In 2022, new very exciting, and innovative technologies and services are built every day. From blockchain, and machine learning, to data computing, here are the new tech trends in 2022.
Blockchain and decentralization
The development of blockchain technologies and decentralized ledger technology (which encompass blockchain technology) have made lots of progress in the past year and keep providing more and more services built on decentralized infrastructures. The bitcoin blockchain itself has been modified to allow new services to be made on it, previously it could only support transactions, but it will be able to handle more complex paradigms such as NFTs. The Ethereum Foundation has announced new deadlines for the ETH 2.0 transition, which will move Ethereum from the proof of work consensus (PoW) to the proof of state consensus (PoS). Moreover, new layer 1 solutions are making lots of progress to solve the famous blockchain trilemma (decentralization, security, performances), and exciting technologies are coming like RadixDLT or Elrond.
Elon Musk acquired Twitter, one of the most used social networks worldwide. On April 20, Elon Musk offered $46.5 billion to buy Twitter, and on April 25, it was reported that Twitter was prepared to accept Musk's offer, with the board publicly accepting the offer later that day. Elon Musk claimed his first intention is to make the Twitter algorithm open-source, allow tweet deletion, delete spambots, and more to increase transparency and freedom of speech.
Also, Tesla keeps making its cars more and more clever, continues to collect lots and lots of data worldwide, and will undoubtedly be the first company to release the first complete self-driving car in the automobile market.
Machine learning and artificial intelligence
AI and machine learning push the boundaries of what technology can accomplish every year. Thanks to the new processors and graphic cards, tons and tons of data can now be easily handled by those kinds of algorithms, and perform very time-consuming and hard tasks in no time. We will see great improvement in machine vision and self-driving vehicles. What an exciting time. Last but not least, this kind of technology can be very hard to learn and understand when you do not have strong skills in sciences, that's why several services are coming to allow you to use machine learning and AI using a simple drag&drop graphical interface in order to make you use them the way it better fits your needs.
The largest neural network language model in the world, created by the American company OpenAI's GPT-3, can itself create long connected texts based on a small clue phrase. This technology is now being adopted by other companies, including Microsoft. The growing ability of artificial intelligence to interpret data, generalize and create possible scenarios on its own is impressive. This ability could allow, for example, to accurately guess user requests or create any kind of chatbot. In the dystopian version of developments, the future of artificial intelligence takes on an ambiguous character - as shown, for example, in the TV series Westworld, where a giant neural network, Rehoboam, takes over the world and decides the fate of people. Here we return to the theme of responsibility for how to dispose of all the possibilities of technology.
Client data platforms
Dealing with user requests on the Internet includes, of course, collecting data about users. And here, too, new opportunities are opening up thanks to artificial intelligence: Customer Data Platforms (CDPs) can use artificial intelligence to organize disparate information and thus solve the problem of so-called "bad data". Such constantly updated "data banks'' collect all kinds of information about users: our preferences and interests, habits, movements, contact data, etc. Adobe, SAP, Oracle, Treasure Data, Microsoft, and other major IT companies are working hard to develop such platforms in order, among other things, to share them with other companies. These platforms allow brands to better engage with their customers and attract new ones to sell their products and services.
Yes, our data is being traded, and that trend will increase. CDP technologies are built with protocols and laws in place to ensure user privacy. However, database leaks such as the ones that happened to Facebook, for example, can never be ruled out.
Metaverse and extended reality
The Metaverse is still in its early phase, but it keeps making progress, and more and more people and companies are joining it, and a manifestation already has been organized against some brands in the Metaverse by real people. Moreover, it will surely create brand new possibilities such as complete immersive content, enhanced 3D creation software, virtual worlds for more interactive platforms, as well as new dilemmas such as Security about users' personal information.
Because everything will become more and more decentralized, faster, and more entertaining, lots of new things are coming in the Metaverse, and the dice are about to be thrown, but the outcome is still really uncertain.
- Efootball 2022 download > Download
- Football manager 2022 free download > Download
- Report a login issue 2022 [solved] > Forum - Facebook Messenger
- Photoshop 2022 download > Download
- Security checks preventing login 2022 > Forum - Facebook
- Cryptocurrency: definition, market, meaning
- What is a NFT: meaning, crypto, marketplace
- Digital convergence: meaning, technologies, examples
- Advantages and disadvantages of cryptocurrency
- How to mine Bitcoin: on PC, at home, on laptop, for free
- Brief history of cryptocurrency: timeline
- What does LOL mean: in chat, in texting