Is the future of AI a future in which everyone has experience working with one? It could be, but it’s not quite evident yet. SingularityNET is one particular project that aims to democratize the relationship between […]
Over the next few months, we’ll examine the possible, as well as existing connections, between Blockchain and Artificial Intelligence, beyond the previously mentioned example of the Golem Network. We’ll run with the central question: what […]
McCarthy’s Upbringing and Career John McCarthy was born in Boston, Massachusetts to a multinational family in 1927. His family apparently moved around several times due to the Great Depression until his father nailed down steady […]
Over the next few posts, we’ll launch a series that aims to get you acquainted with the key figures in the Artificial Intelligence space, from its inception up to the present time. In doing this, […]
Diving into Machine Learning At first glance, Deep Learning appears to be quite a convoluted part of the AI field. It’s typically defined as a field inside of Machine Learning, which is essentially the study […]
Data is key to almost every decision that we make. Without accurate data, businesses directly fail. A key problem in computing today, as well as in Artificial Intelligence, is that reportedly, the bulk of data processing […]
If you didn’t already know, any year now, the whole computing space is about to change. This all comes down to the question of when Quantum Computing will replace the way that our computers work […]
Economics + AI Brains AIs are not being built to simply do whatever they want to do. There are limitations and it all starts with the rules that are put into place when the systems first […]
This week, I discovered a podcast with a wealth of information on the Artificial Intelligence industry and current developments therein. Over a series of short posts, I hope to share the information that I’ve learned […]
How are human teams helping AI? Machine Learning is the primary field that involves teaching AI systems to learn with data. Inside of machine learning, there are two typical sub-fields of learning. We hope that […]
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