The Fire and Disaster Management Agency will train firefighters to operate drones in an attempt to promote the use of drone technology in disaster response efforts. The agency will offer firefighters from across the country a training course from the second half of fiscal 2019, awarding those who have completed the course the role of "drone operation adviser." It plans to train a total of 135 personnel by fiscal 2023, and dispatch them as instructors to fire departments that have yet to introduce drone technology. Drones are anticipated to play a key role in reaching places that cannot be reached by firefighters and helicopters. For example, a drone fitted with a thermographic camera can identify sources of fire and give a clearer picture of the damage in large-scale fires. In landslide disasters, drones can be used to search for missing people.

Conversational AI, in the form of intelligent chatbot solutions, is changing the way customers are interacting with businesses. These humanized digital assistants provide 24/7 customer service, quick and accurate responses, and improve sales. This leads to an increase in revenue. If you are still stuck wondering "What is a chatbot?" you and your business are missing out big time. Estimates show that around 15% of total customer interactions will be handled by AI.

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The first programming exercise "Twitter Sentiment Analysis in Python" is both fun and challenging, where you analyze tons of twitter message to find out the sentiments e.g.

On a visit to China this summer, I was asked by a local journalist if I thought their country's education and training system was ready for artificial intelligence (AI) and the fourth industrial revolution (4IR). This got me thinking about what it means for any country – let's say the UK – to be AI-ready in educational terms. In this country, there is increasing discussion and debate around the use of technology, including AI, in teaching and learning. Most teachers know the technology exists, but perhaps not necessarily how it can help them in their everyday work. Need to know: What is the fourth industrial revolution?

Generative Adversarial Networks, or GANs for short, is a deep learning neural network architecture for training a generator model for generating synthetic images. A problem with generative models is that there is no objective way to evaluate the quality of the generated images. As such, it is common to periodically generate and save images during the model training process and use subjective human evaluation of the generated images in order to both evaluate the quality of the generated images and to select a final generator model. Many attempts have been made to establish an objective measure of generated image quality. An early and somewhat widely adopted example of an objective evaluation method for generated images is the Inception Score, or IS.

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