Every year, new technologies have a significant impact on business and society. To find out what technologies will change our future in the near future, analytical firms from the US and China regularly rank and predict the future.
Each year, Gartner, IDC and co publish their forecasts for the most important technology trends for the coming years. These projections are based on current CEO surveys combined with our own experience. In this article, we will talk about the most anticipated technological trends that await us in 2023.
Cloud, network and device convergence
The rapid development of new network technologies is accelerating the evolution of cloud computing towards a new computing system – the convergence of cloud, network and devices with a clear division of work. This serves as a catalyst for more demanding applications such as high-fidelity industrial simulation, as well as real-time quality assurance and mixed reality. Many use cases are expected to run on this new computer system over the next two years.
Artificial intelligence for science
Machine learning can process huge amounts of multi-dimensional and multi-modal data as well as solve complex scientific problems. This not only accelerates scientific research, but even contributes to the discovery of new scientific laws. In the next three years, artificial intelligence will be widely used in research and some fundamental sciences.
Photonic silicon chips
Electronic chips are reaching their physical limits in high performance computing (HPC). Silicon photonics technology, which is rapidly advancing thanks to cloud computing and artificial intelligence, offers a way out. Thus, high-speed data transmission in large data processing centers in the next three years may be partially based on photonic silicon chips.
Artificial intelligence for renewable energy
The biggest challenges in renewable energy development continue to be grid integration, energy consumption and storage performance. In addition to improving energy efficiency at many levels, artificial intelligence supports the automation of energy systems and improves resource utilization and stability. Thus, in the next three years, this will make a significant contribution to the integration of renewable energy sources into the energy system.
High precision medicine
With the help of artificial intelligence, doctors can more accurately and quickly diagnose, treat and predict diseases, and perhaps even prevent them.
Secure data processing
Specialized chips, crypto algorithms and whitebox implementations provide data protection even for large amounts of data and data integration from different sources. In the next three years, we can expect dramatic improvements in productivity and the interpretability of results in relation to the private sphere.
Augmented Reality (XR)
Mixed reality lays the foundation for a new industrial ecosystem with electronic components, operating systems and applications. It will revolutionize the way people interact with technology in private and professional environments. In the next three years, the new generation of XR glasses, which look and feel indistinguishable from traditional glasses, will enable the next generation of Internet access. This technology will allow many online services to look even more believable – for example, entertainment on the online casino real money nz website will become even more beautiful and exciting.
More malleable materials and advances in environmental perception and self-awareness distinguish soft robots from their “hard” cousins.
Satellite and terrestrial computing
The integrated system combines HEO (High Elliptical Orbit) and LEO (Low Earth Orbit) satellites with terrestrial mobile networks to achieve seamless, multi-dimensional coverage. This means that sparsely populated areas such as deserts, oceans and even outer space can benefit from digital services. In the next five years, satellites and terrestrial systems will form an integrated network system to provide comprehensive communications.
Co-evolution of artificial intelligence models on a large and small scale
Models for large-scale pre-training are central to the transition from weak to general AI. But with higher performance comes higher power consumption. This is why the future of artificial intelligence lies in the coexistence of large and small models in clouds, edges and devices.