Researchers in China have developed an AI-based natural language processing algorithm which processes free text from physician notes in electronic health records (EHRs) to predict common ailments in a pediatric population. The algorithm outperformed junior physicians in diagnosing some illnesses.

The Central Board of Secondary Education (CBSE) has partnered with technology giant Microsoft India to train 1,000 teachers in Information and Communication Technology (ICT) tools. The capacity building programme, according to a CBSE circular, will include aspects of Artificial Intelligence, gamification through Minecraft, collaborative tools such as Teams, Flipgrid, OneNote. Each selected school is asked to nominate two teachers for the programme for which registrations will close on September 9. The programme will train teachers from CBSE-affiliated schools across India. It will begin on September 11 and will conclude on September 28.

Lisa Cornish is a Devex Reporter based in Canberra, where she focuses on the Australian aid community. Lisa formerly worked with News Corp Australia as a data journalist for the national network and was published throughout Australia in major metropolitan and regional newspapers, including the Daily Telegraph in Melbourne, Herald Sun in Melbourne, Courier-Mail in Brisbane, and online through news.com.au. Lisa was awarded the 2014 Journalist of the Year by the New South Wales Institute of Surveyors.

Artificial intelligence (AI) in the enterprise is poised for significant growth, so it's no wonder savvy IT professionals are looking for ways to align their career trajectories with it. Indeed, there was a 29 percent increase in the number of AI jobs listed on Indeed from May 2018 to May 2019, and a concurrent 15 decrease in candidate searches for AI roles, suggesting a potential shortage of AI experts on which IT pros could capitalize. "Machine learning and AI has become ubiquitous in our lives," says Timothy Havens, the William and Gloria Jackson Associate Professor of Computer Systems at Michigan Technological University's College of Computing and Director of the Institute of Computing and Cybersystems. "This marketplace is going to grow exponentially in the coming years; it is the perfect time for both young people and also those who wish to make a career change to become involved in a field that is going to change everything." For many IT professionals, a role in AI can be a logical next step that takes advantage of some of their existing skills.

The field of artificial intelligence (AI) has progressed rapidly in recent years, matching or, in some cases, even surpassing human accuracy at tasks such as image recognition, reading comprehension, and translating text. The intersection of AI and GIS is creating massive opportunities that weren't possible before. AI, machine learning, and deep learning are helping us make the world better by helping, for example, to increase crop yield through precision agriculture, fight crime by deploying predictive policing models, and predict when the next big storm will hit and being better equipped to handle it. Broadly speaking, AI is the ability of computers to perform a task that typically requires some level of human intelligence. Machine learning is one type of engine that makes this possible.

The Cacophony Project's broad vision is to bring back New Zealand's native birds using the latest technology to monitor bird populations and humanely eliminate the introduced predators that are endangering them. The project started in our founder's backyard to measure the effectiveness of his efforts to protect the birds on his property. From this simple beginning, the project has quickly grown into a system that includes two edge devices, a cloud server, and automatic identification of animals using machine learning. The project has been completely open source from the beginning and sees regular contributions from a wide variety of volunteers. In New Zealand, our birds are our taonga, our precious things.

A morning of presentations will be followed by an afternoon of roundtables, with sessions catering to the whole RPA team: from Digital Transformation Leaders to RPA developers. Intelligent Robotic Process Automation Summit is the next frontier for businesses looking to streamline processes, increase productivity, and ultimately improve the bottom-line. Join us to hear from subject matter experts currently evaluating RPA for their businesses in areas such as Finance, Procurement, HR, Outsourcing, and more! This event will provide key strategic insights from leading figures across industry; revealing and discussing the multitude of business practices currently in use, with a view to explore the best business practices for RPA and AI implementation. This event will clarify the significant benefits of RPA across all US sectors, while providing practical case studies on how to internally model your business in order to avoid the pitfalls which RPA projects can bring.

Artificial intelligence systems can be attacked. The methods underpinning the state-of-the-art artificial intelligence systems are systematically vulnerable to a new type of cybersecurity attack called an "artificial intelligence attack." Using this attack, adversaries can manipulate these systems in order to alter their behavior to serve a malicious end goal. As artificial intelligence systems are further integrated into critical components of society, these artificial intelligence attacks represent an emerging and systematic vulnerability with the potential to have significant effects on the security of the country. These "AI attacks" are fundamentally different from traditional cyberattacks. Unlike traditional cyberattacks that are caused by "bugs" or human mistakes in code, AI attacks are enabled by inherent limitations in the underlying AI algorithms that currently cannot be fixed. Further, AI attacks fundamentally expand the set of entities that can be used to execute ...

GSX is about discovery as much as it is about anything else. While many counterparts will be laser-focused on one aspect of security products or partnerships, some attendees are simply seeking out the latest innovations available to help them create safer and more personalized environments for their respective organizations and or customers. This is where my journey with GSX (formerly ASIS) comes into play. I have been fortunate to be able to do just that! I have helped unveil and deploy innovative biometric solutions to organizations of scale since 2013.

Stanislas will join Spacemaker.ai as a Data Scientist and Architect. He received his undergraduate degree in Architecture at the Swiss Federal Institute of Technology of Lausanne, and his Master in Architecture from Harvard University. Focusing his practice around Architecture and Technology, his work mainly tackles the integration of Artificial Intelligence in the design process. More specifically, Stanislas' Master thesis investigated the possibilities offered by recent generative models, such as Generative Adversarial Neural Networks. Leveraging nested GAN models, Stanislas implemented a generative "stack", allowing designers and architect to draw seamlessly potential architectural design options.