Results


Solution guide: Building connected vehicle apps with Cloud IoT Core

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GCP services, including the recently launched Cloud IoT Core provides a robust computing platform that takes advantage of Google's end-to-end security model. Device Management: To handle secure device management and communications, Cloud IoT Core makes it easy for you to securely connect your globally distributed devices to GCP and centrally manage them. Applications: Compute Engine, Container Engine and App Engine all provide computing components for a connected vehicle platform. Predictive Models: TensorFlow and Cloud Machine Learning Engine provide a sophisticated modeling framework and scalable execution environment.


News in AI and machine learning

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I'm Nathan Benaich -- welcome to issue #18 of my AI newsletter! I will synthesise a narrative that analyses and links important happenings, data, research and startup activity from the AI world. Grab your hot beverage of choice and enjoy the read! If you're looking to invest, research, build, or buy AI-driven companies, do hit reply and drop me a line. In a massive deal this quarter, Intel CEO agreed to purchase Mobileye for $15.3bn.


The most detailed maps of the world will be for cars, not humans

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Here started work building HD maps back in 2013, according to Sanjay Sood, the company's VP for highly automated driving. "Starting last year, we're essentially building the road network in order to have this map available for the first fleets of cars that are going to be leveraging this technology that are going to be showing up on the roads around 2020," said Sood. But a more scalable solution involves leveraging the embedded sensors in cars already using HD maps to navigate. "Here's adoption of our deep learning technology for their cloud-to-car mapping system will accelerate automakers' ability to deploy self-driving vehicles."


Where the Cloud Won't Work: Machine Learning for the Industrial Internet of Things - The New Stack

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Reed says IOx with FogDirector is a rapidly evolving platform, already capable of doing orchestration of all edge devices and acting as the DevOps layer for edge processing gateways. Most are just setting up their infra at present and working to get data collection flowing alongside complex event processing that can track which data to store, which to act on immediately, and which to discard. Tarik Hammadou, CEO and co-founder at VIMOC Technologies has built both hardware (VIMOC's neuBox that has both sensors and a compute layer included), and a hardware-agnostic software platform that operates at the cloud level where applications can be built and connected via API to sensors and gateways. VIMOC's sensors and platform have been taken up by parking garages to optimize parking spaces and already Hammadou has introduced deep learning algorithms on the gateway to better understand the sensor readings being collected.


AI in self-driving cars - NVIDIA and Bosch collaboration

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Intelligent machines powered by artificial intelligence (AI) computers that can learn, reason and interact with people and the surrounding world are no longer science fiction. Thanks to a new computing model called deep learning using powerful graphics processing units (GPUs), AI is transforming industries from consumer cloud services to healthcare to factories and cities. Many of these are in place already, providing new services to millions around the world. However, no industry is poised for such a significant change as the $10 trillion transportation industry. The automotive market is next, and the opportunity to develop advanced self-driving vehicle holds the promise to the world of dramatically safer driving and new mobility services.


IoT and Machine Learning are invading our lives. Is it a good thing?

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The Internet of Things (IoT) and Machine Learning are two of the hottest technologies of our time. At first glance, I really like some of the ideas that are being proposed by the combination of Internet of Things and Machine Learning: smart light bulbs that know when to turn themselves on and off; smart kettles that will make sure you'll have freshly made coffee at the exact time you want it without having thought about it; smart fridges that will do the grocery for you; smart locks that will recognize you and unlock with the tap of a phone. I don't have to worry about leaving the door unlocked because my smart lock will automatically lock the door when it senses that the house is empty. Combined with the power of the fast evolving VR technology, IoT will enable us to travel to distant locations, feel things, meet people and do a lot more without ever setting foot outside our homes.


Tech Talk: Qualcomm's Zeroth Could Divorce The Cloud Androidheadlines.com

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Qualcomm has been talking about their deep learning machine intelligence platform, Zeroth, for a number of months now. When the company first started talking about including the technology into System-on-Chips, this might have meant that the Snapdragon 820 was going to include a Qualcomm Neural Processing Unit, or NPU, as part of the hardware. Instead, Qualcomm included the Zeroth software on the device rather than a core. Over the weekend, Qualcomm has announced that they are releasing the Zeroth SDK so that developers can start to utilize this specialist software on the device rather than relying on cloud computing to process this data. Neural processing has been used for a number of years now.