Reference

The following paper shouold be referred to to understand the Anomalous Hall Effect:

[1] N. Nagaosa, J. Sinova, S. Onoda, A. H. MacDonald, and N. P. Ong, “Anomalous Hall effect,” Rev. Modern Phys., vol. 82, no. 2, pp. 1539–1592, May 2010, doi: 10.1103/RevModPhys.82.1539.

Introduction

Introduction

An I-V curve measurement is performed by applying a series of voltages to the device. At each voltage, the current flowing through the device is measured. The supplied voltage is measured by a voltmeter connected in parallel to the device, and the current is measured by an ammeter connected in series. This voltmeter and ammeter can now be integrated to SMU: Source Measure unit, which has been used in this project.

Paths to Superintelligence

Networks and organizations

Another concievable path to superintelligence is Gradual enhancement of networks and organisations that link individual human minds with one another and various artifacts and bots.

Humanity has gained a lot in the collective intelligence in the form of many sources, including innovations in communictaions technology, such as writing and printing, and above all the introduction of language itself. increases in the size of the world population and the density of habitation; various improvements in organizational techniques and epistemic norms; and a gradual accumulation of institutional capital.

Threading

What is threading in python?

A thread is a separate flow of execution. This means that your program will have two things happening at once. But for most Python 3 implementations the different threads do not actually execute at the same time: they merely appear to.

MACHINE LEARNING

1. NumPy is a powerful Python library for numerical and scientific computing that provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays efficiently.

2. TensorFlow is an open-source machine learning framework developed by Google that enables the creation and training of deep learning models through the use of computational graphs and a wide range of neural network layers and optimizers.

3. Theano was an open-source numerical computation library for Python that was widely used for deep learning and scientific computing but has been largely replaced by more modern deep learning frameworks like TensorFlow and PyTorch.