On 11th February, the US administration formalized the proposals made during last year's White House summit on AI through an executive order but there was no mention of the amount that will be set aside for investment in AI (except for statements about prioritization of investment in AI). This compared to official commitments by other countries/regions:

With the tendency nowadays for many 'software as service' providers to label their software as 'AI' or add a component labelled as AI, it is hard to distinguish what is a real AI based software and what is not? Some vendors state only machine learning (including deep learning) based software is real AI. However, AI is much more than machine learning and involves other forms such as reinforcement learning, swarm intelligence, genetic algorithms and even some forms of robots. To make it simple for clients/purchasers/organizations, I have developed this simple chart to identify an AI and Machine Learning based software. This chart does not cover all forms of AI software's as currently most AI software's being offered in the market are machine learning based software's (I am creating a more comprehensive chart, which encompasses all the schools and tools of AI including symbolism, connectionism, analogism, bayesianism and evolutionism approaches). I also wanted to keep this chart simple so it is easy to use by buyers (so you data scientists and mathematicians, feel free to comment but be forgiving). Anyway, here you are: