What Technology Will Be Like in the Next 10 Years?
According to the latest predictions, half of today’s work activities will be automated in the next few decades. Next-level process automation and virtualization will be the norm. There will be 50 billion devices connected to the Industrial Internet of Things (IIoT) by 2025. Robots will generate 79.4 zettabytes of data per year. And faster digital connections powered by 5G and IoT will unlock economic activity and boost global GDP by $1.2 trillion to $2 trillion by 2030.
Artificial intelligence will pass the Turing test
The Turing test is a benchmark that demonstrates how well a computer program can mimic human behaviour. However, this test only applies to text and does not take into account the increased capabilities of artificial intelligence. Computers are now capable of hearing, seeing, and even feeling. If they could be programmed to perform these tasks, then this would prove to be a significant advancement for society. Artificial intelligence is a major concern, and it is unlikely that it will pass the Turing test in the next decade.
Since the first Turing test was devised in 1950, little criticism has been directed toward it.
But it is still widely regarded as the benchmark for machine intelligence. A simplified version of this test, called the Minimal Turing test, involves asking a single question about one word. Typically, people are asked to choose one of the words, such as “beautiful”, “really cute,” and “exactly like a dog.”
The appeal of the Turing test comes from its simplicity.
Philosophers, psychologists, and modern neuroscience have been unable to come up with a precise definition of intelligence, which has led to the development of the Turing test. It is an attempt to quantify intelligence by providing a concrete measure of its ability to understand and behave. However, it is also an unreliable benchmark and is therefore unlikely to be used in the future.
The technology currently in development will have the capacity to perceive and act on things humans cannot understand, and it will be able to understand objects in ways humans are incapable of comprehending. This will eventually make it possible for humans to understand and interact with the machines we have created. But in the meantime, we need to be careful about our expectations. Artificial intelligence is a real risk. It may even deceive us.
3D printing will become a mainstream consumer technology
Despite recent advances, most consumers still see 3D printing as a futuristic technology of tomorrow. As a result, the market is still fragmented, with gaps in knowledge ranging from early adopters to massive businesses. In fact, most consumers have no idea about 3D printing’s capabilities or the cost of purchasing one. What’s more, they don’t have the training needed to use one.
A new report from Gartner found that 3D printing is only four years away from being widely used in saving lives.
The report also noted that many 3D printing technologies are five to 10 years away from mainstream consumer adoption, which will be outpaced by their business applications. But the short-term use cases of medical 3D printing will likely be more compelling than those for consumers. And in the next 10 years, 3D printing will be widespread enough to impact the everyday consumer.
With the advent of open-source hardware DIY clubs and maker spaces, more people can afford to try out the technology. While it might still be expensive for vested interests, 3D printers are becoming increasingly accessible to the general public. According to Fusion 3, the average cost of a 3D printer is $400. Entry-level 3D printers cost between $200 and $500. The cost of these devices is also more affordable than other forms of 3D printing.
The 3D printing technology has already been used for a variety of purposes.
It is also widely used in the medical industry, especially dentistry. Bioprinting is also becoming more popular as companies try to replicate organ tissues and test them for viability. Other applications include food industries. Food-printing can help reduce a company’s carbon footprint and understand the nutritional makeup of its food.
With advances in materials and the development of smart technologies, the technology will be a viable consumer product within 10 years. The latest innovations in 3D printing will be able to meet the demands of consumers with greater ease and lower costs. A multi-material 3D printer that has sensors and computer vision can automate many steps of the manufacturing process. A smart factory concept will also enable the automation of post-processing.
Robots could replace humans in the workforce
Although robots will never completely replace humans in the workforce, there is a risk that they will eliminate a large proportion of low-wage jobs. These jobs include those that require a low level of skill, such as food service, janitorial work, and garden maintenance. Robots are better suited to such jobs than people because they can endure many dangerous conditions. Moreover, they can be programmed to perform tasks that require human interaction, such as security or childcare.
A study by the Massachusetts Institute of Technology shows that, as a result of increased robot use, wages in all sectors have decreased by 0.4 percent. Adding one robot for every thousand workers reduced the national employment-to-population ratio by 0.2 percent, according to the study. The report says that, by 2030, robots will replace up to ten percent of workers. This is the highest percentage since the 1950s.
As we live in an increasingly technological world, it’s important to remember that the rapid evolution of artificial intelligence and the rise of automation are already happening. In fact, some experts believe that automation will eliminate up to 85 percent of all human jobs. At the same time, AI is becoming smarter and more accessible, which means that many workers will be replaced. This trend is a major source of concern, especially if the number of people employed in these fields rises in the future.
Materials science will transform multiple market sectors
The evolution of materials science will significantly impact several industries and drive technological innovations. Industry 4.0 is the driver of new materials innovation, and trends in the materials industry include smart materials, sustainability, and 3D printing. Emerging technologies are developing innovative composites, nano-formulations, and intelligent materials, and machine learning and artificial intelligence are increasing speed and accuracy of the materials discovery process. There are many opportunities for the next decade in materials science, as well as several areas that need to be addressed.
As the materials science field progresses,
the barriers to entry in advanced manufacturing will decrease, and new players will emerge to take advantage of the new opportunities that exist in this emerging field. As no technological advancement occurs in isolation, converging technologies will more often than not intersect, enabling even greater growth than the sum of their parts. As a result, new technologies will drive industry growth in previously unimaginable sectors.
For instance, we’ve seen the potential for a new form of water.
Today, 98% of the Earth’s water is saline. As such, materials scientists are working to develop technologies that can purify it in a manner that is both energy-efficient and locally sustainable. Examples of such new technologies include membrane separation techniques based on nanoporous graphene oxide. These new techniques are likely to be required long before 2050, and they can help prevent famines.
One of the biggest hurdles in the development of new materials is the fragmented marketplace.
Material producers are battling for market share and often do not have an idea of what designers need. As a result, many materials fail to find their niche in this highly competitive environment. Moreover, the research process in materials science is highly specialized and specialists tend to specialize in narrow fields. It’s almost impossible for a designer to be fully knowledgeable about a material without proper training.
Another example of the application of materials science is the advancement of smartphone and computer technology.
In addition to making computer chips smaller and faster, scientists can also engineer materials to take quantum effects into account. These developments will have profound impacts on various sectors, from the health industry to the automotive industry. And it’s likely to continue to do so for many years to come. There’s no end in sight for the development of smart materials.