Blog
Welcome to the viso blog — our central destination for the latest updates, stories and industry news about visual deep learning and computer vision.
Capsule Networks: A New Approach to Deep Learning
Capsule Networks tries to solve the limitations of CNNs by preserving information, using a routing algorithm.
Latest Stories
Home Robots: the Stanford’s Roadmap Paper
Stanford University researchers, along with industry experts, delve into the evolving landscape of AI and home robotics.
Introduction to Spatial Transformer Networks in 2024
Explore the mechanics of Spatial Transformer Networks, their integration with Convolutional Neural Networks (CNNs), and real-world applications through insightful case studies.
AlexNet: A Revolutionary Deep Learning Architecture
AlexNet is a Image Classification model released in 2012 and the first model to use CNN based Deep Neural Network.
Foundation Models in Modern AI Development (2024 Guide)
Explore the 2024 Guide to Foundation Models in AI, delving into their definition, scope, and training processes. Discover practical use cases and applications across language models like GPT and BERT, vision models such as ResNET, and multimodal models like CLIP. Stay ahead with insights on emerging trends and future research in foundation models.
Action Localization: Everything You Need To Know
Action localization identifies and localizes human actions within video sequences, making them searchable, analyzable, and more meaningful.
AI Software: 17 Most Popular Products for 2024
List of the most popular AI software in 2024. We put together tools and enterprise AI platforms for businesses to adopt AI tech efficiently.
Machine Vision – What You Need to Know (Overview)
What is machine vision? An easy-to-understand guide to modern machine vision, how it works, and how it relates to computer vision.
Being a Computer Vision Engineer in 2024
Learn what computer vision engineers do, what skills are required to be a successful computer vision engineer, and the job outlook in 2023.
Why Computer Vision Is Difficult? (And How To Overcome)
Understanding why computer vision is difficult to implement helps to manage the complexity. 5 tips on how to overcome the challenges.
Edge Computing for Computer Vision: Reasons Why Cloud Is Not Enough
Learn why edge computing is essential to computer vision processes and what it does for computer vision applications.
TensorFlow Lite – Real-Time Computer Vision on Edge Devices (2024)
TensorFlow Lite is a lightweight machine learning library to power real-time computer vision with edge devices to solve real-world problems.
Vision Processing Unit (VPU) for AI Inference on the Edge
Vision Processing Unit (VPU) chips are optimized for inference with pre-trained deep learning models, powering computer vision applications.
About the viso blog
Computer Vision Expertise
The viso blog provides a wide range of visual examples, animations and videos to showcase the power of visual AI. We cover real-world use cases of Computer Vision and surprising case studies about businesses using AI vision.
The Latest Industry news
Our goal is to make it easier for professionals, beginners and AI enthusiasts to find resources around AI vision and visual deep learning technology. We cover state-of-the-art computer vision software, algorithms and hardware.
Company and Product
The viso blog is powered by viso.ai – the company behind the Computer Vision platform Viso Suite. The blog is designed to grow and change as we do, so as we introduce new products and technologies you can follow us and find all the latest news here.
