The Medicaid Innovations Forum is a highly anticipated annual event that offers a unique combination of forward-thinking perspectives, first-hand case studies and examples of true innovation from both Medicaid managed care plans and state government agencies. Visit the AllazoHealth Booth at the Medicaid Innovations Forum to learn how we are leveraging artificial intelligence to identify adherence risk for individual high-risk Medicaid patients with chronic disease and multiple medications. Join us in Orlando to discover how AllazoHealth can provide specific and effective interventions to help Medicaid managed care plans improve patient behaviors and meet quality measures to achieve HEDIS score goals. To make an appointment to meet with an AllazoHealth representative at the Medicaid Innovations Forum, contact us today. AllazoHealth is a healthcare AI solution that uplifts adherence by predicting individual patient behavior and specifying personalized interventions.

As the autonomous vehicles landscape is rapidly evolving on a daily basis worldwide, it is evident that more and more major Automotive giants are entering the market. The transport revolution has not left these major players "unmoved" investing significantly into new technologies; collaborating with government and policy makers; and with brands working closer together than ever before across different sectors. With this in mind, it was interesting to see that the automotive market the past 2 weeks has been focused on a major investment by one of the industry's biggest players. KIA and Hyundai announced on the 16th of January that they will be investing 100 million euros in Arrival. The big investment signals the beginning of a strategic partnership between the 2 automotive makers and the start-up with a common goal to jointly accelerate the adoption of commercial electric vehicles globally.

The shipping industry is growing in confidence at AI technology's capacity to run processes at container terminals and expects it to play a big role in operations in the near future. In a survey by Navis, 83% of respondents expect to increase their investment in AI technologies within the next three years. A large proportion of participants also agreed that AI could be involved in automating processes at terminals, such as container handling equipment assignments (81%), decking systems (81%), recommended actions (69%), predicting gate volumes (59%), and stowage of vessels (52%). Approximately 56% said they were either trialling technologies or carrying out research into AI capabilities. However, there is some way to go yet as just 11% confirmed they were already using AI in some capacity in terminal operations. As for what they anticipate the biggest challenge to be with AI, 68% stated that it was a lack of skills in the technology.

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But it's not only in the common room that robotics is being employed. Upstairs, staff have access to robotic exoskeletons that fit around the waist and lower back: these apparatuses ease the severe body strain as they help their elderly clients get in and out of bed. "Japan is facing major demographic challenges due to the elderly wave, low fertility rates and a shrinking population. This leads to a number of issues facing Japanese society which the West can learn from," says Roger A Søraa, robotics researcher at Centre for Technology and Society in Norway. "Elderly care facilities and hospitals see a severe lack of healthcare workers; there are not enough humans to do the tasks the way they used to be done."

The manufacturing sector is envisioned to be heavily influenced by artificial intelligence-based technologies with the extraordinary increases in computational power and data volumes. Data-driven methods use sensor data, such as vibration, pressure, temperature, and energy data to extract useful features for diagnosis and prediction. A central challenge in manufacturing sector lies in the requirement of a general framework to ensure satisfied diagnosis and monitoring performances in different manufacturing applications. In a new research article published in the Beijing-based National Science Review, Prof. Ye Yuan from the School of Artificial Intelligence and Automation and Prof. Han Ding from the State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, jointly proposed an end-to-end diagnostic framework that can be used in diverse manufacturing systems. This framework exploits the predictive power of convolutional neural network to automatically extract hidden degradation features from noisy time-course data.

In the first episode of the Netflix adaptation of Vikram Chandra's best-selling novel, Sacred Games, the criminal kingpin Ganesh Gaitonde makes a phone call to a detective, Sartaj Singh. "I want to tell you a story," Gaitonde says. And off we go, launched into an intoxicating tale of gangster drama, loaded with sex and politics and religion and history, punctuated with Bollywood songs and the tantalizing mélange of half a dozen languages. Gaitonde's story drives the plot, but a welter of other narratives intersect and circle around each other, clash and complement. For those familiar with Chandra's work, the upfront declaration--I want to tell you a story--is a multimedia calling card.

Qiang Yang, a professor at the Hong Kong University of Science and Technology, was looking forward to AAAI, one of the big artificial intelligence conferences, which takes place in New York this week. Yang was due to present an award-winning paper describing a way for an AI algorithm to perform image recognition by drawing from different datasets without ever revealing their contents. He decided to cancel his trip due to the global health emergency triggered by the coronavirus in China. Yang estimates that around 800 attendees from mainland China, about a fifth of the 4,000 registered for the conference, will miss the event due to a travel ban imposed by the US on Monday. "It's a big pity," Yang says via WeChat from his home in Hong Kong.

The combination of human expert and artificial intelligence can efficiently eradicate the spread of coronavirus. FREMONT, CA: The coronaviruses are a massive family of viruses that are popular among several species of animals like cattle, bats, camels, and cats. Animal coronavirus can rarely infect people, but it can spread among the public with severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), and recently identified through novel coronavirus (nCOV). The first human case of the virus was recognized last year in December in the district of Wuhan, China. It is being predicted that the virus was originated from seafood. The symptoms of the infection are cough, fever, shortness of breath, and sore throat.

Indian Institute of Technology Madras students were part of an international research project led by a Queen's University Belfast Researcher in the U.K. who has developed an innovative new algorithm to make Artificial Intelligence (AI) fairer and less biased when processing data. Dr. Deepak Padmanabhan, Researcher at Queen's University Belfast and Adjunct Faculty Member at IIT Madras, has been leading an international project, working with Ms. Savitha Abraham and Ms. Sowmya Sundaram, PhD Students, Department of Computer Science and Engineering, IIT Madras, to tackle the discrimination problem within clustering algorithms. Companies often use AI technologies to sift through huge amounts of data in situations such as an oversubscribed job vacancy or in policing when there is a large volume of CCTV data linked to a crime. However, while AI can save on time, the process is often biased in terms of race, gender, age, religion and country of origin. Dr. Padmanabhan said that AI techniques for exploratory data analysis, known as'clustering algorithms', are often criticised as being biased in terms of'sensitive attributes' such as race, gender, age, religion and country of origin.