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However, one thing that’s often overlooked is computerscience education, an incredibly essential subject and skill in today’s digital era. While the science aspect (chemistry, biology, and physics) and mathematics (calculus and algebra) is a breeze to figure out, the engineering and technology aspects are less straightforward.
Specifically, the number of women in science and engineering rose from 23% in 1993 to 28% in 2010 but has stalled since. In particular, data science, computerscience, and engineering are crucial to every industry and career field in the future, including healthcare. In fact, in 2019, 36.3% of physicians and 50.5%
But as it happens, Danish academics have been working over the past few years to figure out how to apply computationalscience to forecast when a person will die. A study on this topic, led by Professor Sune Lehmann at Denmark University, was published under Nature ComputationalScience in 2023.
“Learning probability without being able to create computer models is like learning chemistry without being able to do experiments,” says Min. • At university, degrees in statistics, mathematics, data science or computerscience will all offer classes in statistics and probability.
First, there’s the matter of what architecture of neural net one should use for a particular task. One might have thought that for every particular kind of task one would need a different architecture of neural net. OK, so let’s say one’s settled on a certain neural net architecture.
Perhaps even the architecture of the network can change. Probably it’s because neural nets capture the architectural essence of actual brains. But what kinds of pockets of computational reducibility exist in such cases? We know the ones that correspond to “known science”. But one can’t have a truly “model-less model”.
But among the examples I’ve at least begun to investigate are metamathematics, molecular biology, evolutionary biology, molecular computing, neuroscience, machine learning, immunology, linguistics, economics and distributed computing. Chemistry / Molecular Biology. Evolutionary Biology. There are many.
But among the examples I’ve at least begun to investigate are metamathematics, molecular biology, evolutionary biology, molecular computing, neuroscience, machine learning, immunology, linguistics, economics and distributed computing. Chemistry / Molecular Biology. Evolutionary Biology. There are many.
The global structures of metamathematics , economics , linguistics and evolutionary biology seem likely to provide examples—and in each case we can expect that at the core is the ruliad, with its unique structure. Some correspond to theoretical computerscience. Why can’t one human consciousness “get inside” another?
. “Lick” Licklider —who persuaded Ed to join BBN to “teach them about computers”. It didn’t really come to light until he was at BBN, but while at Lincoln Lab Ed had made what would eventually become his first lasting contribution to computerscience. Just under 30 professors of computerscience came down to IBM.
I then turned my head to architecture, then engineering, then chemistry, until eventually, I came across materials science. The blend of engineering, physics and chemistry it uses to reveal the ‘science of materials’ is the perfect fit for me! . A good level of maths is required across many science and engineering degrees.
But mostly all I could do was scour books on art history (and architecture) looking for relevant pictures (and, yes, it was books at the time—and in fact the web didn’t immediately help even when it became available). In 1991 I thought about dashing off an Introduction to Computing book (maybe I should do that now!). (One
What Ill be doing builds on my recent work on using the computational paradigm to study the foundations of biological evolution. And indeed in constructing idealized organisms well be using the very same class of basic computational models. A Minimal Metamodel How can we make a metamodel of medicine?
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