Investigation into the five factor model started in 1949 when D.W. Fiske was unable to find support for Cattell’s expansive 16 factors of personality, but instead found support for only five factors. Research increased in the 1980s and 1990s, offering increasing support for the five factor model. The five factor personality traits show consistency in […]

Good nutrition is a essential for good health. Poor nutrition can lead to reduced immunity, increased susceptibility to disease, impaired physical and mental development, and reduced productivity.Despite these risks, many people consume too many foods high in calories, fats, free sugars or salt, and many do not eat enough fruit, vegetables and dietary fibre. Often […]

HUMANITY’S GOT ITSELF a problem. As Homo sapiens balloons as a species—to perhaps nearly 10 billion by 2050—the planet stubbornly stays the same size, meaning the same amount of land must support way, way more people. Add the volatility of global warming and consequent water shortages, and the human race is going to have some […]

There are many improvements in the new PyTorch framework, however the most notable change is the adoption of a Dynamic Computational Graph. There are some lesser known frameworks that have this capability (i.e. Chainer and Dynet), in fact PyTorch borrowed a lot of ideas from Chainer. This capability is also referred to as “Define by […]

Six areas of AI that are particularly noteworthy in their ability to impact the future of digital products and services. Source: 6 areas of AI and machine learning to watch closely – Medium

Ada found the division between art and science deterred people from understanding the essence of an idea. Ada believed in the importance of intuition and image in mathematics and science. She called this “Poetical Science.” The key features were observation, interpretation and integration. They were relevant a hundred years ago and are still relevant today. […]

A great overview of 10 useful Python data visualization tools. It covers some of the big ones, like matplotlib and Seaborn, but also explores some more obscure libraries, like Gleam, Leather, and missingno. Source: 10 Useful Python Data Visualization Libraries for Any Discipline

The Google Brain team took a step back to detail its advancements in the machine learning community for the 2016 calendar year NLU: Getting computers to understand our language In 2016, the Google Brain team took previous research from a paper called “Sequence to Sequence Learning with Neural Networks,” which demonstrated that the approach could […]

As the Artificial intelligence & Machine learning based applications evolve, we see numerous mash ups of APIs to experiment with. Get started with this list of selected APIs to explore their capabilities & features in machine learning, prediction, face recognition, image processing, speech recognition etc. Source: 50 Useful Machine Learning & Prediction APIs

Cognitive scientists like MIT’s Tenenbaum theorize that important components of the mind are missing from today’s neural networks, no matter how large those networks might be. Humans have the ability to learn very quickly from a relatively small amount of data and have a built-in ability to model the world in 3-D very efficiently. “Language […]