Machine Vision in 2020: In-Depth Guide

Machine vision is the eye of the industrial automation. Using cameras and sensors and computing power, machine vision techniques attempt to understand images and enable machines (robots or other industrial tools) to complete industrial tasks such as manufacturing and quality verification.

The working principle of machine vision consists of three different steps : capture, process and action. Machine vision is a key element of the industry 4.0. It helps industrial automation systems in numerous ways such as increasing efficiency by improving inventory and detecting faulty products and improving manufacturing quality. Read more


Image Recognition in 2020: In-depth Guide

Rise of smartphones, cheaper cameras and improved image recognition thanks to deep learning based approaches opened a new era for image recognition. Companies in different sectors such as automotive, gaming and e-commerce are adopting this technology.

While selecting an image recognition solution, its accuracy is the most important factor, however continuous learning, speed and flexibility can also be important criteria depending on the application. Tech giants like Amazon and Google as well as startups like Clarifai are offering image recognition services. Read more


Quantum Software of 2020: In-Depth Guide

Quantum computing is an emerging area with significant potential, especially in the area of optimization problems. Since the quantum computing works with a different mechanism than classical computing, the software approach for quantum computing is also different. There are 2 types of quantum software: quantum software for optimization problems and classical computing software enabling quantum computing.

For more information about quantum computing, feel free to read our article.

What is Quantum Software?

2 types of quantum software are: Read more


QC companies of 2020: Guide based on 4 ecosystem maps

Quantum computing, which has wide-ranging applications in optimization, research and cryptography, is driven by these organizations:

  • End-to-end solution providers
  • Quantum hardware builders
  • Software & services companies
  • Research labs
  • Companies that use quantum computers in their business (Not the focus of this article)
Quantum hardware is an emerging computing technology which relies on complex hardware. As in the early days of personal computing, there are companies specialized on hardware, software and end-to-end solutions. In the early days of computing, Apple built end-to-end solutions, while Microsoft specialized in software and many OEMs and IBM (Original Equipment Manufacturers) specialized in hardware and services. In addition to these, research labs (like the Bell Labs during the personal computing revolution) play an important role in driving research. In some market maps, technology enablers or subscription services are considered separate parts of the ecosystem, however we preferred to consider these as hardware or software providers. This division of companies is based on our research of 4 quantum computing ecosystem maps by leading companies in the space. If you want to know what quantum computing is before we dive in, feel free to read our comprehensive article on quantum computing. For more info on quantum computing (QC) companies:

Different Perspectives On Quantum Computing Ecosystem

In all 4 ecosystem maps on quantum computing, software and hardware vendors were identified. However, there are also significant differences between these ecosystem maps. BCG focuses on end-to-end providers, Tracxn includes research labs, Everest points out startups and Tractics focuses on use cases of quantum computing.

Because quantum computing is still a developing technology, it is difficult to draw definite limits in the ecosystem. When looking at quantum computing from different sides, different ecosystem maps can be prepared. Especially large companies can take place in different areas of the ecosystem at the same time. Read more


Quantum Annealing in 2020: Practical Quantum Computing

Quantum annealing is beginning to be commercially available with today’s technology. It can be used to solve optimization problems more effectively than traditional computers. It is the most promising quantum technology for companies that have urgent optimization problems which take too long for traditional computers to solve.

There are different approaches to build quantum computing hardware such as universal gate model quantum computers or quantum annealers. Universal gate model quantum computing, also called general purpose quantum computing, is the most powerful and flexible type of quantum computer but it is hard to build and maintain the stability of qubits. Quantum annealers are the least flexible type of quantum computer in terms of application but it is easy to build a stable quantum annealing processor and qubits. Read more