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The Wheatstone bridge is a circuit used for measuring an unknown resistance
by comparing it to three known resistances. It was invented by Samuel Hunter
Christie in 1833, and later improved upon by Sir Charles Wheatstone in 1843.
Wheatstone was an English physicist and inventor who is best known for his
contributions to the development of the telegraph. He was born in Gloucester,
England in 1802 and began his career as an apprentice to his uncle, a maker of
musical instruments. He later became interested in physics and began conducting
experiments in electricity.
In 1837, Wheatstone and William Fothergill Cooke developed the first electric
telegraph, which used a system of wires and electromagnets to transmit messages
over long distances. The telegraph revolutionized communication and paved the
way for the development of modern telecommunications.
In 1843, Wheatstone invented the Wheatstone bridge circuit, which he used to
measure the resistance of various materials. The circuit consists of four
resistors arranged in a diamond shape, with a voltage source connected across
one diagonal and a galvanometer connected across the other diagonal. By
adjusting the resistance of one of the known resistors, the unknown resistance
can be determined.
The Wheatstone bridge is still widely used today in various applications,
including strain gauge measurements and temperature sensors. It remains an
important tool in the field of electrical engineering and is a testament to
Wheatstone's legacy as a pioneer in the field of telecommunications and
electrical instrumentation.
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AI Technical Trustability Update
While working on an update to my
RF Cafe Espresso Engineering Workbook project to add a couple calculators about
FM sidebands (available soon). The good news is that AI provided excellent VBA code
to generate a set of Bessel function
plots. The bad news is when I asked for a
table
showing at which modulation indices sidebands 0 (carrier) through 5 vanish,
none of the agents got it right. Some were really bad. The AI agents typically explain
their reason and method correctly, then go on to produces bad results. Even after
pointing out errors, subsequent results are still wrong. I do a lot of AI work
and see this often, even with subscribing to professional versions. I ultimately
generated the table myself. There is going to be a lot of inaccurate information
out there based on unverified AI queries, so beware.
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