Microsoft CEO and Amazon Satya Nadella and Jeff Bezos
Due to the popularity of TensorFlow, it 'has a similar class called Keras, extremely popular. So this will bring MXNET and CNTK on the same level as TensorFlow, 'Lukas Biewald, founder of CrowdFlower (a startup that helps create applications that use machine learning to know when a job can be automated, when needed. humans made) said.
When it comes to Gluon, the cooperation between Amazon and Microsoft is an example of the phrase 'the enemy of the enemy is you'.
'Gluon is an attempt by Microsoft and Amazon to achieve influence with AI tools,' said a programmer.
We love TensorFlow
Matt Wood, technology expert at Amazon, still insists on Amazon not trying to beat Google's tool. 'We love TensorFlow (and many developers also use it on AWS),' he wrote on Hacker News.
'As with databases, we support multiple engines on AWS, some of us (like Gluon), some of others like PyTorch or TensorFlow. They are all top products. We also invest in different groups (and competing) to turn AWS into the best place to run popular engines, 'he added.
There is also a reason for Amazon to create a common home for competitors in popular technology branches: giving the company more control.
Microsoft and Amazon are still known to work together in AI. In August, they announced they would let two virtual assistants, Microsoft's Cortana and Amazon's Alexa, become more friendly.
Anyway, competition for creating easier-to-use AI tools for developers is also supported by Biewald.
trends in reducing investment costs for users and businesses such as turning desktop applications to the web, on-demand computing, saas service software ... are collectively referred to as virtual server computing (cloud computing).
fog computing extends the concept of cloud computing to a new level, making it an ideal for internet of things (iot) and other applications that require real-time interaction.
you no longer need to invest in expensive hardware or maintain your own server room. now, you can have access to computing power and storage when needed, thanks to cloud services.
the 'cloud computing' model of remote server-based data processing and results returned to the pc will incorporate 10 antivirus engines and two hackers to detect hackers to prevent the malicious code.
many people believe that when cloud computing becomes big, security solutions and anti-virus running on personal computers will soon fall into the 'afternoon market'.