AI and Skin Cancer

Inspirational work by Stanford researchers using Google’s TensorFlow to detect malignant skin lesions.


Artificial Intelligence is the New Electricity

Great┬átalk by Prof. Andrew Ng of Stanford/Baidu on how AI will permeate almost every conceivable industry (except hairdressing!). I’ve been interested in AI for a long time and it’s so great to see it finally coming into “the eternal spring”.

Key points:

  • Machine learning used to plateau despite increasing amount of training data – this is no longer the case. Now the more (good) data you have, the better your AI performs. This needs not only AI/ML expertise but also hardware expertise to handle next-level computation with an increasing amount of training data.
  • AI progresses fastest when it’s attempting to do something a human can do; after reaching the human-level of accuracy, progress tends to slow down.
  • If a typical human can do a task with less than a second of thought, then AI can automate it now or in the near future.
  • While programming methodologies such as Agile have had the time to mature into their present forms, there remains a need for an effective method for communication between project managers and engineers in AI projects.
  • Particular domains where AI is very likely to take off are:
    • speech recognition;
    • computer vision, e.g. facial recognition; and
    • healthcare