Glossary

A Generative Adversarial Network (GAN) is a deep learning framework that generates realistic synthetic data by pitting two neural networks against each other. NYRIS leverages GANs to enhance visual search technology, enabling industries like manufacturing, e-commerce, and retail to benefit from improved image recognition and synthetic data generation.

Zero-Shot Learning is an advanced machine learning approach that enables AI systems to recognize and classify objects or concepts they have never seen before, transforming visual search, image recognition, and product discovery for industries like manufacturing, e-commerce, and retail. NYRIS leverages Zero-Shot Learning to deliver fast, scalable, and accurate solutions for enterprise clients.

One-Shot Learning is an advanced machine learning approach that enables AI systems to recognize new objects or patterns from just a single example, revolutionizing visual search technology for industries like manufacturing, e-commerce, and retail. NYRIS leverages One-Shot Learning to deliver rapid, accurate image recognition and product identification at scale.

Few-Shot Learning is an advanced AI technique that enables models to recognize new objects or patterns from just a handful of examples. NYRIS leverages Few-Shot Learning to deliver rapid, accurate visual search solutions for manufacturing, e-commerce, and retail.

Self-supervised learning is an advanced AI technique where models learn from unlabeled data by generating their own labels, significantly reducing manual annotation costs. NYRIS leverages self-supervised learning to enhance visual search technology and image recognition for industries like manufacturing, e-commerce, and retail.

Domain Adaptation is a machine learning technique that enables AI models to perform accurately when applied to new data environments, bridging the gap between different domains. NYRIS leverages domain adaptation to enhance visual search technology and image recognition for manufacturing, e-commerce, and retail.

Fine-Tuning is a machine learning technique that adapts pre-trained models to specialized tasks, improving accuracy and efficiency in visual search technology, image recognition, and AI-powered product discovery. NYRIS leverages fine-tuning to deliver customized solutions for manufacturing, e-commerce, and retail.

Scale-Invariant Feature Transform (SIFT) is a powerful image recognition algorithm that detects and describes local features in images, enabling robust visual search across varying scales and rotations. NYRIS leverages SIFT to enhance precision in manufacturing, e-commerce, and retail applications.

Vision Transformer (ViT) is a state-of-the-art deep learning model for image recognition, leveraging transformer architectures to deliver high accuracy and scalability. NYRIS integrates ViT technology to power visual search solutions for industries like manufacturing, e-commerce, and retail.

A Convolutional Neural Network (CNN) is a deep learning architecture designed for image recognition and visual search technology. NYRIS leverages CNNs to deliver fast, accurate identification solutions for industries like manufacturing, e-commerce, and retail.

A file importer is a tool that enables seamless integration of external data files into a system or application. NYRIS uses file importers to streamline data ingestion for its visual search and AI solutions, enhancing efficiency across industries like manufacturing, e-commerce, and retail.

Object segmentation is a computer vision technique that divides an image into distinct regions corresponding to individual objects. NYRIS leverages object segmentation to enhance visual search technology for industries such as manufacturing, e-commerce, and retail.

Data integration involves combining data from multiple sources into a unified view, enabling seamless analysis and decision-making. NYRIS uses data integration to enhance visual search technology for industries like manufacturing, e-commerce, and retail.

Natural Language Processing (NLP) is a branch of AI that enables machines to understand and interact with human language. NYRIS leverages NLP to enhance visual search and streamline text recognition for industries like manufacturing, e-commerce, and retail.

Data mining is the process of extracting valuable insights from large datasets using advanced algorithms. NYRIS leverages data mining to enhance visual search technology and drive innovation across industries like manufacturing, e-commerce, and retail.

CAD models are digital representations of physical objects used in design and manufacturing. NYRIS leverages CAD models to create synthetic data for AI training, enabling precise visual search and automation solutions.

Neural networks are advanced machine learning models inspired by biological neural systems, enabling computers to recognize patterns, process complex data, and drive innovations in visual search, synthetic data generation, and industrial automation. NYRIS leverages neural networks to power sub-second product identification and AI-driven solutions for manufacturing, retail, and e-commerce.

Optical Character Recognition (OCR) converts text from images into machine-readable data, enabling automated document processing and product identification—key to NYRIS's visual search solutions for manufacturing and e-commerce.

Augmented Reality (AR) Integration overlays digital information onto the real world, enhancing user experiences and operational efficiency. NYRIS leverages AR integration to optimize visual search and industrial solutions.

Synthetic Data Generation creates artificial data to train AI models, enhancing accuracy and reducing data collection costs. NYRIS leverages synthetic data to optimize visual search and automation across industries.

Big data refers to extremely large and complex datasets that require advanced technologies to process and analyze. NYRIS utilizes big data analytics to optimize visual search and AI solutions for various industries.

Voice search enables users to find information using spoken commands, improving accessibility and efficiency. NYRIS integrates voice search to enhance visual product discovery and industrial solutions.

API integration connects different software systems, enabling seamless data exchange and automated workflows. NYRIS utilizes API integration to optimize visual search and AI solutions for various industries.

Semantic search enhances search accuracy by understanding user intent and contextual meaning. NYRIS utilizes semantic search to power visual product discovery and industrial solutions with unmatched precision.

Text recognition, also known as optical character recognition (OCR), converts images of text into machine-readable data, automating tasks and enhancing data accessibility. NYRIS integrates text recognition to optimize visual search and product identification.

A visual search engine uses images as input to find similar images or products, streamlining discovery and enhancing user experience. NYRIS's visual search engine processes 500 million products in under a second.

Synthetic data is artificially generated information used to train AI systems, offering privacy-safe, scalable alternatives to real-world data. NYRIS leverages CAD models to create photo-realistic synthetic datasets for industrial visual search applications, achieving 99.7% recognition accuracy.

Structured data organizes information for easy search and analysis, enhancing SEO and data-driven decision-making. NYRIS utilizes structured data to optimize visual search and AI solutions for various industries.

Object detection identifies and locates objects within images or videos, enabling automation in various industries. NYRIS utilizes object detection to optimize visual search and AI-driven solutions.

Feature extraction identifies key characteristics in data, enabling precise analysis and automation. NYRIS uses this technology to enhance visual search and synthetic data solutions for manufacturing, retail, and e-commerce.

Discover how image recognition technology powers NYRIS's visual search solutions, enabling precise object identification and industrial automation. Learn about its applications in manufacturing, retail, and AI-driven synthetic data generation.

Explore how deep learning drives NYRIS's AI solutions, enabling sub-second visual search, synthetic data generation, and industrial automation. Discover applications in manufacturing, e-commerce, and predictive maintenance.

Predictive Maintenance uses AI to forecast equipment failures, reducing downtime and costs. NYRIS integrates this technology to optimize manufacturing and industrial processes with 99.7% accuracy.

Machine Learning (ML) enables systems to learn from data, powering NYRIS's AI-driven visual search, synthetic data generation, and industrial automation with 99.7% accuracy across 500 million products.

Computer Vision enables machines to interpret visual data, powering NYRIS's AI-driven solutions for industrial automation, retail inventory management, and e-commerce product discovery with 99.7% accuracy.

Discover how visual search technology revolutionizes product discovery and industrial maintenance. Learn how NYRIS's AI-powered visual search engine processes 500 million items in under 1 second, driving efficiency across manufacturing, retail, and e-commerce sectors.