Deep Learning on Artificial Intelligence, and why it changes our lifes

At the core of this impact are the advancements of artificial intelligence, machine learning, and deep learning.

These change agents are ushering in a revolution that will fundamentally alter the way we live, work, and communicate akin to the industrial revolution – more specifically, AI is the new industrial revolution.

The most exciting and promising of these frontier technologies is the advancements happening in the deep learning space.

Deep Learning is an amazing tool that is helping numerous groups create exciting AI applications. It is helping us build self-driving cars, accurate speech recognition, computers that can understand images, forecasting methods for sales and marketing, driving advancements in healthcare, creating efficiencies in the power grid, improving agricultural yields, and helping us find solutions to climate change.

A handful of high-profile experiments came into the spotlight, including Microsoft Tay, Google’s DeepMind AlphaGo, and Facebook M and highlight the versatility of deep learning and the application of AI.

For instance, Google DeepMind has been used to master the game of Go, cut their data center energy bills by reducing power consumption by 15%, and even working with NHS to fight blindness. These experiments all rely on a technique known as deep learning, which attempts to mimic the layers of neurons in the brain’s neocortex.

Deep learning is a subset of a subset of artificial intelligence, which encompasses most logic and rule-based systems designed to solve problems. Within AI, you have machine learning, which uses a suite of algorithms to go through data to make and improve the decision making process. And, within machine learning you come to deep learning, which can make sense of data using multiple layers of abstraction.

During the training process, a deep neural network learns to discover useful patterns in the digital representation of data, like sounds and images. In particular, this is why we’re seeing more advancements for image recognition, machine translation, and natural language processing come from deep learning.

One example of deep learning in the wild is how Facebook can automatically organize photos, identify faces, and suggest which friends to tag. Or, how Google can programmatically translate 103 languages with extreme accuracy. In the next decade, AI will transform society. It will change what we do vs what we get computers to do for us.