Unite.AI

NOVEMBER 6, 2023

In recent years, Generative AI has shown promising results in solving complex AI tasks. Modern AI models like ChatGPT , Bard , LLaMA , DALL-E.3 Moreover, Multimodal AI techniques have emerged, capable of processing multiple data modalities, i.e., text, images, audio, and videos simultaneously.

Machine Learning 204

Machine Learning Neural Network Deep Learning Convolutional Neural Networks 204

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. As a result, AI improves productivity, reduces human error, and facilitates data-driven decision-making for all stakeholders.

Convolutional Neural Networks 289

Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 289

Flipboard

FEBRUARY 7, 2025

An AI algorithm may help identify breast cancer on MRI scans 1 year earlier than current methods allow, according to research published in Academic Radiology.Researchers trained the convolutional neural network AI model using MRI from 52,598 breasts.

Convolutional Neural Networks 109

Convolutional Neural Networks Neural Network Algorithm AI Modeling 109

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. Signup Now

Python 130

Python Convolutional Neural Networks Neural Network OpenAI 130

AI Weekly

AUGUST 17, 2023

nytimes.com 2023 AI glossary AI has the advertising industry bewitched, with agencies and clients alike clamoring to understand what AI can do for their strategies and marketing stunts. yahoo.com Research Novel physics-encoded AI model helps to learn spatiotemporal dynamics Prof.

Convolutional Neural Networks 245

Convolutional Neural Networks Robotics Artificial Intelligence Artificial Intelligence 245

AWS Machine Learning Blog

MARCH 21, 2025

In this post, we explore how you can use these multi-modal generative AI models to streamline the management of technical documents. Multi-modal generative AI models work well with text extraction from image files, so we start by converting the PDF to a collection of images, one for each page. samples/2003.10304/page_2.png"

Metadata 110

Metadata Convolutional Neural Networks Generative AI Data Scientist 110

Marktechpost

MARCH 19, 2024

Traditional methods like 3D convolutional neural networks (CNNs) and video transformers have made significant strides but often struggle to effectively address both local redundancy and global dependencies. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup. If you like our work, you will love our newsletter.

Convolutional Neural Networks 124

Convolutional Neural Networks AI Modeling Neural Network Large Language Models 124

Marktechpost

SEPTEMBER 12, 2023

It leverages the capabilities of deep learning models, such as Generative Adversarial Networks (GANs) and Convolutional Neural Networks (CNNs). This AI Model Uses Image-to-Image Translation to Bring Ancient Fossils to Life appeared first on MarkTechPost. The post Is The Wait for Jurassic Park Over?

Convolutional Neural Networks 135

Convolutional Neural Networks AI Modeling Computer Vision Neural Network 135

Unite.AI

OCTOBER 22, 2024

From recommending products online to diagnosing medical conditions, AI is everywhere. As AI models become more complex, they demand more computational power, putting a strain on hardware and driving up costs. For example, as model parameters increase, computational demands can increase by a factor of 100 or more.

Neural Network 147

Neural Network Convolutional Neural Networks Deep Learning Natural Language Processing 147

Marktechpost

JANUARY 12, 2024

Models tailored for 2D images, such as those based on convolutional neural networks, need to be revised for interpreting complex 3D environments. Models designed for 3D spatial data, like point cloud processors, often fail to effectively leverage the rich detail available in 2D imagery.

Convolutional Neural Networks 126

Convolutional Neural Networks Computer Vision AI Modeling Neural Network 126

Viso.ai

DECEMBER 19, 2023

Today, the use of convolutional neural networks (CNN) is the state-of-the-art method for image classification. The process of creating such labeled data to train AI models needs tedious human work — for instance, to annotate regular traffic situations in autonomous driving. How Does Image Classification Work?

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 98

AWS Machine Learning Blog

NOVEMBER 26, 2024

However, LLMs such as Anthropic’s Claude 3 Sonnet on Amazon Bedrock can also perform these tasks using zero-shot prompting, which refers to a prompting technique to give a task to the model without providing specific examples or training for that specific task. The image was generated using the Stability AI model (SDXL 1.0)

Convolutional Neural Networks 97

Convolutional Neural Networks LLM Metadata Explainability 97

Unite.AI

SEPTEMBER 9, 2024

Central to this development was a convolutional neural network, trained using Q-learning , which processed raw screen pixels and converted them into game-specific actions based on the current state. The researchers applied this model to seven Atari 2600 games without modifying the architecture or learning algorithm.

