Forecast 2018 AI trend: quickly into the hospital, can create new songs

March 3, according to Forbes magazine reported that “The Wall Street Journal,” “Forbes” magazine and Fortune magazine and other publications called 2017 “AI Year.” There are good reasons for this: AI defeated professional gamers and poker players, broadened the depth of learning education through several online projects, and the record of speech recognition accuracy was broken several times. Research institutions such as Oxford and Massachusetts General Hospital were Invest in developing your own supercomputer

These are but a few of the milestones the AI has achieved in 2017. What happens next? We have collected forecasts from the world’s leading AI researchers and industry thought leaders:

1.AI will really integrate into medicine

“The year 2018 will be a real year for AI into the medical world, and we will move from algorithms to products and more integration and validation so that these solutions can be transformed from concepts into solutions that physicians can find practical and available by the end of 2018, I think about half of the leading healthcare systems will adopt some form of AI in their diagnostic teams.Although this will first emerge in diagnostic medicine, we see demographic health, hospital surgery and a wide range of Clinics will follow, and in 2018 we will begin to adopt a technology that will truly change the way service providers work and how patients experience healthcare on a global scale. ”

– Mark Michalski, Executive Director, Massachusetts General Hospital and Brigham and Women’s Clinical Data Science Center

2. Deep learning will revolutionize engineering simulation and design

“2018 will be the year in which deep learning revolutionizes engineering simulation and design. For the next three to five years, deep learning will speed product development from years to months or even weeks to create products New paradigm for rapid innovation in functionality, performance and cost. ”

– Marc Edgar, GE Information Scientist

3.AI will be considered as part of a “regular” clinical system

“In 2018 and in the coming years, AI will be introduced into our clinical system, which will no longer be called AI, but will be called a conventional system.People will ask themselves: ‘How can we survive without these systems?’ ‘”

– Luciano Prevedello, MD, PhD in Radiology and Neuroradiology, Wexler Medical Center, Ohio State University, Master of Public Health

4.AI will be considered the mainstream content creator

“Given the rapid pace of research, I expect AI to create new, personalized media, like making music to your liking. Imagine a future music service that not only plays existing songs that you may like, but also Keep creating new songs for you. ”

– Jan Kautz, Senior Director of NVIDIA Visual Computing and Machine Learning Research

5. Technology will continue to adapt to AI

“AI will affect the next 25% of technology spending, the key theme is how organizations and human resources to deal with changes in AI technology.”

– Nicola Morini Bianzino, General Manager, Artificial Intelligence Department, Accenture, and Head of Technology Development and Strategy

6. Biometrics will replace credit cards and driver’s licenses

“Thanks to the development of AI, the face will become the new credit card, driver’s license and bar code. Facial recognition has completely changed the security of biometric functions, we will see this technology and retail convergence trend, like Amazon and In the near future, people will no longer have to queue up in stores.

– Georges Nahon, CEO, Orange Silicon Valley and President, Orange Institute Global Research Associates

7. New deep learning technologies will provide transparency on how to process data

“Deep learning will significantly increase the quantitative content of radiology reports and concerns about deep learning as” black boxes “will be greatly diminished because new technologies will help us understand the ‘vision’ of deep learning.”

– Bradley J. Erickson, Associate Director, Department of Radiology Research, Mayo Clinic, Advisor, Department of Health Sciences and Radiology; Advisor, Biomedical Statistics and Information Section

8. Smartphones can use AI and deep neural networks

“A large number of applications on smartphones will run deep neural networks to better support AI functionality, and friendly robots will start to become more affordable and become new members of the home. They will begin to make up for visual, speech and voice The gap between so that users do not realize the difference between these modes of communication. ”

– Robinson Piramuthu, Chief Scientist, eBay Computer Vision

9.AI will be more fully integrated into daily life

“Robots will perform better in complex tasks, even though these tasks have no difficulty for humans, such as allowing robots to walk freely in rooms or objects, and they are better at handling boring, routine things. I also look forward to their progress on natural language processing (NLP), although we have already had some success now and we will see more and more products that contain some form of AI coming into our lives. People driving vehicles are now deployed on the road, so those things that are tested in the labs will become more commonplace and available and will touch more of our lives. ”

– Chris Nicholson, Chief Executive Officer and Co-Founder,

10.AI development will be more diverse

“We are starting to see more and more people from all backgrounds involved in the construction, development and production of AI Tools and infrastructure will continue to improve to make it easier for more people to bring their data and Algorithms into useful products or services.Products and applications will allow more interactive queries on the inner workings of the underlying models and help enhance trust and confidence in these systems, especially in mission-critical applications. In the medical field , We will see the convergence of different sources of information across multiple disciplines, rather than focusing on individual cases, although the scope of these targeted applications will continue to grow at a fanatical rate. ”

– George Shih, Founder,, Associate Professor and Associate Director, Department of Radiology, Weill Cornell Medical School

11.AI will open up new areas of research in contemporary astrophysics

“AI will be able to detect an unexpected astrophysical event that emits gravitational waves, opening up entirely new areas in contemporary astrophysics.”

– Eliu Huerta, Astrophysicist, National Supercomputing Center, University of Illinois at Champaign, Gravity Team Leader

12.AI will be transferred from the research laboratory to the patient’s bedside

“AI has reached the climax of the ‘publicity curve’ in imaging and we will begin to see AI-powered tools moving from the research lab to the radiologist’s workstation and eventually to the bedside. Less attractive use cases (such as , Workflow tools, quality / safety, patient classification, etc.) will begin to grab the attention of developers, insurance companies, healthcare providers and others.Medical and Imaging One of the biggest challenges facing the AI ‚Äč‚Äčindustry is whether regulators can keep up with the ongoing What happens is that the FDA will need to find efficient and streamlined ways to review and approve algorithms for screening, detecting and diagnosing diseases. ”

– Safwan Halabi, Medical Director, Department of Radiology, Lucerne Packard Children’s Hospital, Stanford Medical Center

13.AI personal assistant will become smarter

“Personal Assistant AI is getting smarter and smarter When our personal assistant knows more about our daily life, I can imagine: I do not have to worry about everyday dinners anymore. My AI assistant knows what I like to eat in my closet Someday, I might cook at home someday and make sure that when I get home from get off work, all the groceries I need have been left in front of the house, allowing me to prepare my long-awaited delicacy. ”

– Alejandro Troccoli, senior research scientist at NVIDIA