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A Tensor lamp is a trademarked brand of small high-intensity low-voltage desk lamp invented by Jay Monroe. [ 1 ] [ 2 ] The lamp was mainly popular during the 1960s and 1970s. [ 3 ] [ 4 ] The lamp was originally used by doctors and dentists, and later became more widely used. [ 5 ]
A lightbulb socket, lightbulb holder, light socket, lamp socket or lamp holder is a device which mechanically supports and provides electrical connections for a compatible electric lamp base. [1] Sockets allow lamps to be safely and conveniently replaced (re-lamping).
The miniature 12-volt DC automotive-type #93 lightbulb utilized by Tensor, Lampette, and other designers of similar products, are smaller than the standard household 110/220-volt AC incandescent light bulb but produced more lumens in a smaller area, so that the lamp bulbs burn out at an increased rate. While standard bulbs last around 1,000 ...
Bulbs of this type are commonly used in automotive lighting and in low-voltage lighting used in landscape lighting. The bulb may have dual filaments, acting as both a low-wattage tail light or parking light and a higher-wattage brake light or turn signal. In this case, one has its contacts near the center of the base, and the other toward the ...
The bulb is halogen, which was previously mainly used in the automotive industry. [5] The Tizio is available in a variety of sizes and colours; the original, and most widely known, is the 50 (referring to the wattage of the bulb) in black. The mid-sized model is the 35, and there is the bedside-sized Micro (20 Watts).
230/240-volt incandescent light bulb with E27 screw baseEdison screw (ES) is a standard lightbulb socket for electric light bulbs. It was developed by Thomas Edison (1847–1931), patented in 1881, [1] and was licensed in 1909 under General Electric's Mazda trademark.
Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. [2] Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of its cloud infrastructure and by ...
The tensor product of two vector spaces is a vector space that is defined up to an isomorphism.There are several equivalent ways to define it. Most consist of defining explicitly a vector space that is called a tensor product, and, generally, the equivalence proof results almost immediately from the basic properties of the vector spaces that are so defined.
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