Convolutional Neural Networks 162

Convolutional Neural Networks Generative AI Neural Network AI 162

Viso.ai

OCTOBER 9, 2024

Emotion AI, also called Affective Computing, is a rapidly growing branch of Artificial Intelligence allowing computers to analyze and understand human language nonverbal signs such as facial expressions, body language, gestures, and voice tones to assess their emotional state. There are different methods to detect numerous facial features.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Emotion AI 98

Marktechpost

JULY 31, 2024

TensorFlow is a powerful open-source framework for building and deploying machine learning models. Learning TensorFlow enables you to create sophisticated neural networks for tasks like image recognition, natural language processing, and predictive analytics.

Neural Network 106

Neural Network Auto-classification Natural Language Processing Deep Learning 106

NVIDIA

OCTOBER 4, 2023

The ALERTCalifornia initiative, a collaboration between California’s wildfire fighting agency CAL FIRE and the University of California, San Diego, uses advanced AI developed by DigitalPath. So Ethan Higgins, the company’s system architect, turned to AI.

Convolutional Neural Networks 109

Convolutional Neural Networks Neural Network AI AI 109

Marktechpost

NOVEMBER 21, 2023

Their pioneering breakthrough, named Senseiver, showcases a neural network that achieves a remarkable feat: representing extensive data with minimal computational resources. The team developed a neural network that allows them to represent a large system in a very compact way.

Convolutional Neural Networks 103

Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 103

Unite.AI

AUGUST 2, 2023

These limitations are a major issue why an average human mind is able to learn from a single type of data much more effectively when compared to an AI model that relies on separate models & training data to distinguish between an image, text, and speech. They require a high amount of computational power.

Computer Vision 246

Computer Vision Algorithm Natural Language Processing Convolutional Neural Networks 246

Viso.ai

DECEMBER 1, 2023

As Artificial Intelligence (AI) models become more important and widespread in almost every sector, it is increasingly important for businesses to understand how these models work and the potential implications of using them. This guide will provide an overview of AI models and their various applications.

AI Modeling 98

AI Modeling Neural Network Deep Learning Computer Vision 98

Viso.ai

DECEMBER 10, 2023

Later in this article, we will cover the best-performing deep learning algorithms and AI models for image recognition. The most popular machine learning method is deep learning, where multiple hidden layers of a neural network are used in a model.

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

Marktechpost

JANUARY 15, 2025

It employs artificial neural networks with multiple layershence the term deepto model intricate patterns in data. Unlike traditional machine learning, which relies heavily on manual feature extraction, deep learning models learn hierarchical representations on their own.

Deep Learning 85

Deep Learning Neural Network Convolutional Neural Networks Natural Language Processing 85

Mlearning.ai

JULY 17, 2023

How taking inspiration from the brain can help us create Neural Networks. Data Scientists spend a lot of time and resources in improving the architecture of their AI Models. As such, there is a lot of research into figuring out different architectures and how different design decisions impact the performance of models.

Neural Network 52

Neural Network Convolutional Neural Networks Machine Learning Data Scientist 52

Marktechpost

JUNE 12, 2024

By applying advanced ML techniques, including deep neural networks, to these data sets, researchers can perform tasks like automated disease classification, digital image recognition, and virtual drug screening with unprecedented accuracy.

Convolutional Neural Networks 101

Convolutional Neural Networks Neural Network AI AI 101

Marktechpost

JUNE 22, 2023

Like diffusion models, Paella removes varying degrees of noise from tokens representing an image and employs them to generate a new image. The model was trained on 900 million image-text pairs from LAION-5B aesthetic dataset.

Convolutional Neural Networks 107

Convolutional Neural Networks AI Modeling Neural Network AI Tools 107

Unite.AI

FEBRUARY 21, 2024

What are Large Vision Models (LVMs)? LVMs are advanced AI models that process and interpret visual data, typically images or videos. The model learns by adjusting its parameters to minimize the difference between its predictions and the actual labels.

