In addition to these new attachment types, we've also raised the attachment file size limit to 25 MB for paginated reports to provide new options for popular customer scenarios like scheduled large data exports.

A survey with 83 Gartner Research Circle members indicates that, among 35% of the respondents, "identifying use cases for AI" was the top three challenges in exploring and adopting AI. It's impossible to recommend a single use case that is applicable for every city, because different cities have different priorities for their smart city projects. Among all the IoT use cases in smart cities, which keep evolving and expanding, ensure you give priority to those use cases of higher value. How can the value of use cases be defined in a smart city context then? There are some general principles to follow based on two key parameters: value that the project would bring to the citizens and value that the project would deliver for the governments.

KOCHI: Don't be surprized if you receive personalized offers based on your vehicle profile, the next time you pull into an Indian Oil petrol pump. Neuroplex, a startup that emerged from Future Technologies Lab an initiative by Kerala Startup Mission has signed an agreement with Indian Oil Corporation (IOC) to use artificial intelligence (AI) to qualitatively improve customer interaction and safety in their petrol pumps across the country. Their signature product'Eyes Age' uses deep learning to empower video surveillance with AI capabilities. It creates visual relationships between objects in the video which allows for a logical analysis of video data. "The system can identify customers by analysing the number plate of the vehicle and give them unique offers," said Keerthi, a developer with Neuroplex.

Adobe, along with researchers from the University of California, Berkeley, have trained artificial intelligence (AI) to detect facial manipulation in images edited using the Photoshop software. At a time when deepfake visual content is getting commoner and more deceptive, the decision is also intended to make image forensics understandable for everyone. "This new research is part of a broader effort across Adobe to better detect image, video, audio and document manipulations," the company wrote in a blog post on Friday. As part of the programme, the team trained a convolutional neural network (CNN) to spot changes in images made with Photoshop's "Face Away Liquify" feature, which was intentionally designed to change facial features like eyes and mouth. On testing, it was found that while human eyes were able to judge the altered face 53 percent of the time, the the trained neural network tool achieved results as high as 99 percent.

What precautions (for security and privacy) should I take when buying smart home devices which connect to the Internet? Our IoT devices know a lot about us. They hold our banking information, our health records, our family memories. They even know where we parked our car this morning (just in case we forget). With all that personal data tucked into a 5x2-inch box, we assume we can trust the security and privacy measures deployed.

China's once scorching tech sector is cooling off. "Winter is coming," laughs Lin Liu, a 29-year-old Shanghai tech worker. Electric vehicles, industrial robots, and microchip production all slowed recently. Big firms like Alibaba, Tencent, and search engine Baidu have slashed jobs. Overall, one in five Chinese tech companies plans to cut recruitment, says jobs site Liepin.com.

The American IT MNC, IBM, recently celebrated the women pioneering the AI Business worldwide. These ladies have employed AI in most efficient manner to accelerate, innovate and transform their companies. In an event organised by IBM at IBM Watson Experience Center in New York, the company celebrated the honorees and women leaders also shared their valuable experiences in coming ahead with AI initiatives. Also, students from IBM's P-Tech program attended the event to grasp knowledge from their wits. Michelle Peluso, SVP, Digital Sales & CMO, IBM stated at the event, "Artificial Intelligence is poised to drive dramatic advances in every industry. Today, we are sharing the stories of more than 30 incredible women, who are paving the way forward in how AI is advancing businesses and changing how people work and live. At IBM, we know gender equality is critical and nowhere is this more important than in AI. We hope the stories shared today will encourage many more women to take a leadership role in shaping the future of this important technology."

While the NFL is not normally known for embracing change, certain teams around the league have been quick to adapt to new technologies that will give them an edge or help improve existing training methods. In 2016, the Pittsburgh Steelers were one of the first to trial tackling robots at practice, a device ultimately purchased by a number of NFL teams and colleges. Now it would appear that the use of robotics in football has taken a significant leap forward with the invention of a device that is most simply described as a robotic quarterback. Created by a group of alumni from Iowa University and their company Monarc Sports Robotics, "The Seeker" is capable of delivering a football to any predefined point on the field using tracking software or being used as a more accurate version of a jugs machine. Here's the story behind Seeker, the world's first robotic quarterback developed by Monarc Inc and currently being trialled by a host of NFL and college football teams.

Vehicle routing problems have been the focus of extensive research over the past sixty years, driven by their economic importance and their theoretical interest. The diversity of applications has motivated the study of a myriad of problem variants with different attributes. In this article, we provide a brief survey of existing and emerging problem variants. Models are typically refined along three lines: considering more relevant objectives and performance metrics, integrating vehicle routing evaluations with other tactical decisions, and capturing fine-grained yet essential aspects of modern supply chains. We organize the main problem attributes within this structured framework. We discuss recent research directions and pinpoint current shortcomings, recent successes, and emerging challenges.

According to Thomas Edison, g, for example a fragrance composed of 700 g of "ingredient "Genius is one percent inspiration and 99 percent A" and 300 g of "ingredient B". A fragrance can have desired perspiration" is an example. In many situations, properties related to aromatics (e.g., the type of smell), researchers and inventors already have a variety popularity (e.g., frequent patterns of ingredient combinations, of data and manage to create something new or combinations that should be avoided), and appropriateness by using it, but the key problem is how to select for certain use cases (e.g., combinations for perfumes, shampoos, and combine knowledge. In this paper, we propose or hand soaps). Perfumers who create new fragrances a new Markov chain Monte Carlo (MCMC) algorithm seek to develop various fragrances with desired properties. It to generate composition ratios, nonnegativeinteger-valued is also possible that perfumers are willing to accept certain vectors with two properties: (i) the fragrances lacking some desired properties, because they can sum of the elements of each vector is constant, and still draw inspiration from such fragrances. Thus, it is interesting (ii) only a small number of elements is nonzero.