The most powerful
children who have just learned chess often play chess very fast. What they care about is winning or losing. There are no changes in their eyes. They play mechanically by feeling. Developing this habit is certainly harmful to the improvement of chess power
therefore, it is very important to develop the habit of thinking when playing chess at the beginning stage. It's important to think about how the other side will play chess and how they should play next. The ability to analyze all kinds of changes in mind is the ability to calculate
in go, computational ability is a basic ability, so the cultivation of computational ability is the only way to improve chess power. The best way to cultivate the ability of calculation is to do the dead and alive questions and the hand problems. It can be said that the training of computational ability must run through the whole process of learning chess
for beginners, we should also pay attention to some methods to solve the problems of life and death and hand muscle. First of all, we should pay attention to the choice of difficulty, follow the principle of graal progress, according to their ability from simple to difficult. Secondly, when answering questions, do not know the answer in advance. Only on the premise of not knowing the answer, through the full analysis of various changes, can it play the role of exercise
besides, don't be afraid to make mistakes. The most important thing is the process of calculation. In the repeated exercise, summarize all kinds of experience, strengthen the feeling of all kinds of key points of chess. Calculation ability will be improved unconsciously in the process of exercise, so the accuracy rate will be improved naturally
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CristianoAmon, President of Qualcomm Corp, at the press conference of SnapdragonRide, shows a combination of SoC, accelerator and automatic driving software stack, showing SnapdragonRide (Graphic source CNET/James Martin)
SnapdragonRide, which provides an extensible solution for automobile manufacturers, which can provide support for self driving vehicles in three sub fields, namely
1, L1 / L2 active safety ADAS -- for vehicles with automatic emergency braking, traffic sign recognition and lane keeping assistance
2, L2 + ADAS -- for vehicles that can drive automatically on expressways, support self-service parking, and drive in urban traffic with frequent parking
3, L4 / L5 fully automatic driving -- for automatic driving, unmanned taxi and robot logistics in urban traffic environment
snapdragonride platform is based on a series of different snapdragon SOC and accelerators. It adopts scalable and molar high-performance heterogeneous multi-core CPU, energy-efficient AI and computer vision engine, and GPU
among them, adassoc series and accelerator series adopt heterogeneous computing. At the same time, using the new generation of artificial intelligence engine of Qualcomm, ADAS and SOC can efficiently manage a large amount of data of on-board system
thanks to the combination of these different SOC and accelerators, snapdragonride platform can be equipped according to the needs of different segments of autonomous driving market, and provide good heat dissipation efficiency, from 30tops level equipment for L1 / L2 level applications to 130W power consumption equipment for L4 / L5 level driving with more than 700tops
in addition, the new snapdragonride autopilot software stack is a molar and scalable solution integrated into the snapdragonride platform
according to the introction, the software framework of snapdragonride platform can host customer specific software stack components and snapdragonride autopilot software stack components at the same time
snapdragonride platform also supports passive or air-cooled cooling design, so it can further optimize vehicle design and improve reliability while recing cost
now, arm, blackberry QNX, Infineon, Xinsi technology, elektrobit, and Anson semiconctor have joined the auto driving circle of friends of Qualcomm and become the software / hardware suppliers of snapdragonride auto driving platform
the functional security solutions of arm, the automotive designware interface IP, arc processor IP and starmemory SystemTM of Xinsi technology, the OS Security version and hypervisor Security version of BlackBerry QNX, the aurixtm microcontroller of Infineon, and the ADAS series sensors of Anson semiconctor will be integrated into the automatic driving platform of Qualcomm
elektrobit also plans to cooperate with Qualcomm to jointly develop a new generation AUTOSAR architecture that can be proced on a large scale. Ebcorbos software and snapdragonride autopilot platform will be integrated on this architecture
it is understood that snapdragonride will be delivered to automobile manufacturers and first tier suppliers for preliminary development in the first half of 2020, and according to the estimation of qcomm technologies, the vehicles equipped with snapdragonride will be put into proction in 2023
