![]() ![]() A star robotic ambassador is “Rov-E,” a close replica of real NASA Mars rovers. Government: Leveraging Lex, the backend that powers Amazon Alexa, NASA, in order to spark innovation, has built a voice activated version of the MARS robot. We are just scratching the surface of what is possible,” said Michael Krouse, Senior Vice President Operational Support and Chief Information Officer, Ohio Health. Amazon Lex’s next generation technology and the innovative applications we are developing using it will help provide an improved customer experience. Everything we do at OhioHealth is ultimately about providing the right care to our patients at the right time and in the right place. “Amazon Lex represents a great opportunity for us to deliver a better experience to our patients. Health: Ohio Health, a nonprofit health organization, is utilizing evolving speech recognition and natural language processing technology to enhance the lives of its customers. With the announcement of Amazon Polly, we’re excited about the ability to provide an even better experience to these customers by delivering incredibly lifelike voices that will captivate and engage our audience,” said John Worsfold, Solutions Implementation Manager, Royal National Institute of Blind People. “We are currently using Amazon’s Speech-to-Text technology to create and distribute accessible information in the form of synthesized audio content for our many B2B and B2C customers, including utility companies, financial institutions, and media companies, as well as other customer-facing material such as magazines and publications. Nonprofits: The Royal National Institute of Blind People is able to change the way services are being delivered to the blind by using AWS. The below organizations serving the public use some of Amazon AI services: For example, Apache MXNet scales almost linearly across hundreds of GPUs, training efficient models which can be run anywhere from new, custom Intel processors and field-programmable gate arrays ( FPGAs) to embedded devices on robots and drones. Engines, such as Apache MXNet, TensorFlow, Caffe, Theano, Torch, and CNTK, provide flexible programming models for training custom models at scale. AI Engines: A collection of open-source, deep learning frameworks for academics and data scientists who want to build cutting edge, sophisticated intelligent systems, pre-installed configured on a convenient machine image.AI Platforms: If you have existing data and want to build custom models, we provide a set of AI platforms which remove the heavy lifting associated with deploying and managing AI training and model hosting: Amazon Machine Learning (with both batch and real-time prediction on custom linear models) and Amazon EMR (with Spark and Spark ML support).Within the public sector, Rekognition is being used to build facial search databases, user verification, sentiment analysis, and image classification and tagging of entities. These AI Services include: Amazon Rekognition for image and facial analysis, Amazon Polly for text-to-speech, and Amazon Lex, an automatic speech recognition and natural language understanding service for building conversational chat bots. AI Services are powered by machine learning and deep learning, but provide higher level services to add intelligence into your applications. AI Services: Application developers can easily add built-in intelligence into their solutions using the Amazon AI Services.To be able to realize impactful results, Amazon AI breaks down services into three main layers, which sit on top of the AWS infrastructure and network: In order to change the way services are delivered to the blind or to inspire the next generation of space explorers, organizations need to overcome hurdles related to the scale of data, scale of compute, and variety of devices and platforms that intelligent systems need to ultimately run on. Governments, defense agencies, and other public sector organizations are adding AI into their platform, solutions, and products to perform tasks that usually require human-level intelligence, such as visual perception, speech recognition, decision making, or translation. From computer vision systems for autonomous driving to FDA-approved medical imaging, artificial intelligence (AI) is driving public sector innovation. ![]()
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