A.I. stands for Artificial Intelligence and currently it represents a sensible topic. A lot of companies try to develop products or services that make use of A.I., but we’re still at a very early stage of the whole artificial / machine intelligence topic. You can actually find a lot more information on the subject on wikipedia -but this is just something to get started with it. If you’re curious on how to get begin writing code or you want to understand the discipline, you’ll surely find the resources below. Currently, most A.I. are – actually – just A.N.I, meaning Artificial Narrow Intelligence. Artificial Intelligence was founded as an academic discipline in 1956 and had its ups and downs. Many fear that the development of A.I. will create a risk of mass unemployment.
Free Artificial Intelligence Resources
Some of the promoters of this discipline are big companies (that had the resources to sustain R&D departments on the topic) like Google, Microsoft or IBM. But in order to make it easier for those interested the details of the domain, Google has launched a dedicated site for those who would like to learn and develop projects in the area of Artificial Intelligence: Learn with Google AI.
According to the official description, the information published on this platform are dedicated to anyone who’d like to understand the basic for machine learning / artificial intelligence. Google will publish there – in time – relevant information for beginners and machine learning experts alike.
If you’re new to the topic, one really interesting course would be: Machine Learning Crash Course with TensorFlow APIs. With 25 lessons that will require about 15 hours to browse, while offering 40+ exercises and real-world case studies, Google is trying to make AI accessible for anyone interested. Having some programming or math background will surely help in your development.
Conclusions
If you’re reading about Artificial Intelligence because you’re trying to develop or improve a product for you or your company, without having a technical background, you can initially try to discuss the subject with a software development company or an IT consultancy company – they will help you better understand if A.I. is actually fit to handle your requirements. In many cases, some products that need tweaking or editing are enough to cover your needs, while in other situation A.N.I will actually be the answer to your questions. Going through the Machine Learning Glossary will also help with being on the same page when discussing technical details.
