{"id":3794,"date":"2017-12-08T15:53:25","date_gmt":"2017-12-08T14:53:25","guid":{"rendered":"https:\/\/www.sylviebremond.com\/2017\/12\/08\/where-is-ai-headed-in-2018\/"},"modified":"2018-06-07T16:05:39","modified_gmt":"2018-06-07T14:05:39","slug":"where-is-ai-headed-in-2018","status":"publish","type":"post","link":"https:\/\/www.sylviebremond.com\/en\/2017\/12\/08\/where-is-ai-headed-in-2018\/","title":{"rendered":"Where Is AI Headed in 2018?"},"content":{"rendered":"

13 predictions by researchers and experts from around the world.<\/b><\/span><\/p>\n

Publications like The Wall Street Journal, Forbes\u00a0and Fortune\u00a0have all called 2017 \u201cThe Year of AI.\u201d And with good reason.<\/span><\/p>\n

AI outperformed professional gamers\u00a0and poker players in new realms. Access to deep learning education expanded\u00a0through various online programs. The speech recognition accuracy record was broken multiple times, most recently by Microsoft.\u00a0And research universities and organizations like\u00a0Oxford, Massachusetts General Hospital\u00a0and GE\u2019s Avitas Systems\u00a0invested in deep learning supercomputers.<\/span><\/p>\n

These are a few of many milestones in 2017. So what\u2019s next?<\/span><\/p>\n

We\u2019ve gathered predictions from the world\u2019s leading researchers and industry thought leaders.<\/span><\/p>\n

\"direction<\/a><\/p>\n

AI Will Become Real for Medicine<\/b><\/span><\/p>\n

\u201c2018 will be the year AI becomes real for medicine. We\u2019re going to move from algorithms to products and think more about integration and validation, so that these solutions can move from concepts to real, tangible solutions for our doctors. By the end of next year, I think around half of leading healthcare systems will have adopted some form of AI within their diagnostic groups. And while a lot of this adoption will happen first in the diagnostic medical specialties, we\u2019re seeing solutions for population health, hospital operations and a broad set of clinical specialties quickly follow behind. In 2018, we\u2019ll begin the adoption of a technology that may truly transform the way providers work, and the way patients experience healthcare, on a global scale.\u201d \u2013 Mark Michalski, executive director, Massachusetts General Hospital and Brigham and Women\u2019s Center for Clinical Data Science<\/span><\/p>\n

Deep Learning Will Revolutionize Engineering Simulation and Design<\/b><\/span><\/p>\n

\u201c2018 will be the year deep learning starts a revolution in engineering simulation and design. Over the next three to five years, deep learning will accelerate product development from years to months and weeks to days to create a new paradigm of rapid innovation in product features, performance and cost.\u201d \u2013 Marc Edgar, senior information scientist, GE Research<\/span><\/p>\n

AI Will Be Considered Part of a \u201cRegular\u201d Clinical System<\/b><\/span><\/p>\n

\u201cAI in 2018 and in the coming years will be so embedded into our clinical systems that it will no longer be called AI but rather just a regular system. And people will ask themselves: \u2018How were we able to live without these systems in the past?\u2019\u201d \u2013 Luciano Prevedello, M.D., M.P.H., Radiology & Neuroradiology, Ohio State University Wexler Medical Center<\/span><\/p>\n

AI Will Be Considered a Mainstream Content Creator<\/b><\/span><\/p>\n

\u201cGiven the rapid pace of research, I expect AI to be able to create new personalized media, such as music according to your taste. Imagine a future music service that doesn\u2019t just play existing songs you might like, but continually generates new songs just for you.\u201d \u2013 Jan Kautz, senior director of Visual Computing and Machine Learning Research, NVIDIA<\/span><\/p>\n

Technology Will Continue to Adapt to AI<\/b><\/span><\/p>\n

\u201cAI is going to affect 25 percent of technology spend going forward. The key topic is how organizations and the human workforce will cope with the changes that AI technologies will bring.\u201d \u2013 Nicola Morini Bianzino, managing director of Artificial Intelligence and growth & strategy lead of Technology, Accenture<\/span><\/p>\n

Biometrics Will Replace Credit Cards and Driver\u2019s Licenses<\/b><\/span><\/p>\n

\u201cThanks to AI, the face will be the new credit card, the new driver\u2019s license and the new barcode. Facial recognition is already completely transforming security with biometric capabilities being adopted, and seeing how tech and retail are merging, like Amazon is with Whole Foods, I can see a near future where people will no longer need to stand in line at the store.\u201d \u2013 Georges Nahon, CEO, Orange Silicon Valley; president, Orange Institute, a global research co-laboratory<\/span><\/p>\n

New Deep Learning Techniques Will Provide Transparency into How Data Is Processed<\/b><\/span><\/p>\n

\u201cDeep learning will significantly increase the quantitative content of radiology reports. There will be much fewer concerns about deep learning being a \u2018black box,\u2019 as new techniques will help us understand what DL is \u2018seeing.\u2019\u201d \u2013 Bradley J. Erickson, M.D., Ph.D., consultant for Department of Radiology; consultant for Division of Biomedical Statistics and Informatics, Department of Health Sciences Research; associate chair of Research, Department of Radiology, Mayo Clinic<\/span><\/p>\n

