The power of mankind is limited, and the future machine will replace anything that human beings can do now. By that time, mankind will go where and how. It has been suggested that in order to be replaced by a device, we must be prepared. Stephen Hawking once said, "Comprehensive artificial intelligence may mean the end of humanity." He believes that machines can start on their own and automatically redesign themselves, at a faster rate. Due to the long history of biological evolution, human beings cannot compete with them and will eventually be replaced. It doesn't matter whether Hawking's prediction will come true. What matters is that he is reminding us to control artificial intelligence. At a time when algorithms and data are developing at a high speed, all aspects of social life are quietly linked to artificial intelligence. It is true that artificial intelligence has brought great convenience to our lives, but it relies entirely on artificial intelligence. How will humans behave themselves? In the face of the possible negative consequences of artificial intelligence, what should we do to circumvent it? Recently, Wang Xinrui, a partner of Anri Law Firm and an Internet legal expert, proposed the idea of ​​AI supervision from the two levels of theory and practice, and emphasized the issue of data protection. Many people think that the legal and regulatory issues of AI are far from us, but we have already encountered many legal issues related to artificial intelligence in practice. There are more general but abstract issues, such as the two sides in the event of a dispute. The principle of distribution of burden of proof and liability; there are also more specific and personalized issues, such as some intellectual property issues in the dataset used to train algorithms. These problems may be solved in a specific context, or they may be unsolvable, but if you look at these problems together, you will at least observe that the impact of artificial intelligence technology on many industries is increasing. New interests and risks also require new rules. I divided the AI ​​legal issues encountered in practice into two broad categories: algorithms and data. According to the general view of the artificial intelligence industry, big data is the basis for the rapid development of artificial intelligence. Among them, the data is a very big problem in law, not unique in the field of artificial intelligence. Among them, many countries have relatively mature legislative and regulatory mechanisms for personal information and privacy protection. China has further developed after the introduction of the Cyber ​​Security Law. The protection of personal information has been strengthened; and the issue of data ownership has not reached consensus on a global scale, and there is a lot of controversy; in addition, there are some complicated rules for the confidentiality and disclosure of data and cross-border transmission. The regulatory issues of the algorithm are at the forefront of the law. For example, the European Union has enacted the General Data Protection Regulations (GDPR), which stipulates that citizens of EU countries will have the right to ask “to examine how a particular service is made. Algorithmic decision-making, which has a very large impact on the algorithm, and how it falls, may lead to conflicts between regulators and artificial intelligence companies. I think that many of the problems caused by technical bugs in the early days of artificial intelligence development are not so important (although they are easily exaggerated by the news media), because in the long run, these problems will naturally be solved with the development of technology, regulation and law. The need for intervention is not great. What is important is the large framework, which is the regulation and legislation of data and algorithms in artificial intelligence. If these do not reach a consensus, the industry will be blocked at a certain stage, which will affect the public's trust and acceptance of artificial intelligence. Where is the boundary of artificial intelligence? I believe that in the context of a major crisis or affecting human interests, we must achieve constraints on algorithms and data. There are three aspects to the supervision of artificial intelligence, from the perspective of practice or theoretical structure: First, the supervision of the after-effects. Although deep learning can only be a small piece of machine learning, even 1% is not, but we must admit the promotion of deep learning. Algorithms and data are sometimes like a black box. We don't know exactly what's going on inside, but we can still supervise the results or pursue the developer's legal responsibility through strict liability. Second, conduct on-the-spot regulation of data collection. For example, the United States has established a negative list prohibiting data collection. The People's Bank of China also has provisions on what data can be collected by different groups of people and institutions in the relevant laws and regulations on credit reporting. It is also necessary to study which data is not suitable for use in artificial intelligence companies or for artificial intelligence. Third, before the acquisition behavior occurs, avoid some unsuitable data from the root to be collected. For example, the collection of criminal record data. In many countries, including China, criminal records are both personal information and management information. Data beyond a certain period of time cannot be disclosed casually, let alone minor information. The biggest difference between face recognition technology and fingerprint recognition, which is developing rapidly, is that face recognition can be realized without contact, so how to constrain the face recognition data collection is a problem worth