If they are talking about it, it means it is already here. It is called by another name, "machine learning."

This is great news, now human beings can be indicted on their thoughts.

Monday 8, 2018

By Catherine Clifford

Imagine a reality where computers can visualize what you are thinking. (click here)

Sound far out? It's now closer to becoming a reality thanks to four scientists at Kyoto University in Kyoto, Japan. In late December, Guohua Shen, Tomoyasu Horikawa, Kei Majima and Yukiyasu Kamitani released the results of their recent research on using artificial intelligence to decode thoughts on the scientific platform, BioRxiv.

Machine learning has previously been used to study brain scans (MRIs, or magnetic resonance imaging) and generate visualizations of what a person is thinking when referring to simple, binary images like black and white letters or simple geographic shapes (as shown in Figure 2 here).

But the scientists from Kyoto developed new techniques of "decoding" thoughts using deep neural networks (artificial intelligence). The new technique allows the scientists to decode more sophisticated "hierarchical" images, which have multiple layers of color and structure, like a picture of a bird or a man wearing a cowboy hat, for example....

Wall Street's Machine Learning. If Wall Street is so intense about machine learning, it is time to institute the "transaction tax." They can't lie now.

Warren Buffet is exactly correct, without a sovereign state for currency, cryptocurrencies can have their own influence through artificial intelligence. There is no place for the artificial currency. Robots should never have their own digital nation.

Growth of machine learning (click here)

Away from the headlines, expanding communications bandwidth (introduction of 5G, investment in subsea cables) and continuing 20% year on year growth in the Cloud provide the infrastructure for the digital transformation of the 4IR.

Incorporating an AI foundation in any major software development is increasingly taken as a given. In 2000, the internet 'disappeared down a thousand foxholes' into countless developments and applications before emerging ubiquitous as Web 2.0 and the [mobile+social+cloud] combination after 2004. Machine learning, as the 4IR's 'killer app enabler' that can be trained to see patterns and make predictions, is at the 'disappearing' stage, with work going on around the world embedding it into existing applications and using it to develop new ones.

Machine learning costs have tended to be frontloaded with intensive, iterative use of training datasets, but new techniques like transfer learning (which pre-trains the model on similar data) and synthetic data (which uses computer generated data to mimic the real dataset) are set to significantly reduce lead times and on costs.  At the processor level, specially developed AI chips (like Intel's recently announced Nervana Neural Network Processor (NNP)) are also accelerating training times, and software developers are starting to pack machine learning models into mobile devices using greater compression and power efficiency....

It is getting very eerie. The strange world of digital is racing along without any contextualized law. There needs to be a summit of countries that will begin to rein in lack of guidance. Since the USA declares money as a citizen, imagine what happens with artificial intelligence.

...In its annual tech trends report for 2018, 'The Symphonic Enterprise' Big 4 accounting firm Deloitte highlights "digital reality, cognitive and blockchain [as] the stars of the enterprise technology realm [that] are redefining IT, business and society in general".

The Deloitte report quotes a prediction from consultancy IDC that spending on digital reality – a mix of augmented reality (AR), virtual reality (VR), mixed reality (MR) and immersive technology – will grow from $9.1bn in 2017 to over $150bn by 2021 as we adapt to a work environment where, like our mobile today, our AR/VR/MR device is 'always on' to communicate, learn, train and interact. This shift, the report says, is comparable to that from "client-server to the web and web to mobile [leading] to more natural and intuitive ways for technology to better our lives. Indeed our means of interface with digital information will likely no longer be screens and hardware but gestures, emotions and gazes". For lawyers, the digital reality era will bring to the fore copyright permissioning and rights legal issues about generating, communicating and adapting content. It will likely also add another dimension to copyright policy debate about Open Access and fair use....