Despite the numerous AI platforms which serve up routes to auto-generate functional music, many artists who have overtly worked with AI have approached the concept via more individual means. Take Holly Herndon, the Berlin-based composer and musicologist who recently created her own intelligent musical accomplice. Dubbed'Spawn', this vocal-sample generator was taught by Herndon and partner Mat Dryhurst to reproduce a bank of vocal-types (including her own) via months of training its complex neural network. Spawn was able to organically add vocals to tracks presented to it. Though, as Herndon told Art in America, the process is still finding its feet: "AI is not that smart, it's very low fidelity, it's not real time, it's very slow and unwieldy. Spawn can take more than 24 hours to process someone's vocal input. On the other hand, it has some unique capabilities that are pretty exciting-slash-scary. The AI can extract the logic of something outside its operator's own logic and re-create it. This is entirely new for computer music."

There is no question that Artificial Intelligence is a transformative technology – so much so that we can't even begin to imagine the impact it will have in the next five, ten, or even twenty years. At the same time, AI is already being used in innovative and unexpected ways across a variety of industries. Bees perform an important ecological function, especially for farmers who rely on pollination to germinate crops. As the bee population continues to decline, scientists have looked for ways to mimic the important work that the insects do – and one solution they've found is to create robot bees (robot drones to replace real drones!) that are equipped with cameras, GPS, and Artificial Intelligence. This potent combination of hardware and software allows these robots to determine where crops are located, and pollinate them accordingly.

There is no question that Artificial Intelligence is a transformative technology – so much so that we can't even begin to imagine the impact it will have in the next five, ten, or even twenty years. At the same time, AI is already being used in innovative and unexpected ways across a variety of industries. Bees perform an important ecological function, especially for farmers who rely on pollination to germinate crops. As the bee population continues to decline, scientists have looked for ways to mimic the important work that the insects do – and one solution they've found is to create robot bees (robot drones to replace real drones!) that are equipped with cameras, GPS, and Artificial Intelligence. This potent combination of hardware and software allows these robots to determine where crops are located, and pollinate them accordingly.

Not too long ago, IBM Watson served as the inspirational muse for Grammy-nominated producer Alex Da Kid to help him write the hit song, "Not Easy." Watson's machine-learning power has been used in high-profile creative initiatives for fashion, music, and film. But what if you could "teach" Watson to think and create like a great artist? To test this theory, IBM Watson has been taught how to think like the famous Catalan modernist artist, Antoni Gaudí. Gaudí's work was influenced by his passions in life: architecture, nature, and religion.

The artificial intelligence (AI) industry is expected to be worth more than $70 billion by 2020 and will undoubtedly influence our lifestyles and the way we consume data. Put simply, AI is a field of computer science that enables computers to do things that humans would consider "intelligent". Well, companies such as Shazam have been using AI since their founding embedded in their "fingerprint" technology. Shazam holds an extensive catalogue of songs with detailed "spectrograms" that contain the various frequencies that a song emits. Once the user tags a song, the application will take that signal, cross reference it with their database and return a match.