Why does the World Need to Care About the Future of Computing?
Today, computers are present all day long in everything we touch. We still have the image of a computer as a rectangular object on a desk or, more recently, in a pocket. But the computer, the thermostat, and the fridge are in our car. More and more computers are no longer objects, but they are filled with fabrics and other materials. That is why computing affects our lives all day long, so we need to worry about what the future holds for computing. What makes supercomputers so great? Can it jump over skyscrapers at once or protect the rights of innocent people? The truth is a little more mediocre.
Supercomputers can handle complex calculations very quickly. After all, that is the secret behind computing power. It all depends on how the machine can operate. A computer does everything by breaking it down into mathematics. The computer’s processor interprets your executed command as a series of math problems.
Faster processors have more computations per second than slower processors and better handle the most complicated calculations. There is an electronic clock in the CPU of the computer. The job of a watch is to make a sequence of electrical pulses at periodic intervals. This enables the computer to synchronize all its branches and determine how much it can pull data from memory and perform calculations.
Computing power connects our world’s natural (chip energy) and virtual (algorithm) dimensions. It is a metaphysical investment that can be used and circulated, provided that the asset owner does not change. It is a commercial, technical service, and consumer investment. It is a great innovation for humanity and an upgrade in the digital economy. 2020 is the year of the birth of computing power infrastructure.
As we enter a digital economic civilization, our world is beginning a new economic and technological cycle. This wave of technology is being driven by AI, 5G, quantum computing, big data, and blockchain. People are beginning to realize that computing power is the most critical and innovative form of productivity in the age of the digital economy.
Computing power is not only technological innovation but also economic innovation. This is a small advance at the primary level and has immeasurable implications. And people have eventually witnessed the value of the bottom layer through the evolution of crypto mining over the last decade.
However, there are two primary issues faced by the overall technical outlook. One is insufficient computing power, and the second is the advantage of centralized computing power. This creates a monopoly, causing operational problems and inadequate data security.
How can more computing power help?
Take this into account: For an AI system to recognize someone’s voice or identify an animal or human, it must first process millions of audio, video, or image samples. Next, you will learn to distinguish between two different voice pitches or distinguish faces based on various facial features. To reach that level of accuracy, you must supply a vast amount of data to your AI model. You can only do this if you have a powerful computer handling millions of data points per second.
The higher the computing power, the faster the feed of data to train the AI system and the shorter the span for AI to reach near perfection. In other words, it is human-level intelligence. The computing power required for AI has doubled approximately every three and a half months since 2012. As we need to build better AI, we must meet this requirement for more computing power. Technology companies have left no stones to meet this demand. It is as if computing power is now an asset that investors and organizations pour millions of dollars into.
They are constantly experimenting and altering their most delicate chips, creating more practical versions. The outcomes of this investment are regularly seen in the form of refined, more compact chips that can generate higher computing power while consuming less energy.
Due to technological innovations, computing power has become a new “production material” and “energy.” Computing power is the fuel for our technologically advanced society. We are driving the development of various technological perspectives, such as AI, visual computing, 5G, and cryptocurrencies.
In everyday computing, data is typically sent from the device to a central data center for processing and back to the device. Edge computing accelerates processes by introducing server and data center features such as computing power, storage capacity, and network bandwidth into computing devices. Additionally, processing data near the source makes threat detection much more manageable. This is useful in military settings, as fighters often need immediate and actionable insights to boost situational awareness and effectively track enemy threats.
This allows you to take decisive action in a minimum time. Cutting-edge features are robust for military and commercial purposes to comply with various technologies, performance, and environmental specifications to ensure reliable performance in the harshest environments.
As an edge node, high-performance computers with enhanced computing, data logging, and networking capabilities run multiple virtualization applications and RAN (Radio Access Network) infrastructure on the same hardware.
RAN is a network infrastructure consisting of radio base stations with large antennas that receive, process, transform, and transmit radio signals transferred to the core network. vRAN, or virtualization RAN, is an essential component of 5G technology for virtualizing hardware functions to increase automation, flexibility, and adaptability as network conditions change. This is particularly useful as machines are more interconnected by the IoT or Internet of Things, and the portion of data generated daily by these and other devices rises exponentially.
