The evolution of smart tech: What will our cities look like in 2025?

The evolution of smart tech: What will our cities look like in 2025?  #smartcities #AI #IoT

  • Many companies investing in smart city technologies are too focused on the consumer side of IoT (the “flashy side”) and are hindered by outdated, inefficient backend infrastructure forcing them to rethink their strategy.
  • Knowing that things will go wrong in the early years of smart cities and IoT technology adoption, it will take a select few to be the first movers, take the risk, and carve the path for others.
  • In order to reach the next phase of “smart cities,” companies involved in the on-demand ecosystem will need to optimize their own resources through a dynamic technology that enables more efficient and effective processes.
  • Despite what many might believe, we’ll likely see rural areas – not major cities – adopt smart technologies such as delivery drones and autonomous vehicles first.
  • Instead, rural areas not only provide open skies and sparse populations, but these communities actually stand to benefit the most by utilizing optimized smart technologies that provide efficient, low-cost and timely services.


Smart Cities
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China wants to be a $150 billion world leader in AI in less than 15 years

#China wants to be a $150 billion world leader in #AI in less than 15 years

  • China has laid out plans to become the world leader in artificial intelligence (AI) by 2030, with the aim of making the industry worth 1 trillion yuan ($147.7 billion).
  • The State Council released its three-step roadmap on Thursday outlining the thinking behind how it expects AI to be developed and deployed in areas from the military to city planning.
  • “Artificial intelligence has become a new engine of economic development,” the State Council’s document said according to a translation.

China’s three step program outlines its aim to use AI in a number of areas from the military to smart cities.
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How AI Is Like Electricity—and Why That Matters

#AI Is Like Electricity, and It's About to ‘Cognify’ the World

  • Kelly’s word of choice is cognification, and he uses it to describe ‘smart’ things.
  • The industrial revolution saw a large-scale switch from the agricultural world—where everything that was made was made by muscle power—to the mechanized world, where gasoline, steam engines, and electricity applied artificial power to everything.
  • We made a grid to deliver that power, so we could have it on-demand anytime and anywhere we wanted, and everything that used to require natural power could be done with artificial power.
  • Kelly gives the example of a car, which is simple but compelling: you summon the power of 250 horses just by turning a key.
  • The next step is to take that same car that already has the artificial power of 250 horses and add the power of 250 artificial minds.

What’s the first thing that comes to mind when you hear ‘artificial intelligence’? For those raised on a steady diet of big budget Hollywood sci-fi, the answer to that question is something along the lines of “evil robots and all-knowing computers that are going to destroy humanity.”
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IoT Applications in Smart Cities: New York and Chicago

What are #NYC and #Chicago's #smartcity initiatives - ? 🏙 #iot #ai #aot

  • Can New York and Chicago’s smart city projects improve quality of life and solve the impending massive infrastructure strain for urbanites?
  • Here in the U.S. both New York City and Chicago are taking big steps forward in terms of channeling resources and energies into become smarter.
  • Along with major developments in New York and Chicago, which rely heavily on IoT tech, the emergence of smart cities as the technology base of the future innovation was all the talk during this year’s SXSW in Austin.
  • Smart city projects can lose sight of why cities became the home of the industrial, technological, and sociological revolutions of the last few centuries: The people themselves.
  • Keeping up with rapid population growth will not be easy, especially for the world’s biggest cities—like New York and Chicago.

Here in the U.S. both New York City and Chicago are taking big steps forward in terms of channeling resources and energies into become smarter.
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Who’s leading the global IoT market in 2017?

#DYK? #APAC is the leading global #IoT market - ! 🌏 #AI #GIoT #IIoT #CIoT #i40

  • Southeast Asia is proving to be a market leader for IoT around the world.
  • Hosting many of the leading companies and having a huge potential market both in terms of consumers and enterprise, combined with governments who are aggressively pursuing the benefits of IoT, the region is currently ahead in the race to be the world’s leaders in implementing IoT.
  • The sharp growth in the population and consumer technology market within this region has led to the region leapfrogging to Industry 4.0.
  • As the region continues its growth in its industrial and manufacturing sectors, which are well supported by a huge local demand for products and an adequate ecosystem for the industry, we can only expect a surge in the demand for Industrial IoT.
  • The growing customer demand with diverse technology needs, the increasing number of devices, a surging manufacturing/industrial sector and governments that consider technology to be a top priority make the perfect mix to create an ecosystem that will foster IoT growth, setting the Southeast Asia region to be the market leader for this industry in the entire world.

