Microsoft has increased its bets on machine learning and analysis. From hiring top data scientists to acquiring niche startups, Redmond took all the steps and turned Azure into one of the best analytics platforms. These investments have begun to pay off for Microsoft. Microsoft has successfully demonstrated and demonstrated the value of data-driven insights to governments, healthcare organizations, and public sector organizations. Emerging markets that are becoming technology-savvy are the source of new trends in machine learning and artificial intelligence. With its strong presence in India, Microsoft is working with local government and central government in India to bring technology dividends to the public. Microsoft is making cloud, big data, machine learning and data analytics that government agencies can use. Andhra Pradesh is a state in southern India that was recently split from Telangana. This place is busy building core infrastructure and new capitals. Its chief minister is Chandrababu Naidu, who is considered to have a technological vision. Under his leadership, Andhra Pradesh is accelerating to become India's future technology hub. Its state government and Microsoft signed a memorandum of understanding (MoU) to deal with some complex challenges. Minimizing student dropouts and increasing employment rates is critical to the developing Andhra Pradesh. The first move between Andhra Pradesh and Microsoft led to an application that could help the state's Ministry of Education predict dropout rates. This Azure machine learning-based tool handles some complex data, including student performance, school infrastructure and teacher skills to find meaningful patterns. The results of the analysis were used by local governments to adjust plans, processes and investments in the most important areas. In Andhra Pradesh, more than 10,000 schools use this cloud-based solution to accurately predict school dropout rates. This will enable the state education department to reduce student dropouts at the right time. Microsoft India has also applied the concept of machine learning to predicting the rate of degradation after ophthalmic surgery. In collaboration with the LV Prasad Eye Institute (LVPEI), based in Hyderabad, Microsoft has proposed solutions to help hospitals brainstorm and collect millions of clinical data from multiple medical institutions where patients receive eye disease treatment. This also includes demographic details of the patient and their geographic location map. A group of doctors from LVPEI worked closely with Microsoft to build predictive models for measuring the success rate of ophthalmic surgery. This model will accurately predict the patient's new "eyesight" (naked eye vision, UCVA for short). This solution will help doctors make informed decisions when explaining the procedure and outcomes to patients and, more importantly, reducing pain and medical costs. Another area in which Microsoft Azure and machine learning have an impact is agriculture. The International Crops Research Institute of the International Semi-Arid Region (ICRISAT) has used Azure Machine Learning to bring digital agriculture to thousands of farmers in Telangana and Andhra Pradesh. The solution includes a mobile app for farmers and a personalized village advisory control panel. This guided seeding application leverages the power of machine learning to infer insights from weather forecasting models, historical data related to precipitation, and crop yields. When these data are combined with machine learning algorithms, the ideal seeding time can be accurately predicted, so that farmers can get the most benefit. Image source: ICRISAT The village advisory control panel communicates to farmers the advice on some environmental factors that determine crop yields. The dashboard also incorporates farmland data from many regions of the state that ICRISAT collects and then uploads to Azure. Visual indicators provide important metrics such as soil quality, fertilization recommendations and a seven-day weather forecast. In a recent experiment in Andhra Pradesh, information was sent to farmers in the form of a local language. Cloud-based machine learning platforms will play a key role in urging local governments to proactively address management and administrative issues. Convenient super-computing power, cheaper storage and ubiquitous web services make modern technology accessible to the general public. This article taken from: heart compile Janakiram MSV, the machine;: Forbes, author
Bitcoin mining equipment is mainly highly specialized ASIC mill , The maximum computing power of a single miner is 110T/s( Ant S19Pro mill ), The scale of computing power of the whole network is 120EH/s above . Ethereum's mining equipment is mainly graphics card mining machine , Professional ASIC Mining machines are very few , On the one hand, it is because of the of Ethereum mining algorithm [ resist ASIC sex " Improved R & D efficiency ASIC The threshold of the miner , So how much do you know about the mainstream Ethereum mining machine ?
Ethereum mining algorithm has higher requirements for memory , The purpose of this design limits ASIC The use of chips in Ethereum mining . From the results , Most Ethereum mining machines are graphics card machines , This reflects the application of Ethereum mining algorithm ASIC Success on . From the absolute value of computational power scale , The computing power of Ethereum is about 200TH/s, The computing power of bitcoin is about 120EH/s, The latter is close to the former 60 ten thousandfold .
ASIC Mining machines have high computing power , Large power consumption , Like the latest ant S19Pro mill , Rated power consumption is 3250W, Need to consume... Every day 78 Degree electricity , According to the current currency price and 0.23 The electricity price in wet season is RMB , The proportion of electricity charge is 30.68%. Other older bitcoins ASIC mill , Like ants T17 series , The proportion of electricity charges generally exceeds 50%. by comparison , The power consumption of the graphics card miner is low , The proportion of electricity is also low . such as 5600XT8 Graphics card miner of card .
Ant S19-95T It adopts aluminum alloy profile electromechanical integrated design , Parallel four fan structure . According to the measured data , In line with and better than the official data .S19 The series is provided by TSMC 7nm chip , A new generation of customized chips with perfect whole machine architecture and high conversion rate APW12 Power Supply , Reduce power loss during conversion , Use more energy-saving , Greatly shorten the return cycle of the miner . In addition, the newly upgraded mining machine operation interface is also more humanized , Real time computing power . The average computing power and the operation of each chip are clear at a glance .
Shenma mining machine M30S-86T/88T/90T, Bit micro 2020 Launched in 2013 M30S Series of new mining machines , Announced that it would M30S The series is expanded to three 3X product . stay 3X In the new standard , Bit micro promises a one-year warranty for its series of products . This series of mining machines are provided by Samsung 8nm chip , Among them, god horse M30S series , The power consumption is 38J/T, Provide higher computing power , Lower power consumption and high stability.
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