Marktechpost

DECEMBER 24, 2023

As the demand for sustainable agriculture grows, machine learning emerges as a vital force, reshaping the future of food security and cultivation. These methods address the challenges of traditional approaches, offering more automated, accurate, and robust solutions for identifying and categorizing plant leaf diseases.

Machine Learning 117

Machine Learning Convolutional Neural Networks Neural Network Deep Learning 117

Marktechpost

DECEMBER 22, 2023

Researchers from Lebanese American University and United Arab Emirates University have collaborated to employ artificial intelligence (AI) successfully through the Scale Conjugate Gradient Neural Network (SCJGNN), providing numerical solutions for the language-based learning model.

Deep Learning 56

Deep Learning Categorization Neural Network Artificial Intelligence 56

Marktechpost

OCTOBER 9, 2023

Specifically, 13 distinct single-error actions and 74 composite error actions associated with external cardiac compression have been identified and categorized. This innovative CPR-based research is the first to analyze action-specific errors commonly committed during this procedure. Join our AI Channel on Whatsapp.

Artificial Intelligence 128

Artificial Intelligence Artificial Intelligence Categorization Deep Learning 128

Marktechpost

SEPTEMBER 26, 2023

Many graphical models are designed to work exclusively with continuous or categorical variables, limiting their applicability to data that spans different types. Moreover, specific restrictions, such as continuous variables not being allowed as parents of categorical variables in directed acyclic graphs (DAGs), can hinder their flexibility.

Neural Network 135

Neural Network Categorization Data Scientist Data Analysis 135

Marktechpost

JULY 25, 2023

LogAI provides a unified model interface for popular statistical, time-series, and deep-learning models, making it easy to benchmark deep-learning algorithms for log anomaly detection. The Information Extraction Layer of LogAI converts log records into vectors for machine learning.

Deep Learning 98

Deep Learning Machine Learning Algorithm Categorization 98

Marktechpost

OCTOBER 25, 2024

It’s built on top of popular deep learning frameworks like PyTorch and TensorFlow, making it accessible to a broad audience of developers and researchers. It offers a variety of features, including tokenization, part-of-speech tagging, named entity recognition, dependency parsing, and text categorization.

Natural Language Processing 111

Natural Language Processing NLP Deep Learning Python 111

Marktechpost

DECEMBER 31, 2023

This gap presents an opportunity for the integration of emerging technologies like AI. Integrating AI with neuroimaging represents a significant leap forward in TMD research. AI, particularly through machine learning and deep learning, has been applied to analyze patient data more effectively.

Categorization 124

Categorization Algorithm Deep Learning Artificial Intelligence 124

Marktechpost

SEPTEMBER 12, 2023

Fine-grained image categorization delves into distinguishing closely related subclasses within a broader category. Deep learning models frequently unintentionally concentrate more on backgrounds, occasionally to the point where they can categorize based only on it. If you like our work, you will love our newsletter.

Convolutional Neural Networks 107

Convolutional Neural Networks Categorization Neural Network Deep Learning 107

Marktechpost

OCTOBER 18, 2023

The recent results of machine learning in drug discovery have been largely attributed to graph and geometric deep learning models. Like other deep learning techniques, they need a lot of training data to provide excellent modeling accuracy. All Credit For This Research Goes To the Researchers on This Project.

Machine Learning 124

Machine Learning Deep Learning Neural Network Natural Language Processing 124

Marktechpost

DECEMBER 11, 2023

1, the research team altered the transformer decoder design just slightly (two modifications total). The research team trained this model using teacher forcing and a causal attention mask, just like typical transformer decoders. All credit for this research goes to the researchers of this project. As seen in Fig.

Categorization 120

Categorization Computer Vision Natural Language Processing Deep Learning 120

Marktechpost

SEPTEMBER 6, 2023

With the advancements in machine learning and deep learning techniques, there has also been an increase in automation of various dimensions. All Credit For This Research Goes To the Researchers on This Project. They enable us to keep track of natural resources and also help in environmental sustainability.

Computer Vision 94

Computer Vision Automation Neural Network Categorization 94

Marktechpost

OCTOBER 22, 2023

Applications of FastEmbed Machine Translation Text Categorization Answering Questions and Summarizing Documents Information Retrieval and Summarization FastEmbed is an efficient, lightweight, and precise toolkit for generating text embeddings. All Credit For This Research Goes To the Researchers on This Project.

