been the cornerstone of image-processing tasks for years.

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Convolutional Neural Networks Neural Network Natural Language Processing Artificial Intelligence 104

AI News

JULY 22, 2024

Machine learning models, such as regression analysis, neural networks, and decision trees, are employed to analyse historical data and predict future outcomes. Data collection and processing AI algorithms thrive on data. This advantage is particularly pronounced in fast-paced sports like basketball and soccer.

Machine Learning 312

Machine Learning Algorithm Neural Network Natural Language Processing 312

Marktechpost

DECEMBER 19, 2023

Natural language processing, conversational AI, time series analysis, and indirect sequential formats (such as pictures and graphs) are common examples of the complicated sequential data processing jobs involved in these.

Neural Network 135

Neural Network Natural Language Processing Deep Learning Artificial Intelligence 135

Unite.AI

SEPTEMBER 18, 2024

The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. This family of LLMs offers enhanced performance across a wide range of tasks, from natural language processing to complex problem-solving.

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IBM Journey to AI blog

APRIL 16, 2024

A reliable and trustworthy data source is essential for sharing information across departments. This addresses data management, conversational interface and natural language processing needs with efficiency. Our partnership with IBM facilitates the delivery of scalable solutions, rapidly implementable by organizations.

Natural Language Processing 254

Natural Language Processing Generative AI AI AI 254

AI Weekly

JULY 13, 2023

In the News Elon Musk unveils new AI company set to rival ChatGPT Elon Musk, who has hinted for months that he wants to build an alternative to the popular ChatGPT artificial intelligence chatbot, announced the formation of what he’s calling xAI, whose goal is to “understand the true nature of the universe.” Powered by pluto.fi theage.com.au

Neural Network 242

Neural Network Robotics ChatGPT Computer Vision 242

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. This method involves hand-keying information directly into the target system. It is often easier to adopt due to its lower initial costs.

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Data Extraction Neural Network Large Language Models NLP 273

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.

Large Language Models 363

Large Language Models Neural Network LLM ChatGPT 363

Unite.AI

MARCH 11, 2024

While multimodal AI focuses on processing and integrating data from various modalities—text, images, audio—to make informed predictions or responses like Gemini model, CAS integrates multiple interacting components like language models and search engines to boost performance and adaptability in AI tasks.

AI Modeling 303

AI Modeling Neural Network Large Language Models AI 303

Unite.AI

APRIL 6, 2025

Wendys AI-Powered Drive-Thru System (FreshAI) FreshAI uses advanced natural language processing (NLP) , machine learning (ML) , and generative AI to optimize the fast-food ordering experience. AI systems like FreshAI collect and process customer voice data, raising questions about how that information is stored and used.

Automation 157

Automation AI AI Neural Network 157

Unite.AI

JUNE 26, 2023

Theoretical frameworks such as Integrated Information Theory (IIT), Global Workspace Theory (GWT), and Artificial General Intelligence (AGI) provide a frame of reference for how AI consciousness can be achieved. They lack subjective experience, self-consciousness, or an understanding of context beyond what they have been trained to process.

AI 348

AI Neural Network AI Natural Language Processing 348

Marktechpost

OCTOBER 7, 2024

Recurrent neural networks (RNNs) have been foundational in machine learning for addressing various sequence-based problems, including time series forecasting and natural language processing. Let’s collaborate!

Neural Network 108

Neural Network Natural Language Processing Machine Learning Data Quality 108

Becoming Human

MARCH 16, 2023

This post includes the fundamentals of graphs, combining graphs and deep learning, and an overview of Graph Neural Networks and their applications. Through the next series of this post here , I will try to make an implementation of Graph Convolutional Neural Network. So, let’s get started! What are Graphs?

Neural Network 87

Neural Network Auto-classification Convolutional Neural Networks Auto-complete 87

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.

Machine Learning 204

Machine Learning Neural Network Deep Learning Convolutional Neural Networks 204

Unite.AI

DECEMBER 18, 2023

Transformers vs Mamba Transformers, like GPT-4, have set benchmarks in natural language processing. Here's where Mamba leaps ahead, with its ability to process long sequences more efficiently and its unique architecture that simplifies the entire process. However, their efficiency dips with longer sequences.

