Recently, Neural Architecture Search is coming back to the research spotlight. For example, there is Weight Agnostic Neural Network (WANN) https://arxiv.org/abs/1906.04358 that demonstrates that Neural Architectures can be more significant than the weights of the network. Are researchers just making up new Neural Architecture Search methods for publication, or is there really a big difference? Are there any work that focused on a detailed comparison for Neural Architecture Search.

Nuclear weapons and artificial intelligence are two technologies that have scared the living daylights out of people for a long time.

One of the hottest trends in technology is Artificial Intelligence (AI), and the market is set to generate $70 billion by next year.

Karaoke complexes might be relatively common now, but back in 2004 singing into a PlayStation was the closest most of us could get. SingStar's discs of party classics formed the caterwauling soundtrack to millions of student gatherings, hen parties and five-pint Fridays all over Europe for more than a decade. Like Just Dance, it harnesses the infectious joy of pop music in a way that anyone can play. A gleeful absurdist masterpiece in which you start by rolling up pencils and apple peel and end up absorbing buildings, trees and, eventually, most of the planet in your big sticky ball, because why not? Journey is a short and moving shared experience whose music, evocative colour palette and simple play come together as they only can in games, for a powerful emotional effect. It's often picked as an ur-example of games as art – including by curators at the V&A, where it was front and centre at a recent exhibition. Resident Evil meets Alien seems like such an obvious game pitch that it is incredible it wasn't realised until 2008. In Dead Space, the player becomes lowly engineer Isaac Clarke, who finds himself investigating the "planet-cracking" ship Ishimura after radio contact with the vessel is lost.

Such is its meteoric rise, that its adoption among businesses increased by 60% between 2017 and 2018. Despite the obvious potential, recent events have exposed how automated systems can both intentionally and unintentionally lead to bias. For example, accidental bias was identified in cases where algorithms manage digital ads for STEM roles. With this trend only expected to accelerate, it is critical that the risk of bias is recognised and addressed. While AI bias is creeping into the business world, a recent UNESCO report provided more concerning findings, revealing that voice-activated assistants with female voices such as Amazon's Alexa instil views of gender subservience.

In early 2017, Alex Borek of Volkswagen convinced me that "this time, machine learning is real" and that data quality was a real problem. So I dug in--researched what we knew, talked to a lot of people, and thought through the various ways that bad data could do harm. And it struck me--this is really scary. As I use that metaphor, I find that practically everyone agrees! The next steps were to sort out what to do and write a straightforward article.

Dr. Madeline Gannon is a multidisciplinary designer inventing better ways to communicate with machines. In her work, Gannon seeks to blend knowledge from design, robotics, and human-computer interaction to innovate at the intersection of art and technology. Gannon designs her research to engage with wide audiences across scientific and cultural communities: her work has been exhibited at international cultural institutions, published at ACM conferences, and covered by diverse global media outlets. Her 2016 interactive installation, Mimus, even earned her the nickname, "The Robot Whisperer." She is three-time World Economic Forum Cultural Leader, and serves as a council member on the World Economic Forum Global Council for IoT, Robotics, & Smart Cities.

Music is the most popular art form that is performed and listened to by billions of people every day. There are many genres of music such as pop, classical, jazz, folk etc. Each genre has different music instruments, tone, rhythm, beats, flow etc. Digital music and online streaming have become very popular these days due to the increase in the number of users. To create a machine learning model, which classifies music samples into different genres. To classify a music sample or song manually, the person has to listen to the song and select the genre.