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I was on a panel Assessments for Non-CS Major Computing Classes (see the ACM DL paper here ). Her talk was particularly relevant to me because she emphasized how she is studying business students, not computerscience students her research is about how non-CS students interact with computing and programming.
While my academic background is in the social sciences and more specifically educational studies, I believe that regardless of your discipline, social sciences or naturalsciences, the research process, structurally speaking, is more or less the same. What you need is access to academic search engines.
Topics include earth sciences, nature, science, technology, history, space, the human body, sports, politics, philosophy, and more. C-Span Classroom is free but requires registration to access materials. Explore.org is the world’s leading philanthropic live nature cam network and documentary film channel.
These STEM programs introduce students to technology concepts from an early age and show them how fun science and tech can be. Whether based on the naturesciences or focused on engineering and coding, Des Moines has opportunities for every future scientist or techie. Children ages 6-17 can join the morning or afternoon camps.
See also: “Wolfram|Alpha as the Way to Bring Computational Knowledge Superpowers to ChatGPT” » It’s Just Adding One Word at a Time That ChatGPT can automatically generate something that reads even superficially like human-written text is remarkable, and unexpected. But how does it do it? And why does it work?
And all I’ll be able to do here is give a snapshot of my current thinking—which will inevitably be incomplete—not least because, as I’ll discuss, trying to predict how history in an area like this will unfold is something that runs straight into an issue of basic science: the phenomenon of computational irreducibility.
We can think of the ruliad as the entangled limit of all possible computations—or in effect a representation of all possible formal processes. Many of these consequences are incredibly complicated, and full of computational irreducibility. And in a way our Physics Project begins from a similar place.
Computational Foundations for the Second Law of Thermodynamics (forthcoming) 2. But it wasn’t long before I started hearing mentions that somewhere at the school there was a computer. I’d seen a computer in real life only once—when I was 10 years old, and from a distance. How Did We Get Here?
And yet, many small farmers have limited access to resources and find themselves at a social disadvantage due to bias and prejudice. With less access to technology and fertiliser, small farms are particularly vulnerable to the effects of climate change.
But in a quirk of history that I now realize had tremendous significance, I had just spent a couple of years creating a big computer system that was ultimately a direct forerunner of our modern Wolfram Language. So for me it was obvious: if I couldn’t figure out things myself with math, I should use a computer. Computation theory.
To foster this critical ability, here are five DIY coding activities that creatively teach coding concepts without the need for a computer: Binary Code Bracelets: Create bracelets with beads in two colors to represent names coded in binary. It’s an engaging way to connect the abstract world of coding with a tangible, creative project.
And in it this computation is going on: ✕. Let’s change the rule for the computation a bit. But that ignores the phenomenon of computational irreducibility. But it’s a fundamental fact of the computational universe that the result doesn’t have to be simple: ✕. Imagine you have some sophisticated AI.
Computational Foundations for the Second Law of Thermodynamics (forthcoming) 2. And indeed particularly in chemistry and engineering it’s often been in the background, justifying all the computations routinely done using entropy. This is part 3 in a 3-part series about the Second Law: 1. How Did We Get Here?
Science museums from all around the world capture and document this knowledge allowing anyone interested in learning about science, to access this wealth of knowledge and learn about major achievements and milestones that got us where we are today. The Museum of NaturalSciences contains several galleries and sections.
Scientific simulations — an advanced type of computational model that not only represents a real-world phenomenon, but aims to predict how the phenomenon might change under different conditions or parameters. Software — a set of instructions, scripts or programmes that are used to operate computers and perform specific tasks.
Published: Access to quality healthcare is a basic human right. Dr Narges Armanfard from McGill University and Mila Quebec AI Institute in Montreal, Canada, has set up iSMART Lab to develop intelligent computer systems that can support medical professionals. How can intelligent systems revolutionise healthcare?
Projects like 15th Street Farm NEP can help towards tackling food security by providing knowledge, skills and agency to young people so that they will have a role in developing a food system where nutritionally adequate, safe and socially acceptable food is available and accessible. Take a look at GrowVeg.
So is that basically inevitablesay as a consequence of computational irreducibility ? Or maybe, at least, theres some way of building out a higher-level mathematical narrative for a theorem like this that will take one through the proof in human-accessible steps. But what about something more like a theory in naturalscience?
Collaboration “Unlike in naturalsciences, teams of collaborators are usually smaller in political science,” says Damien. Additionally, the rise of the computer age has created big opportunities for political science. Damien says that working in teams is more fun and more motivating, and André agrees.
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