Why it matters: The market is emerging as a boon in the healthcare sector owing to the growing adoption of AI technology to assist medical professionals due to the increased rate of chronic diseases and overcome the challenge of physicians’ shortfall in recent years.
Why it matters: AI can improve nowcasting or forecasting the weather with accuracy as it models itself after the traditional methods but with a catch.
Why it matters: Changing a wide data frame into a long data frame makes it easier for machine learning algorithms to run efficiently. This can easily be done using the Pandas Melt function.
Why it matters: CAN’s that run on deep learning, neural networks, and artificial intelligence enables the machines to think creatively, which means this is not a cheap imitation of any artwork that already exists.
Why it matters: In the 1980’s Hans Moravec made the claim that its comparatively easy for computers to mimic adult level intelligence while nearly impossible for them to attain the skills of a one-year-old child.
Why it matters: Julia is a newly emerging language in the machine learning field and is not too difficult to learn if you already have experience in Python.
Why it matters: Robotics as a service (RaaS) – where robots are leased / loaned along with the cloud platforms to improve production and lower costs.
Why it matters: Using automation and AI microscopy tools to support acquiring data are great ways of efficiently reaching best results.
Why it matters: The use of AI in dating apps can improve the overall experience of individuals trying to find someone who is compatible with them.