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  2. Tesla Dojo - Wikipedia

    en.wikipedia.org/wiki/Tesla_Dojo

    Tesla Dojo is a supercomputer designed and built by Tesla for computer vision video processing and recognition. [1] It is used for training Tesla's machine learning models to improve its Full Self-Driving (FSD) advanced driver-assistance system .

  3. How Tesla's Dojo supercomputer will power the 'Muskonomy' - AOL

    www.aol.com/finance/teslas-dojo-supercomputer...

    Tesla's Dojo supercomputer consists of several "system trays" of the company’s in-house D1 chips, which are built into cabinets that then merge into an "ExaPOD" supercomputer.

  4. How do you calculate cost basis on investments? - AOL

    www.aol.com/finance/calculate-cost-basis...

    Example of cost basis. Let’s say you buy 50 shares of Company A for $20 per share. The total cost of this purchase is $1,000 (50 shares x $20). This becomes your cost basis. A few years later ...

  5. Single-precision floating-point format - Wikipedia

    en.wikipedia.org/wiki/Single-precision_floating...

    A floating-point variable can represent a wider range of numbers than a fixed-point variable of the same bit width at the cost of precision. A signed 32-bit integer variable has a maximum value of 2 31 − 1 = 2,147,483,647, whereas an IEEE 754 32-bit base-2 floating-point variable has a maximum value of (2 − 2 −23 ) × 2 127 ≈ 3.4028235 ...

  6. Basis of estimate - Wikipedia

    en.wikipedia.org/wiki/Basis_of_estimate

    A pivot table in BOEMax, a Basis of Estimate software package. To create a BOE companies, throughout the past few decades, have used spreadsheet programs and skilled cost analysts to enter thousands of lines of data and create complex algorithms to calculate the costs. These positions require a high level of skill to ensure accuracy and ...

  7. Elon Musk’s Dojo supercomputer added $70 billion ... - AOL

    www.aol.com/finance/elon-musk-dojo-supercomputer...

    Dojo attempts to solve perhaps the biggest hardware problem facing AI. Elon Musk’s Dojo supercomputer added $70 billion—the value of BMW—to Tesla’s market cap. So what exactly is it?

  8. IEEE 754-1985 - Wikipedia

    en.wikipedia.org/wiki/IEEE_754-1985

    IEEE 754-1985 [1] is a historic industry standard for representing floating-point numbers in computers, officially adopted in 1985 and superseded in 2008 by IEEE 754-2008, and then again in 2019 by minor revision IEEE 754-2019. [2] During its 23 years, it was the most widely used format for floating-point computation.

  9. How Tesla's Dojo supercomputer will power the 'Muskonomy' - AOL

    www.aol.com/teslas-dojo-supercomputer-power...

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