LIST: Top 10 leading tech trends for 2022 –

MANILA, Philippines —  Artificial Intelligence (AI) in medicine and renewable energy, more reliable cloud computing, and silicon photonic chips are seen as the top technological trends with regard to 2022 plus beyond.  

The latest technology reports have underscored these major trends that bank on a lot more trusthworthy and secure public cloud networks and high-precision use of data.

The Alibaba Group’s global research initiative Damo Academy (DAMO) shared some of these styles that will make life easier in a more virtual plus digitized world. These trends are consistent with some of the results of the 2014 IEEE Institute of Electrical and Electronics Engineers (IEEE) Computer Society report titled “IEEE CS 2022. ” It surveyed 23 technologies that could affect the vast world associated with computer science and industries by 2022.  

DAMO analyzed general public papers and patent filings and conducted interviews with nearly 100 scientists over the past three years.  

Here are some of those developments DAMO forecasted for 2022 and the particular next two years:

1 . Cloud network-device convergence

The division of functions among these types of three important features associated with cloud computing are more clearly defined. The report underlined that the cloud-network-device convergence is the “catalyst” that will drive the emergence of new applications which will fulfill more demanding tasks, such as high-precision industrial simulation, real-time industrial quality inspection, and mixed reality. As a result, it foresees a surge of programs running on top of the new computing system.  

2 . AI for Science

The particular continuous progress of AI greatly impacts the shifting of the 2 basic paradigms, namely experimental science plus theoretical technology, in the scientific community.  

DAMO said that AI will not only accelerate the speed of medical research, but also help discover brand new scientific laws.  

“In the next three years, we expect that AI will be broadly applied within the research process of applied science and be used as a production tool in some basic sciences, ” it reported.  

3. Silicon Photonic Chips

Seven years ago, the IEEE report said that silicon photonics will become a fundamental technology that will address the current issues on bandwidth, latency and energy of high-end systems.  

DAMO also sees this technology as the prefered resource for chip development in the particular years to come.  

“Unlike electronic chips, silicon photonic chips use photons instead of electrons to transmit data. Photons do not directly interact with each other and can travel longer distances, and therefore silicon photonic chips can provide higher computing density and energy efficiency, ” DAMO reported. It added that the rise of cloud processing and AI drives the rapid development of silicon photonics technology.  

4. AI regarding renewable power

Renewable energy harnessed from wind and solar power are proving to be answers to the particular movement towards sustainable energy.  

There are challenges, however, within harnessing these energy sources such because difficulty in grid integration, low power utilization rate, and storage of excess energy.  

DAMO stated that due to the “unpredictable” natures of renewable energy power generation, integrating renewable energy sources into the power grid “presents difficulties that impact the safety and reliability of the particular grid. inch

To use AI in these settings can be “pivotal” in improving the effectiveness and automation of electric power systems, therefore maximizing resource usage and stability. By doing so, this particular initiative will be “conducive in order to achieving carbon neutrality. ” 

5. High-precision medication

AI and precision medicinie are expected to boost the incorporation of expertise and new auxiliary diagnostic technologies.  

“In the next 3 years, we expect to see people-centric precision medicine become a major trend which will span multiple fields of healthcare, including disease prevention, diagnosis, and treatment. AI will certainly become synonymous with the highly precise compass that will allows us to pinpoint diseases plus their treatments, ” DAMO reported.  

6. Privacy-preserving computation

Privacy   in the Internet has always been a sensitive issue. However , these are seen as concerns that can be addressed with the advancement of privacy-preserving computation with the use of integrated systems, such since dedicated potato chips, cryptographic algorithms, whitebox implementation, and information trusts.  

“In the particular next three years, we may witness groundbreaking improvements within the performance and interpretability of privacy-preserving computation, and witness the emergence associated with data trust entities that provide data sharing services based on the technology, ” the report noted.  

7. Extended Reality (XR)

Shopping, education, social networking, and health care will provide next-level features along with the progress XR.  

XR glasse, for example, promise to make immersive mixed reality Internet a reality. This technology plants the particular seed that will sprout into a new commercial ecosystem that encompasses digital components, devices, operating techniques, and apps.  

The next 3 years will see a new era of XR glasses that will have “an indistinguishable look and feel from ordinary glasses” which will pave the way to the following generation of Internet.

8. Perceptive soft robotics

In relation in order to the previous forecast, DAMO mentioned that this expects perceptive soft robotics to replace conventional robots within the manufacturing industry as well because satellites plus terrestrial systems in the next five years.  

“Unlike conventional robots, perceptive soft robots are automated programs with physically flexible bodies and enhanced perceptibility in the direction of pressure, vision, and sound. These programs take advantage of state-of-the-art technologies this kind of as flexible electronics, pressure adaptive materials, and AI, which allow them to perform highly specialized and complex tasks and deform to adapt to different physical environments, ” the DAMO statement highlighted.  

These next-generation robots are usually expected to change the course of manufacturing industry, from the particular mass-production associated with standardized products toward  specific, small-batch items.

In addition , the report said that these types of will change and pave the way for wider adoption of service robots in daily life within the next five many years.  

9. Satellite-terrestrial Integrated Computing

No place on earth remain digitally untapped.  

Terrestrial systems and computing systems provide digital services for densely populated areas, while no service is available in sparsely inhabited areas such as deserts, seas, plus space. STC connects high-Earth orbit (HEO) and low-Earth orbit (LEO) satellites and terrestrial mobile communications networks. STC furthermore creates a computing program that integrates satellites, satellite networks, terrestrial communications techniques, and impair computing technology. This way, digital services can be more accessible plus inclusive across the globe.

ten. Co-evolution associated with large- and small-scale AI models

As illustrated in above mentioned trends, DAMO noted the future of AI can shift to the co-evolution of large- plus small-scale models via clouds, edges, and devices.  

The large-scale pre-training versions, also known as the foundation models, are the grounding breakthrough technique from weak AI to general AI, which relatively boosts performance of various applications using conventional deep learning.  

The record said that, however , the particular merit within the higher performance and the drawback in the power consumption are “not well balanced”, thus limiting the exploration of large-scale models.  

The particular shifting plus expected co-evolution of large- and small-scale models is more useful in practice, DAMO noted.

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