The ‘technology of the future’ could probably refer to quite a few things at the moment; IoT, artificial intelligence, automation to name a few. But in this instance, when I talk about the future of technology, I’m referring to deep learning.
Let’s start by reviewing what deep learning actually is. Simply put, deep learning is a subset of machine learning where artificial neural networks, algorithms inspired by the human brain, learn from large amounts of data. Sounds pretty sci-fi, right?
In fact, the power of deep learning is astonishing, even compared to the likes of artificial intelligence; it allows machines to solve complex problems even when using a data set that is very diverse, unstructured and inter-connected. The more deep learning algorithms learn, the better they perform.
But how exactly can this technology be harnessed? If it’s a technology of the future, how – and where – is it being used now? The answer is pretty much anywhere; anywhere where there is a problem that needs to be solved, deep learning can be introduced.
Here are just a few of the tasks that deep learning supports today and the list will just continue to grow as the algorithms continue to learn via the infusion of data.
- Virtual assistants
- Vision for driverless cars
- Chatbots and service bots
- Facial recognition
- Image colorisation
- Medicine and pharmaceuticals
- Personalised shopping and entertainment
Learn more about how deep learning is being harnessed here: https://www.forbes.com/sites/bernardmarr/2018/10/01/what-is-deep-learning-ai-a-simple-guide-with-8-practical-examples/#37a2942b8d4b