AI could soon spew out hundreds of mathematical proofs that look "right" but contain hidden flaws, or proofs so complex we can't verify them. How will we know if they're right?
Cognitive overload can create a bottleneck during math lessons, but there are simple strategies to clear up studentsā brain space for complex problem-solving.
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...
Dot Physics on MSN
Python physics tutorial: Non-trivial 1D square wells explained
Explore non-trivial 1D square wells in Python with this detailed physics tutorial! šāļø Learn how to model quantum systems, analyze energy levels, and visualize wave functions using Python simulations ...
Dot Physics on MSN
Python physics tutorial: Modeling 1D motion with loops
Learn how to model 1D motion in Python using loops! šāļø This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...
OpenAIās unreleased model solved five of 10 unpublished research-level math problems and proposed a breakthrough physics formula, signaling a new era for AI in science.
Finding the right book can make a big difference, especially when youāre just starting out or trying to get better. Weāve ...
A marriage of formal methods and LLMs seeks to harness the strengths of both.
Abstract: Linear systems involved in engineering and scientific calculations can be more easily analyzed using similarity transformation. However, understanding the numerous abstract linear algebra ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results