CSTEM
NOVEMBER 30, 2021
The Bureau of Labor Statistics projects the most robust growth in Computers & Mathematics, Architecture and Engineering. Thanks to COVID-19, Life, Physical, and Social Science are included in the most robust projected growth areas. Over the coming decade, even more, opportunities will continue to open up.
Futurum
SEPTEMBER 14, 2023
Dr Min Xu, a statistician specialising in network analysis at Rutgers University, has developed a probabilistic model that can determine how a network has grown, which not only has applications in epidemiology, but is also useful in social science, genetics and counter-terrorism efforts. What is a network? “A
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Futurum
APRIL 12, 2023
I started studying architecture, but after two weeks, I realised I didn’t want to study buildings. I wanted to study something living, so I switched to an animal science program. I began my career in the technical side of GIS, but I have been wooed to the social sciences.
Stephen Wolfram
MARCH 5, 2024
Perhaps even the architecture of the network can change. Probably it’s because neural nets capture the architectural essence of actual brains. But what if we just set up neural nets with a given architecture, and pick their weights at random? But one can’t have a truly “model-less model”. Let’s look at a very simple case.
Futurum
OCTOBER 26, 2022
Smart parking app software architecture and key software structures. John agrees that combining studies in computing with science, social science or business courses will not only give you a broader education but will allow you to apply your software engineering skills in a wider range of applications (e.g., © IEEE 2021.
Stephen Wolfram
MARCH 15, 2023
Inevitably there has to be some underlying model for how to do that following—typically in practice just defined by “what a neural net with a certain architecture will do”. We’ll be able to say some things—though perhaps in ways that are closer to psychology or social science than to traditional exact science.
Stephen Wolfram
AUGUST 22, 2023
There’ll be more specialized sessions exploring > implications and applications in areas such as computer science, > biology, social science, physics, mathematics, philosophy, and future > of technology. > > I’ll be giving a series of in-depth lectures to explain the core > ideas of NKS.
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