Du Yifei BEIJING, Oct 21: The city of Hangzhou's traffic efficiency has seen substantial improvements a year after it introduced its "City Brain" project, with an artificial intelligence (AI) hub that uses big data to help it "think" and make decisions better. The programme started in October 2016 with a vision of building Hangzhou into a smart city with the ability to regulate itself and interact better with its human occupants. Hangzhou is the capital of east China's Zhejiang province and the first city in the world to manage its public affairs with AI technology assistance. Some of the latest beneficiaries of the programme are the local traffic police, since the "City Brain" has started helping them maintain traffic and respond quicker to traffic accidents. "The City Brain can detect accidents within a second, and we can arrive at the site in five minutes," said ZhengYijiong, a traffic police officer and the first police officer in China to control the traffic with an AI partner.
The rapid pace of innovation and the constantly exploding collection of possibilities is a major contributor to the fun we all have in digital jobs. There is never a boring moment, there is never time when you can't do something faster or smarter. The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. They never had to worry that they have to be in a persistent forward motion… sometimes just to stay current. This reality powers my impostor syndrome, and (yet?) it is the reason that I love working in every dimension of digital.
Intel Capital, the investment arm of the processor giant, is today announcing its latest tranche of investments, a total of nearly $60 million going in to 15 startups that are working on solving different problems in the bigger area of big data (with a full rundown below). The investments come on the back of a big year for the group: In 2017 so far, Intel says that it's invested $566 million in startups in its portfolio. The focus on big data in this latest group of startups comes out of a new turn for Intel and how it's been making strategic investments in recent times. Intel Capital is one of the bigger names when it comes corporate tech investing. In total, it has invested $12.2 billion in 1,500 companies since 1991.
The second problem in this report is how those trained PhDs actually create value and to what extent that value will accrue to the UK economy over the next few years. The biggest commercial AI centres in the UK are owned by American firms (Google DeepMind, Microsoft Research, and so on). And those with AI PhDs will be in high demand in those firms, as well as in high demand in nations which welcome migrating talent. As it is many of the UK AI teams I have met are made up of broad swathes of European talent, whose status in the UK post-Brexit is not guaranteed by the Government. How will the UK retain people with some of the most desirable technical skills in the world?
The second largest economy of the Arab world is quietly switching from oil to Artificial Intelligence. In a world first, the UAE on Thursday appointed a minister of Artificial Intelligence, which is also the first such acknowledgement by the Arab world that these indeed are the technologies that are going to shape economies around us. Omar Bin Sultan Al Olama, 27, will spearhead UAE's ambition to be at the forefront of the global technological revolution, which will see it planning to build homes on the planet Mars by 2117. The UAE plans to have a fully functioning city of 600,000 people on Mars. "We aspire in the coming century to develop science, technology and our youth's passion for knowledge," tweeted Sheikh Mohammed bin Rashid al Maktoum, the country's vice president and prime minister, when he announced the project -- known as "Mars 2117" -- earlier this year.
Humanity's best future will happen with the proper stewarding of science and technology. How can we assure such stewardship? Recently Olivia Solon wrote an article in the Guardian titled Deus ex machine: former Google engineer is developing an AI god that considered the risks surrounding the development of an AI god. The piece was authored because of Wired Magazine's speculation that tech entrepreneur Anthony Levandowski has formed a religious organization for the purpose of potentially developing an AI god. For most Christians such propositions conjure mental images of the golden calf in Exodus.
In early 2017, the Raspberry Pi Foundation announced a Google developer survey, which requested feedback from the maker community on what tools they wanted on the Raspberry Pi. The blog post says that Google has developed tools for machine learning, IoT, wearables, robotics, and home automation, and that the survey mentions face- and emotion-recognition, speech-to-text translation, natural language processing, and sentiment analysis. "The survey will help them get a feel for the Raspberry Pi community, but it'll also help us get the kinds of services we need," the post explains. Meanwhile, data scientists aren't waiting around to put Google's TensorFlow, an open source software library for machine learning, to work on the Raspberry Pi. Let's take a look at a few cool examples of machine learning with TensorFlow on the Raspberry Pi.
This tutorial shows how to build an image recognition service in Go using pre-trained TensorFlow Inception-V3 model. The service will run inside a Docker container, use TensorFlow Go package to process images and return labels that best describe them. Full source code is available on GitHub. Inside project's root directory create docker-compose.yaml It uses official TensorFlow Docker image as its base image.
Grammy-nominee producer, Alex Da Kid, collaborated with IBM's Watson cognitive computing platform on his newest release. Da Kid used Watson to analyse the composition of five years' worth of Billboard songs along with cultural artefacts such as newspaper articles, film scripts and social media commentary. The aim was to capture the "emotional temperature" of the time period to inform the producer's creative process. "Watson scraped millions of conversations, newspaper headlines and speeches – all of which showed me how emotionally volatile we as humans are and have been, particularly over the last five years." Alex told Forbes, explaining how insights from the data contributed to his finished work.
Operators in the travel industry in the Asia-Pacific region should prepare themselves to maximise business from voice searches online, one of Australia's leading tourism strategists has cautioned. Simply optimise your digital online presence by building reputation, trust, authority and relevance and the voice recognition algorithms of Google, Apple, Amazon and others will do the rest for you – mostly. That was the recommendation by Bronwyn White, co-founder of MyTravelResearch.com, when she was addressing an audience of tourism marketers at the Tourism Marketing Rockstar Convention in Sydney last month. Ms White explained that voice search and chatbots were the latest digital marketing outcomes of the artificial intelligence revolution currently transforming the travel industry by stealth. Apple Siri, Google Now, Windows Cortana and Amazon Alexa are the leading voice activated chatbots helping consumers search without typing," she said.