Viso.ai

MAY 17, 2024

Neural Networks have changed the way we perform model training. Neural networks, sometimes referred to as Neural Nets, need large datasets for efficient training. So, what if we have a neural network that can adapt itself to new data and has less complexity? Get a demo here. About us : Viso.ai

Neural Network 52

Neural Network Deep Learning Computer Vision Artificial Intelligence 52

Viso.ai

FEBRUARY 21, 2024

Graph Neural Networks (GNNs) are a type of neural network designed to directly operate on graphs, a data structure consisting of nodes (vertices) and edges connecting them. In this article, we’ll start with a gentle introduction to Graph Neural Networks and follow with a comprehensive technical deep dive.

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Viso.ai

JANUARY 2, 2024

In the following, we will explore Convolutional Neural Networks (CNNs), a key element in computer vision and image processing. Whether you’re a beginner or an experienced practitioner, this guide will provide insights into the mechanics of artificial neural networks and their applications. Howard et al.

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IBM Journey to AI blog

NOVEMBER 29, 2023

While some use cases warrant lower fidelity synthetic data, like illustrative data for creating realistic product demos, internal training assets or certain AI model training scenarios, other use cases require a high degree of fidelity, such as when synthesizing patient data in healthcare. How to get started with synthetic data in watsonx.ai

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Data Scientist Machine Learning Neural Network Data Quality 252

NVIDIA

JULY 3, 2024

How It All BeGAN GANs are deep learning models that involve two complementary neural networks: a generator and a discriminator. These neural networks compete against each other. As its neural networks keep challenging each other, GANs get better and better at making realistic-looking samples.

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Generative AI Neural Network Deep Learning AI 107

PyImageSearch

DECEMBER 19, 2022

Table of Contents OAK-D: Understanding and Running Neural Network Inference with DepthAI API Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? It combines depth perception with neural network inference through an easy-to-use Python API.

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IBM Journey to AI blog

DECEMBER 4, 2023

Advacements in machine learning algorithms, neural networks and the computational power of generative AI, combined with human expertise, intuition and creativity, can unlock new possibilities and achieve levels of innovation that were previously unimaginable.

Generative AI 170

Generative AI Neural Network Automation AI 170

NVIDIA

MAY 1, 2024

A new update , first demoed at GTC in March, expands the power of this RTX-accelerated chatbot app with additional features and support for new models. The NVIDIA RTX Remix beta update brings NVIDIA DLSS 3.5 with Ray Reconstruction to the modding platform for even more impressive real-time ray tracing.

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AI Modeling Neural Network Chatbots Metadata 134

NVIDIA

JUNE 1, 2023

Neuralangelo, a new AI model by NVIDIA Research for 3D reconstruction using neural networks, turns 2D video clips into detailed 3D structures — generating lifelike virtual replicas of buildings, sculptures and other real-world objects.

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Neural Network Robotics Computer Vision AI Modeling 145

ODSC - Open Data Science

FEBRUARY 13, 2023

How Deep Neural Networks Work and How We Put Them to Work at Facebook Deep learning is the technology driving today’s artificial intelligence boom. We will take a gentle, detailed tour through a multilayer fully-connected neural network, backpropagation, and a convolutional neural network.

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Neural Network Convolutional Neural Networks Machine Learning Deep Learning 98

Viso.ai

OCTOBER 9, 2024

Get a personalized demo for your organization. Hence, deep neural network face recognition and visual Emotion AI analyze facial appearances in images and videos using computer vision technology to analyze an individual’s emotional status. About us: Viso.ai provides the end-to-end computer vision platform Viso Suite.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Emotion AI 98

ODSC - Open Data Science

APRIL 1, 2025

LLM & RAG Evaluation Playbook for Production Apps Paul Iusztin, Senior AI Engineer / Founder at Decoding ML Go beyond toy demos and learn how to rigorously evaluate LLM + RAG systems in production. This hands-on session shows how to combine LLMs and neural networks for efficient, scalable text classification.

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Neural Network LLM Software Engineer AI 52

Marktechpost

OCTOBER 19, 2024

Over time, trackers have incorporated transformer and neural network-based designs to track individual and multiple points simultaneously. However, these neural networks could be fully exploited only with high-quality training data. Check out the Paper , Code , Demo , and Project.

