Cloud Gaming
It is a way of running computer games where they are opened on a remote server rather than on the user’s device. It works according to the streaming model: the server transmits audio and video streams to the gamer. At the same time, the user controls the character from his device. “Cloud gamers” do not need to spend constantly on expensive computer upgrades to meet the latest requirements of the gaming industry. The most demanding games can be launched with minimal delay from any device – even a TV. The cloud gaming market is expected to grow tenfold to $450 million by 2024. So the future of gamers looks promising, and it’s good that there is an opportunity of purchasing term papers, and thus not to lose academic performance.
Computer Vision
This is the field of artificial intelligence related to image and video analysis. Systems consist of a photo or video camera and specialized software that identifies and classifies objects. They can analyze images (photos, pictures, videos, barcodes) as well as faces and emotions. According to adviser research, from 2018 to 2023, the domestic market for solutions in this area will increase fivefold. The technology can be used in security, industry, medicine, commerce, education, leisure, finance, transport, and many other areas.
Computer simulations
When the price of a mistake is high and cataclysms and crises raise the stakes, you need to sharpen your ability to act in the face of uncertainty, preferably in a safe environment. This can be done in simulators – virtual “labs” for decision-making. They feel like immersion in reality and reflect its contradictions. There can be no single correct decision because every decision has a price and negative consequences. Natural and technical specialists, managers, and military and medical personnel can train in them.
CRISPR and gene therapy to increase life expectancy
Today there are about 7.8 billion people on the planet, about 9% of whom are over 65 years old. However, there are already technologies capable if not stopping the aging process, then at least slowing it down. Gene therapy is a technology that introduces a genetic construct into certain cells in the body in which genes are missing or malfunctioning. The second method, CRISPR-Cas9, allows us to edit (for example, cut and paste) DNA sequences in cells. It is our main weapon in the fight against genetic diseases. Importantly, this technology is becoming cheaper, faster, and easier to use.
Cellular technology in creating the food of the future
Cellular agriculture is just one way to transfer food production to other hands. Mankind has already learned how to make meat, fish, and dairy products without using animals. Meat can be grown not only from animal cells, some scientists are creating meat-like proteins from plants. The characteristics of these products almost completely reproduce the traditional analogs in their composition. And gene editing is used to increase the output of products.
Subcutaneous microchips
As technology advances, devices are becoming more and more compact. The quintessence of the trend is subcutaneous microchips, which can (or soon will) be used by everyone. For example, with an implanted chip, the ambulance will be able, without wasting precious time, to obtain important information about a patient – a health insurance policy, medications taken, allergies, blood type, etc. In the future, it will even be possible to monitor vital body functions and receive accurate data in real-time. They already enable you to manage your bank account and smartphone, pay for purchases and transportation, regulate the opening of doors in the office or at home, and add customer cards for gyms or store loyalty cards. And the number of everyday tasks they solve will only increase.
Writing data in DNA
By 2010, humanity had created 1.5 zettabytes of data throughout history. Based on the dynamics, by 2025 we will have created 175 zettabytes of information that needs to be stored somewhere. Currently, data storage in DNA provides a density of up to 10¹⁸ bytes per cubic mm – at least six times the capacity of any other medium available today. Such storage systems are time-tested and come complete with an array of reparative (reducing) enzymes, proteins, and nucleic acids, as well as robust room temperature “containers” (cells) that are trained to survive in virtually any environment. Studies have shown that nature has been storing data in a similar format for hundreds of millions of years.
3D Bioprinting
This is a field of regenerative medicine in which tissues and organs are assembled from a conglomerate of cells like a construction set. They are built layer by layer according to a three-dimensional digital model on bioprinters, which are produced by about 80 companies around the world. With their help, they have already learned how to produce bones and cartilage. Spain has also been able to print skin, and the UK has been able to print the cornea of the eye. The next target is the human organ and its successful transplantation.
Nanotechnology
This is the “point” of materials science where manipulation becomes nano-format: it is a million times smaller than the size of an ant, 8,000 times smaller than an erythrocyte, and 2.5 times smaller than a strand of DNA. Nanobots are machines that can reproduce themselves and take apart any material, atom by atom, and use this “raw material” to create anything. Progress in the nano-world has been amazingly fast, and there are already many nanoproducts on the market.
Virtual assistants
According to forecasts by the British consulting company Ovum, by 2021 the number of digital assistants in use will exceed the total population of the world. From simple chatbots created to solve specific tasks, they will evolve into advisors able to help solve almost any problem. According to Microsoft executive vice president Harry Shum, they will become the ultimate form of AI. The company’s research division calls these future digital assistants “closest friends, true second selves. Experts at the World Economic Forum in Davos agreed with these predictions, suggesting that digital assistants will evolve toward greater personalization.