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1982, ZX81 Memocalc, for low cost ~$100 personal computer with 16K RAM expansion, launched by Memotech in April 1982. 1982, Multiplan for CP/M operating system, later becoming Microsoft Excel, launched Aug 1982. 1983, Lotus 1-2-3 for MS-DOS, the first killer application for the IBM PC, it took the market from Visicalc in the early 1980s.
This is a list of free and open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses.Software that fits the Free Software Definition may be more appropriately called free software; the GNU project in particular objects to their works being referred to as open-source. [1]
According to Microsoft, Copilot can assist users with data analysis in Microsoft Excel spreadsheets by formatting data, creating graphs, generating pivot tables, identifying trends, and summarizing information, as well as guiding users using Excel commands and suggesting formulas to investigate user questions.
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Lennart Heim, another co-author of the 2022 paper who leads the compute governance work at the Centre for the Governance of AI, warned last year that the hardware cost of training one new frontier ...
In 2018, Chegg acquired WriteLab, which uses AI to analyze text and suggest improvements, [39] [40] and online flash card tool StudyBlue. [41] [42] [43] During late 2019, Chegg acquired online coding, design, and data science school Thinkful, [44] for $80 million cash plus $20 million in cash or stock based on performance. [45]
PowerBuilder is used primarily for building business CRUD applications.. Although new software products are rarely built with PowerBuilder, many client-server ERP products and line-of-business applications built in the late 1980s to early 2000s with PowerBuilder still provide core database functions for large enterprises in government, [6] [7] [8] higher education, [9] manufacturing, insurance ...
The loss function is a function that maps values of one or more variables onto a real number intuitively representing some "cost" associated with those values. For backpropagation, the loss function calculates the difference between the network output and its expected output, after a training example has propagated through the network.
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