German scientists are developing a smartwatch to correct bad posture. Engineers at TU Kaiserslautern and the German Research Centre for Artificial Intelligence are building a prototype of their vision, which would alert wearers to slouching. Using sensors worn under clothes and inside shoes, it would monitor angular velocity, which is the rate of change of angular position of a rotating body. It would then process this data against motion parameters, such as how much the spine moves and at what angle, then issue an alert if the posture was insufficiently upright. Using sensors worn under clothes and inside shoes, it would monitor angular velocity.

An example of how AI improves patient care is Amsterdam UMC's partnership with SAS. The project was able to clinically diagnose patients with colorectal liver cancer, the third most common cancer worldwide, using Computer vision and predictive analysis. Previously, this process required manual examination which was time-consuming and subjective to the radiologist. Automating this process has increased accuracy and saved time to ensure patient survival. Whether it's image analysis to detect cancer or other diseases immediately, predicting the number of patients to ensure the right number of doctors and hospital beds are available or using natural language processing (NLP) to understand lengthy patients reports – the potential for technological enhancement in healthcare is colossal.

The ability to forecast events at scale, given a set of variables, is something most companies would find useful. So Amazon is aiming to make prediction more accessible with a fully managed service called Forecast that uses AI and machine learning to deliver highly accurate forecasts. As Amazon explained in a press release, Forecast -- which is based on the same technology the Seattle company uses to anticipate demand for hundreds of millions of products every day -- can be used to build precise forecasts for virtually any business condition, including product demand and sales, infrastructure requirements, energy needs, and staffing levels. It automatically provisions the necessary cloud infrastructure and processes data, building custom AI models hosted on AWS without requiring an ounce of machine learning experience on the part of developers. Amazon says the API or a console allows the average person to build custom machine learning models in less than five clicks and achieve accuracy levels that would normally take months in as little as a few hours.

Robert Chang, a Stanford ophthalmologist, normally stays busy prescribing drops and performing eye surgery. But a few years ago, he decided to jump on a hot new trend in his field: artificial intelligence. Doctors like Chang often rely on eye imaging to track the development of conditions like glaucoma. With enough scans, he reasoned, he might find patterns that could help him better interpret test results. That is, if he could get his hands on enough data.

Tel Aviv is the city with the highest number of startups per capita in the world, according to the 2018 Global Startup Ecosystem report -- more than 6,000, of which 18 are unicorns. The city's tech cluster, dubbed Silicon Wadi, is home to more than 100 venture capital funds, plus hundreds of accelerators and co-working places. "Tel Aviv is transitioning from startup nation to scale-up nation," says Eyal Gura, co-founder of Zebra Medical Vision. Amit Gilon, an investor at Kaedan Capital VC fund, agrees – adding that Israel is not just about successful B2B companies anymore, such as Checkpoint, Nice and Amdocs, but also about "big B2C success stories like Playtika, Wix, Fiverr and others". Founded in 2015, Arbe has built a 4D ultra-high-resolution imaging radar for cars.

As revolutionary as blockchain technology is, it is no secret that a number of flaws remain present. Notably, a number of existing blockchains are still unable to reach consensus on how to improve speed and scalability, without compromising on security and decentralization. While the technology does offer a number of key benefits, the underlying network is arguably not fit for purpose. With that being said, we seek to explore whether emerging technologies such as artificial intelligence (AI) can enhance the capabilities of existing blockchain frameworks. Whether it's with respect to manufacturing processes, the customer experience, agriculture or health care – the benefits of AI are practically endless.

The financial services industry has seen a great deal of disruption from digital-based alternatives. Many of these challengers use advanced technology and expanded data sets to offer apps that provide financial solutions at a lower cost, with less friction and greater personalization than traditional bank or credit union offerings. Toronto-based startup Flybits believes that the best way to compete in the future is not just by developing innovative products and services, but by becoming the repository of choice for data in addition to money. "I definitely see that banks are in a perfect position, if they innovate right, to be the perfect data vaults for the future – managing the privacy and also the data of their customers," says Hossein Rahnama, CEO and Co-Founder of Flybits, in an exclusive interview for Banking Transformed, a new podcast from Jim Marous and The Financial Brand. "Using AI and machine learning, there is the potential to build a'data marketplace' for banks, fintechs and other data providers to partner and build more services together."

Facial-recognition software is increasingly being used to track individuals without their permission.Credit: David McNew/AFP/Getty China wants to be the world's leader in artificial intelligence (AI) by 2030. The United States has a strategic plan to retain the top spot, and, by some measures, already leads in influential papers, hardware and AI talent. Other wealthy nations are also jockeying for a place in the world AI league. A kind of AI arms race is under way, and governments and corporations are pouring eye-watering sums into research and development. The prize, and it's a big one, is that AI is forecast to add around US$15 trillion to the world economy by 2030 -- more than four times the 2017 gross domestic product of Germany.

AI is already on its way to transforming healthcare delivery and improving patient outcomes. However, while AI, Machine Learning, and Robotics are all designed to reduce human error and increase the predictability of patient care, they also create new risks across the healthcare liability landscape. In a situation where a healthcare provider uses AI to treat a patient who has a less than a desired outcome (or even simply an unanticipated one), we anticipate liability suits against those healthcare providers, healthcare systems, AI software companies, and robotic device manufacturers. In this post, we will consider what happens when lawsuits get ahead of science, insurance considerations in this new liability landscape, and possible modifications to legal doctrine to address this new science. What makes AI so compelling is its use of predictive, learning algorithms (Machine Learning) to improve the precision of the practice of medicine.

Jio, the world's largest mobile data network service provider, and Guavus, a Thales company and the leader in AI-powered analytics for communications service providers, announced a partnership today centered on AI-driven analytics. Guavus' AI-based solutions will provide real-time customer experience analytics, predictive analytics to automate network troubleshooting, and key marketing insights to Jio. As a result, Jio will be able to offer superior service to its customers while addressing critical service operations with intelligent automation. Jio is one of the world's largest and fastest growing data service operators with more than 300 million subscribers. The Indian service provider, which has disrupted the market with its affordable data plans and unlimited calling benefits, has created a completely digital experience for its users ranging from data services on smartphones, to gigabit Internet at home, along with a portfolio of media offerings and IoT devices such as smart speakers and switches for the smart home.