On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...
Today in power electronics, the folks over at Texas Instruments have put together a video covering low-dropout (LDO) linear regulators. For a hacker, power is pretty fundamental, so it behooves us to ...
Today in power electronics, the folks over at Texas Instruments have put together a video covering low-dropout (LDO) linear regulators. For a hacker, power is pretty fundamental, so it behooves us to ...
Abstract: The Linear Quadratic Regulator (LQR) has been frequently employed for controlling islanded microgrids (MGs). However, it shows limited effectiveness in transient response regulation and ...
Abstract: We propose a methodology to optimally design a control law for a quantum quadratic system, by exploiting the classical LQR for a state space representation. This is applied to the first and ...
Alright, I admit that the title is a bit over the top. So, what do I mean by it? I mean that: (1) The application of PWM control to a regulator does not significantly degrade the inherent DC accuracy ...
Figure 1 A typical regulator output programming network where the Vsense feedback node and values for R1 varies from type to type. Quantitatively, the Vsense feedback node voltage varies from type to ...
Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...
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