Remote Health & Wearables, Augmented Reality, and Edge2Cloud Continuum Applications Lead Technology Forecast to 2023
LOS ALAMITOS, Calif., January 18, 2023 /PRNewswire/ — The IEEE Computer Society (IEEE CS) unveils its Technology Predictions Report for 2023, featuring top 19 Technological advancements are expected to change the market in 2023 and beyond. The annual report of the IEEE CS, the world’s leading organization of computer science professionals, provides a detailed analysis of the predicted success of the technology, its potential impact on humanity, the predicted maturity, and the predicted market adoption, and also includes business adoption opportunities for students, governments. , professional organizations, and industries.
“The past year has been a period of uncertainty in the global market and technological progress should change and respond quickly,” he said. Nita Patel, IEEE CS President. “The 2023 Technology Predictions from the Computer Society provide a glimpse into the future and help our members and the community as a whole prepare for what’s to come.”
For more than a decade, IEEE CS has been recognized as a pioneer and leader in providing annual technology forecasts. Previous predictions were shown Electronic magazine December 2019 storyand new predictions will be shown in the future July 2023 story.
“This year we have aligned our predictions with IEEE’s mission to advance technology for the benefit of society,” he said. Dejan Milojicic, former IEEE CS President (2014) and Distinguished Technologist at Hewlett Packard Labs. “We predicted personal technology and its impact on humanity. This approach informs companies and governments where to invest. Our market adoption, maturity and long-term evaluation, also informs academic and professional organizations such as the IEEE Computer Society, where to focus.”
The top 19 technology trends predicted to reach 2023 are:
-
Remote Health & Clothing (B+): Remote care with advanced wearables will enable patients to access medical care remotely and doctors to take action, consult with remote specialists, and access important health information.
-
Additional Facts (B): A seamless integration between the real world and the online world will be evident.
-
Edge2Cloud Continuum Software (B): This includes new programs for the development and deployment of next-generation computing components, systems, and platforms that support the evolution of the computing continuum with powerful capabilities at the edge and at a distance in a more efficient and reliable way.
-
Open Tools (B): From Open System (OCP) to ISAs (RISC-V) and interconnects (CXL, UCIe) the open source movement has grown into hardware.
-
AI-Assisted DevOps (B): A traditional DevOps approach will be developed to address the ever-increasing complexity of software development.
-
3D Printing in Personalized Healthcare (B-): 3D printing in healthcare will evolve into personalized products for people.
-
Generative AI (B-): In the next few years artificial intelligence will be used more and more, increasing the functionality and enabling new tasks. It should also raise ethical and social issues. Expect significant impact on business (short term), education (long term), and society (medium to long term).
-
IT for Sustainability (B-): Technology will shift from traditional IT to new IT applications for sustainability, clean energy, and a green economy.
-
Automatic Driving (B/C): Self-driving cars in regulated environments are gaining widespread acceptance, backed by strong business cases.
-
Digital Distributed Manufacturing (B/C): Digital Distributed Manufacturing will reduce energy and environmental footprints and increase the resilience of supply chains.
-
Trusted Computing (B/C): There will be increased public awareness and interest in reliable/validated calculations in all sectors of the industry. Governments have increased their focus on law enforcement to ensure that public response systems can be trusted.
-
Huge Graph Neural Networks (B/C): Programs that use large models, such as chatGPT, have shown a real impact on many problems. Graph Neural Networks can represent complex, “real-world” problems. We predict that large-scale GNN models will be widely used in machine learning.
-
Adaptive, Generative Pharmaceuticals (C+): Advances in nanotechnology and AI could shorten vaccine development time and increase efficacy.
-
Autonomous Robots & Artificial Intelligence I/F (C+): The spread of robotic planets will happen, including as extensions of the human body.
-
Artificial General Intelligence (AGI) (C+): Advances in AI will lead to AGI systems that can understand or learn any intelligent task a human can perform.
-
Global Digitalization of Monetary Transactions (C+): The digital revolution in financial transactions will open up new disruptive opportunities in global markets.
-
Space ITC (C): As more companies deploy technology into space, the barriers to entry are falling rapidly.
-
Designing a Permanent Location (C/D): Aerospace manufacturing and innovation in technologies and services will contribute to sustainability, resilience, and environmental value.
-
Diagnosis/Remediation (C/D): Improving the reliability of information in public health, politics, and science will advance the public knowledge needed to make informed decisions from the individual to the public.
Download the 2023 Forecast Report: https://www.computer.org/2023-top-technology-predictions.
Each technology was factored (AF), measuring the following: Predicted Technological Success in 2023; Potentially Affecting People; Forecasted Growth in 2023; and Predicted Market Adoption in 2023. The goal was to demonstrate human impact as a function of technological progress, re-qualifying the same through maturity, market adoption and sustainability during adoption.
The IEEE CS group of leading technical experts includes Ali Abedi, Mohamed AminRosa M Badia, Mary Baker, Greg ByrdMercy Chelangat, Tom Coughlin, Jayakrishnan DivakaranPaolo Faraboschi, Nicola Ferrier, Eitan FrachtenbergAda Gavrilovska, Alfred GoldmanFrancesca, Iacopi, Vincent Kaabunga, Hironori Kasahara, Witold Kinsner, Danny Lange, Phil Laplante, Katherine Mansfield, Avi Mendelson, Cecilia Metra, Dejan Milojicic, Puneet Mishra, Chris Miyachi, Khaled Mokhtar, Bob Parro, Nita PatelAlexandra Posoldova, Marina Ruggieri, Robert Saracco, Tommy Sebastian, Saurabh Sinha, Michelle Tubb, John Verboncoeurand Irene Pazos Viana. Technical support staff are available to answer questions.
Note: The information presented in this report does not represent the opinion of the hiring manager.
At the end of the year 2023, the technical support of IEEE CS for this report will review the predictions for 2023 and check how they correspond to reality. Look again December 2023 for an official guide to this year’s predictions.
About the IEEE Computer Society
Through conferences, publications, and programs, the IEEE Computer Society (IEEE CS) sets the standard for education and action that promotes technological progress worldwide. By bringing together engineers, scientists, researchers, and practitioners from all areas of computing and in every field of work, IEEE CS enables new opportunities and empowers not only its members but the larger industry. Visit computer.org for more information.
See the original to download the press release: https://www.prnewswire.com/news-releases/technology-predictions-for-2023-released-ieee-computer-society-experts-gauge-the-future-of-tech-301724081 html
SOURCE IEEE Computer Society
