AWS re:Invent Bets On Machine Learning To Outdo Rivals
Amazon Inc. unveiled new machine-learning tools, including algorithms that automate decisions and speech recognition at the company’s annual event AWS re:Invent in Las Vegas. Amazon Web Services CEO Andy Jassy announced more than 20 new functions at the event, with the aim to solidify its position over rivals such as Microsoft Corp and Alphabet Inc in the cloud-computing market, which is growing at a phenomenal pace.
At the event that is expected to draw 40,000 people this week, Jassy mentioned in his keynote, “The machine learning capabilities are intended to make the technology more accessible to developers who don’t have the time or resources to experiment with it on their own.”
It needs to be mentioned that AWS’ biggest rivals, Microsoft and Alphabet’s Google are using artificial intelligence and machine learning expertise to capture a share of the market.
Jassy wasted no time in turning the spotlight to AWS market leadership. The biz has an $18 billion annual revenue run rate and a 42 per cent growth rate. “Every imaginable vertical business segment is now using AWS in a meaningful way,” he said.
At the event, AWS announced DeepLens, its first fully programmable, deep learning-enabled wireless video camera designed for developers. For this new offering, AWS and Intel collaborated on the DeepLens camera to provide builders of all skill levels with the optimal tools needed to design and create artificial intelligence (AI) and machine learning products.
AI and machine learning are poised to power a new generation of smart industries, including smart homes, smart retail, smart industrial and many others, making lives easier through intelligent interactions with devices.
This collaboration reinforces Intel’s commitment to providing developers with tools to create AI and machine learning products, and follows the recent introduction of the Intel Speech Enabling Developer Kit, which provides a complete audio front-end solution for far-field voice control and makes it easier for third-party developers to accelerate the design of consumer products integrating Alexa Voice Service.
DeepLens combines high amounts of processing power with an easy-to-learn user interface to support the training and deployment of models in the cloud. Powered by an Intel Atom X5 processor with embedded graphics that support object detection and recognition, DeepLens uses Intel-optimized deep learning software tools and libraries (including the Intel Compute Library for Deep Neural Networks, Intel clDNN) to run real-time computer vision models directly on the device for reduced cost and real-time responsiveness.
“We are seeing a new wave of innovation throughout the smart home, triggered by advancements in artificial intelligence and machine learning,” said Miles Kingston, general manager of the Smart Home Group at Intel. “DeepLens brings together the full range of Intel’s hardware and software expertise to give developers a powerful tool to create new experiences, providing limitless potential for smart home integrations.”
Developers can start designing and creating AI and machine learning products in a matter of minutes using the preconfigured frameworks already on the device. Apache MXNet* is supported today, and Tensorflow and Caffe2 will be supported in 2018’s first quarter.
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