Second, we have been deeply engaged in the automotive business for many years. Before the release of snapdragonride, we have been deeply engaged in the field of intelligent vehicles for many yearsfor more than a decade, Qualcomm technologies, a subsidiary of Qualcomm, has been providing advanced wireless communication solutions for GM's connected vehicle applications, including the security applications supported by the Android devices on GM
in the fields of on-board information processing, information audio-visual and in car Internet, the total value of orders of qcomm technologies has exceeded 7 billion US dollars (about 48.7 billion yuan)
according to the information released by Qualcomm at the ces2020 press conference, so far, more than one million vehicles have used the automotive solutions provided by Qualcomm
it is obvious that today, the layout of Qualcomm in the automotive field has taken another step forward
ring ces2020, in addition to snapdragonride, Qualcomm also launched a new car to cloud service, which is expected to be available in the second half of 2020
according to the introction, the car to cloud service built by Qualcomm technologies supports the soft upgrade capability of softsku chip specifications, which can not only help automobile customers meet the changing needs of consumers, but also enable chipsets to be upgraded in the field to support new functions according to new performance requirements or new features
at the same time, softsku also supports customers to develop common hardware, so as to save their special investment for different development projects. By using the cloud softsku of Qualcomm, automobile manufacturers can not only provide a variety of customized services for consumers, but also create rich and immersive in car experience through personalized features
in addition, the car to cloud service of Qualcomm also supports the global cellular connection function, which can be used to guide the initialization service and provide wireless communication connection throughout the life cycle of the car
According to nakul ggal, senior vice president of proct management of Qualcomm technologies, combined with snapdragon's 4G and 5g platforms and snapdragon's digital cockpit platform, Qualcomm's car to cloud service can help automobile manufacturers and first tier suppliers meet the new expectations of contemporary car owners, including flexible and continuous technology upgrading and continuous exploration of new functions throughout the whole automobile life cyclein addition, Qualcomm technologies also announced on ces2020 that it will continue to deepen its cooperation with general motors. As a long-term partner, GM will support digital cockpit, on-board information processing and ADAS (advanced driving assistance system) through continuous cooperation with Qualcomm technologies P>
conclusion: Giants raging like a storm in the field of automatic driving, HUAWEI has said before it wants to build intelligent core sensors for automobile, such as lidar and millimeter wave radar. After that, Arm led the establishment of the automatic driving Computing Alliance. Now the mobile chip giant Qualcomm has released a new automatic driving platform, and has made further progress in the field of automobile and automatic driving. <
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game player is concive to the faster and better landing of autopilot cars, but on the other hand, as more hardcore players expand their business boundaries, competition in the market will become more intense. p>
this article comes from the author of car home, which does not represent the standpoint of car home
A: first, block height does not refer to the capacity of the blockchain
Second, the connotation of block heightblock height is the number of blocks linked to the main chain, that is, the number of blocks connected to the blockchain
Block height is the indicator of block2. The block has two identifiers, one is the hash value of the block head, the other is the block height
3. The hash value of the block head is the number obtained by the second hash calculation of the block head by sha256 algorithm
Theblock hash value can uniquely and explicitly identify a block, and any node can independently obtain the block hash value by simply hashing the block head
4. Block height refers to the position of the block in the blockchain
Theblock height is not a unique identifier

this kind of currency can only be treated as a virtual commodity at most,
and it is operated by an unknown private company,
it is easy to manipulate the price and cause losses to investors,
even the operation platform runs away or goes bankrupt
the internal force of continuous beam is generally analyzed by the finite element method of bar (matrix displacement method) with computer,
manual calculation is also OK, but manual calculation is too troublesome
another algorithm is to check the static calculation manual. There are corresponding internal force coefficients in each span and each support. Find out the internal force coefficient and then calculate the internal force value according to the formula.
