Deep learning is an extension to the wider-scale of Artificial Intelligence, transforming the way in which we work and live. Deep Learning is a phenomenon that is now becoming a key driver in applications and technologies that are inspired by a human element. According to Deltec International Group, “As humans, we process information and we learn from it. The same concept within deep learning artificial intelligence aims to mirror a human.” Before going further, it is important to emphasize that deep learning and different from machine learning, but both are part of the overall branch that is artificial intelligence.
What Is Deep Learning AI?
Let’s take a look at understanding deep learning AI. Deep Learning AI is an extension of machine learning where algorithms and neural networks are developed to mirror human interaction and response through vast amounts of data. Deep Learning technologies would repeatedly learn to deliver a repeating task. The neural networks are built for deep learning, where just as humans, we require thought to figure out a particular problem. Deep Learning techniques are expected to mirror exactly that. Deep learning has only been made possible due to the bang of “Big Data.”
Consider a human being with a huge number of neurons, which is how a deep learning algorithm works. The neurons in the human brain act as a basic currency, which processes information and sends information to the rest of the body where the neuron communicates at something called a synaptic cleft to communicate with other neurons. To put it simply, the neuron receives a signal that acts as an input feeding to the neuron for the neuron to deliver the resulting output. The deep learning algorithm is structurally built to function as the brain through an artificial neural network.
Three Big Examples Of Deep Learning AI
Deep learning is now in full existence to solve complex problems with no intervention required, but the algorithm simply relying on data sets to continuously learn to produce the correct output. Let’s take a look at some of the examples of deep learning AI:
1. Virtual Assistants and Chatbots
According to Deltec Bank, Bahamas – “Virtual Assistants have been in existence for some time and businesses are taking advantage of its capability to perform repeating tasks, like regular administration tasks.” The virtual assistants use natural language processing (NLP) to understand human speech, where the chatbot will respond after processing the human request. Siri and Alexa are prime examples.
2. Autonomous Vehicles or Driverless Cars
The perception of autonomous vehicles in relation to driving strategies, adaptation of different driving scenarios and acting upon instant situations are key areas that would drive the success of it. Autonomous vehicles will become computerized to perform tasks that closely imitate a human’s actions when they drive a car. Companies are to ensure the combination of computer simulation, (known as virtual validation & semi-virtual validation) and physical driving of these vehicles are thoroughly tested.
3. Facial or Image Recognition
Deep learning is using facial or image recognition to identify who a person is through a facial photograph. The process of detecting, alignment, extracting and recognizing human faces through biometric capabilities helps to recognize a person through its facial features. Facebook and Google are advocates for facial recognition.
Deep learning can be supervised and unsupervised. Supervised in the sense of performing an exact output based on instruction, and unsupervised where trust is placed in the algorithm to produce the appropriate output through regular learning and no instruction. This is a form of experience where the more knowledge algorithms receive and learn, the better and more accurate they will become to deliver the expected output. Whilst the technology is already impacting industries in the present and likely to in the future, the capabilities are endless, and it is predicted that human intervention will no longer be necessary as we move into a world consumed by machines changing the way the world interacts with it.
To sum up, deep learning is only rising from its foundation to transform the way the world interacts. Deep learning continues to progress with the capability of mirroring human responses, and examples such as chatbots, autonomous vehicles, and image recognition are technologies that are taking away human effort to make way for faster, computerized operations to match acute human responses.
Disclaimer: The author of this text, Robin Trehan, has an Undergraduate degree in economics, Masters in international business and finance and MBA in electronic business. Trehan is Senior VP at Deltec International www.deltecbank.com. The views, thoughts, and opinions expressed in this text are solely the views of the author, and not necessarily reflecting the views of Deltec International Group, its subsidiaries and/or employees.
About Deltec Bank
Headquartered in The Bahamas, Deltec is an independent financial services group that delivers bespoke solutions to meet clients’ unique needs. The Deltec group of companies includes Deltec Bank & Trust Limited, Deltec Fund Services Limited, and Deltec Investment Advisers Limited, Deltec Securities Ltd. and Long Cay Captive Management.
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