Take a look at the strategy Metis uses to build a team of data scientists.
See how Mount Sinai is developing large-scale image data in neuropathology for building and evaluating deep learning algorithms to diagnose diseases.
Check out this informative guide on deep learning.
Take a look at how governments and enterprises are developing an ethical framework to ensure that AI continues to lead to the best decisions, without unintended consequences or misuse of data and analytics.
Take a look at how AI is revolutionizing the future for the following industries: Agriculture, Photography and Design, Healthcare, and Construction and City Planning.
Learn how a software engineer transitioned into machine learning through a data science bootcamp.
See how AI software is finding its way into medical robotics and how it’s being used by the healthcare industry.
Check out what is in store for data science in 2019. This article isn’t about new fads and concepts, but rather, dark horses – the trends that no one has thought about but will completely disrupt the working IT environment (for both good and bad – depends upon which side of the disruption you are on), in a significant manner.
Check out a project that is part of a widespread effort to build and deploy systems that can automatically detect signs of illness and disease in medical scans. In India, AI is being tested to detect the early stages of diabetic retinopathy, where nearly 70 million people are diabetic and at risk of blindness.
Tech Crunch’s Greg Epstein interviews James Williams on how AI grabs and holds your attention.