Quantum Computing Amazon Braket is a fully managed service that helps you get started with quantum computing by providing a development environment to explore and design quantum algorithms, test them on simulated quantum computers, and run them on your choice of different quantum hardware technologies. Join this session for an overview of Amazon Braket and find out how to get started with quantum computing today.

Sign & Speak This demo showcases how the Sign & Speak program uses machine learning (ML) to build a tool that facilitates communication between users of sign language and users of spoken language. By combining artificial intelligence (AI) models trained to transcribe speech and interpret sign language with a camera and a microphone, the tool enables two-way conversation in situations where communication was previously challenging.

Omni-Channel Contact Center The multichannel experience increasingly forms the core of the business strategy that organizations adopt to connect with their customers. While platforms such as web, mobile, and phone help companies engage and connect with their customers, in most cases, the customer still lacks a seamless experience and consistent messaging across these channels. This demo shows you how to build an omni-channel solution to serve customers in a way that creates an integrated and cohesive customer experience. Using the powerful conversational natural language capabilities of Amazon Lex, see how easily you can build voice-enabled chatbot experiences for customer service.

Image Classification with AWS Deeplens Learn how to build a custom deep learning image classification model with AWS DeepLens, Amazon SageMaker, AWS IoT Greengrass, and other AWS services. The model can be used for a variety of purposes, including artistic style transfer, facial recognition, and license plate and other object detection.

Underwater Garbage Detection With an estimated 8 million metric tons of trash deposited into oceans each year, there are now close to 500 dead zones, where most marine life cannot survive, globally covering more than 245,000 square kilometers, equivalent to the area of the UK. Clearing this trash is a massive job requiring first knowing exactly where the trash is located. This demo shows how to use machine learning to detect trash underwater, mapping it to its location. We use services like Amazon SageMaker, Amazon Elasticsearch Service, and AWS IoT to run this model at the edge with TensorFlow and an NVIDIA Jetson AGX Xavier Developer Kit.

AI Worker Safety System Learn to use AWS DeepLens and Amazon Rekognition to build an application that helps identify if a person at a construction site is wearing the right safety gear, in this case, a hard hat. In this lab, we show how you can create and deploy an object detection project to AWS DeepLens, modify the AWS DeepLens object detection inference Lambda function to detect persons and upload the frame to Amazon S3, create a Lambda function to identify those who are not wearing safety hats and analyze the results using AWS IoT , Amazon CloudWatch and a web dashboard.

Security Automation Toolkit Organizations that have automated their deployment, elasticized their workloads, and dynamically provisioned their fleet on AWS may wonder what to do next. In this demo, learn how to tackle automating your security needs using the latest capabilities in the cloud. While there’s no single path to building an automated and continuous security architecture that works for every organization, certain key principles and techniques can be used by all organizations to automate and use the event-driven security and remediation model on AWS. Learn how to put together a solution on AWS using services like Amazon CloudWatch, Amazon GuardDuty, AWS Config, AWS Lambda, and Amazon SNS to do this easily, cost-effectively, and at scale.

Severless Healthcare Platform Learn how to build a serverless eHealth platform using AWS services like Amazon DynamoDB, Amazon S3, Amazon Lex, Amazon API Gateway, AWS Lambda, Amazon Connect, Amazon Pinpoint, Amazon Comprehend Medical, Amazon Personalize, Amazon SageMaker, and Amazon Rekognition. Also learn how these services are designed to work together to create a seamless and frictionless user experience for your customers.

Virtual Rap Battles AI is quickly making inroads into the entertainment industry, helping create music loops, drum track samples, and even entire heavy metal albums. In this session, learn how to use Amazon SageMaker to build and train a lyrics-generation model and host the model as a real-time API. We show you how to create two virtual rappers using Amazon Sumerian and have them trade rhymes with each other. For a control panel, we use Amazon Comprehend, which detects the key phrase from the first rapper and passes it to the second one and enables replies that are specific to the topic of the first rapper’s rhyme.

AI/ML blackjack challenge This AI/ML blackjack challenge demo showcases Amazon SageMaker, AWS IoT, and Serverless, using edge compute and cameras. Learn how these services in combination detect playing card rank and suit using computer vision, displaying results in real time, and provide player guidance recommendations and probabilities for the game of blackjack.

AWS Smart Factory This demo highlights how AWS services can help customers build a next generation of smart factory which has five categories including Monitoring (Visualization), ERP, Industrial IOT, Analytics, and Machine Learning. You can see how AWS services work in a real small factory equipment and get a good sense of how to start building one. Come and check the future of a smart factory.