Tag: machine learning

The Evolution of Banking: AI

What is AI? The concept of Artificial Intelligence (AI) was first coined in 1955, by Stanford Professor John McCarthy, as ‘the science and engineering of making intelligent machines’ [1]. In other words, it is a branch of Computer Science, in which a machine mimics the cognitive functions that are associated with the human mind –… Read more The Evolution of Banking: AI

Algorithmic Bias: Challenges and Solutions

A recent article in The Guardian described the issue of discrimination by algorithms with a few examples: “There was the voice recognition software that struggled to understand women, the crime prediction algorithm that targeted black neighborhoods and the online ad platform which was more likely to show men highly paid executive jobs”. When I worked on a fraud analytics project… Read more Algorithmic Bias: Challenges and Solutions

Diving through the layers of Artificial Intelligence

When reading about artificial intelligence we see terms like neural networks, deep learning, machine learning, reinforcement learning and more thrown about. Some of these terms are often interrelated and can be substituted to discuss the same subject matter, whereas others are mutually exclusive. In this post, I aim to provide clarity on the various subgroups… Read more Diving through the layers of Artificial Intelligence

Flying Smarter: AI & Machine Learning in Aviation Autopilot Systems

Many experienced airline travelers have experienced a common scenario- As the boarding time approaches, the gate agent announces that there will be a slight delay since the pilots are running behind schedule on their current flight. The passengers continue to wait as the plane and flight attendants sit idle on the tarmac.  Several companies are… Read more Flying Smarter: AI & Machine Learning in Aviation Autopilot Systems

Your machine is crying

Machine learning and artificial intelligence are terms that are interchangeably used to refer to technological advancement in the realm of computer science and knowledge. Machine learning involves the ability of computers to learn without the utilization of programme features. On the same hand, artificial intelligence refers to the astuteness that is exhibited by computers to… Read more Your machine is crying

Machine Learning Transforms Google Translate Overnight

Compare these two different translations of Ernest Hemingway’s “The Snows of Kilimanjaro”. This passage was first translated into Japanese by Jun Rekimoto, a professor of human-computer interaction, at the University of Tokyo. Google Translate was then used to convert back to English [1]. From Google Translate: Kilimanjaro is a mountain of 19,710 feet covered with snow… Read more Machine Learning Transforms Google Translate Overnight

How to Leverage Machine Learning in All Aspects of Building Your Business (Even when you don’t have a tech product)

I’m not an engineer, I usually say, but I speak engineering. As a business person in a tech startup, I had to learn the basics of how programming works, what it can do and not do. It is a great asset to be able to model and specify what a product or organization should do… Read more How to Leverage Machine Learning in All Aspects of Building Your Business (Even when you don’t have a tech product)

Is AI going to be your next personal stylist?

Apparel seller Stitch Fix recently introduced a coral, sleeveless blouse with a split neckline—and an unusual creative provenance. It was one of three new tops designed with the help of artificial intelligence. The San Francisco-based e-commerce company, which sends customers boxes of preselected outfits, is leveraging computers to analyze purchasing behavior and learn what elements… Read more Is AI going to be your next personal stylist?

Generative Adversarial Networks: The Future of Deep Learning?

While deep learning models have been able to achieve state-of-the-art results in image recognition and natural language processing tasks, their capabilities are still limited (https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf, https://www.nature.com/nature/journal/v518/n7540/pdf/nature14236.pdf). Humans can learn patterns from only little data, but current deep learning models require thousands of samples (http://www.cell.com/neuron/pdf/S0896-6273(17)30509-3.pdf). Similarly, humans can succeed at a wide variety of tasks, but… Read more Generative Adversarial Networks: The Future of Deep Learning?

Big Data and Pre-emptive Services in Wireless: Improving Performance at the Edge

To build on previous posts discussing what the wireless network of the very near future will deliver and enable, one area requiring exploration is artificial intelligence and how that can be used to improve network performance, particular at the edge.  With current Long Term Evolution (LTE) fourth generation (4G) wireless networks, remote radio units (RRUs)… Read more Big Data and Pre-emptive Services in Wireless: Improving Performance at the Edge