The study, which polled 835 executives representing companies from industries including automotive, banking, energy, healthcare, life sciences, industrial manufacturing, and retail, also found that artificial intelligence is permeating many company areas. Perhaps unsurprisingly, IT departments are currently the biggest adopters of artificial intelligence capabilities, with 67 percent of respondents using the technology to detect security intrusions, resolve user issues, and provide automation. However, 32 percent of companies believe that by 2020, the greatest impact of artificial intelligence will be in sales, marketing, or customer service. With regard to the debate about the impact of artificial intelligence on jobs, the study indicates that artificial intelligence is being used to improve employee productivity by automating certain processes, enabling employees to devote more time to strategic business needs such as creating services that were not previously available. "As companies begin to gain a better understanding of AI's application for business, they will realize the significant impact of this transformative force.
Surgical robots are'virtually impossible to clean', study reveals Surgical robots are virtually impossible to clean, an ominous new study reveals. Machines are becoming increasingly common in operating theaters - and last week one New York hospital acquired one to perform vaginal procedures. But according to a new study in Tokyo and New York, there is no way to remove all surface contaminants from these tools - even following the manufacturer's guide. The findings suggest there is absolutely no way to avoid a risk of infection using a robotic surgeon. A new study warns there is no way to remove all surface contaminants from the tools of surgical robots - even following the manufacturer's guide (file image pictured) The views expressed in the contents above are those of our users and do not necessarily reflect the views of MailOnline.
When smartphones first began collecting health data such as users' heart rates and number of steps walked, doctors were dubious about the medical value of information gathered by a phone. Three years later, doctors have changed their minds, thanks to a series of pioneering medical studies that demonstrated the efficacy of cellphone-based medical research. The studies have confirmed that surprisingly large numbers of people can be recruited into long-term research studies on mobile phones; that their consent to participate can be obtained much more easily than in conventional studies; and that the medical data obtained can be made safely anonymous, collected and analyzed by advanced algorithms in ways never before imagined. Indeed, so much data can be collected automatically and accurately via mobile phones--without participants or lab workers having to log it--that some scientists believe it will be easier to conduct and monitor many trials involving drugs or exercise in larger populations than have been examined up to now in conventional studies. What's more, doctors believe it will be possible to give participants feedback not only about their own health but also about the population at large much faster than is possible with conventional medical studies, which often appear in scientific journals years after they're conducted.
"The One Hundred Year Study on Artificial Intelligence, launched in the fall of 2014, is a longterm investigation of the field of Artificial Intelligence (AI) and its influences on people, their communities, and society." "The One Hundred Year Study on Artificial Intelligence, launched in the fall of 2014, is a longterm investigation of the field of Artificial Intelligence (AI) and its influences on people, their communities, and society. It considers the science, engineering, and deployment of AI-enabled computing systems. As its core activity, the Standing Committee that oversees the One Hundred Year Study forms a Study Panel every five years to assess the current state of AI. The Study Panel reviews AI's progress in the years following the immediately prior report, envisions the potential advances that lie ahead, and describes the technical and societal challenges and opportunities these advances raise, including in such arenas as ethics, economics, and the design of systems compatible with human cognition.