Python 111

Python Natural Language Processing Categorization NLP 111

IBM Journey to AI blog

APRIL 18, 2024

The exact nature of general intelligence in AGI remains a topic of debate among AI researchers. Most experts categorize it as a powerful, but narrow AI model. Current AI advancements demonstrate impressive capabilities in specific areas.

Neural Network 256

Neural Network LLM Algorithm NLP 256

Towards AI

JUNE 4, 2024

What happened this week in AI by Louie While there was plenty of newsflow in the LLM world again this week, we are also interested in how the LLM-fueled boom in AI research and AI compute capacity can accelerate other AI models. Microsoft’s Aurora, Codestral, MoRA, XAi raise & more.

LLM 102

LLM Neural Network AI AI 102

Marktechpost

JANUARY 4, 2024

The system’s error detection mechanism is designed to identify and categorize failures during execution promptly. Also, don’t forget to join our 35k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , LinkedIn Gr oup , Twitter , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

Computational Linguistics 117

Computational Linguistics Large Language Models LLM BERT 117

Marktechpost

JULY 16, 2023

Because of this, academics worldwide are looking at the potential benefits deep learning and large language models (LLMs) might bring to audio generation. In the last few weeks alone, four new papers have been published, each introducing a potentially useful audio model that can make further research in this area much easier.

Large Language Models 98

Large Language Models Categorization Natural Language Processing BERT 98

Marktechpost

NOVEMBER 26, 2023

” Novel exemplar-label mappings were supplied at test time, and the network’s task was to categorize query exemplars using these. ICL research evolved as a result of the transformer’s development. All credit for this research goes to the researchers of this project.

Neural Network 131

Neural Network Categorization AI Research AI Researcher 131

Marktechpost

DECEMBER 13, 2023

The research team discussed implications for virtual avatar applications, emphasizing the potential for in-group and out-group categorization leading to stereotyping and social judgments. All credit for this research goes to the researchers of this project. If you like our work, you will love our newsletter.

Metadata 107

Metadata Categorization AI AI 107

Marktechpost

FEBRUARY 17, 2025

Papers were annotated with metadata such as author affiliations, publication year, and citation count and were categorized based on methodological approaches, specific safety concerns addressed, and risk mitigation strategies. All credit for this research goes to the researchers of this project.

Categorization 46

Categorization Deep Learning Metadata AI 46

Marktechpost

JANUARY 22, 2024

Image annotation is the process of labeling or categorizing an image with descriptive data that helps identify and classify objects, people, and situations included within the image. Thanks to Keylabs, AI researchers and developers may save time annotating photos.

Computer Vision 108

Computer Vision Machine Learning Deep Learning ML 108

Marktechpost

JULY 4, 2023

A model’s parameters are the components learned from previous training data and, in essence, establish the model’s proficiency on a task, such as text generation. Natural language processing (NLP) activities, including speech-to-text, sentiment analysis, text summarization, spell-checking, token categorization, etc.,

Large Language Models 103

Large Language Models BERT Natural Language Processing Categorization 103

Marktechpost

DECEMBER 12, 2023

New Meta research brings to light a tool for input-output safeguarding that categorizes potential dangers in conversational AI agent prompts and responses. All credit for this research goes to the researchers of this project. Finally, all existing tools are based on modest, traditional transformer models.

Generative AI 103

Generative AI AI Modeling Large Language Models LLM 103

Marktechpost

JUNE 11, 2023

The out-of-distribution (OOD) detection in deep learning models, particularly in image classification, addresses the challenge of identifying inputs unrelated to the model’s training task. Check Out The Paper and Github.

Categorization 67

Categorization Deep Learning AI Tools AI Research 67

Marktechpost

JULY 17, 2023

What Relationship Exists Between Predictive Analytics, Deep Learning, and Artificial Intelligence? For machine learning to identify common patterns, large datasets must be processed. Deep learning is a branch of machine learning frequently used with text, audio, visual, or photographic data.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

ODSC - Open Data Science

MARCH 3, 2023

As newer fields emerge within data science and the research is still hard to grasp, sometimes it’s best to talk to the experts and pioneers of the field. Recently, we spoke with Pedro Domingos, Professor of computer science at the University of Washington, AI researcher, and author of “The Master Algorithm” book.

