13 major trends in AI
Where will the AI ​​in 2018 go? AI will penetrate people's daily lives and become the creators of mainstream content. This paper summarizes the 13 major predictions made by industry leaders in the AI ​​field in 2018.
In 2017, the Wall Street Times, Forbes and Fortune magazine called "the first year of AI (Artificial Intelligence)", the results of artificial intelligence are quite rich.
AI outperforms both pros and poker players in new areas. Through a variety of online projects, the scope of education for deep learning has been expanded in one step. Recently Microsoft announced that the accuracy of speech recognition has repeatedly broken the previous record. Research institutions and organizations such as Oxford University, Massachusetts General Hospital, and General Electric's Avitas system are betting deep learning supercomputers.
In 2017, the AI ​​field achieved many results.
Where will AI go in 2018?
The following are 13 predictions from the world's top researchers and industry leaders on the development of the AI ​​field in 2018. Let us hear what these smartest brains say.
“In 2018, AI equipment will be launched in the pharmaceutical industry. We will embed algorithms into our products and integrate and validate them so that solutions from concepts can take root, so doctors can work with AI equipment.
By the end of 2018, AI technology will be embedded in the diagnostic system of medical systems in many forms, and will be used in most diagnostic medicine fields. At the same time, population health, medical operations and a large part of clinical diagnosis will be rapidly Popularize AI technology. In 2018, globally, we will use AI technology to truly change the way healthcare providers work and how patients experience medical services. â€
-- Mark Michalski, executive director of the Massachusetts General Hospital and Clinical Data Science Center.
Deep learning will subvert engineering simulation and design“In 2018, in-depth learning will overturn engineering simulation and design. In the next three to five years, deep learning will accelerate the product development cycle and reduce it from the past to the monthly count in terms of product characteristics, performance and A rapid innovation model is given on the cost of the R&D pipeline"
-- Marc Edgar, Senior Information Scientist at the General Electric Research Department.
AI will be included in the routine system of medical diagnosis“In 2018 and in the next few years, our diagnostic system will be deeply embedded in AI technology, but we will not call it an AI device, but just a conventional system. People will ask: 'Before these systems are not, we are How do you live?'"
- Luciano Prevedello, MD, MS in Public Health, from the Ohio State University Wexler Center for Radiology and Radiology.
AI will become the creator of mainstream content“Seeing the speed of AI is so fast, I hope it can create personalized media, such as music, based on personal tastes. Imagine that future music services not only play old songs you might like, but also continue to create your heart. New song."
-- Jan Kautz, Senior Director of NVIDIA's Visual Computing and Machine Learning Research.
AI will continue to penetrate other technology industries“AI will influence and drive the development of 25% of the technology industry. The key is how organizations and practitioners face the changes brought about by AI technology.â€
-- Nicola Morini Bianzino, Head of Accenture's Artificial Intelligence and Development and Technology Decision Steering.
Biometrics will replace credit cards and driver's licenses“With AI technology, facial information will become people's credit cards, ID cards and barcodes. With the maturity of biometrics, face recognition has become very safe as personal information authentication. Traditional retail industry combined with AI technology will bring us For a better experience, like Amazon and Whole Foods Supermarket. In the near future, people no longer have to queue up at the mall."
--Georges Nahon, CEO of Orange Silicon Valley; Chairman of Orange InsTItute, a joint research laboratory for global research.
New deep learning technology will make data processing more transparent“Deep learning will significantly improve the reliability of quantitative analysis in radiology reports. People are less worried about deep learning as a “black box†because new technologies will help us understand deep learning†of."
- Bradley J. Erickson, MD, Radiology Consultant; Biomedical Statistics and Informatics Consultant, Department of Health Sciences; Vice President of Radiology Research, Mayo Clinic.
AI and deep neural networks will be deployed in smartphones“A large number of apps on smartphones will run deep neural network algorithms to support the implementation of AI technology. Home robots will be smarter and cost less.
They blend the interactions of vision, language and voice, making it difficult for users to perceive the differences between different communication methods. â€
-- Robinson Piramuthu, chief scientist of computer vision at eBay.
AI will go deep into people's daily lives“Robots will perform better in complex tasks that humans think, such as walking around and crossing objects in the room. They are also more comfortable with the cumbersome things. I also look forward to the progress of natural language processing because of this. The technology still has a lot of room for improvement.
In the future, a large number of products embedded in AI technology will enter our lives. Waymo's L4 self-driving vehicles have been tested on the road. All of these AI projects tested in the lab are within reach of our future lives. â€
-- Chris Nicholson, CEO and co-founder of Skymind.io.
The development of AI will be more diversified“More and more people from different backgrounds are building, developing and commercializing AI projects. As development tools and infrastructure continue to improve, the process of turning data and algorithms into utility products is easier. Products and applications We will allow the underlying model to perform interactive queries while working internally, thereby increasing trust in these systems, especially in mission-critical applications. In the medical field, we will integrate multiple interdisciplinary sources of information. Use, rather than focus on, the case of a single application, although this application is currently sweeping the pharmaceutical industry."
--George Shih, founder of MD.ai; vice president and associate professor of the Department of Information Radiology at Cornell University's Weill School of Medicine.
AI will open a new chapter in contemporary astrophysics“AI technology can detect gravitational waves emitted by unknown objects in astrophysics, which opens up a new field of research for contemporary astrophysics.â€
- Eliu Huerta, head of the gravity group at the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, an astrophysicist.
AI will move from the laboratory to clinical applications“AI has reached the peak of the “technical maturity curve†in imaging. The AI ​​equipment has moved from the research laboratory to the workstation of the radiologist, and eventually became a kind of equipment at the bedside of the patient. Evaluation and implementation of medical AI equipment People, investment companies, medical organizations, and other institutions are far less attractive than other cases, such as workflow tools, quality/safety analysis, patient classification, and more.
One of the biggest challenges facing the medical and AI imaging industry is whether regulators can keep up with the pace of technological innovation. The US Food and Drug Administration (FDA) needs to find effective and sensible ways to streamline the approval process for algorithms that can be used to screen, detect, and diagnose disease. "??
- Safwan Halabi, Lucile Packard Children's Hospital, Director of Radiology, Stanford University Children's Health Center.
AI personal assistant will be smarter“The AI ​​personal assistant will become more and more intelligent. When the personal assistant learns a lot of the rules of our daily life, imagine that one day, I am no longer worried about preparing the complicated steps of dinner. My AI personal assistant will know What do I like to eat, what is in my kitchen, I like to cook at home every few days of the week, when I come back from work, the ingredients for cooking are on the steps of my door, it helps me prepare All right."
- Alejandro Troccoli, Senior Research Scientist, NVIDIA
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