Chinese billionaire investor and media mogul Bruno Wu is planning on building a $300 million blockchain, cryptocurrency, and artificial intelligence (AI) hub in Hartford, Connecticut for talent development. According to Business Insider, the Seven Stars Cloud (SSC) group is the main investment entity in the project and is owned by Bruno. It announced plans to build a "Fintech Village" in the area in July. The center will serve as a hub for the company and others to collaborate on tech projects, mostly involving cryptocurrencies, robotics, and machine learning. According to documents obtained about the hub by Business Insider, a related FinTech college project is also set to be launched at the Hartford campus. The company is also going to form partnerships with universities and colleges in Connecticut as well as offer tech-related courses, specifically in relation to cryptocurrencies and artificial intelligence.

Migraine Buddy, from Singapore-based Healint, uses sensor technology, analytics and machine learning to track all aspects of these chronic, severe headaches. Able to store patient-reported data in real time, the platform generates a history that patients can share with their physicians to understand and treat the condition. "We aim to provide an artificial-intelligence powered navigation system that enables each patient to obtain the best possible treatment at any point in time," explains Francois Cadiou Healint founder and CEO and author of a study that collected data from 1,500 Migraine Buddy users. Accessible via iOS and Android mobile devices and tablets, it includes pure voice control via Amazon's Alexa.

Over the past few decades, machine learning has emerged as the real-world face of what is often mistakenly called "artificial intelligence." It is establishing itself as a mainstream technology tool for companies, enabling them to improve productivity, planning, and ultimately, profits. Michael Jordan, professor of Computer Science and Statistics at the University of California, Berkeley, noted in a recent Medium post: "Most of what is being called'AI' today, particularly in the public sphere, is what has been called'machine learning' for the past several decades." Jordan argues that unlike much that is mislabeled "artificial intelligence," ML is the real thing. He maintains that it was already clear in the early 1990s that ML would grow to have massive industrial relevance.

The little robotic waiter wheels up to the table, raises its glass lid to reveal a steaming plate of local Shanghai-style crayfish and announces in low, mechanical tones, "Enjoy your meal." The futuristic restaurant concept is the latest initiative in Chinese e-commerce giant Alibaba's push to modernise service and retail in a country where robotics and artificial intelligence are increasingly being integrated into commerce. Raising efficiency and lowering labour costs are the objectives at Alibaba's "Robot.He" diners, where waiters have been replaced by robots about the size of microwave ovens, which roll around the dining room on table-high runways. And two shifts of people are needed," said Cao Haitao, the Alibaba product manager who developed the concept. "But we don't need two shifts for robots and they are on duty every day." The diners are attached to Alibaba's new Hema chain of semi-automated supermarkets, where grocery shoppers fill their "carts" on a mobile app and have the merchandise brought to them at checkout via conveyor tracks on the ceiling, or delivered straight to their homes. Alibaba now has 57 Hema markets in 13 Chinese cities, all of which will eventually feature the robotic restaurants. Industry experts say they serve more as showcases of Alibaba's tech prowess than a serious business model in a country where labour costs are relatively low. But the restaurants also typify the rapid adoption of new technologies in a country where the government is increasingly using facial-recognition technology to police streets and identify law-breakers. With digital payments via mobile phone already now rivalling cash for many purchases, growing numbers of pharmacies, bookstores and other retailers have dispensed with cashiers, allowing customers to order and pay for their desired merchandise, which is often handed over by a robot. Alibaba's e-commerce rival JD.com has announced plans to open 1,000 restaurants by 2020 in which food will be prepared and served by robots. JD.com and others are also working to incorporate airborne drones into their delivery networks. The movement could help companies reduce costs as growth rates in China's e-commerce boom begin to plateau. "Before, everyone was all going for rapid expansion.

As a Japanese, I grew up watching anime like Neon Genesis Evangelion, which depicts a future in which machines and humans merge into cyborg ecstasy. Such programs caused many of us kids to become giddy with dreams of becoming bionic superheroes. Robots have always been part of the Japanese psyche--our hero, Astro Boy, was officially entered into the legal registry as a resident of the city of Niiza, just north of Tokyo, which, as any non-Japanese can tell you, is no easy feat. Not only do we Japanese have no fear of our new robot overlords, we're kind of looking forward to them. It's not that Westerners haven't had their fair share of friendly robots like R2-D2 and Rosie, the Jetsons' robot maid.

The intelligent network market report aims at estimating the market size and growth potential of the market across segments: application, end-user, enterprise size, and region. Northbrook, IL -- (SBWIRE) -- 07/30/2018 -- The information cognition segment is expected to grow faster during the forecast period. Among applications, information cognition is expected to have a larger market share during the forecast period, as there is an increasing need for information cognition on data accumulation of networking operations which include network characteristics, trace route, traffic matrix, and other such data functionalities. The telecom service providers segment is estimated to have the largest market size in 2018. Among end-users, the cloud service providers segment is expected to grow at the fastest rate during the forecast period.

Health insurance is a critical component of the healthcare industry with private health insurance expenditures alone estimated at $1.1 billion in 2016, according to the latest data available from the Centers for Medicare and Medicaid Services. This figure represents 34 percent of the 2016 National Health Expenditure at $3.3 trillion. In this article, we will look at four AI applications that are tackling problems of underutilization and fraud in the insurance industry. Some applications below claim that they are using artificial intelligence to help improve health insurance cost efficiency, while reducing waste of money on underutilized or preventable care. Other applications claim to detect fraudulent claims.

A facial recognition system will be used across an Olympics for the first time as Tokyo organizers work to keep security tight and efficient during the 2020 Games. The NeoFace technology, developed by NEC Corp., will not be used on spectators. Instead, it will be customized to monitor athletes, officials, staff and media at over 40 venues, games villages and media centers. The system was officially unveiled by Olympic and company officials on Tuesday. Local organizers said Tokyo will be the first Olympic host to introduce the face recognition technology at all venues.

The 2020 Summer Olympics in Tokyo will deploy a facial recognition system to identify more than 300,000 athletes, staff, volunteers, and journalists at the games. It's the first time that facial recognition technology will be used for security at the Olympics. The planned system is supposed to address several unique security considerations for the upcoming games. Unlike many previous Olympics, Tokyo will not have a centralized Olympic Park in which athletes and others can travel freely between the main facilities--instead, the 2020 Games will be spread out across the Tokyo metropolitan area. Given that setup, people will need to authenticate their identities at more than 40 venues across the city, which could potentially lead to longer wait times to enter the facilities.

AP: As AI feeds on data, it requires good quality and large volumes of it. In India we have just started realizing the importance of centralized data collection and by collecting data from images, PPTs, cameras, identification numbers, and others, we have been able to collect lot of data. Given a diversity of languages, speech, demographic and other factors, we have the potential of collecting variety of data, which needs to be centralized to access it. Government has realized the importance of AI and is driving focus on it. Niti Aayog and other government bodies are realizing the importance of AI and bringing initiatives to boost its developments in India.