Neural Network 278

Neural Network Deep Learning Natural Language Processing Algorithm 278

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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Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 289

Marktechpost

NOVEMBER 3, 2023

In several natural language processing applications, text-based big language models have shown impressive and even human-level performance. Five speech-based natural language processing (NLP) tasks, including slot filling and translation to untrained languages, are included in the second level.

Neural Network 107

Neural Network Natural Language Processing LLM Artificial Intelligence 107

Pickl AI

NOVEMBER 22, 2024

Summary: Long Short-Term Memory (LSTM) networks are a specialised form of Recurrent Neural Networks (RNNs) that excel in learning long-term dependencies in sequential data. By utilising memory cells and gating mechanisms, LSTMs effectively manage information flow, preventing issues like the vanishing gradient problem.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing NLP 52

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. consisted of 10 racks holding 90 servers, with a total of 2,880 processor cores.

Machine Learning 291

Machine Learning Neural Network Robotics Natural Language Processing 291

AWS Machine Learning Blog

MARCH 21, 2025

Research papers and engineering documents often contain a wealth of information in the form of mathematical formulas, charts, and graphs. Navigating these unstructured documents to find relevant information can be a tedious and time-consuming task, especially when dealing with large volumes of data. samples/2003.10304/page_0.png'

Metadata 114

Metadata Convolutional Neural Networks Generative AI Data Scientist 114

Pickl AI

DECEMBER 29, 2024

Linear algebra helps in data manipulation and neural network training. Operations like addition, multiplication, and transposition of matrices are widely used for data transformation and neural network computations. Key Takeaways Mathematics is crucial for optimising AI algorithms and models.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Natural Language Processing 52

Pickl AI

JANUARY 26, 2025

These models mimic the human brain’s neural networks, making them highly effective for image recognition, natural language processing, and predictive analytics. Feedforward Neural Networks (FNNs) Feedforward Neural Networks (FNNs) are the simplest and most foundational architecture in Deep Learning.

Deep Learning 52

Deep Learning Neural Network Convolutional Neural Networks Natural Language Processing 52

Marktechpost

JANUARY 30, 2025

Natural Language Processing (NLP): Text data and voice inputs are transformed into tokens using tools like spaCy. Embeddings like word2vec, GloVe , or contextual embeddings from large language models (e.g., The critical factor is speedthese data must be accessible within milliseconds to inform real-time decision-making.

Robotics 116

Robotics Convolutional Neural Networks Large Language Models AI 116

Marktechpost

JANUARY 7, 2025

Advancements in neural networks have brought significant changes across domains like natural language processing, computer vision, and scientific computing. Neural networks often employ higher-order tensor weights to capture complex relationships, but this introduces memory inefficiencies during training.

Neural Network 87

Neural Network Natural Language Processing Computer Vision LLM 87

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. It results in sparse and high-dimensional vectors that do not capture any semantic or syntactic information about the words.

BERT 298

BERT NLP Neural Network Natural Language Processing 298

Unite.AI

APRIL 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and assisting with a wide range of language-related tasks. LLMs based on prefix decoders include GLM130B and U-PaLM.

Large Language Models 277

Large Language Models Prompt Engineer Prompt Engineering Neural Network 277

Marktechpost

APRIL 12, 2024

Deep learning architectures have revolutionized the field of artificial intelligence, offering innovative solutions for complex problems across various domains, including computer vision, natural language processing, speech recognition, and generative models.

Deep Learning 137

Deep Learning Convolutional Neural Networks Neural Network Natural Language Processing 137

Marktechpost

DECEMBER 12, 2024

A Deep Neural Network (DNN) is an artificial neural network that features multiple layers of interconnected nodes, also known as neurons. Each neuron processes input data by applying weights, biases, and an activation function to generate an output. These layers include an input, multiple hidden, and output layers.

Neural Network 57

Neural Network Convolutional Neural Networks Natural Language Processing Artificial Intelligence 57

AI News

OCTOBER 15, 2024

Unsupervised machine learning systems use artificial neural networks to continue interacting with customers and retain existing customers. Speed and efficiency : Chatbots and virtual assistants can process information quicker than humans and eliminate wait times for customers.

Machine Learning 300

Machine Learning Chatbots Business Intelligence Automation 300