2021 will definitely mark the beginning of a new era, with the advancement of core technology advances that are all in pursuit for speeding up as well as making huge impressions across varied arenas within the economy as well as the society that’s at large and are inclusive of: –
- Application of a third-generation Semiconductor substances.
- AI-powered R&D related to varied Medicines as well as the Vaccines.
- Automatic mechanized controlled optimal utilization of the core Data Management System as well as Data intelligence power-driven Agricultural innovations.
The globalized research wing and the initiative powered via the Alibaba group, DAMO Academy, envisions and offers its overall estimate regards the topmost ten foremost trends that will overall power up the tech business within the current year ahead.
Following are the ten tech trends that are forecasted to power this year’s 2021’s tech arena: –
- The submission of third-generation semiconductor substances, depicted via the GaN as well as SiC, that will be developing, fast-tracking to Newer Industries.
- The overall Quantum Error Correction as well as practical utility regards the quantum computing will be the utmost priority during the “Post-Quantum-Authority Era”
- Innovations in carbon-based resources will inspire progress of flexible electronics.
- AI fast-tracks the R&D of medicines and vaccines
- Data handing out will become self-governing and self-evolving.
- Brain–computer edge technology permits us to go outside the limits of the human body.
- Cloud-instinctive technologies will restructure IT systems.
- Agriculture will be power-driven by data intelligence
- Industrial intellect leaps from single-point execution to industry-wide operations.
- Intelligent procedure centres will be a priority for cities in the future.
The submission of third-generation semiconductor substances, depicted via the GaN, gallium nitride as well as SiC silicon carbide, that will be developing, fast-tracking to Newer Industries: –
Third-generation semiconductor materials, characterized by gallium nitride (GaN) and silicon carbide (SiC), claim high temperature resistance, high breakdown voltage, high frequency, high power, and high radiation confrontation.
However, for a long time, the submission of these materials has been restricted only to a narrow scope of fields due to their composite processing methods and huge costs involved. In recent years, innovations in material progress and device fabrication have aided diminished the budgets of third-generation semiconductor materials, making a broader range of application possible. For an illustration, SiC-based policies are used for automobile inverters and GaN-based swift chargers are emerging in the market.
In the next five years, the globe will be an eyewitness to third-generation semiconductor resources sprang up in areas such as 5G base stations, newer energy vehicles, ultra-high-voltage power grids, and data centres.
In the Middle East, nations like UAE and KSA have already on track installing 5G networks – in line with UAE’s Vision 2021, the UAE was the initial nation in the Arab Region and fourth nation globally to launch and utilize the 5G networks while KSA has been connected more than 5,797 5G towers across 30 metropolises.
The overall Quantum Error Correction as well as practical utility regards the quantum computing will be the utmost priority during the “Post-Quantum-Authority Era”: –
The year 2020 is the initial year to pass post the quantum supremacy was accomplished. In 2020, investors global flocked to the quantum computing field, associated technologies and ecosystems flourished, and numerous quantum computing platforms representation to prominence.
In 2021, this trend will harvest further attention from all corners of society. Quantum computing must distribute enough value to make it worthwhile. The mission in the “post-quantum-supremacy” era must be associated across the industry: to block critical scientific and engineering problems via collaborative innovation and to cover the way for quantum error alteration and practical utility, two milestones in quantum computing.
Innovations in carbon-based resources will inspire progress of flexible electronics: –
Supple electronics distribute stable presentation even post the mechanical twists such as bending, folding, and stretching. They are favoured in wearable devices, electronic skins, and flexible screens. In the past, supple materials were simply not supple enough or could not contend with rigid silicon-based materials in terms of electrical features, which restricted their marketable utilization.
In recent years, revolutionary progresses in carbon-based resources have permitted supple electronics to go far elsewhere their preceding capabilities. For an illustration: – carbon nanotubes are now cast-off to produce large-scale integrated circuits that distribute better performance than silicon-based circuits of the same size. Graphene, a gifted carbon-based material for supple electronics, has also been put into large-scale production.
AI fast-tracks the R&D of medicines and vaccines: –
Artificial intelligence (AI) technology has been broadly adopted to understand medical images and accomplish medical records while its claim in vaccine progress and the clinical research of drugs is still in the preliminary stage.
As new AI algorithms are incipient and computing power is attaining the newer heights, this technology will make it informal to comprehensively discover R&D of medicines and vaccines that were beforehand hugely time-consuming and expensive. Compound screening, disease model generation, target identification, lead compound discovery, and lead drug optimization are approximately few of the areas in which the technology surpasses. The incorporation will diminish monotonous work and progress R&D competence. The recipients will be the extensive public, who can relish better medical care and pharmaceuticals in the close future.
Recently, Saudi Arabia declared its National Strategy for Data and AI – the new strategy will emphasis on connecting the skills gap, thought-provoking the market via research and innovation, and operating applications of AI for government and private-sector agencies.
