Latest AI Articles:

Most people aren’t kept up at night for fear of a robot apocalypse – but, in our economically unstable society, many people do worry about their future employment. Robots and AI aren’t yet dominating our lives but they are taking our jobs.

Earlier this month we released an article featuring all of the AI risk quotes from Elon Musk, and the article was well received.

Episode Summary: Neural network - it’s almost a buzz word, but it was looked down on during certain periods of AI development. Nonetheless, most of the public is not aware of what a neural network is, how it works, and how we can create an artificial one.

In business and capitalism, the value of an idea is initially measured by the investment it earns. Keen investors expect financial profit from their economic commitments; profits that fatten their wallets but don't always coincide with the betterment of society. Meanwhile, a $1 billion joint investment by some of business and technology’s biggest names has shed that principle of return and, in the act, validated artificial intelligence as one of today's most important topics.

The original Star Wars film is nearly 40 years old – but the hologram buzz the films inspired has never settled down. In recent years some researches want to bring Dante back in 3D.

Episode Summary: Cyber security is closely linked to advances in artificial intelligence. In this episode, we speak with Dr. Roman V. Yampolskiy about the cyber security factors and risks associated with AI. How is AI both causing risks, and how can AI be used to combat those risks? We dive briefly into the future to speak about some of the potential 'super' AI risks to cyber security and touch on what can be done now to help hedge known and unknown threats.

Of all the body’s organs, we understand the brain the least. And yet, it’s this organ whose secrets best hepalp the development of artificial intelligences. One of these secrets includes the labyrinth of biological neural networks – connections within the brain that enable information to be processed, shared, and recorded. In recent years, scientific comprehension of neural networks has enabled engineers to create artificial systems that function in ways similar to (though not exactly like) human brains. In a process called deep learning, artificial neural networks can analyze information in huge stores of data in order to recognize patterns in language and facial features.

Over the last two years there has been a general "up-tick" in media attention around the risks of artificial general intelligence, and it seems safe to say that though Bill Gates, Stephan Hawking, and many others have publicly articulated their fears, no one has moved the media needle more than Elon Musk.

Episode Summary: It's common knowledge that scientists study the brain to understand how to replicate intelligence in machines; it's less commonly known that scientists also use machine models to understand how the mind works. In this episode, we talk with Dr. Ashok Goel, a researcher in the field of cognitive systems who sheds light on this idea. Dr. Goel also speaks about his perspective on where machines are becoming more creative, and what the future might look like if machines begin to reflect on their "identities" as humans do.

We all know what robots sound like. The awkward, choppy, nasally voice is engrained into popular culture. And even though contemporary robots have significantly advanced vocal capabilities, countries like Yamaha continue to represent the AI voice as mechanical and constrained.