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Knomadix Founder Says the Power of Education AI has Arrived - EdTech Chronicle


Using artificial intelligence (AI) to enhance teaching and learning has been a kind of nirvana for education leaders for several years now – a place of perhaps unimagined power that has perpetually seemed just out of grasp. And though it may feel as if it's always just around the next corner, forever one tool or dataset away, one entrepreneur says we're getting closer. In fact, he says we may be close enough to say we've actually arrived at the place where AI products and systems are already showing the return they've promised for so long – personalizing learning for students, yielding rich and actionable data, simplifying teaching practices and, best of all, improving learning outcomes. That positive assessment comes from Ramesh Balan, the founder and CEO of Knomadix – the buzz-worthy AI education company he launched in 2015. And Balan may be worth listening to.

S3E4: Is this real or Artificial Intelligence?


Is this real or did artificial intelligence create this episode? This week an article came out about Artificial Intelligence aka AI used all of Nirvana's songs to create a new Nirvana song. The scientists feed all of Nirvana's songs into an algorithm (first they converted all of the songs to MIDI (Musical Instrument Digital Interface) and then the computer created music that sounded like Nirvana. Then they followed suit with the lyrics. Between them both they created a "new" Nirvana song.

Smells like team spirit: Getting 'art' out of artificial intelligence


Well, now we do not have to only imagine it. A project called Lost Tapes of the 27 Club, focused on mental health in the music industry, recently released a song called Drowned in the Sun. It was touted as a never-heard-before Nirvana song. Except that this song was never written by Kurt Cobain or Nirvana and discovered from some old musty attic years later; it was written by an artificial intelligence (AI) engine. To be more precise, it was written by a neural network trained on the entire body of Nirvana's work.

Near-Vana: A 'New' Kurt Cobain Track Appears Courtesy Of Artificial Intelligence


Arriving a symbolic and symmetric 27 years after he died at the age of 27, a "new" Nirvana song has been released. What makes "Drowned In The Sun" very different to "'You Know You're Right" – the last track Nirvana recorded in 1994 but which was not released until 2002 – is that Kurt Cobain did not write it and no members of Nirvana played on it. The track in question was created using artificial intelligence (AI) software that analyzed a number of Nirvana tracks in order to mimic their writing, recording and lyrical styles – drawing on vocals by Eric Hogan, lead singer in Nevermind, a Nirvana tribute act. Such digital necromancy comes with a whole host of moral, ethical and musical concerns, but in this case it is part of the Lost Tapes Of The 27 Club project raising awareness of mental health issues in music. The 27 Club refers to that mythologized grouping of musicians who all died at the age of 27.

In Computero: Hear How AI Software Wrote a 'New' Nirvana Song


Ever since Kurt Cobain's death in 1994, Nirvana fans have hypothesized about the music he would have made had he lived. But other than "You Know You're Right," the scabrous, throat-shredding meditation on confusion that Nirvana recorded a few months before his suicide, and a few comments he told confidants about potentially collaborating with R.E.M.'s Michael Stipe or going completely solo, he mainly left behind question marks. Now an organization has created a "new" Nirvana song using artificial-intelligence software to approximate the singer-guitarist's songwriting. The guitar riffs vary from quiet, "Come as You Are"–style plucking to raging, Bleach fury à la "Scoff." And lyrics like, "The sun shines on you but I don't know how," and a surprisingly anthemic chorus, "I don't care/I feel as one, drowned in the sun," bear evocative, Cobain-esque qualities.

The emergence of machine learning: How the technology has matured to provide real business benefits


Adoption of Machine Learning is growing significantly in business. More and more, the integration of Machine Learning is becoming an integral part of a digital transformation processes that businesses are looking to undergo. The advances in technology and the accessibility of Machine Learning capabilities, like for example TensorFlow or Cloud Services such as Google Cloud AI and operational tooling including Talend have helped combat the skills required to embrace Machine Learning concepts and accelerate delivery of solutions. Previously a discipline associated with scientists in white lab coats, Machine Learning is now becoming an increasingly mainstream activity. So instead of white lab coats you are more likely to find designer jeans and wearable devices associated with today's emerging army of machine learning developers.

Machine learning and the evolution of marketing


Here's a high-class question for you: "If your brand was going out for the evening, to a live performance with its friends, who would they be going to see together?" And here's a low-grade one: "Is it time to refresh the background image on the campaign banners?" Traditionally, data in marketing has been an aid to decision making. It does rely on the same data we've always used - a lot of it - but it's a new capability, that works on another level. Machine learning is for eliminating the need to make decisions at all. In strategic, creative and display media teams in digital marketing, we'll see the type of work we do evolve.

The AI And Machine Learning Nirvana: Reachable With The Right Approach


There's a perception out there that two evolving technologies, artificial intelligence (AI) and machine learning (ML), will provide businesses with greater efficiency, increased productivity and a beefier bottom line -- almost overnight. And with that message, companies are ready to jump in. According to a 2018 Gartner press release, global business value from AI was expected to reach $1.2 trillion in 2018, a 70% jump from 2017. By 2022, Gartner expected it to reach $3.9 trillion. The research firm predicted that AI will be "the most disruptive class of technologies" in the next decade.

SAPVoice: The Path From Information To Intelligence Leads To Nirvana

Forbes - Tech

Hardly a day goes by without news headlines trumpeting another advance in artificial intelligence. Yet despite all the publicity, many people still think of intelligence as the mere accumulation of information. The late musician Kurt Cobain shared an interesting perspective on the difference when he wrote: "I have met many minds able to store and translate a pregnantly large amount of information, yet they haven't an ounce of talent for wisdom or the appreciation of passion." Despite famously dropping out of high school, Cobain had an astute grasp on one of the most vexing problems in cognitive science. He understood you can have six strings on a guitar or 88 keys on a piano but still lack music.

Why AI Is Neither the End of Civilization nor the Beginning of Nirvana


Where AI, robots, IoT and the so-called Fourth Industrial Revolution are taking us, and how we should prepare for it are some of the hottest topics being discussed today. Perhaps the most striking thing about these discussions is how different people's conclusions are.