Build and train machine learning models on our new Google Cloud TPUs

We want Google Cloud to be the best cloud for #AI

  • You can program these TPUs with TensorFlow, the most popular open-source machine learning framework on GitHub, and we’re introducing high-level APIs, which will make it easier to train machine learning models on CPUs, GPUs or Cloud TPUs with only minimal code changes.With Cloud TPUs, you have the opportunity to integrate state-of-the-art ML accelerators directly into your production infrastructure and benefit from on-demand, accelerated computing power without any up-front capital expenses.
  • Since fast ML accelerators place extraordinary demands on surrounding storage systems and networks, we’re making optimizations throughout our Cloud infrastructure to help ensure that you can train powerful ML models quickly using real production data.Our goal is to help you build the best possible machine learning systems from top to bottom.
  • For example, Shazam recently announced that they successfully migrated major portions of their music recognition workloads to NVIDIA GPUs on Google Cloud and saved money while gaining flexibility.Introducing the TensorFlow Research CloudMuch of the recent progress in machine learning has been driven by unprecedentedly open collaboration among researchers around the world across both industry and academia.
  • To help as many researchers as we can and further accelerate the pace of open machine learning research, we’ll make 1,000 Cloud TPUs available at no cost to ML researchers via the TensorFlow Research Cloud.Sign up to learn moreIf you’re interested in accelerating training of machine learning models, accelerating batch processing of gigantic datasets, or processing live requests in production using more powerful ML models than ever before, please sign up today to learn more about our upcoming Cloud TPU Alpha program.
  • If you’re a researcher expanding the frontier of machine learning and willing to share your findings with the world, please sign up to learn more about the TensorFlow Research Cloud program.

Announcing that our second-generation Tensor Processing Units (TPUs) will soon be available for Google Cloud customers who want to accelerate machine learning workloads.
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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 artificial intelligence could design your next car

  • Artificial intelligence is set to take a key role in the design and engineering of new cars, dreaming up lighter, stronger and more complex structures than humans can envision.
  • Hack Rod, a team of designers, engineers, geeks, Hollywood insiders and stunt drivers is working on a way to harness the power of artificial intelligence in tandem with powerful design software produced by Autodesk.
  • Mike Geyer, Autodesk’s director of evangelism and emerging technology, says the generative design software uses cloud computing systems to create the best geometric shapes for any given project.
  • The next Hack Rod will more closely follow the computer’s ideal design by using 3D printing to realise Dreamcatcher’s vision for a lightweight sports car chassis.
  • Geyer says the team will then cloak it in carbon-fibre bodywork impregnated with electronic sensors that collect complex data surrounding the vehicle’s performance, which will then be fed back into the computer’s design process.

Meet the sports car imagined by computers.
Continue reading “How artificial intelligence could design your next car”

How artificial intelligence could design your next car

How #ArtificialIntelligence could design your next car #AI #machinelearning #ML #tech

  • Artificial intelligence is set to take a key role in the design and engineering of new cars, dreaming up lighter, stronger and more complex structures than humans can envision.
  • Hack Rod, a team of designers, engineers, geeks, Hollywood insiders and stunt drivers is working on a way to harness the power of artificial intelligence in tandem with powerful design software produced by Autodesk.
  • Mike Geyer, Autodesk’s director of evangelism and emerging technology, says the generative design software uses cloud computing systems to create the best geometric shapes for any given project.
  • The next Hack Rod will more closely follow the computer’s ideal design by using 3D printing to realise Dreamcatcher’s vision for a lightweight sports car chassis.
  • Geyer says the team will then cloak it in carbon-fibre bodywork impregnated with electronic sensors that collect complex data surrounding the vehicle’s performance, which will then be fed back into the computer’s design process.

Meet the sports car imagined by computers.
Continue reading “How artificial intelligence could design your next car”