Artificial Intelligence

Image classification AI can find existing application in document review. Examples include identifying documents containing specific logo’s, separating our schematics or patent data, and identifying oil field maps and relevant […]

The world is seeing major advances in artificial intelligence (AI) and data analytics, and novel applications in healthcare, education, transportation, e-commerce, and defense, among other areas. These algorithms are improving

As a thought experiment, imagine there was a base metal as scarce as gold but with the following properties: boring grey in color, not a good conductor of electricity, not

At a critical moment during the 2011 movie Margin Call, the CEO of a fictional Wall Street investment bank addresses his board on the eve of the 2008 financial crisis:

The recent developments in AI and machine learning across industries have convinced many that this innovation is on par with the great, transformative technologies of the past: electricity, cars, plastics,

The current moment is bursting with opportunity to the bold and fearless business leader of tomorrow. We are collectively at a point of great change, where the nature of work

There is no wasted time studying the variety of algorithms at our disposal. After all, their relevance is determined by factors both within and outside our control. However, the growing

Artificial Intelligence (AI) bias is an anomaly in the output of machine learning (ML) algorithms. These could be due to the prejudiced assumptions made during the algorithm development process or

If you were held accountable for the decision of a machine in contexts that have financial, safety, security, or personal ramifications to an individual, would you blindly trust its decision?

If artificial intelligence keeps improving, automating ever more jobs, what will happen? Many people are job optimists, arguing that the automated jobs will be replaced by new ones that are