IEEE：2026年技术趋势预测报告（英文版）（77页）.pdf

1、TECHNOLOGYPREDICTIONS2026Surprises in 2026 Predictions The speed,depth,and breadth of AI adoption over the course of last year biased the prediction team to being more near-term focused Literally all predictions were AI-related,-influenced,or-driven;six were directly related(slide 7)Many more predic

2、tions have higher impact on humanity than likelihood of success,requiring more funding(slide 16)This forced the team to introduce riskreward categories from remaining honorable mentions(slide 11)Aggressive AI adoption enables or fosters:new megatrends(health,energy,space,and robotics,slide 19)new ve

3、rticals(future of coding/work),and new types of computing(in-memory,rack-scale,slide 7)It seems like AI-driven technologies are advancing at a much higher rate than any other previous revolutions(digital transformation,industrial revolution)Being a group of acknowledged technology experts,we have a

4、bias toward believing in the“success”of technology.Therefore,a dedicated perspective on risks and rewards is introduced.The optimism about relatively immature technologies(e.g.,Social AI,AI Personalities)is also reflected in the anticipated adoption in 202622026 TECHNOLOGY PREDICTIONSAli Abedi,Aleja

5、ndro Acero,Sheikh Iqbal Ahamed,Metin Akay,Karen Alexander,Mohamed Amin,Cherif Amirat,Jyotika Athavale,Mary Baker,Marc Beebe,Elisa Bertino,Jose Roberto Boisson de Marca,Greg Byrd,Tracy Camp,Lesleigh Campanale,Solimar Crdenas,Jose Ignacio Castillo,Sri Chandra,Carl K.Chang,Rong N.Chang,Kyle Chard,Demin

6、g Chen,Ernestina Cianca,Tom Coughlin,Ernesto Damiani,Sanja Damjanovic,Marko Delimar,Ksenija Draskovic,Christof Ebert,Mohamed Essaaidi,Paolo Faraboschi,Rafael Ferreira da Silva,Nicola Ferrier,Eitan Frachtenberg,Jean-Luc Gaudiot,Ada Gavrilovska Habl,Glenn Ge,Alfredo Goldman,Izzat El Hajj,Sumi Helal,Sa