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. All credit for this research goes to the researchers of this project.

Neural Network 133

Neural Network Natural Language Processing Deep Learning Artificial Intelligence 133

Marktechpost

DECEMBER 23, 2023

Deep Neural Networks (DNNs) represent a powerful subset of artificial neural networks (ANNs) designed to model complex patterns and correlations within data. These sophisticated networks consist of multiple layers of interconnected nodes, enabling them to learn intricate hierarchical representations.

Neural Network 122

Neural Network Machine Learning Natural Language Processing Computer Vision 122

AI Weekly

JULY 13, 2023

theguardian.com Sarah Silverman sues OpenAI and Meta claiming AI training infringed copyright The US comedian and author Sarah Silverman is suing the ChatGPT developer OpenAI and Mark Zuckerberg’s Meta for copyright infringement over claims that their artificial intelligence models were trained on her work without permission.

Neural Network 242

Neural Network Robotics ChatGPT Computer Vision 242

Unite.AI

MARCH 2, 2025

Artificial Intelligence (AI) is evolving at an unprecedented pace, with large-scale models reaching new levels of intelligence and capability. 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.

Deep Learning 159

Deep Learning Neural Network Automation AI 159

Marktechpost

JULY 12, 2023

Artificial neural networks have advanced significantly over the past few decades, propelled by the notion that more network complexity results in better performance. Modern technology has amazing processing capacity, enabling neural networks to perform these jobs excellently and efficiently.

Neural Network 98

Neural Network Computer Vision AI Researcher AI Research 98

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. As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what's possible in AI. Visit GPT-4o → 3.

Large Language Models 304

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 304

AssemblyAI

MAY 3, 2023

Effective methods allowing for better control, or steerability , of large-scale AI systems are currently in extremely high demand in the world of AI research. 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

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 105

Neural Network Natural Language Processing LLM Artificial Intelligence 105

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.

Machine Learning 291

Machine Learning Neural Network Robotics Natural Language Processing 291

Marktechpost

DECEMBER 16, 2023

Trained on a dataset from six UK hospitals, the system utilizes neural networks, X-Raydar and X-Raydar-NLP, for classifying common chest X-ray findings from images and their free-text reports. The dataset, spanning 13 years, included 2,513,546 chest x-ray studies and 1,940,508 usable free-text radiological reports.

Neural Network 96

Neural Network Auto-classification NLP Natural Language Processing 96

Marktechpost

DECEMBER 13, 2023

The well-known Large Language Models (LLMs) like GPT, BERT, PaLM, and LLaMA have brought in some great advancements in Natural Language Processing (NLP) and Natural Language Generation (NLG). LLMs are becoming increasingly popular for graph-based applications.

Large Language Models 126

Large Language Models AI Researcher AI Research Neural Network 126

Marktechpost

NOVEMBER 5, 2024

Recurrent Neural Networks were the trailblazers in natural language processing and set the cornerstone for future advances. RNNs were simple in structure with their contextual memory and constant state size, which promised the capacity to handle long sequence tasks. Don’t Forget to join our 55k+ ML SubReddit.

Neural Network 82

Neural Network AI Researcher AI Research Natural Language Processing 82

AI Weekly

JANUARY 18, 2024

We need a careful balance of policies to tap its potential imf.org AI Ethics in the Spotlight: Examining Public Concerns in 2024 In the early days of January 2024, there were discussions surrounding Midjourney, a prominent player in the AI image-generation field.

Robotics 264

Robotics Artificial Intelligence Artificial Intelligence Machine Learning 264

Marktechpost

DECEMBER 5, 2023

The Hierarchically Gated Recurrent Neural Network (HGRN) technique developed by researchers from the Shanghai Artificial Intelligence Laboratory and MIT CSAI addresses the challenge of enhancing sequence modeling by incorporating forget gates in linear RNNs. If you like our work, you will love our newsletter.

Neural Network 101

Neural Network Artificial Intelligence Artificial Intelligence Natural Language Processing 101

Marktechpost

AUGUST 7, 2023

As the world of technology continues to evolve, Perfusion stands as a testament to the incredible possibilities at the intersection of natural language processing and image generation. Perfusion has showcased its prowess in generating remarkable visual compositions even in one-shot settings.

Neural Network 98

Neural Network Natural Language Processing Algorithm AI Research 98

AI Weekly

DECEMBER 14, 2023

time.com Technologies like artificial intelligence are changing our understanding of war AI has affected how people understand the world, the jobs available in the workforce and judgments of who merits employment or threatens society. Many of the services only work on women. cnet.com The limitations of being human got you down?

AI Chatbots 264

AI Chatbots Chatbots Robotics Large Language Models 264

Marktechpost

MARCH 4, 2024

Efficiency of Large Language Models (LLMs) is a focal point for researchers in AI. A groundbreaking study by Qualcomm AI Research introduces a method known as GPTVQ, which leverages vector quantization (VQ) to enhance the size-accuracy trade-off in neural network quantization significantly.

Machine Learning 130

Machine Learning AI Researcher AI Research Large Language Models 130

Pickl AI

SEPTEMBER 3, 2024

Summary: Artificial Neural Network (ANNs) are computational models inspired by the human brain, enabling machines to learn from data. Introduction Artificial Neural Network (ANNs) have emerged as a cornerstone of Artificial Intelligence and Machine Learning , revolutionising how computers process information and learn from data.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 52

Marktechpost

JUNE 14, 2024

This article lists the top AI courses by Stanford that provide essential training in machine learning, deep learning, natural language processing, and other key AI technologies, making them invaluable for anyone looking to excel in the field. This beginner-friendly program, developed by DeepLearning.AI

Artificial Intelligence 124

Artificial Intelligence Artificial Intelligence Natural Language Processing Machine Learning 124

Unite.AI

OCTOBER 22, 2024

We use Big O notation to describe this growth, and quadratic complexity O(n²) is a common challenge in many AI tasks. AI models like neural networks , used in applications like Natural Language Processing (NLP) and computer vision , are notorious for their high computational demands.

