The rise of the machines is in full swing and artificial intelligence (AI) has been a hot topic for years now. The question that many people are asking themselves today is at what cost? It’s not an easy question to answer, but if you’re interested in understanding AI better, this blog post will give you some insight into the hows and whys of AI. The first question people usually have is what exactly AI is and how it differs from machine learning. Machine
learning, the subset of artificial intelligence that deals with getting machines to learn things for themselves without being pre-programmed, has been around since the 50s. However, in recent years there’s been a lot more focus on teaching computer systems to do tasks like recognizing images or understanding language using algorithms rather than hand coding instructions as before. The difference between this type of algorithm and traditional programming code lies not just in where they’re written – inside the machine versus outside – but also because these are designed to be adaptive so they can keep improving their performance over time by making improvements based off previous experience (i.e., through trial and error).