The innovative development of technology and storage in 2023, including multi-cloud, will tend to be localized in 2023, cloud service providers will face more transparency requirements, heat-assisted magnetic recording (HAMR) technology will become more popular, etc.
PCIe is a standard interface for connecting PC components, such as graphics cards or storage devices, and is used in a wide range of devices, from embedded systems, handheld devices, industrial applications, and servers to supercomputers, etc. For consumers, upgrading the advantage of the later PCIe is that it can support faster memory.
End System (ES), a concept in OSI networking, refers to a host or node in an OSI network. Another key concept in an OSI network is the intermediate system (IS), which refers to the routers and switches that carry information through the network.
In the new normal of future changes, whether it is the ICT industry, the supply chain, or even the industrial ecosystem, it is necessary to think about how to improve resilience to respond to environmental changes from a mid-to-long-term perspective. It will be important to improve the resilience of the supply chain from procurement to production. The key to future competitiveness.
The demand for high-speed transmission is increasing day by day, which has promoted the rapid development of USB (Universal Serial Bus) technology in recent years. The introduction of a central processing unit (CPU) that supports USB4 symbolizes that USB technology has entered a new era.
There are continuous information security attacks against manufacturers around the world. For the manufacturing industry, it is not only necessary to consider the information security layout of the IT side, but also to strengthen the overall protection capability on the OT side to cope with the increasingly rampant cyber-attacks.
Data science is a complex process of extracting, integrating, and analyzing data, combining knowledge from computer science, mathematics, statistics, and related fields to help companies understand their customers, understand industry competition, and make relative decision-making.
Deep learning is a way of machine learning, by building a network, setting goals, and learning. Deep learning is not a panacea for artificial intelligence, it can only be designed for specific needs.
The real power of quantum computers is not the speed of computing, but the ability to process problems in parallel. By harnessing the uncertainty of quantum physics, it could revolutionize medicine, accelerate artificial intelligence, and upend cryptography.
Tiny AI integrates low-power, small-volume NPU, and MCU adapts to various mainstream 3D sensors in the market. And supports three mainstream 3D sensing technologies such as structured light, ToF, and binocular stereo vision, to meet the needs of voice, image, and so on to identify needs.
Lithography is the most important processing technology of integrated circuits and the most critical technology for manufacturing chips. In the entire chip manufacturing process, the implementation of almost every process is inseparable from the technology of lithography.
The vision of the Internet of Things is to make everyone's life better, safer, and more convenient. To achieve this goal, we must first increase the speed of data processing, generate real-time intelligence, and allow IoT data to make informed decisions in seconds.
When you chat with friends or family members using communication software, the information may be intercepted when transmitted on the Internet, thereby exposing the chat content. If the content contains confidential information, it may endanger privacy and security. End-to-end encryption (E2EE) is a method of protecting data that prevents potential eavesdroppers from monitoring data in transit.
The development of low-orbit satellites has attracted attention from all walks of life in recent years under the development of resources injected by international science and technology companies. Large-scale satellite galaxies, unlike past satellite communication systems, can provide broadband transmission and global connectivity services.
IoT is the current mainstream trend in technology. In this way, we will discuss the industrial changes and market opportunities of the digital revolution, and will further analyze the technology and application fields of IoT.
With the rise of the Internet of Things (IoT), the M2M (Machine to Machine) module technology has gradually received attention. M2M refers to the exchange and transmission of information between machines, and the concept of information sharing is achieved through the transmission and connection of network and machine equipment communication.
The Internet of Things (IoT) is driven by the M2M (Machine-to-Machine) paradigm, which provides the ability to connect anytime, anywhere among many smart devices. Wireless communication makes M2M communication much easier, it has more applications.
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?
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.
Governments are actively promoting the development of regional semiconductor supply chains. AI combines emerging technologies and applications such as the Internet of Things, automotive electronics, and compound semiconductors to drive the growth momentum of the semiconductor industry.
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