Ada Lovelace Quotes

The Analytical Engine has no pretentions whatever to originate anything. It can do whatever we know how to order it to perform. It can follow analysis, but it had no power of anticipating any analytical relations or truths.

In the case of the Analytical Engine, we have undoubtedly to lay out a certain capital of analytical labour in one particular line, but this is in order that the engine may bring us in a much larger return in another line.

Everything that humans can do a machine can do.

Modern civilization is highly computerrorized.

When it comes to our perceptions, one is an event, two is a pattern, three is a trend, and four is fact.

The ideas which led to the Analytical Engine occurred in a manner wholly independent of any that were connected with the Difference Engine. These ideas are indeed, in their own intrinsic nature, independent of the latter engine and might equally have occurred had it never existed nor even been thought of at all.

A computer is a great device because it enables you to do anything which is automatic, anything that you don't need your understanding for. Understanding is outside a computer. It doesn't understand.

Managers used to say, 'I have a gut feeling.' Do you know what a gut feeling is for a professional manager? It's a pattern that they recognize. But if your system can recognize that pattern, if it's not just a couple of managers who know that pattern, then the system's gut feeling can tell you which way to go. That's really liberating.

The Analytical Engine does not occupy common ground with mere 'calculating machines.' It holds a position wholly its own, and the considerations it suggests are more interesting in their nature.

Sometimes I implant thoughts, sometimes I extract thoughts, but I don't like to explain it too much. It's based on science, deduction, and reasoning - it's a bit like what 'Sherlock' does, except that's a dramatised version. I look at every clue around me.

If you have an analytical bent like I do, going back to my days as a programmer, you like to ask questions.

Machine learning is the science of getting computers to learn without being explicitly programmed.

As you deal with more and more complex systems, it becomes harder and harder to find deep and interesting properties.

The most successful detectives owe their success to noticing small signs. Scouts are natural detectives and never let the smallest detail escape them. These small things are called by Scouts 'Sign.'

To me, mathematics, computer science, and the arts are insanely related. They're all creative expressions.

The truth is, as you know, people like us look at what's happening in the world, and then we project it forward. We think, 'If I know A and B, then I've got to know that C and D are coming,' and that's kind of the way it's been with my fiction.

Whether you're looking at manufacturing and the use of robotics or the knowledge industries, they need computer programmers.

I listen to things that are popular and try to think about it in a mathematical way.

Experts are able to identify patterns related to a specific problem relevant to their area of knowledge. But because nonexperts lack that base of knowledge, they are forced to rely more on their brain's ability for abstraction rather than specificity.

My dad is a mathematician; I think we both have that problem-solving, looking-for-patterns way of thinking.

The Analytical Engine has no pretensions whatever to originate anything. It can do whatever we know how to order it to perform... But it is likely to exert an indirect and reciprocal influence on science itself.

Chess masters don't evaluate all the possible moves. They know how to discard 98 percent of the ones they could make and then focus on the best choice of the remaining lot. That's the way expertise works in other fields, too: Wise practitioners recognize familiar patterns and put their creativity, improvisation, and skill toward the marginal cases.

Attention to detail - Sherlock certainly has that, and my memory is pretty good - but not as good as his.

I'm not a programmer; I'm more of a performer. I'm really bad at math.

In A.I., the holy grail was how do you generate internal representations.