Goto

Collaborating Authors

 Media



China – The First Artificial Intelligence Superpower

#artificialintelligence

China is on its way to becoming the first global superpower for Artificial Intelligence. The People's Republic of China has the most ambitious AI …


Artificial intelligence is changing the world – here's how to invest

#artificialintelligence

Alexa, can I make money investing in companies that build artificial intelligence (AI) programmes?



Why AI music will let human artists be less like machines

#artificialintelligence

We believe in the power of music to inspire"... so proclaims the new Apple Music for Business landing page. As a concept, music for business is booming, but when brands talk about'music' can we take them at face value? Is it really'music', stripped of all context, that allows brands to build emotional connections and affinity - or is it the people who make that music? As a lover and creator of music myself, I see musicians as creatively equal to filmmakers. Their purpose is not only to be synced to film or video.


Sonos Move review: brilliant sound now portable

The Guardian

Sonos has finally made a portable wifi and Bluetooth speaker that sounds great – but it's not quite what most will have imagined. For years Sonos has made some of the very best wifi speakers, recently adding optional voice assistants from Google and Amazon. But they have never been truly wireless, needing to be plugged in and on your home wifi network. The Move changes that, essentially taking the excellent Sonos One and adding a battery to the bottom. But it comes at a hefty £399 price tag, although some retailers already have it at £329. The Move is slightly larger than the One.


r/MachineLearning - [1912.10389] Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning

#artificialintelligence

Abstract: A growing body of work shows that many problems in fairness, accountability, transparency, and ethics in machine learning systems are rooted in decisions surrounding the data collection and annotation process. In spite of its fundamental nature however, data collection remains an overlooked part of the machine learning (ML) pipeline. In this paper, we argue that a new specialization should be formed within ML that is focused on methodologies for data collection and annotation: efforts that require institutional frameworks and procedures. Specifically for sociocultural data, parallels can be drawn from archives and libraries. Archives are the longest standing communal effort to gather human information and archive scholars have already developed the language and procedures to address and discuss many challenges pertaining to data collection such as consent, power, inclusivity, transparency, and ethics & privacy.



Artificial Intelligence

#artificialintelligence

Search term … CES 2020: Bosch raises the bar when it comes to artificial intelligence.


Keeping the Future of Work Human

#artificialintelligence

Those changes may have felt sudden at the time, but they'll seem gradual compared to the next few years, as artificial intelligence becomes more vital …