Informative article on the Top 4 Machine Learning Use Cases for Healthcare Providers.
When a championship player of Go, considered by many to be the world’s most complex board game, was defeated on his home turf by an AI-powered machine last year, many feared for what the defeat might mean for the future of humanity. Not Jim McHugh. The vice president and general manager of Nvidia, a company deeply involved in AI and […]
In the ever evolving healthcare industry, the following Ted-talk discusses the critical ways machine learning is savings lives through earlier detection of illnesses.
Take a look at the potential Machine Learning has for the insurance industry. This article researches the impact of AI in depth on America’s top 4 insurance providers: State Farm, Liberty Mutual, Allstate, and Progressive.
Interesting informational video on how Data Science is trending. Good to check out if you are interested in a career in Data Science.
As businesses continually seek to increase productivity, efficiency, and profit, leaders are looking to Artificial Intelligence and Machine Learning. The article discusses how Machine Learning for businesses will trend in 2019.
Check out the following interview with Terrence Sejnowski, a computational neuroscientist at the Salk Institute for Biological Studies. In his newly released book, “The Deep Learning Revolution” He argues that the hype about killer AI or robots making us obsolete ignores exciting possibilities happening in the fields of computer science and neuroscience, and what can happen when artificial intelligence meets human intelligence.
Learn how to get your data right through successful machine learning. Presented by Michelangelo D’Agostino, Head of Data Science at ShopRunner, and Kenneth Dallmeyer, Data Engineer at ShopRunner.
OpenAI developed Random Network Distillation (RND), a prediction-based method for encouraging reinforcement learning agents to explore their environments through curiosity, which for the first time exceeds average human performance on Montezuma’s Revenge. Learn more:
Scientists of AI at Google’s Google Brain and DeepMind units acknowledge machine learning is falling short of human cognition and propose that using models of networks might be a way to find relations between things that allow computers to generalize more broadly about the world. By Tiernan Ray | October 20, 2018 — 12:52 GMT (05:52 PDT) | Source […]