IEEE:2025年技术趋势预测报告(英文版)(56页).pdf

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1、Technology Predictions 2025Ali Abedi,Mohamed Amin,Cherif Amirat,Jyotika Athavale,Mary Baker,Greg Byrd,Kyle Chard,Tom Coughlin,Izzat El Hajj,Paolo Faraboschi,Rafael Ferreira da Silva,Nicola Ferrier,Eitan Frachtenberg,Jean-Luc Gaudiot,Ada Gavrilovska Habl,Alfredo Goldman,Mike Ignatowski,Lizy K.John,Vi

2、ncent Kaabunga,Mrinal Karvir,Hironori Kasahara,Witold Kinsner,Danny Lange,Phillip A Laplante,Keqiu Li,Avi Mendelson,Cecilia Metra,Dejan Milojicic(chair),Puneet Mishra,Christine Miyachi,Khaled Mokhtar,Chengappa Munjandira,Bob Parro,Sudeep Pasricha,Nita Patel,Alexandra Posoldova,Marina Ruggieri,Tomy S

3、ebastian,Farzin Shadpour,Sohaib Sheikh,Saurabh Sinha,Vesna Sossi,Luka Strezoski,Vladimir Terzija,George Thiruvathukal,Michelle Tubb,Gordana Velikic,John Verboncoeur,Irene Pazos Viana,Jeffrey Voas,Rod Waterhouse,Stefano Zanero,Gerd Zellweger,Ying Zhang.IEEE Computer Society technology experts have un

4、veiled 22 breakthrough technologies set to redefine industries and shape the future of our world for decades to come.Technology Predictions:From Hypothetical Exercise Hypothetical Exercise to Strategic AdvantageStrategic AdvantageThe 53-member 2025 Technology Predictions Team foresees:accelerated gr

5、owth in many AI facets,requiring reskillingof workforceUS-centric reduction in interest in sustainability,due to new economic and socio-political pressures(not globally,though)ever-increasing automation in many dimensions,setting stage for additional AI opportunitiesbiotechnologys rapid development

6、under the radar(e.g.“AI-assisted drug discovery”,“AI-based medical diagnostics”)The 22 technology predictions(see next slide)were:made in 6 categories:verticals(6);applied AI(4);user interfaces(2);non-functional characteristics(4);applied computing(3);and energy-related(3)evaluated for likelihood of

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