AI and Deep Neural Networks Will Be Accessible on Smartphones<\/b><\/span><\/p>\n

\u201cVast applications on smartphones will run deep neural networks to enable AI. Friendly robots will start to emerge as more affordable and rise as the new platform at home. They will start to bridge vision, language and speech in such a way that the users will not be conscious about the difference between these communication modalities.\u201d \u2013 Robinson Piramuthu, chief scientist for computer vision, eBay<\/span><\/p>\n

AI Will More Fully Integrate into Daily Life<\/b><\/span><\/p>\n

\u201cRobots are going to get better at complex tasks that humans still take for granted, like walking around a room <\/b>and over objects. They\u2019ll get better at mastering boring, normal things. I\u2019m looking forward to seeing progress in NLP tasks as well, since right now we\u2019ve got a ways to go. We\u2019re going to see more and more products that contain some form of AI enter our lives. Waymo\u2019s level 4 autonomous vehicles are deployed on the road now. So all this stuff that\u2019s been tested in the lab will become more common and available. It will touch more lives.\u201d \u2013 Chris Nicholson, CEO and co-founder, Skymind.io<\/span><\/p>\n

AI Development Will Be More Diverse<\/b><\/span><\/p>\n

\u201cWe will start seeing more and more people from all kinds of backgrounds participating in building, developing and productizing AI. Tooling and infrastructure will continue to improve and make it easier for more people to translate their data and algorithms into real-world usage. Products and apps will allow more interactive querying of the inner workings of the underlying models, with the result being increased trust and confidence in these systems, particularly in mission-critical applications. In medicine, we will see more aggregation of disparate sources of information spanning across many disciplines, rather than focusing on single-application cases, though the scope of these targeted applications will continue to expand at a feverish pace.\u201d \u2013 George Shih, founder, MD.ai; associate professor and vice chair, Informatics, Department of Radiology, Weill Cornell Medicine<\/span><\/p>\n

AI Will Open a New Field of Research in Contemporary Astrophysics<\/b><\/span><\/p>\n

\u201cAI will enable the detection of an unexpected astrophysical event that emits gravitational waves, opening a new field of research in contemporary astrophysics.\u201d \u2013 Eliu Huerta, astrophysicist and head of the gravity group, National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign<\/span><\/p>\n

AI Will Translate from the Research Lab to the Patient Bedside<\/b><\/span><\/p>\n

\u201cAI in imaging is reaching the peak of the \u2018hype curve,\u2019 and we will begin to see AI-enabled tools translate from the research lab to the radiologist workstation and ultimately the patient bedside. The not so glamorous use cases (for example, workflow tools, quality\/safety, patient triage, etc.) for AI evaluation and implementation will start grabbing the attention of developers, insurance companies, healthcare organizations and institutions. One of the biggest challenges the medical and imaging AI industry will face is the ability of regulators to keep up with the innovation that is occurring. The FDA will need to find efficient and streamlined methodologies to vet and approve algorithms that will be used to screen, detect and diagnose disease.\u201d \u2013 Safwan Halabi, medical director of Radiology Informatics, Stanford Children\u2019s Health, Lucile Packard Children\u2019s Hospital<\/span><\/p>\n

AI Personal Assistants Will Continue to Get Smarter<\/b><\/span><\/p>\n

\u201cPersonal assistant AIs will keep getting smarter. As our personal assistants learn more about our daily routines, I can imagine the day I need not to worry about preparing dinner. My AI knows what I like, what I have in my pantry, which days of the week I like to cook at home, and makes sure that when I get back from work all my groceries are waiting at my doorstep, ready for me to prepare that delicious meal I had been craving.\u201d \u00a0\u2013 Alejandro Troccoli, senior research scientist, NVIDIA<\/span><\/p>\n

Interested in hearing more from AI innovators? Learn more about where AI is going in our original docuseries, \u201cI am AI.\u201d The first episode is now available<\/b>\u00a0here<\/b><\/span><\/a>.<\/b><\/span><\/p>\n

Article inspired by\u00a0<\/span>Rosie brown on Linkedin 03\/12\/17<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

13 predictions by researchers and experts from around the world. Publications like The Wall Street Journal, Forbes\u00a0and Fortune\u00a0have all called 2017 \u201cThe Year of AI.\u201d And with good reason. AI outperformed professional gamers\u00a0and poker players in new realms. Access to deep learning education expanded\u00a0through various online programs. The speech recognition accuracy record was broken multiple […]<\/p>\n","protected":false},"author":1,"featured_media":4182,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[41],"tags":[],"class_list":["post-3794","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"\nWhere Is AI Headed in 2018? - Sylvie Br\u00e9mond Mookherjee<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.sylviebremond.com\/en\/2017\/12\/08\/where-is-ai-headed-in-2018\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Where Is AI Headed in 2018? - Sylvie Br\u00e9mond Mookherjee\" \/>\n<meta property=\"og:description\" content=\"13 predictions by researchers and experts from around the world. 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