Computer Vision 147

Computer Vision Convolutional Neural Networks Neural Network OpenAI 147

Unite.AI

AUGUST 29, 2023

In the past few years, Artificial Intelligence (AI) and Machine Learning (ML) have witnessed a meteoric rise in popularity and applications, not only in the industry but also in academia. To tackle the issue, structured pruning and integer quantization for RNN or Recurrent Neural Networks speech enhancement model were deployed.

Neural Network 246

Neural Network ML Algorithm Auto-classification 246

Mlearning.ai

APRIL 8, 2023

These included the Support vector machine (SVM) based models. Over the years, we evolved that to solving NLP use cases by adopting Neural Network-based algorithms loosely based on the structure and function of a human brain. Word embedding is a way to represent words as numbers in a neural network for language tasks.

NLP 98

NLP Neural Network Natural Language Processing Convolutional Neural Networks 98

NVIDIA

OCTOBER 18, 2023

Powerful generative AI models and cloud-native APIs and microservices are coming to the edge. Generative AI is bringing the power of transformer models and large language models to virtually every industry. Generative AI is expected to add $10.5 More than 1.2

Robotics 127

Robotics Generative AI Convolutional Neural Networks Neural Network 127

AssemblyAI

SEPTEMBER 22, 2023

In August – Meta released a tool for AI-generated audio named AudioCraft and open-sourced all of its underlying models, including MusicGen. Last week – StabilityAI launched StableAudio , a subscription-based platform for creating music with AI models.

Convolutional Neural Networks 246

Convolutional Neural Networks AI AI Data Scarcity 246

Towards AI

SEPTEMBER 1, 2023

The upside of the simplifications is that it allows us to apply more basic and faster AI models. The downside is that, when reducing the dimensionality this way, there’s an intrinsic loss of information, and the models become less generalizable when facing data outside of the design space.

Deep Learning 105

Deep Learning Convolutional Neural Networks Neural Network Machine Learning 105

Marktechpost

JUNE 27, 2023

Artificial intelligence (AI) has made considerable advances over the past few years, becoming more proficient at activities previously only performed by humans. Yet, hallucination is a problem that has become a big obstacle for AI. They rely on massive visual training data in convolutional neural networks.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence AI Chatbots Chatbots 98

NVIDIA

OCTOBER 26, 2023

The paper describes a model, called DeepSeeColor, that uses a sequence of two convolutional neural networks to reduce backscatter and correct colors in real time on the NVIDIA Jetson Orin NX while undersea. candidate at MIT and AI developer at WARPLab. candidate in the MIT-WHOI joint program.

Robotics 115

Robotics Deep Learning Convolutional Neural Networks Neural Network 115

Viso.ai

FEBRUARY 25, 2024

Following that, the development of Convolutional Neural Networks (CNNs) was a watershed moment in the field. The introduction of the Super-Resolution Convolutional Neural Network (SRCNN) later demonstrated that deep learning models could outperform traditional image resolution methods. CT scans ).

Computer Vision 98

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 98

Marktechpost

NOVEMBER 21, 2024

Foundational AI models, characterized by their extensive training data and remarkable adaptability, are proving to be exceptionally effective in utilizing accelerated computing for quantum computing applications. The emergence of generative artificial intelligence paradigms is now further expanding the computational landscape.

Artificial Intelligence 85

Artificial Intelligence Artificial Intelligence Neural Network Convolutional Neural Networks 85

Topbots

OCTOBER 4, 2023

Predictive AI is used to predict future events or outcomes based on historical data. For example, a predictive AI model can be trained on a dataset of customer purchase history data and then used to predict which customers are most likely to churn in the next month. virtual models for advertising campaigns).

Generative AI 119

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 119

NYU Center for Data Science

NOVEMBER 23, 2022

A new study “Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs ” by CDS researchers has developed a new approach to the early detection of Alzheimer’s using 3D deep convolutional neural networks.

Deep Learning 52

Deep Learning Convolutional Neural Networks Neural Network Machine Learning 52

Marktechpost

DECEMBER 11, 2024

By integrating satellite data, dynamic global vegetation models, and ocean model emulators, the research team developed a near-instantaneous carbon sink model capable of predicting carbon budgets with unprecedented speed and accuracy.

Convolutional Neural Networks 75

Convolutional Neural Networks Neural Network AI AI 75