Whenever an impressive new technology comes along, people rush to imagine the havoc it could wreak on society, and they overreact. Today we see this happening with artificial intelligence (AI). I was at South by Southwest last month, where crowds were buzzing about Elon Musk's latest hyperbolic claim that AI poses a far greater danger to humanity than nuclear weapons. Some economists have similarly sounded alarms that automation will put nearly half of all jobs in the U.S. at risk by 2030. The drumbeat of doomsaying has people spooked: a Gallup/Northeastern study published in March found that about three out of four Americans are convinced that AI will destroy more jobs than it creates.
Hi everyone,I have been doing a career on Multimedia Engineering, basically I have studied a bit of everyting (Databases,videogames, networking, image and audio processing, web, front end, back end, apps) and of course some Stadistics, probability, physics. After all this I haven been really undecided to where I want to finally go as a profressional programmer. A lot of people has talk to me about machine learning but not to much in deep but also I liked almost everything I heard about it. I had some project that I want to use for learning (I think the best idea to learn something is actually practicing with it) and its basically a way to suggest new music according on what you listen, basically like the Spotify Discovery Weekly. Could someone recommend me some start point or some route I could follow to understanding it properly?
In this post I present a Python script that automatically generates suggestions for startup names. You feed it a text corpus with a certain theme, e.g. a Celtic text, and it then outputs similar sounding suggestions. I applied the script to "normal" texts in English, German, and French, and then experimented with corpora of Celtic songs, Pokemon names, and J.R.R. Tolkien's Black Speech, the language of Mordor. I've made a few longer lists of sampled proposals available here. You can find the code, all the text corpora I've used, and some pre-computed models in my GitHub repo: Recently, an associate and I started to found a software company, but most name ideas we came up with were already in use.
Nintendo has a history of making people ask why. Why make a console that can come apart and plug into a TV; why did it soldier on for so long with cartridges for games; why is Mario a plumber and wear a corresponding outfit despite not apparently having done it for decades; why the Wii U? It has never stopped, all the way up to its latest release: the Switch, which came at a risky time for the company but helped them pull off exactly what it needed. The company's newest product, Labo, is marketed as an accessory for that console but is actually a huge box full of pieces of perforated cardboard that can be popped out, folded and assembled into a variety of accessories: everything from a small remote control car that drives around using vibration to an entire robot suit that can be strapped on to operate a virtual version of the same robot in a game. It is perhaps the company's most why-inducing release yet. But the answer has, for the most part, always been the same.
If you've bought anything online recently, chances are you've experienced something like this: You visit a store's website to buy a sci-fi movie. The website makes recommendations of other movies for you to purchase. The next day, you get a follow-up email recommending other similar movies, and even some similar books. Intrigued by one of the books on the list, you decide to buy it as well. All of those recommendations are powered by artificial intelligence.
A Metropolitan Police Department panel is calling for the use of information and communications technology, including artificial intelligence and big data, to prevent crime. The panel, led by Takushoku University professor Tadashi Moriyama, said in an MPD report released Friday that ICT works for crime prevention and event security and is "needed to secure the safety of people in Tokyo, and in Japan." The panel also highlighted related problems, such as the handling of personal data. Based on the report, the MPD will start detailed discussions with the aim of using ICT for security during the 2020 Tokyo Olympics. The panel, composed of five experts from fields such as information and communications and criminology, discussed ways to aggregate and analyze the MPD's vast crime and accident database, data on social networking services, and publicly available information, such as weather, to conduct police activities, the report said.
There is an enduring fear in the music industry that artificial intelligence will replace the artists we love, and end creativity as we know it. As ridiculous as this claim may be, it's grounded in concrete evidence. Last December, an AI-composed song populated several New Music Friday playlists on Spotify, with full support from Spotify execs. An entire startup ecosystem is emerging around services that give artists automated songwriting recommendations, or enable the average internet user to generate customized instrumental tracks at the click of a button. But AI's long-term impact on music creation isn't so cut and dried.
A former streaming industry exec and an AI specialist walk into a bar… they leave starting an AI company for the music industry. That's not exactly how Singapore-based startup Musiio was formed, but it's close enough -- and the outcome is the same. Co-founders Hazel Savage, formerly of Pandora and Shazam, and Swedish data scientist Aron Pettersson connected at Entrepreneur First in Singapore. The program began in London as a way to help like-minded tech connect with the potential to start projects, so it does mirror the serendipity of meeting new friends in a bar. "We'd probably never have met each other if we hadn't gone to EF," Savage told TechCrunch in an interview.