Samsung's Galaxy Home smart speaker will go on sale by April, president DJ Koh told CNET today. The Korean tech giant's answer to the Google Home, Amazon Echo, and Apple HomePod debuted in August 2018, but no pricing or release dates were provided at that time. The news was shared today at Unpacked, an event at the Bill Graham Civic Auditorium in San Francisco where Samsung introduced new devices like its flagship S10 smartphones, the Galaxy Fold that can unfurl into a 7.3-inch tablet, and Galaxy Buds with Bixby. Galaxy Home will be the first smart speaker to operate with Samsung's Bixby smart assistant. The speaker sits atop a tripod and includes spatial intelligence that ensures sound quality by taking into account the size of the room, as well as Spotify-enabled music recommendations.
The third annual Festival of Learning, organized by MIT Open Learning and the Office of the Vice Chancellor, highlighted educational innovation, including how digital technologies and shared best practices are enabling educators to drive better learning outcomes for MIT students and global learners via online courses. "As a community, we are energized by all the transformation and innovation happening within the education space right now," said Krishna Rajagopal, dean for digital learning, open learning, as he kicked off the festival. The educator's role: to engage and inspire learners Keynote speaker Po-Shen Loh, Carnegie Mellon University associate professor, founder of online education platform Expii, and coach of the U.S. International Math Olympiad Team, surprised a morning audience of about 400 people in Room 10-250 when he held up a small red die and asked why opposite sides of the die always add up to seven. Loh then began a lively, Socratic interaction with the audience that blended math and physics with engaging humor. What Loh's inquiry consciously didn't include was digital technology.
Narrow AI is where we have been. General AI is where we are going. Narrow AI refers to AI which is able to handle just one particular task. A spam filtering tool, or a recommended playlist from Spotify, or even a self-driving car -- all of which are sophisticated uses of technology -- can only be defined via the term'narrow AI'. Even Watson, IBM's media-friendly supercomputer which can beat human experts at Jeopardy!
AI is also viewed as a way to enhance productivity and efficiencies in a variety of business settings; that's why most current work in AI is focused on direct consumer services or manufacturing, warehousing and fulfillment. Yet AI's its potential applications go well beyond this narrow view. Nearly every industry, in fact, could benefit from utilizing AI, and those possibilities have barely been realized. This untapped potential creates the following wealth of opportunities for entrepreneurs, especially those willing to travel unexpected paths. The use of AI in healthcare has practical applications that range from anticipating health needs to delivering preventive or medical care with unprecedented precision.
Taylor Swift raised eyebrows late last year when Rolling Stone magazine revealed her security team had deployed facial recognition recognition technology during her Repudiation tour to root out stalkers. But the company contracted for the efforts uses its technology to provide much more than just security. ISM Connect also uses its smart screens to capture metrics for promotion and marketing. Facial recognition, used for decades by law enforcement and militaries, is quickly becoming a commercial tool to help brands engage consumers. Swift's tour is just the latest example of the growing privacy concerns around the largely unregulated, billion-dollar industry.
So read the T-shirt sported by Ben Recht, a professor at the University of California, Berkeley, as he collected an award at the Neural Information Processing Systems (NIPS) conference this week. Dr Recht, pictured above in lecture mode, was protesting against the flood of corporate money pouring into NIPS, aping the words Kurt Cobain wrote on a T-shirt when he appeared on the cover of Rolling Stone in 1992. "It's not an academic conference anymore," Dr Recht says wistfully, perched in the Californian sun on the steps of the Long Beach Convention Centre. He complains that folk would rather go to corporate-sponsored parties these days (Intel's featured Flo Rida, a rapper), than poster sessions. AI, it seems, is the new rock and roll.
This Valentine's Day, an AI has collaborated with humans to write a beautiful love song for you. Just think of it as a little computer love. "Love Song" was written with the help of Amadeus Code, the AI songwriting assistant that takes data from centuries of music to inspire songwriters with melodic ideas. While Amadeus Code can assist in the creative process, like any AI, it cannot feel love. This is why collaboration with the Amadeus Code team was necessary to fully bring the track to life.
Companies nowadays use music classification, either to be able to place recommendations to their customers (such as Spotify, Soundcloud) or simply as a product (for example Shazam). Determining music genres is the first step in that direction. Machine Learning techniques have proved to be quite successful in extracting trends and patterns from the large pool of data. The same principles are applied in Music Analysis also. In this article, we shall study how to analyse an audio/music signal in Python.
Instead of just accepting all this machine learning hype, why not put it to the test? Magenta Studio lets you experiment with open source machine learning tools, standalone or inside Ableton Live. Magenta provides a pretty graspable way to get started with an field of research that can get a bit murky. By giving you easy access to machine learning models for musical patterns, you can generate and modify rhythms and melodies. The team at Google AI first showed Magenta Studio at Ableton's Loop conference in LA in November, but after some vigorous development, it's a lot more ready for primetime now, both on Mac and Windows.
Netflix has helped change the way we watch television and film, further weakening our reliance on traditional TV schedules and providing a cheaper alternative to a cinema trip. It invested massively in shows such as The Crown, Stranger Things and House of Cards to drive subscriber growth. It is now spending money on locking in talent, including Grey's Anatomy creator Shonda Rhimes and Ryan Murphy, the producer behind American Horror Story, to try to ensure its supply of high-quality content. This comes at a cost: content, marketing and other expenses are thought to have exceeded subscriber revenue by at least $3bn last year. Net debt was $8.34bn at the end of September.