Non-enforcing entities (NPEs) are a special group in the historical process of the intellectual property industry. Patent litigation involving NPEs has become a common global business activity, and it is a patent issue that the technology industry needs to pay special attention to.
It's that time of year again, check out the predictions for the most promising emerging technology trends to watch in 2022. Paying close attention to the following topics and they will be covered in details for what is happening around the globe.
Industrial PC, referred to as IPC mainly refers to a personal computer that is specially used in the industrial world and can be used as an industrial controller.
Technology today is evolving at a rapid pace, enabling faster change and progress, causing an acceleration of the rate of change. However, it is not only technology trends and emerging technologies that are evolving, a lot more has changed this year due to the outbreak of COVID-19 making IT professionals realize that their role will not stay the same in the contactless world tomorrow.
The industry defines different LED technologies according to the size of the LED chip. For example, when the size of the LED chip is less than 150 μm, it is called a mini LED; and when the size of the LED chip is less than 50 μm, it is called a micro LED. As the size of backlight LED chips becomes smaller and smaller, the structure of the display panel also changes accordingly.
Radio Frequency Identification (RFID) is a technology used to identify items in unique manner by way of radio waves, and is capable of capturing hundreds of objects at the same time. Although the term of RFID is not often heard, we use it in our daily lives more than we imagine, and its use continues to increase.
Big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can’t manage them. But these massive volumes of data can be used to address business problems you wouldn’t have been able to tackle before.
Let’s explore the different types of Edge Computing and their amazing applications in a real-world scenario. Edge computing is a type of data processing in which data is distributed throughout decentralized data centers, while some information is maintained locally, at the “edge.” There’s no need to ask a remote data center for approval. Data can be deployed offline by local devices using less bandwidth usage. Is this a way to move forward when we have the benefits of Cloud Computing? Will Edge Computing be able to make a mark in the industry?
Blockchain, sometimes referred to as Distributed Ledger Technology (DLT), makes the history of any digital asset unalterable and transparent through the use of decentralization and cryptographic hashing. Blockchain is an especially promising and revolutionary technology because it helps reduce risk, stamps out fraud and brings transparency in a scalable way for myriad uses.
Machine learning is considered to be the application of artificial intelligence. Machine learning is a scientific study of algorithms and statistical models that gives computer systems the ability to automatically learn and improve from experience and to perform a specific task without being explicitly programmed. Data science is a broad field that includes the processes of capturing of data, analyzing, and deriving insights from it. On the other hand, data mining is mainly about finding useful information in a dataset and utilizing that information to uncover hidden patterns. A few machine learning and data science start-ups are rounded up in this article worth keeping an eye on.
This may seem like a simple question, but that confuses many people. It is also, one of the most popular issues discussed on Quora. So, we are going to delve into this question and see if we can shed some the light on the main differences between IT and Telecommunications.
The low-code development environment allows users with less technical knowledge to build entire business applications on their own without the assistance of IT staff.
With increasingly complex IT architecture exacerbating maintenance and operation challenges, the demand for IT agility is driving the growth of the AIOps market.
Robotic behavior is often built as a computational graph, with data flowing from sensors to computational technology, all the way to actuators and back. To gain additional performance capabilities, robotic computing platforms must efficiently map these graph-like structures to CPUs, as well as to specialized hardware including FPGAs and GPUs.
OTA programming is to realize the remote control of the data of the mobile device or equipment through communication and use the wireless network to update the database to obtain the latest version.
The core value of the brain-computer interface: Communication without action. People can communicate with the outside world and even control surrounding objects through the will of the brain without the need to move any part of the body.
Characteristics of the 5G network include high-speed large-traffic communication, high-reliability, low-latency communication, and large-scale machine-type communication. In the architecture of the 5G network, network slicing will be a key technology.
FinTech generally refers to an innovative financial service industry formed by companies using technological means to make financial services more efficient.
Technology seeks transparent and easy-to-access features, so that technology is no longer limited to a few Human hands; daily life scenes are also expected to be shaped by augmented reality, wearable devices, etc., with a brand-new future look.
The science and technology industry is a rapidly changing market. The ability to continue research and development, innovation, and provide value will determine the future of the tech market. Let's understand the trend of the science and technology industry.