"Coditany of Timeness" is a convincing lo-fi black metal album, complete with atmospheric interludes, tremolo guitar, frantic blast beats and screeching vocals. But the record, which you can listen to on Bandcamp, wasn't created by musicians. Instead, it was generated by two musical technologists using a deep learning software that ingests a musical album, processes it, and spits out an imitation of its style. To create Coditany, the software broke "Diotima," a 2011 album by a New York black metal band called Krallice, into small segments of audio. Then they fed each segment through a neural network -- a type of artificial intelligence modeled loosely on a biological brain -- and asked it to guess what the waveform of the next individual sample of audio would be.
Artificial intelligence and machine learning are two phrases that are thrown around a lot in the tech world these days. It has gotten the point where every company has to say they're an AI company, even if they really don't have AI capabilities, just to be taken seriously. The problem is that the best data scientists all want to work for the same few companies: Google, Facebook or Apple. So what are the smaller companies to do? That's the problem that H2O.ai is solving.
Investors beware: there's plenty buzz around artificial intelligence (AI) as more and more companies say they're using it. In some cases, companies are using older data analytics tools and labeling it as AI for a public relations boost. But identifying companies actually getting material revenue growth from AI can be tricky. XAutoplay: On Off AI uses computer algorithms to replicate the human ability to learn and make predictions. AI software needs computing power to find patterns and make inferences from large quantities of data.
"Ugh," my dad used to grunt when I switched on Radio 1 . "This music sounds like it was written by a computer". It's a criticism that's been levelled at synthpop for years. But what if it was true? Taryn Southern, a YouTube star and content creator, has just released a song she wrote with the help of artificial intelligence.
Let's face it: The AI hype train isn't going away and soon all our devices will be run by artificial intelligence. While Apple's answer to the AI takeover is to just call its new A11 processor "Bionic", Huawei has taken a more concrete approach. The company embedded a neural processing unit (NPU) on its Kirin 970 chip, which it claims can run AI tasks faster and with less power than others. The newly launched Mate 10 Pro is the first phone to use the Kirin 970, and it's meant to demonstrate the wonders of deeply embedded AI. So far though, it's a capable, well-designed phone that has yet to fully explore what a dedicated NPU can do.
As an entrepreneur and AI guru, Trevor O'Brien is deeply engrained in the digital start-up community. He is founder at the innovative design and prototyping studio, theexperiment.io, and has been crucial in a number of ground-breaking start-up initiatives, including thegrid.ai Throughout his career, Trevor has lead sprawling multidisciplinary teams, created award-winning digital campaigns, and proven that technology paves endless paths for communicating and doing business, through the success of his clients. We caught up with our latest scholar to find out more about his thoughts on the role of AI in our future – from minimizing food-waste, to terrible self-creating music! Julie Hough: Contagious are global supporters of brave creative thinking and innovation, especially in the face of daunting new technologies.
HPE Rapid Software Installation for AI: HPE introduced an integrated hardware and software solution, purpose-built for high performance computing and deep learning applications. Based on the HPE Apollo 6500 system in collaboration with Bright Computing to enable rapid deep learning application development, this solution includes pre-configured deep learning software frameworks, libraries, automated software updates and cluster management optimized for deep learning and supports NVIDIA Tesla V100 GPUs. HPE Deep Learning Cookbook: Built by the AI Research team at Hewlett Packard Labs, the deep learning cookbook is a set of tools to guide customers in selecting the best hardware and software environment for different deep learning tasks. These tools help enterprises estimate performance of various hardware platforms, characterize the most popular deep learning frameworks, and select the ideal hardware and software stacks to fit their individual needs. The Deep Learning Cookbook can also be used to validate the performance and tune the configuration of already purchased hardware and software stacks.
Good morning, or afternoon, wherever you are. Here's a roundup of recent AI developments on top of everything else we've reported over the past week or so. Researchers at Nvidia have developed and described a new way to train generative adversarial networks (GANs) in a more stable manner to generate a series of, what appears at first glance, seemingly realistic convincing photos. In other words, this is a neural network that can produce, at a decent resolution, fairly plausible photos of things – from couches to buildings – on demand from scratch. The computer can invent or fabricate scenes for you or anyone else, from a description: pretty much on-demand fake news.
Alex Karpenko hands me a camera and tells me to run. We're standing on a pier in San Francisco, and the device in Karpenko's hand is an unreleased prototype of a new, software-driven video camera called Rylo. Karpenko wants me to see what he and co-founder Chris Cunningham show recruits and investors when they ask why they should get involved. Karpenko says I don't have to worry about where to point the camera, or try to hold it still. So I grab the camera--a small, oblong 360-degree shooter with a lens on either side--and start running.
Now they're creeping into music production, performance, and DJing, and making the formerly impossible possible. We grilled the experts on what machine learning can and will do to change the game of computer music. Should DJs and music producers welcome it as a liberator, or fear it as a usurper of your job behind the decks? Spoiler alert: You're going to want a better laptop. Every time you do a Google search or use Google Maps, Siri, Shazam, you benefit from artificial intelligence (AI) and machine learning.