The Internet of Things (IoT) is taking the entire world by storm. While the predicted range is wide, McKinsey recently forecast the IoT market to be worth US$11 trillion by 2025. IoT, however, is still a work-in-process, which means many companies, and many countries at at very different stages in development.
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How AI Is Like Electricity—and Why That Matters

#AI Is Like Electricity, and It's About to ‘Cognify’ the World

  • Kelly’s word of choice is cognification, and he uses it to describe ‘smart’ things.
  • The industrial revolution saw a large-scale switch from the agricultural world—where everything that was made was made by muscle power—to the mechanized world, where gasoline, steam engines, and electricity applied artificial power to everything.
  • We made a grid to deliver that power, so we could have it on-demand anytime and anywhere we wanted, and everything that used to require natural power could be done with artificial power.
  • Kelly gives the example of a car, which is simple but compelling: you summon the power of 250 horses just by turning a key.
  • The next step is to take that same car that already has the artificial power of 250 horses and add the power of 250 artificial minds.

What’s the first thing that comes to mind when you hear ‘artificial intelligence’? For those raised on a steady diet of big budget Hollywood sci-fi, the answer to that question is something along the lines of “evil robots and all-knowing computers that are going to destroy humanity.”
Continue reading “How AI Is Like Electricity—and Why That Matters”

Will artificial intelligence mean the end of cyberthreats?

Will artificial intelligence mean the end of cyberthreats? 

#Tech #News #IoT #cyber

  • The sheer volume of cyber threats continues to grow at an exponential rate and it’s getting harder to stay on top of them.

In the 90s, the predominant security model used to create secure operating systems was the “castle and moat” approach. Everything inside the firewall was trusted and anything outside it wasn’t trusted.
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Machine Learning and Artificial Intelligence: How Computers Learn

What is #ArtificialIntelligence, and how do computers learn? More here:  #iQAsia

  • As more machine learning takes hold, the data requirements will be astounding.
  • “Artificial intelligence is basically where machines make sense, learn, interface with the external world, without human beings having to specifically program it,” said Nidhi Chappell, director of machine learning at Intel.
  • The post Artificial Intelligence and Machine Learning: How Computers Learn appeared first on iQ by Intel .
  • “It is proven that the more data you give to a machine to learn, the more accurate the machine gets at predicting things,” said Chappell, adding that as the complexity of the learning goes up, so do the data requirements to make sense of it.
  • A car could have a computer on board that begins to learn on its own, but having other cars on the road send data to the cloud helps other cars learn too.

From picking our favorite restaurants to correcting global food shortages, artificial intelligence and machine learning already impact our lives.
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Introducing JetPack 2.3, Comprehensive SDK for AI and Deep Learning

Introducing NVIDIA JetPack 2.3 for #deeplearning on embedded systems:  #JetsonTX1

  • Our latest software suite of developer tools and libraries for the Jetson TX1 takes the world’s highest performance platform for deep learning on embedded systems and makes it twice as fast and efficient.
  • It offers double the performance for deep learning over previous implementations of cuDNN.
  • The camera API gives developers lower level access to connect camera sensors over MIPI CSI.
  • New APIs for half-precision floating point computation in CUDA kernels and cuBLAS and cuFFT libraries have also been added.
  • The JetPack 2.3 all-in-one package bundles and installs all system software, tools, optimized libraries and APIs, along with providing examples so developers can quickly get up and running with their innovative designs.

NVIDIA JetPack 2.3, available for free download today, makes it easy to add complex AI and deep learning abilities to intelligent machines.
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