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Neural Network AI AI ML 107

Marktechpost

MAY 30, 2024

It covers how to develop NLP projects using neural networks with Vertex AI and TensorFlow. It includes lessons on vector search and text embeddings, practical demos, and a hands-on lab. Natural Language Processing on Google Cloud This course introduces Google Cloud products and solutions for solving NLP problems.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 130

Viso.ai

OCTOBER 10, 2024

Get a demo for your organization. In supervised learning, images are annotated to train neural networks – Image Annotation with Viso Suite What Is the Goal of Pattern Recognition? The third major approach is based on the technology of artificial neural networks ( ANN ), named Neural Pattern Recognition.

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Viso.ai

DECEMBER 19, 2023

Today, the use of convolutional neural networks (CNN) is the state-of-the-art method for image classification. Get a demo for your company. Convolutional Neural Network (CNN, or ConvNet) is a special type of multi-layer neural network inspired by the mechanism of the optical and neural systems of humans.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 98

Viso.ai

DECEMBER 10, 2023

Get a personalized demo. The most popular machine learning method is deep learning, where multiple hidden layers of a neural network are used in a model. Neural networks need those training images from an acquired dataset to create perceptions of how certain classes look. link] What is Image Recognition?

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Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

Towards AI

AUGUST 6, 2024

Gemma Scope You can check out a demo of Gemma Scope at [link] To understand Gemma Scope, lets dive into the natural challenges of interpretability in foundation models. As the language model processes text, activations in its neural network represent various increasingly complex concepts, also known as ‘features.’

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Marktechpost

OCTOBER 7, 2024

Existing methods for dense geometry prediction typically rely on supervised learning approaches that use convolutional neural networks (CNNs) or transformer architectures. Check out the Paper and Demo. Its impressive zero-shot performance highlights its potential as a visual foundation model for a wide range of applications.

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Convolutional Neural Networks Computer Vision Neural Network Robotics 103

Artificial Corner

MARCH 25, 2025

After going viral on X and impressing analysts with its live demos, Manus sent a clear signal to the West: China could soon lead not only in conversational AI, but in task-oriented AI as well. However, the future of AI could be accelerated by technologies like quantum optimization and quantum neural networks.

Chatbots 59

Chatbots AI AI Neural Network 59

NVIDIA

APRIL 10, 2024

A foundation model is an AI neural network trained on immense amounts of raw data, generally with unsupervised learning. Mistral and Llama 2 are available in the NVIDIA ChatRTX tech demo, running on RTX PCs and workstations. Skyscrapers start with strong foundations. The same goes for apps powered by AI. Hello, world, indeed.

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The MLOps Blog

NOVEMBER 14, 2023

Example of a deep learning visualization: small convolutional neural network CNN, notice how the thickness of the colorful lines indicates the weight of the neural pathways | Source How is deep learning visualization different from traditional ML visualization? Let’s take a computer vision model as an example.

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Deep Learning Neural Network Convolutional Neural Networks Data Scientist 111

NVIDIA

OCTOBER 12, 2023

Lux Aeterna Explores Generative AI for Visual Effects Emmy Award-winning independent visual effects studio Lux Aeterna — which is using gen AI and neural networks for VFX production — deployed its funds to develop a generative AI-powered text-to-image toolkit for creating maps, or 2D images used to represent aspects of a scene, object or effect.

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Viso.ai

DECEMBER 3, 2023

Get the whitepaper and a demo for your company. Hence, rapid development in deep convolutional neural networks (CNN) and GPU’s enhanced computing power are the main drivers behind the great advancement of computer vision based object detection. What is Object Detection? The latest evolution is the granulated RCNN (G-RCNN).

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Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

The MLOps Blog

DECEMBER 19, 2024

Inductive biases affect which solution the neural network converges to, such as the model architecture or the optimization algorithm. For example, Stochastic Gradient Descent (SGD) favors neural networks with minimum-norm weights. In their Neural Networks and the Chomsky Hierarchy paper published in 2023, Deltang et al.