5G technology offers several challenges in combining with existing infrastructure and handling large quantities of data, further highlighting the necessity to reduce latency in mission-critical applications. Trustable hardware is required to provide computing power, storage capacity, and network bandwidth to manage the vast amount of data that 5G produces from more and more sensors and devices. This means bringing capabilities to 5G connectivity and the tactical edge that allows us to handle large amounts of data inputs and outputs in harsh environments for the industrial and military sectors.
Like AI, the decentralized digital economy sector relies on high computing power. Transactions of cryptocurrencies such as Bitcoin are verified through a decentralized process called “mining.” In mining, miners worldwide need to deploy powerful computers to find a crypto puzzle solution (or hash) that justifies each transaction requested on the blockchain.
However, the bad news is that the rewards for mining Bitcoin are halved almost every four years. This means miners mining Bitcoin will receive half the compensation per block after May 20, 2020 (the next half date) compared to the current case.
The two main factors that make up for half the rewards are the rising prices of Bitcoin and advanced chips with high computing power. Miners run multiple high-end graphics processing units instead of one to mine Bitcoin, a power-intensive process. The only way to keep mining profitable is to invest in better chips that generate more computing power with less power consumption. This allows miners to process more hashes per second (hash rates) to get the proper hashes and earn mining rewards.
So far, mining chip producers have fulfilled their promise of more efficient chips in the last six months, increasing the mining hash rate. According to the report, the efficiency of the latest chips combined with rising Bitcoin prices has helped keep the mining business profitable since the previous half.
High computing power has become an addiction that humans will never remove in the foreseeable future. As your attachment to faster computer applications and more humane AI grows, you may want a quicker and more complete version of your system. A viable way to achieve this is to generate more computing power.
The two biggest challenges are producing cleaner power at a lower cost and developing chips with a lower power consumption ratio to computing power. At the heart of today’s industrial production competition is the cost of electricity production. Since the energy price is low, we can provide stable service.
For example, there is abundant hydropower in southwestern China, and a joint data center is located there to take advantage of hydropower. Making low-cost, clean energy available everywhere can reduce the cost of producing computing power. When power-efficient computing chips use this energy, the total cost is further reduced, and the high computing power becomes very affordable.
6 Ways Computing Power will Transform our Lives
1. Change the way you work
The threat of technology disruption to the job market is not new, but with the development of new technology, automation can be much faster than before. Automation is reshaping the workplace and will bring fundamental changes to almost every industry in the coming years. It is not anticipated that robots will replace human workers, but it envisions human-robot cooperation in the workplace.
Repetitive and mundane tasks are automated, giving humans more time to focus on interesting creative tasks. Robots are a tool for improving performance and productivity and eliminating the daily headaches and tedious tasks many workers do.
2. Help us in solving global issues
According to Google, only our creativity and innovation limit the possibilities of using computer technology. Climate change is one of the areas technology can help by using computers to increase energy efficiency. A significant role is envisioned for technology in healthcare by directing resources to more accurate healthcare solutions and using robots in medical research.
3. Smarter Education
Computer science is widely employed in education, but new modes are needed to use computers to make education smarter. Recognizing that learning methods vary from person to person, we can use a computer to monitor students’ learning methods. This allows teachers to identify the most successful educational models, strengthen education and make education more effective.
4. More entrepreneurs
We must generate more entrepreneurs everywhere and call on universities and governments worldwide to encourage entrepreneurship and new ideas. Entrepreneurship and innovation will be a great business story for the next decade, and entrepreneurs not only grow our economy and help fix some of humanity’s most significant concerns.
5. More benefits for more people
Innovation will guarantee more people more profits and provide better access to products, services, and information. Computer technology will continue to improve living standards and create opportunities for everyone. At the same time, if tech reliance makes us happy, 97% of people sleep with their smartphones next to their beds and touch them an average of 1500 times a week.
6. A machine that teaches itself
The previous five years have been mobile, and the following generation is machine learning. That is the use of machine intelligence to make mobile smarter. Instead of programming a computer, you teach the computer to learn something which does what you want. As the role of devices in society is becoming increasingly important, it is vital to make them smarter. Smartphones are an increasingly important tool in all disciplines, even for nurses.