After the update/download, to use the app for EI 2020, click on the "More" option in the bottom right corner of the app screen and click "Change Event" from the list of options. Find EI 2020 on the list of available events and download the content to begin planning your EI 2020 itinerary. Go directly to the online SCHOLARONE MyItinerary website! CONFERENCES Electronic Imaging 2020 brings together 17 technical conferences covering all aspects of electronic imaging: (Note: The Photography, Mobile, and Immersive Imaging (PMII) and Image Sensors and Imaging Systems (IMSE) conferences have merged into the Imaging Sensors and Systems (ISS) Conference for 2020.) OPEN ACCESS PROCEEDINGS IS&T EI proceedings are Open Access.

OnQ, an industry-leading, healthcare RCM solutions company, is pleased to announce the successful launch of its Robotic Process Automation (RPA) products and services. OnQ's scalable RPA solutions significantly improve quality, create efficiencies, and simplify processes in medical billing. OnQ is leading the way in moving the industry forward by developing and deploying its RPA technology. "We've broken new ground in applying robotic technology to the healthcare billing industry," explains OnQ CEO Jack McBride. "OnQ's scalable RPA is an exciting development that's providing substantial benefits for both our clients and our employees. By automating repetitive tasks, we have greatly increased efficiency and freed up employees for more meaningful work. Our unique position enables us to rapidly develop, deploy, and scale RPA solutions that produce better results at a lower cost than outsourced labor."

Artificial intelligence – more specifically, the machine learning (ML) subset of AI – has a number of privacy problems. Not only does ML require vast amounts of data for the training process, but the derived system is also provided with access to even greater volumes of data as part of the inference processing while in operation. These AI systems need to access and "consume" huge amounts of data in order to exist and, in many use cases, the data involved is private: faces, medical records, financial data, location information, biometrics, personal records, and communications. Preserving privacy and security in these systems is a great challenge. The problem grows in sensitivity as the public becomes more aware of the consequences of their privacy being violated and misused.

Part 2 of this tutorial for detecting your custom objects is available via this link. One of the important fields of Artificial Intelligence is Computer Vision. Computer Vision is the science of computers and software systems that can recognize and understand images and scenes. Computer Vision is also composed of various aspects such as image recognition, object detection, image generation, image super-resolution and more. Object detection is probably the most profound aspect of computer vision due the number practical use cases.

Taco Bell has added AI to its mobile app, offering personalized menu suggestions for heavy users ... [ ] (Photo by Justin Sullivan/Getty Images) Artificial Intelligence was identified by a number of restaurant tech providers as a top trend for 2020 and, so far, those predictions seem pretty spot on. Up until now, we've seen just a surface scratch of AI's potential in the restaurant space, with chains like Chick-fil-A quietly leveraging the technology to identify food safety issues, and TGI Fridays using it to sell more alcohol, for example. But thanks in large part to McDonald's $300 million investment in Dynamic Yield in March, AI is no longer an under-the-radar experimentation. And now, Taco Bell is making its case for AI, announcing a broader partnership with Certona last week to create a more personalized experience for its mobile app users, of which there are 5 million. Through the technology, machine learning derives the most relevant menu items for app users and also pushes promotions and content based on an individual customer's behavior.

Meanwhile, China's surveillance firms continue to expand globally as China aims to be the world leader in artificial intelligence by 2030. Nadella said regulation "does have a real place here," particularly rules at the "time of use" of AI, like facial recognition. "I think we should be thinking a lot harder around regulation at the time of use. Because facial recognition or object recognition by itself is not good or bad; it is just a technology. So we have to be able to sort of even think about regulation more at the run time, more at the design time," Nadella said.

Robotics has seen remarkable market growth in terms of sales and number of companies, particularly in the past five years. However, since robots can only perform a given set of tasks, they are intended to serve as a tool to help us do our jobs better. Customers sometimes expect a revolutionary robot that can tackle every task, but that's simply not the case. Equipped with sensor kits, navigation software, and connected by the cloud, robots powered by BrainOS, which is Brain Corp's indoor self-driving technology, can do an impressive amount of autonomous maneuvering. They can move items from one space to another in a warehouse environment or efficiently clean grocery store floors, but they cannot act as a personal assistant.

The concept of workplace automation is nothing new, but the future of the robot workforce is bright. Businesses have implemented robotics for decades, if mostly in the realm of manufacturing. The future may hold a different story. Technological advancements and a more widespread cultural acceptance of the concept will likely lead to the further automation of the modern world. The robotics industry has been expanding for years, and this trend will likely continue into 2020.

Companies ranging from high tech startups to global multinationals see artificial intelligence as a key competitive advantage in an increasingly competitive and technical market. But, the AI industry moves so quickly that it's often hard to follow the latest research breakthroughs and achievements, and even harder to apply scientific results to achieve business outcomes. To help you develop a robust AI strategy for your business in 2020, I've summarized the latest trends across different research areas, including natural language processing, conversational AI, computer vision, and reinforcement learning. I've also included external education you can follow to further your expertise. In 2018, pre-trained language models pushed the limits of natural language understanding and generation.

We need better ways to help people. What's the medical breakthrough that could save the most lives in the U.S. over the next ten years? In the 2020s, medical research will likely inch forward when it comes to major killers like heart disease and cancer. But the biggest potential to save lives could lie in learning to prevent suicide. The rates of reported suicides have been creeping up over the last two decades.