Data handing out will become self-governing and self-evolving: –
The swift expansion of cloud computing and their exponential progress in the amount of data have postured intimidating roadblocks to computing task dealing out, storage cost control, and cluster management during conservational data processing.
Manual management and tuning are powerless to process massive amounts of data in diversified, complicated scenarios. Therefore, AI-based automatic optimization of data management system will certainly be the best choice for future data processing.
AI and machine learning will be approved in a variety of fields, such as intelligent cold/hot data separation, irregularity detection, intelligent modelling, resource scheduling, restriction tuning, stress testing data generation, and index recommendation.
This way, budgets for computing, processing, storage, and O&M will be concentrated. Autonomous, self-evolving data management systems will be made available.
Brain–computer edge technology permits us to go outside the limits of the human body: –
Brain-computer interface technology is crucial for new-generation human-machine connections and combined intelligence between humans and machines. This technology is the support and powerful force of nervous engineering.
It scrutinizes how the human brain works from a higher dimension. A brain-computer edge forms a straight communication pathway between the brain and an external device. It acquires, scrutinizes, and translates brains signals to regulator machines.
In the future, brain-computer interface technology will benefit control robotic arms more exactly than ever before and benefit patients who are fully aware but cannot express or move to overcome their physical restrictions.
Cloud-instinctive technologies will restructure IT systems: –
Long product development sequences and low R&D efficiency in conventional software progress have long been a source of pain. Cloud-native designs featuring distribution, scalability, and suppleness look to be the cure.
They permit enterprises to employ and manage their assorted hardware devices and cloud computing possessions more effectively. Cloud-native methodologies, tool sets, best practices, products, and procedures permit developers to focus only on creating new applications. In the future, chips, development platforms, applications, and even CPUs will be cloud-native.
The profits that cloud-native technologies will bring are too abundant to mention. Just to name a few, the technologies benefit abstracts away numerous layers of substructure components such as networks, servers, and operating systems, diminish computing budgets, progress technology efficiency, lower blocks to evolving applications on the cloud, and develop the scope of cloud applications.
Agriculture will be power-driven by data intelligence: –
Conventional agriculture can suffer from incompetence caused by deprived land use and a discontinuation between the production and retail sides. Today, new-generation digital technologies, inclusive of the Internet of Things (IoT), AI, and cloud computing, are being applied to the agriculture industry through the production process to retail.
New-generation sensors benefit obtain real-time countryside data. Big data analytics and AI accelerate the processing of huge amounts of agricultural data. Agricultural experts can monitor crops, instrument precision upbringing, and allocate environmental resources on demand.
In addition, technologies like the 5G, IoT, and blockchain are operated to control and touch the transference of agricultural products, ensuring their security and reliable delivery. With these new-generation digital technologies, agriculture is no longer highly dependent on the natural conditions and will be determined by intelligent data analytics.
Industrial intellect leaps from single-point execution to industry-wide operations: –
Industrial intelligence has been primarily utilized to meet partial necessities because its execution is costly and complicated, data at the supply side is remote, and the ecosystem is immature. Post the outbreak of COVID-19 in early 2020, the remarkable flexibility of the digital economy drew excessive attention from enterprises, digital technologies advanced and spread swiftly, and more investments were injected into the building of new infrastructure.
These factors assisted shape a picture in which we can see industrial intelligence spring from single-point implementation to industry-wide implementation. This is true particularly in manufacturing trades that have mature IT systems. The industries comprise automobile, consumer electronics, high quality clothing, steel, cement, and chemical industries.
Industrial intelligence will mainspring up in every corner and support closed-loop decision making in these industries. It will make an impression on a huge scale, spread over to the supply chain, production, asset management, logistics, and sales.
Intelligent procedure centres will be a priority for cities in the future: –
Smart city enterprises were initial launched a decade ago and have glowed a noteworthy improvement in city governance via the digital technologies. Both UAE and KSA are some of the evolving economies that have great determinations to transform their cities into smart ones. Smart Dubai is the government office thrilling with simplifying the city’s smart revolution to empower, deliver and promote an effectual and impactful city experience for residents and visitors through technology innovation. In line with the Saudi Vision 2030 objectives, Saudi authorities have executed smart city project across multiple cities across the Kingdom.
When surviving with the COVID-19 outbreak, a number of smart cities confronted trials. This is why intelligent operations centres are broadly accepted and huge deployed to exploit the usage of data resources and promote global, fine-grained, and real-time governance and public services.
In addition, as the Artificial Intelligence of Things (AIoT) becomes developed and widely applied and spatial computing technologies are improved, operations centers will be more intelligent. By keeping “digital twins” of cities, intellectual operations centres consider each city as a unified system and distribute city-wide services capabilities. Intelligent operations centres will become the digital infrastructure of cities in the future.
