Supply and demand of computing power
in short, bitcoin ETF tracks the price of bitcoin. If the price of bitcoin ETF goes up, then the price of bitcoin goes up; On the contrary, if the price of bitcoin falls, the price of bitcoin ETF will fall. The difference between bitcoin and bitcoin ETF is that we don't have to worry about the bitcoin in our wallet being stolen by hackers, and we don't have to worry about where our bitcoin should be stored. This is a promotion on the technical level. If we buy bitcoin ETF, we will no longer have to learn how to operate bitcoin on the computer.
2.0.55x + 0.3 (100-x) = 0.52 * 100, the solution is x = 88
assuming that the hourly electricity consumption of refrigerators is the same, the "peak valley price" is not implemented: 24 * 0.52 = 12.48, the "peak valley price" is implemented:
11 * 0.3 + 13 * 0.55 = 10.45
3. Reasonable suggestions: through the analysis of the annual electricity consumption of households, the peak valley ratio is good, and the actual electricity price has been lower than the average electricity price of residents, which not only makes households reasonably rece electricity expenditure, but also makes positive contributions to energy conservation and emission rection; Peak cutting and valley filling & quot; Pressure plays a bigger role.
For each additional order, the system calculates the optimal path in milliseconds; At the peak, the algorithm needs to be executed about 2.9 billion times per hour... The takeout instry seems to be manual work, but in fact it contains many cutting-edge technologies and is a vivid application of artificial intelligence. How much computing power is there in a takeout? A survey was concted on this issue
takeout sometimes has a bottleneck in data calculation
it may be hard to imagine that weather is a very important factor affecting intelligent scheling. Are you afraid of rain or wind? Actually, it's not. There's a concept of accuracy
in the face of huge data volume and millisecond level decision-making, any subtle change can proce amplification effect. The delivery system requires that the probability of finding the optimal path for riders within milliseconds reach 97%, including small range of rainfall, wind speed and related road water, riders' transport capacity and other indicators should be as fine as possible
"it is difficult for us to accurately judge how the rainstorm will affect the rider's speed. In this kind of weather, the probability of unexpected events rises, and the order volume often doubles, bringing about a large gap between supply and demand. " He Renqing said that in such cases, the takeout platform usually relieves the scheling and computing pressure through user guidance, relay delivery and other means
weather index is only one factor affecting the calculation power. In data computing, we are faced with a series of challenges from data extraction, hardware operation, computing power and so on. Besides the algorithm, we also need the coordination ability from the whole instry
Li Dewen, deputy director of the information center of the Ministry of instry and information technology, said that at present, China's data as a whole has problems of low quality and low value utilization, and there is still a gap with foreign countries in new computing platform and distributed computing architecture. The integration of data and instry, and the connection of data between instries need to be further improvedsystem and rider learning "artificial intelligence" is the direction
no matter how smart the "brain" also needs continuous evolution. To make delivery more intelligent, we should also strengthen the learning ability of the system itself
he Renqing said that at present, the delivery of takeaway mainly relies on maps and navigation, but the navigation mole on the market can not meet the demand. While strengthening the address resolution mole and correcting the navigation and positioning, it also relies on the marking and feedback of riders“ For example, relying on the rider behavior data, the system will get more accurate information. When a rider performs a new route, the system records and learns. " He Renqing said
without human support, it is difficult to talk about the development of computing power“ "Artificial + intelligence" will be the mainstream direction of big data application development
Li Dewen said that at present, there is still a lot of room for big data application to grow, especially the correction of technical deviation and the improvement of model by manual work, the continuous learning between data and behavior and between data and people, and the improvement of service intelligence and decision accuracy
only by grasping the big data can we make more money
the news came from the central broadcasting network
CSCW shipping links 80 community group buying, 90 community group buying, 100 online Red live broadcasting bases, 500 we media, 3000 + University channels, 75000 dealer channels, 300000 entrepreneurs, 1.5 million offline stores. With the support of big data, algorithms, cloud computing and other underlying technologies, it empowers platform customers through the operation mode of data + computing power + algorithm. Since then, we have no longer been restricted by the epidemic situation, time and space. We have provided online real-time proct information display, conference negotiation, efficient coordination of sales and purchase, accurate matching of supply and demand, and service platform for source and channel merchants Information link sharing and other services will comprehensively help enterprises expand the market, rece the cost of cooperative business, improve decision-making efficiency and enhance brand competitiveness.