A partnership between Cubic Transportation Systems (CTS) and McMaster University in Hamilton, Ontario, is exploring new technologies around traffic prediction and a heightened understanding of vulnerable road users. Cubic, a transportation and transit technology provider, has entered into a five-year partnership with the university to further develop technology products that include artificial intelligence and machine learning that takes into consideration the wide variety of users of transportation systems. "At the center of everything we do is DEI -- diversity, equity and inclusion," said Ali Emadi, professor and research chair at McMaster University. "That's what makes us different from a lot of artificial intelligence centers in academia or in industry," he added. The project, known as the Centre of Excellence for Artificial Intelligence and Smart Mobility, is also exploring the notion of "human-centered design," and populating design teams with researchers and technicians from across multiple backgrounds and expertise.

Artificial Intelligence (AI) has the potential to completely redesign the way in which businesses operate across functions, including customer service, marketing, and finance. There are numerous AI development companies who can help you in developing modern AI-powered solutions for your business. But as it is the case with other emerging technologies, there are challenges, and AI isn't an exception. According to a new survey carried out by MIT-Boston Consulting Group, 85% of executives believe AI will transform business, but only 20% of companies are using it in some way, and just 5% make extensive use of it. The adoption of AI is very low because of the obstacles which come in the way of adopting the technology.

Approaching artificial intelligence for your business activities is considered to be an agile opinion towards managing your business. Artificial Intelligence is one of the rising element in business as well as the general world. Artificial Intelligence is a very broad concept focusing on automating the operation that helps in reducing human effort, maintaining efficiency & effectiveness and enhance the working criteria. AI technologies offer a scalable way to cope with the heavy amount of data in a managed way to utilize it in an effective manner. AI avails the creation of an advanced workplace that greatens on seamless collaboration between the enterprise system and individual.

Elvis Nava is a fellow at ETH' Zurich's AI center as well as a doctoral student at the Institute of Neuroinformatics and in the Soft Robotics Lab. In ETH Zurich's Soft Robotics Lab, a white robot hand reaches for a beer can, lifts it up and moves it to a glass at the other end of the table. There, the hand carefully tilts the can to the right and pours the sparkling, gold-coloured liquid into the glass without spilling it. Computer scientist Elvis Nava is the person controlling the robot hand developed by ETH start-up Faive Robotics. The 26-year-old doctoral student's own hand hovers over a surface equipped with sensors and a camera.

Ethical Principles in Artificial Intelligence By EPAI Download from Itunes

Artificial Intelligence (AI) is the new black, the shiny new object, the answer to every marketer's prayers, and the end of creativity. The recent emergence of AI from the arcane halls of academia and the backrooms of data science has been prompted by stories of drones, robots and driverless cars undertaken by tech giants like Amazon. But the hype exceeds the day-to-day reality. AI has a fifty-year history of mathematical and computer science development, experimentation and thought. What makes it exciting is the confluence of large data sets, improved platforms and software, faster and more robust processing capabilities and a growing cadre of data scientists eager to exploit a wider range of applications.

Living With AI Podcast: Challenges of Living with Artificial Intelligence By Sean Riley Download from Itunes

Artificial Intelligence and Emerging Tech By Salim Sheikh Download from Itunes

Imaging Storage: Cloud Healthcare API, part of the Medical Imaging Suite, allows easy and secure data exchange using the international DICOMweb standard for imaging. Cloud Healthcare API provides a fully managed, highly scalable, enterprise-grade development environment and includes automated DICOM de-identification. Imaging technology partners include NetApp for seamless on-prem to cloud data management, and Change Healthcare, a cloud-native enterprise imaging PACS in clinical use by radiologists. Imaging Lab: AI-assisted annotation tools from NVIDIA and MONAI help automate the highly manual and repetitive task of labeling medical images, and Google Cloud also offers native integration with any DICOMweb viewer. Imaging Datasets & Dashboards: Organizations can use BigQuery and Looker to view and search petabytes of imaging data to perform advanced analytics and create training datasets with zero operational overhead.

Artificial Intelligence on the Battlefield By Shephard Media Download from Itunes