Ai and Deep Learning

Posted by Arup Das on February 9, 2018

Financial businesses like PayPal are now using GPU-accelerated deep learning for fraud detection. Consulting firm Accenture’s R&D arm and other businesses are using deep learning to detect Internet security threats. And healthcare is one of the most important industries for the application of AI and deep learning.

AI and Deep Learning will change how industries manage and analyze data. AI and Deep Learning are used interchangeably, but they are different. First of all, let’s define them.

What is Artificial Intelligence (AI) and Deep Learning?

Artificial Intelligence is the use of computers to mimic the cognitive functions of humans. There are two types of AI: specialized and general. Specialized AI designed to specificially only do one job. General AI is “a synthetic intelligence that has a general scope and is good at generalization across various goals and context.” General AI is less common than specialized AI and can be accomplished with machine learning. Machine learning are “algorithms that parse data, learn from that data, and then apply what they’ve learned to make informed decisions.” Deep Learning is a subset of machine learning and it is the ability for computers to learn by themselves when given large amounts of labeled data. Google’s AlphaGo is a perfect example of deep learning, whose purpose was specifically programmed to ensure victory; It learned algorithms as the program played professional Go players. Google’s AlphaGo was able to beat Ke Jie, Go world champion.

Deep Learning is done by feeding data through neural networks, which essentially is a computer system modeled after the human brain nervous system. “An artificial neural network (ANN) is a computational nonlinear model based on the neural structure of the brain that is able to learn to perform takes like classification, prediction, decision-making, visualization, and others just by considering examples.”

Applications of AI and Deep Learning

Artificial Intelligence and Deep learning will allow businesses to operate quicker and cheaper. Most companies use this technology to optimize back office and front office systems and processes. Companies will be able to input historical sales data in AI programs to produce predicted valuable outputs. AI and Deep Learning will “bring order to their marketing data and provide real-time recommendations for audience targeting, campaign timing and content marketing.” Financial firms have invested heavily in AI in hopes to use machine learning and deep learning to analyze trends in the market.

We’re facing thousands of stocks to pick every day, it’s a very daunting task; By using AI… we can basically scan thousands of stocks in real time – Alex Lu CEO and Co-Founder of Kavout