Neural Network 147

Neural Network Convolutional Neural Networks Deep Learning Natural Language Processing 147

AssemblyAI

JANUARY 23, 2025

Unlike many natural language processing (NLP) models, which were historically dominated by recurrent neural networks (RNNs) and, more recently, transformers, wav2letter is designed entirely using convolutional neural networks (CNNs). What sets wav2letter apart is its unique architecture.

Python 130

Python Convolutional Neural Networks Neural Network OpenAI 130

Unite.AI

FEBRUARY 7, 2024

But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs). LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code.

Machine Learning 294

Machine Learning Large Language Models LLM BERT 294

Unite.AI

FEBRUARY 16, 2024

AGI, on the other hand, would have the ability to understand and reason across multiple domains, such as language, logic, creativity, common sense, and emotion. It has been the guiding vision of AI research since the earliest days and remains its most divisive idea. AGI is not a new concept.

Neural Network 195

Neural Network Machine Learning Algorithm Natural Language Processing 195

Topbots

DECEMBER 5, 2023

Top 10 AI Research Papers 2023 1. Sparks of AGI by Microsoft Summary In this research paper, a team from Microsoft Research analyzes an early version of OpenAI’s GPT-4, which was still under active development at the time. Sign up for more AI research updates. Enjoy this article?

AI Researcher 112

AI Researcher AI Research Natural Language Processing Neural Network 112

Marktechpost

OCTOBER 18, 2023

One of the biggest challenges in Machine Learning has always been to train and use neural networks efficiently. In recent research, a team of researchers has introduced a deep learning compiler specifically made for neural network training. The third essential component is the multi-threaded execution.

Deep Learning 120

Deep Learning Neural Network Natural Language Processing Computer Vision 120

Unite.AI

JULY 24, 2024

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

Machine Learning 223

Machine Learning NLP AI AI 223

Unite.AI

JANUARY 12, 2024

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

Generative AI 189

Generative AI Neural Network ChatGPT OpenAI 189

Marktechpost

JUNE 22, 2023

These models have revolutionized the field of natural language processing and are being increasingly utilized across various domains. We, as individuals, acquire cognitive capacities and linguistic abilities through socialization and immersion in a community of language users. 2023 is the year of LLMs.

AI Researcher 107

AI Researcher AI Research ChatGPT LLM 107

NVIDIA

FEBRUARY 11, 2025

They said transformer models , large language models (LLMs), vision language models (VLMs) and other neural networks still being built are part of an important new category they dubbed foundation models. Earlier neural networks were narrowly tuned for specific tasks.

Neural Network 56

Neural Network Large Language Models Robotics BERT 56

Marktechpost

SEPTEMBER 1, 2023

LLMs have become increasingly popular in the NLP (natural language processing) community in recent years. Scaling neural network-based machine learning models has led to recent advances, resulting in models that can generate natural language nearly indistinguishable from that produced by humans.

Large Language Models 137

Large Language Models Neural Network Natural Language Processing LLM 137

Marktechpost

NOVEMBER 12, 2023

In deep learning, Transformer neural networks have garnered significant attention for their effectiveness in various domains, especially in natural language processing and emerging applications like computer vision, robotics, and autonomous driving. If you like our work, you will love our newsletter.

Artificial Intelligence 143

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 143

Marktechpost

JUNE 4, 2024

Modern Deep Neural Networks (DNNs) are inherently opaque; we do not know how or why these computers arrive at the predictions they do. An emerging area of study called Explainable AI (XAI) has arisen to shed light on how DNNs make decisions in a way that humans can comprehend. Check out the Paper.

Machine Learning 114

Machine Learning Neural Network Explainability Natural Language Processing 114

Towards AI

MARCH 20, 2023

How does generative AI differ from other types of AI? What are the most popular generative AI models? What is the history and evolution of generative AI? How do neural networks contribute to generative AI? What are the primary applications of generative AI? Neural networks […]

Generative AI 93

Generative AI Neural Network Natural Language Processing AI Modeling 93

Marktechpost

DECEMBER 24, 2023

The release of Transformers has marked a significant advancement in the field of Artificial Intelligence (AI) and neural network topologies. Understanding the workings of these complex neural network architectures requires an understanding of transformers. Check out the Paper.

Machine Learning 122

Machine Learning Neural Network Natural Language Processing Computer Vision 122

Probably Approximately a Scientific Blog

JANUARY 12, 2021

Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right). Yet, endowing machines with such human-like commonsense reasoning capabilities has remained an elusive goal of AI research for decades. Is commonsense knowledge already captured by pre-trained language models?

Natural Language Processing 52

Natural Language Processing BERT NLP Neural Network 52

Pickl AI

DECEMBER 26, 2024

Summary: Amazon’s Ultracluster is a transformative AI supercomputer, driving advancements in Machine Learning, NLP, and robotics. Its high-performance architecture accelerates AI research, benefiting healthcare, finance, and entertainment industries.

Natural Language Processing 52

Natural Language Processing Computer Vision Robotics Machine Learning 52

AWS Machine Learning Blog

MARCH 21, 2025

Generate metadata Using natural language processing, you can generate metadata for the paper to aid in searchability. However, the lower and fluctuating validation Dice coefficient indicates potential overfitting and room for improvement in the models generalization performance. samples/2003.10304/page_0.png'

Metadata 102

Metadata Convolutional Neural Networks Generative AI Data Scientist 102