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Tech

Deep learning aims to make computers mimic the human brain. It is “inspired by and based on the model of the human brain to create artificial neural networks for machines”. The aim is to make machines express themselves and act in a similar way to us.

There is no degree of passion about this topic that equals the one met with the professionals that develop intelligent machines. Therefore, we want to recommend you a specific article this week.

 

Working in deep learning goes beyond tasks, into enthusiasm

The article pointed out by one of our team members is co-authored by Ronald van Loon and Rodrigo Agundez. The latter is “very enthusiastic about the improvements that deep learning can offer”.

The focus here is on the importance of the technological progress we are witnessing in real time. The post presents as well the huge work involved in the back-end algorithms. As the author says:


Creating machines that are capable of understanding minute differences in words embedded in a context may seem like a very small thing, but requires a very large set of data and complex algorithms to execute.


The accuracy is extremely important in differentiating complex and successful algorithms from the rest. You will see how and why deep learning is superior to AI (Artificial Intelligence), by going through the original post.


Our take


Both the authors benefit from hands-on experience in the field, and share the same passion for advanced technology. This is specific to our team members, too. We can easily relate to their enthusiasm by replaying our own experiences.

 

The article we recommend also mentions how the ubiquitous connectivity that now links software engineers around the globe makes it easier for the cutting edge companies to hire talented developers. Having access to research and open source data, as well as enriching one’s experience continuously through each new project, really opens up the horizon.

 

Once again we feel elated about our field of work – and this is the basic premise for great things!

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