Machine Learning 52

Machine Learning Algorithm Data Science Deep Learning 52

Topbots

OCTOBER 4, 2023

The basic difference is that predictive AI outputs predictions and forecasts, while generative AI outputs new content. Here are a few examples across various domains: Natural Language Processing (NLP) : Predictive NLP models can categorize text into predefined classes (e.g., Sign up for more AI research updates.

Generative AI 118

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 118

Viso.ai

FEBRUARY 11, 2024

One of the crucial tasks in today’s AI is the image classification. It is a technique used in computer vision to identify and categorize the main content (objects) in a photo or video. Image classification employs AI-based deep learning models to analyze images and perform object recognition, as well as a human operator.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

Marktechpost

JULY 17, 2023

Hugging Face AI Content Detector The company Hugging Face offers a platform for developing and implementing natural language processing (NLP) models. They have created several AI models, including the AI Content Detector, a machine-learning model that recognizes and categorizes various kinds of textual content.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing NLP 52

Marktechpost

AUGUST 17, 2023

The application also has a useful function called Multiple Speaker Detection, which allows for the easy segmentation and categorization of speech associated with specific voices. AudioStrip To remove or isolate voices from music, you can utilize AudioStrip, an online application that employs artificial intelligence and deep learning methods.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Neural Network AI 98

Topbots

APRIL 11, 2023

If you’d like to skip around, here are the language models we featured: BERT by Google GPT-3 by OpenAI LaMDA by Google PaLM by Google LLaMA by Meta AI GPT-4 by OpenAI If this in-depth educational content is useful for you, you can subscribe to our AI research mailing list to be alerted when we release new material.

NLP 98

NLP BERT Large Language Models Natural Language Processing 98

Marktechpost

JULY 11, 2023

The recent advancement in deep learning made object segmentation a relatively easy problem to solve, though the challenging scenarios still remain an open issue. It is still an active area of research, and many sophisticated algorithms have been developed to tackle various problems. Check out the Paper.

Computer Vision 40

Computer Vision Categorization Deep Learning Robotics 40

Heartbeat

AUGUST 23, 2023

Carefully examining and categorizing these materials can be time-consuming and laborious. On the other hand, NLP-powered algorithms can quickly process and categorize massive amounts of data, minimizing the time necessary for initial case assessment and information retrieval. We pay our contributors, and we don’t sell ads.

NLP 52

NLP Natural Language Processing Algorithm Categorization 52

Viso.ai

DECEMBER 22, 2023

The Segment Anything Model (SAM), a recent innovation by Meta’s FAIR (Fundamental AI Research) lab, represents a pivotal shift in computer vision. The rise of SAM reflects a shift from foundational AI research to practical, scalable solutions for real-world applications.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Auto-classification 52

Topbots

DECEMBER 19, 2023

Presenters from various spheres of AI research shared their latest achievements, offering a window into cutting-edge AI developments. In this article, we delve into these talks, extracting and discussing the key takeaways and learnings, which are essential for understanding the current and future landscapes of AI innovation.

Computer Vision 52

Computer Vision Natural Language Processing AI Research AI Researcher 52

Viso.ai

FEBRUARY 13, 2024

While current AI technologies are often categorized as Narrow AI due to their specialization in specific tasks, AGI is regarded as the next stage in the evolutionary progression of artificial intelligence. General AI, or strong AI, can perform any type of smart task, just like a human.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Computer Vision Machine Learning 52

The MLOps Blog

FEBRUARY 22, 2024

Continual learning is a set of approaches to train machine learning models incrementally, using data samples only once as they arrive. Methods for continual learning can be categorized as regularization-based, architectural, and memory-based, each with specific advantages and drawbacks.

Continuous Learning 59

Continuous Learning Machine Learning ML Neural Network 59

Topbots

JULY 6, 2023

If you’d like to skip around, here are the language models we featured: GPT-3 by OpenAI LaMDA by Google PaLM by Google Flamingo by DeepMind BLIP-2 by Salesforce LLaMA by Meta AI GPT-4 by OpenAI If this in-depth educational content is useful for you, you can subscribe to our AI research mailing list to be alerted when we release new material.

LLM 52

LLM Large Language Models Natural Language Processing NLP 52