The uncertainty inherent to quantum mechanics has long left physicists wondering whether the observations we make on the ...
In a world dominated by algorithms, it's common to associate them with a negative bias. Mathematician Clara Grima defends ...
Rather than study how to use AI, students in this machine learning class work with the math that makes the AI work.
Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...
We’ve often thought that 3D printers make excellent school projects. No matter what a student’s interests are: art, software, ...
From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...
As artificial intelligence (AI) takes on increasingly critical roles—from managing power grids to piloting autonomous ...
Recently, Artificial Intelligence (AI) has reached a historic milestone in one of the world’s toughest math contests, the International Mathematical Olympiad (IMO). Google DeepMind’s Gemini Deep Think ...
Abstract: As power systems shift from centralized synchronous machines to distributed, converter-based resources such as solar, wind, and EVs, Virtual Synchronous Machines (VSMs) offer a scalable and ...
Abstract: Alzheimer's disease (AD) and Schizophrenia (SCZ) are prominent neurodegenerative conditions and leading causes of dementia, resulting in progressive cognitive decline and memory loss.
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