considering. In the development process, artificial intelligence needs to consider different effects in different scenarios, and there are differences. Sometimes it is necessary to set a blacklist or a whitelist in advance. Taking smart speakers as an example, there are cases in which foreign countries directly play pornographic content to children because the algorithm recognizes the instructions incorrectly, so there is a limit to what is directly provided to the minors, so that it does not cause parents and society. Panic, otherwise it will lead to mass legal disputes. In some of the most important scenarios, decision making cannot rely solely on artificial intelligence. The earliest release of artificial intelligence related norms in China is the Health Planning Commission, because even though artificial intelligence is very helpful for medical care (this has been supported by many examples), the decision-making power is still not fully handed over to the machine because responsibility is The doctor will bear it. Medical ethics issues are more complex and cannot be solved with simple standardized procedures, and even less for the machine to judge. The Health Planning Commission issued four technical specifications this year, which is a reflection of the boundaries of artificial intelligence. A fairer AI is also an accountable AI, using different methods in different scenarios and phases to constrain the application of new technologies. So where is the need for legal intervention? This may be a problem that needs to be considered and solved. A comprehensive selection of USB connectors are available with various combinations of form factors, interface and version types, vertical and horizontal configurations, as well as a unique new USB 2.0 Type-C charging option. Chances are Antenk have the right USB connector for you. USB A-Type Connector, USB B-Type Connector, USB Type-C Connector, Micro-USB A Connector, Micro USB B Connector, USB Mini-b (5-pin) Connector, USB Mini-b (4-pin) Connector, USB 3.0 A-Type Connector, USB 3.0 B-Type Connector, USB 3.0 Micro B Connector ShenZhen Antenk Electronics Co,Ltd , https://www.antenkconn.com
USB (Universal Serial Bus) was originally developed and introduced in 1996 as a way of setting up communication between a computer and peripheral devices by replacing many varieties of serial and parallel ports.
USB connectors have become the standard connection method for devices such as mice, keyboards, game pads & joysticks, scanners, digital cameras, printers and external hard drives.
Although designed for personal computers USB has become commonplace on other devices such as mobile phones, PDA's, video game consoles, AC power adaptors, memory sticks and mobile internet access dongles.
USB Connector Type
USB Type A
Also known as USB standard A connector, the USB A connector is primarily be used on host controllers in computers and hubs. USB-A socket is designed to provide a "downstream" connection intended for host controllers and hubs, rarely implemented as an "upstream" connector on a peripheral device. This is because USB host will supply a 5V DC power on the VBUS pin. As such, it is important to remember while purchasing USB cables it is safest to make sure at least one of the plugs is a USB A.
Though not that common, USB A male to A male cables are used by some implementers to make connections between two USB A style female port. Be aware that typical A-A cables are not intended for connection between two host computers or computer to hub.
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USB 2.0 A to C Cables
USB Type B
Also known as USB standard B connector, the B style connector is designed for USB peripherals, such as printer, upstream port on hub, or other larger peripheral devices. The primary reason for the development of USB B connectors were to allow the connection of peripheral devices without running the risk of connecting two host computers to one another. USB B type connector is still used today, though it is slowly being phased out in favor of more refined usb connector types.
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USB Type C
USB-C or USB Type-C connector is the newest USB interface came to the market along with the new USB 3.1 standard. Different from previously mentioned USB A type and B type connector, USB C Type connector can be used on both host controller ports and devices which use upstream sockets. In the last few years a numbers of laptops and cellphones have appeared on the market with C style USB connectors.
USB Type C connector is compatible with USB 2.0, 3.0, 3.1 Gen 1 and Gen 2 signals. A full feature USB 3.1 Gen 2 C to C cable is able to transmit data at maximum 10 Gbps with enhanced power delivery of up to 20V, 5A (100W) and to support DisplayPort and HDMI alternate mode to transfer video and audio signal.
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USB Mini B
Similar to USB B type connector, USB mini B sockets are used on USB peripheral devices, but in a smaller form factor. The mini B plug by default has 5 pins, including an extra ID pin to support USB On-The-Go (OTG), which allows mobile devices and other peripherals to act as a USB host.
Initially, this plug was designed for earlier models of smartphones, but as smartphones have become more compact and with sleeker profiles, the Mini USB plug has been replaced by the micro USB. Now, the Mini-B is designed for some digital cameras while the rest of the mini plugs series have become more of a legacy connectors as they are no longer certified for new products.
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USB Micro B
The micro USB B connector essentially a scaled down form of the mini USB which allowed mobile devices to get slimmer while still maintaining the ability to connect to computers and other hubs.