One of the popular measures of central tendency that provides better representation and interesting insights of the data compared to the other measures like mean and median is the metric mode. If the analytical form of the density function is known, mode is an argument of the maximum value of the density function and one can apply the optimization techniques to find mode. In many of the practical applications, the analytical form of the density is not known and only the samples from the distribution are available. Most of the techniques proposed in the literature for estimating the mode from the samples assume that all the samples are available beforehand. Moreover, some of the techniques employ computationally expensive operations like sorting. In this work we provide a computationally effective, on-line iterative algorithm that estimates the mode of a unimodal smooth density given only the samples generated from the density. Asymptotic convergence of the proposed algorithm using an ordinary differential equation (ODE) based analysis is provided. We also prove the stability of estimates by utilizing the concept of regularization. Experimental results further demonstrate the effectiveness of the proposed algorithm.

Ben Gurion, the main international airport in Israel, is one of the most protected airports in the world. It is known for its multilayered security. On the way from the office to the airport, you get caught in the lens of airport cameras. The road curves several kilometers to the terminal, and when you are driving, the security system has enough time to analyze your identity. In case of any signs of danger, you will be intercepted. The system of behavior anomalies analysis in computer systems works the same way.

According to a story in The Japan Times, the school will feed the AI information about 9,000 suspected bullying cases reported by Otsu's elementary and junior high schools between 2012 and 2018. This information will include details on the students involved -- their ages, genders, absenteeism records, and academic achievements -- as well as when and where any bullying incidents took place. "Through an AI theoretical analysis of past data, we will be able to properly respond to cases without just relying on teachers' past experiences," Otsu Mayor Naomi Koshi said, according to The Japan Times. The hope is that the AI will allow school officials to identify the bullying cases that are likely to escalate in seriousness so that they can intervene and diffuse the situation before it's too late. "Bullying may start from low-level friction in relationships, but can get worse day by day," an Otsu education board official said, according to The Japan Times.

The term'Centre of Excellence' has become very popular in the last few years among organisations of all stripes. CoEs are now being set up to attract talent and develop proof of concepts (PoC) around emerging technologies. The main goal of a CoE is to help an organisation improve its expertise in a particular area and make the most of its resources. Recently, we have seen the development of several incubators and accelerators by major financial companies and tech giants that are tapping into the thriving Indian ecosystem to develop expertise in emerging technologies. India is already proving to be the hub for CoE, especially in areas like analytics and business intelligence.

Welthungerhilfe, one of Germany's largest private aid organisations, in collaboration with the India chapter of Action Against Hunger, has launched an app called Child Growth Monitor. The app uses Microsoft's Artificial Intelligence technology to monitor children's growth and levels of nutrition, and helps in fighting malnutrition. Child Growth Monitor has been launched as a pilot project in India. The app scans nearly 10,000 children under the age of five for signs of malnutrition. It is powered by Microsoft Azure and AI services.

Artificial intelligence (AI) could contribute up to $15.7 trillion to the global economy by 2030, according to PwC. Meanwhile, Forrester has warned that cybercriminals can weaponize and exploit AI to attack businesses. And we've all seen the worrisome headlines about how AI is going to take over our jobs. Toss in references to machine learning, artificial neural networks (ANN), and multilayer ANN (aka deep learning), and it's difficult to know what to think about AI and how CISOs can assess whether the emerging technology is right for their organizations. Gartner offers some suggestions on how to fight the FUD, as do Gartner security analysts Dr. Anton Chuvakin and Augusto Barros, who help demystifying AI in their blogs (not without a good note of sarcasm).

What's New: Non-profit RESOLVE's* new TrailGuard AI* camera uses Intel-powered artificial intelligence (AI) technology to detect poachers entering Africa's wildlife reserves and alert park rangers in near real-time so poachers can be stopped before killing endangered animals. TrailGuard AI builds on anti-poaching prototypes funded by Leonardo DiCaprio Foundation and National Geographic Society. "By pairing AI technology with human decision-makers, we can solve some of our greatest challenges, including illegal poaching of endangered animals. With TrailGuard AI, Intel's Movidius technology enables the camera to capture suspected poacher images and alerts park rangers, who will ultimately decide the most appropriate response." How It Works: TrailGuard AI uses Intel Movidius Vision Processing Units (VPUs) for image processing, running deep neural network algorithms for object detection and image classification inside the camera.

As enterprises continue to leverage artificial intelligence (AI), the chips assigned to do AI-specific tasks are in high-demand. The global AI chip market is expected to increase from just over $5 billion to nearly $92 billion by 2025. This is according to a report by Allied Market Research, which also pegged Asia-Pacific as the fastest growing regional buyer of the technology. There are numerous explanations behind the increase in AI and the chips that power AI systems. The Emergence Of Smart Cities: With 65% of the world's population projected to be living in urban areas by 2040, more cities are harnessing AI to improve living standards, collect data, and manage resources efficiently.

In the changing tech scenario in India, noted and well-established institutes have now also started to step forward and train students as well as the professionals in artificial intelligence and machine learning. The institutes are providing both the current needs of algorithms and mathematical insights as well as practical experiences. In this article, we list 5 tier-1 institutes that have added courses on artificial intelligence in India. About The Programme: This institute launched a dual degree specialisation in data science as well as in robotics in the year 2018. Any B.Tech student can enroll in this programme based on the CGPA cut-off of 8.0 at the end of the 5th semester.