Contributor Content Finance professionals are increasingly using algorithmic trading tools to predict market behavior and suggest optimal investment decisions. However, while most of these models are ...

A data-driven approach can retire the endless, unproductive battles over race- and class-based affirmative action.

Machine learning (ML) has become a critical driver of business success in today's world. This technology enables machines to perform complex tasks without explicit human programming ... wide variety ...

In the meantime, I’ve asked Keith to share a bit more about how predictive algorithms, like An-E, are outpacing human traders ... millions of data points, learning patterns, pricing behavior ...

While human investors react with fear, delay, or overconfidence, a new breed of trading algorithm – like TradeSmith’s cutting-edge system, An-E (short for Analytical Engine) – is making ...

Using machine learning models to predict if patients have chronic kidney disease based on a few features. The results of the models are also interpreted to make it more understandable to health ...

an award-winning Scottish deep-tech semiconductor company pioneering the future of human-machine interaction, has raised $8 million in seed funding to accelerate global growth and the commercial ...

Think about the last time you opened Netflix. Did you scroll through countless options or go with a recommended title? When you log into social media, do you decide what to see, or is your feed ...

(iStock) The human body constantly generates a variety ... cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health ...