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Neural Network Explainability Natural Language Processing LLM 64

NVIDIA

JANUARY 6, 2025

NVIDIA Cosmos , a platform for accelerating physical AI development, introduces a family of world foundation models neural networks that can predict and generate physics-aware videos of the future state of a virtual environment to help developers build next-generation robots and autonomous vehicles (AVs).

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AI Development AI Developer Robotics Neural Network 140

Marktechpost

JUNE 18, 2024

The primary challenge lies in developing a single neural network capable of handling a broad spectrum of tasks and modalities while maintaining high performance across all domains. See the demo code, sample results, and the tokenizers of diverse modalities on the website.

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AI Modeling Metadata Large Language Models Neural Network 122

Viso.ai

DECEMBER 1, 2023

Get the Whitepaper or a Demo. A deep learning model, or a DL model, is a neural network that has been trained to learn how to perform a task, such as recognizing objects in digital images and videos, or understanding human speech. To learn more about this AI model, read our guide about how Deep Neural Network models work.

AI Modeling 98

AI Modeling Neural Network Deep Learning Computer Vision 98

Viso.ai

OCTOBER 15, 2024

Get a personal demo. However, in recent years, human pose estimation accuracy achieved great breakthroughs with Convolutional Neural Networks (CNNs). It first extracts feature maps from a picture through a Convolutional Neural Network (CNN). Get in touch and request a demo for your organization.

Convolutional Neural Networks 98

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Marktechpost

JULY 17, 2023

It is especially appropriate for novices because it enables speedy neural network model construction while offering backend help. OpenVINO A comprehensive computer vision tool, OpenVINO (Open Visual Inference and Neural Network Optimization), helps create software that simulates human vision.

Computer Vision 98

Computer Vision Neural Network Machine Learning Deep Learning 98

Topbots

DECEMBER 5, 2023

PaLM-E: An Embodied Multimodal Language Model (research paper) PaLM-E (demos) PaLM-E (blog post) Where can you get implementation code? Visual Instruction Tuning (research paper) LLaVA: Large Language and Vision Assistant (blog post with demos) Where can you get implementation code? Where to learn more about this research?

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AI Researcher AI Research Natural Language Processing Neural Network 112

NVIDIA

JUNE 5, 2024

NVIDIA unveiled Project G-Assist , an RTX-powered AI-assistant technology demo that provides context-aware help for PC games and apps. The integration is being demoed on the COMPUTEX show floor. with Ray Reconstruction. The new NVIDIA app beta update adds 120 frames per second AV1 video capture and one-click performance-tuning.

Neural Network 96

Neural Network AI AI AI Tools 96

Viso.ai

DECEMBER 1, 2024

Get a demo. Camera-based mask detection Tumor Detection Brain tumors can be seen in MRI scans and are often detected using deep neural networks. Automatic image-based plant disease severity estimation using Deep convolutional neural network (CNN) applications was developed, for example, to identify apple black rot.

Computer Vision 98

Computer Vision Convolutional Neural Networks Deep Learning Neural Network 98

Viso.ai

FEBRUARY 25, 2024

To learn more, book a demo. 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.

Computer Vision 98

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 98

ODSC - Open Data Science

MARCH 10, 2025

This hands-on workshop explores how to efficiently combine LLM APIs with open-source tools to create labeled datasets, generate vector embeddings, and train neural network classifiers. Well also explore speculative decoding, a game-changing approach that predicts words ahead of time for faster responses.

Data Scientist 52

Data Scientist Data Science LLM Machine Learning 52

TheSequence

DECEMBER 10, 2023

As George Hotz succinctly put it : 'Google released a press release and a fake demo. million to build a new form of neural networks. One is more commercial and polished, the other more scrappy and hacker-ish. Now you can do it right from the Zilliz Cloud vector database platform. AMD unveiled its new Instinct MI300 GPU.

LLM 111

LLM Neural Network Generative AI ML 111

Bugra Akyildiz

FEBRUARY 26, 2023

Arxiv integrates Hugging Face Spaces through a Demo tab that includes links to demos created by the community or the authors themselves. By going to the Demos tab of the paper in the arXiv categories of computer science, statistics, or electrical engineering and systems science, open source demos can be observed from the HF Spaces.

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