Machine Learning for Transformers – Explained with Language Translation
Day by day the number of machine learning models is increasing at a pace. With this increasing rate, it is hard for beginners to choose an effective model to perform Natural Language Understanding (NLU) and Natural Language Generation (NLG) mechanisms. Researchers across the globe are working around the clock to achieve more progress in artificial …
Read MoreUnderstanding Images from Pixel Level with Semantic Segmentation
Image Segmentation is considered a vital task in Computer Vision – along with Object Detection – as it involves understanding what is given in the image at a pixel level. It provides a comprehensive description that includes the information of the object, category, position, and shape of the given image. There are various algorithms for …
Read MoreHarnessing AI for an Effective COVID Vaccine Rollout
AI (artificial intelligence) has been a vital practice since the early days of the COVID-19. Tracking active patients count, analyzing thousands of scientific research papers for definitive treatment options, and in vaccine development processes AI has been widely used. The application of next-generation technology frameworks and digital tools not only helped in fastening healthcare operational …
Read MoreHow Machine Learning Can Ace Influencer Marketing Game?
Influencer marketing has grown significantly in the past few years. Due to the pervasive use of social media channels to promote products and services, influencer marketing can be considered as a new-age digital revolution. With a digitally empowered general populace, the CPG industry is now able to authenticate and communicate brand stories across distinct socials …
Read MoreSentiment Analysis -Constitute Customer Emotions For Better Service
The increasing demand to channelize customers’ emotions along with their positive and negative reactions for optimizing operations and increasing revenues. Analyzing these reactions and extracting intelligence from them will help brands gauge the ROI of their PR and marketing efforts. And this era of the internet is making it far much easier to collect opinions …
Read MoreComputer Vision-Navigating The Future Of Autonomous Vehicles
The prominence for computer vision applications in the autonomous vehicles segment has witnessed a tremendous growth in recent years. Classifying and detecting objects, signs, humans, other vehicles on the path, marking 3D maps, real-time traffic insights, etc., are a few research advancements in the field of computer vision. And these advancements are driving the growth …
Read MoreComputer Vision in Manufacturing for Industrial Automation & Transformation
Though various forms of computer vision (A.K.A machine vision) are used in manufacturing for decades, the recent advancements in machine learning and computer vision are increasing the demand and need for computer vision applications on the shop floor. According to Grand view research, the global market for computer vision technology is expected to reach USD …
Read MoreDisruptive Machine Learning Trends For 2022
Machine Learning (ML) is one of the most disruptive trends of all time. With an increasing number of organizations indulging it today, Machine Learning (ML) technology is becoming one of the most powerful applications. While businesses are adopting transformation, it subsequently is speeding up the growth of ML and other supporting tools of ML. As …
Read MoreBuilding Smart Cities: The Role of Artificial Intelligence & Machine Learning
Smart cities are a new-age revolution to maximize the utilization of technology, optimize the consumption of natural resources, and human capital to fuel sustainable economic growth and participatory governance. Smart cities are mostly employed across highly populated urban areas in major countries. For instance, these cities adopt a combination of cameras, sensors, and artificial intelligence …
Read MoreComputer Vision for Smart and Sustainable Agriculture
The recent advancements in Computer Vision technology are upgrading the overview of its applications in agriculture. The combination of Artificial Intelligence, Computer Vision, and Machine Vision is making the world of farming more advanced than humankind ever discovered. Employing Agri-Tech is disrupting the traditional dynamics of farming by helping farmers in better crop yielding. Using …
Read MoreFace Recognition: The Emerging Tech of Biometrics
Machine Learning for OCR: Creating a Modern OCR Pipeline
Image Similarity Using Deep CNN: Theory to Code
Image Annotation: Guide to Create Training Data for Computer Vision
Sentiment Analysis: Analyze Your Social Audiences’ Opinions
Top 10 Ways Deep Learning Is Scaling Computer Vision Applications
No-Code ML Platforms: The Future of Application Development
Deep CNN for Image Classification: How it Makes a Difference
Text-Based Image Retrieval: Using Deep Learning
Object Detection – A Simplified Solution In 2021
Machine Learning for Transformers – Explained with Language Translation
Understanding Images from Pixel Level with Semantic Segmentation
Harnessing AI for an Effective COVID Vaccine Rollout
How Machine Learning Can Ace Influencer Marketing Game?
Sentiment Analysis -Constitute Customer Emotions For Better Service
Computer Vision-Navigating The Future Of Autonomous Vehicles
Computer Vision in Manufacturing for Industrial Automation & Transformation
Disruptive Machine Learning Trends For 2022
Building Smart Cities: The Role of Artificial Intelligence & Machine Learning
Computer Vision for Smart and Sustainable Agriculture
Revolutionizing Retail With Computer Vision & Deep Learning
Extracting Business Value With Image Processing
OCR & Computer Vision -Creating a Modern Algorithm​
Intertwining Machine Learning and APIs
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