Chris discusses how rule-based systems are moving to learning-based systems in various enterprise use cases. Sramana Mitra: Let's start by having you introduce yourself and Genesys and what work you're doing around artificial intelligence. Christopher Connolly: I am the Vice President of our Solutions Strategy Group. Genesys is the number one customer experience platform. It enables companies to create exceptional omni-channel experiences and relationships.

Radiotherapy is a well established method for attacking tumors within the body. There are a number of techniques that are used to administer radiation to a lesion, but they all come with the risk of injuring nearby tissues and organs. Gamma beams and other directed high energy devices result in the exposure of all the tissues that are on the way to and on the other side of a target, which is a serious problem. Knowing where the important organs are in individual patients can allow clinicians to prepare radiation therapy treatments so that as little collateral damage occurs as possible. CT scans are usually used to map the internal anatomy.

This is a keynote highlight from the O'Reilly Artificial Intelligence Conference in New York 2019. You can also see other highlights from the event. Get a free trial today and find answers on the fly, or master something new and useful. Receive weekly insight from industry insiders--plus exclusive content, offers, and more on the topic of AI. Receive weekly insight from industry insiders--plus exclusive content, offers, and more on the topic of AI.

Deep tech is the newest catchphrase in the Indian startup ecosystem. A bunch of homegrown companies are using new-age technologies like artificial intelligence, machine learning, data analytics, cloud, and the internet-of-things (IoT) to solve real-world problems, and essentially, alter the way humans lead daily lives. On Day One of TechSparks 2019, YourStory's flagship annual conference, a panel of founders, investors, and technical heads gathered to take stock of the evolution of the local deep tech startups ecosystem. Swapan Rajdev, Co-Founder and CTO, Haptik (maker of AI chatbots, recently acquired by Reliance Jio) elaborated on how the growth of AI has spurred new jobs and roles. Gone are the days when Indian companies failed to make a mark in hardware.

AI is changing the way we work, live and solve challenges. It can improve healthcare, protect elephants from poachers, and work out how broadband should be distributed. But it could be most valuable as a range of applications helping humanity fight our biggest threat – climate change. AI can strengthen climate predictions, enable smarter decision-making for decarbonising industries from building to transport, and work out how to allocate renewable energy. AI's relevance as a climate change fighting tool comes at a time when there are increasing ethical concerns linked largely to a data-hungry form of the technology called machine learning, where computer systems analyse patterns in existing data to make predictions and decisions.

Google has released a database of 3,000 deepfakes - videos that use artificial intelligence to alter faces or to make people say things they never did. The videos are of actors and use a variety of publicly available tools to alter their faces. The search giant hopes it will help researchers build the tools needed to take down "harmful" fake videos. There are fears such videos could be used to promote false conspiracy theories and propaganda. Deepfake technology takes video and audio clips of real people, often politicians or celebrities, and uses artificial-intelligence techniques to alter them in some way, for instance putting words in their mouth or transposing their head on to body of an actor in pornography. Since their first appearance in 2017, many open-source methods of generating deepfake clips have emerged.

The graph represents a network of 4,016 Twitter users whose tweets in the requested range contained "futureofwork ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 19 March 2019 at 13:04 UTC. The requested start date was Tuesday, 19 March 2019 at 00:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 3-day, 1-hour, 0-minute period from Friday, 15 March 2019 at 23:00 UTC to Tuesday, 19 March 2019 at 00:00 UTC.

Deep Learning has made several breakthroughs in recent years. Compared to traditional computation platforms, it has become more sophisticated and advanced than ever. Smart homes, intelligent personal assistant, etc. are some of the major breakthroughs in the present era. In this article, we list down 8 platforms which can be used to build mobile deep learning solutions. Facebook's open-source deep learning framework, Caffe2 is a lightweight, modular, and scalable framework which provides an easy way to experiment with deep learning models and algorithms. The framework comes with native Python and C APIs that work interchangeably and integrates with Android Studio, Microsoft Visual Studio, or XCode for mobile development.