Artificial intelligence is defined as the engineering and science of making intelligent computer systems that can exhibit intelligence like humans (natural intelligence) and perform tasks directly without any human intervention. AI in healthcare uses software and algorithms to approximate human perception in order to analyze complex medical data and to analyze the relationship between treatment or prevention techniques and patient outcomes. Reasons for Doing the Study: AI has established itself as an important component of the life science industry.There is enormous potential for future applications, but there are also many near-term commercial opportunities, and the list of new products and applications is continuously growing. This report will help companies to better evaluate the many potential applications and to identify commercial opportunities for product development and competitive strategy. The information contained here will assist companies in prioritizing product opportunities and establishing solid frameworks for their strategic planning.

Artificial intelligence is defined as the engineering and science of making intelligent computer systems that can exhibit intelligence like humans (natural intelligence) and perform tasks directly without any human intervention. AI in healthcare uses software and algorithms to approximate human perception in order to analyze complex medical data and to analyze the relationship between treatment or prevention techniques and patient outcomes. Reasons for Doing the Study: AI has established itself as an important component of the life science industry.There is enormous potential for future applications, but there are also many near-term commercial opportunities, and the list of new products and applications is continuously growing. This report will help companies to better evaluate the many potential applications and to identify commercial opportunities for product development and competitive strategy. The information contained here will assist companies in prioritizing product opportunities and establishing solid frameworks for their strategic planning.

According to a Hookit's Year in Review Report, advertisers and broadcasters increase their budget on sponsorship deals by 5% yearly without understanding the true value of their marketing efforts. If you don't want your sports sponsorship spendings to be a shot in the dark, leverage a data-driven approach. Underpinned by innovative computer vision tech, such a method will allow you to automate the process of choosing the optimal content and platforms for advertising and analyzing the generated ad value. With one of computer vision solutions in place, you can thoroughly analyze the video footage of any sports match -- scene by scene -- and find the optimal place for ad insertions. For example, if you broadcast football, such an innovative mechanism will help you accurately detect a match's key moments like scoring chances, goals, fouls, penalties, etc. With this data at hand, you'll easily avoid interrupting the broadcast at the wrong time, ensuring smooth viewing experiences.

Intellectual Property (IP) defines intangible inventions that are a result of creativity, and increasingly is linked to new technology innovations. In a digital age, it's important to manage IP effectively and capitalize on the commercial value. The opportunity to commercialize IP in the Artificial Intelligence (AI) space has never been higher: in January, the UN's World Intellectual Property Organization (WIPO) highlighted the rapid increase in AI patent applications worldwide. More than half of the 340,000 inventions patented had taken place since 2013. Without a patent or legally enforceable IP protection, it is very difficult to commercialize an invention or idea - it undermines investment, research and development and growth opportunities.

Innovation is pivotal for businesses to remain globally competitive. Naturally then it has been a key talking point throughout the year. From the commercial opportunities of graphene to clear 3D printing and flat wine bottles, here are the top 10 innovation stories of 2018! Whether manufacturing personalised surgical guides, eye-catching consumer packaging, cutting-edge prototypes or anything in between, there are numerous advantages to 3D printing in transparent plastics. The new materials being designed, manufactured and supported have pushed clear printing to the boundaries of what's possible, offering ultra-high transparency, moisture and temperature resistance, biocompatibility, robustness and performance.

As much as we like writing about quadrupedal robots, it's always been a little bit tricky to see how they might be commercially useful in the near term outside of specialized circumstances like disaster response. We've seen some hints of what might be possible from Boston Dynamics, which has demonstrated construction inspection with SpotMini, but that's not necessarily a situation where a robot is significantly better than a human. In September, ANYbotics brought one of their industrial quadrupeds, ANYmal, to an offshore power distribution platform in the North Sea. It's very remote, and nothing much happens there, but it still requires a human or two to wander around checking up on stuff, a job that nobody wants. A crucial task for energy providers is the reliable and safe operation of their plants, especially when producing energy offshore.

That is a topic researchers at Stanford University have set out to shed some light on, with the release of the first in a series of reports in the One Hundred Year Study on Artificial Intelligence. This ambitious long-term study, known as AI100 was the brainchild of Eric Horvitz, Stanford alumnus and now managing director of the Microsoft Research lab in Redmond. Drawing on the knowledge of interdisciplinary research academics, the aim of AI100 is to give a better understanding of the potential impact of AI over the longer term. Importantly, the study is not meant to offer solutions, but rather to start a discussion centering on the best ways that AI can work for the benefit of society. Artificial Intelligence and Life in 2030 is the product of the first of a century long chain of standing committees working together over the period of the study.