This is Part 2 of the series — learn how to train your own word embeddings with Word2Vec, step-by-step in Python. #Word2Vec #NLP #WordEmbeddings ...

Available in closed beta, the model animates the platform’s characters in a variety of styles and voices, from human-like characters to 2D animal cartoons ... real life and create realistic ...

Scientists have created the most detailed functional brain map to date by tracing connections between 84,000 neurons in a mouse's visual cortex. The research, which involved showing the mouse ...

The study identifies a new class of layered antiferromagnets with spin-valley locking, offering efficient spin control ...

List comprehensions provide a more concise and often more efficient way to create lists in Python. We can leverage them to implement matrix transpose in a single line of code. This code achieves the ...

The initialValues parameter can also be a callback, which you can use to dynamically create items for each position in the matrix. The callback can also accept an argument which will resolve to the ...

Abstract: This paper proposes an efficient method for calculating the eigenvalues of large-scale exponential correlation matrices by leveraging tridiagonal matrix theory. The approach explicitly ...

Abstract: We propose a systematic and efficient extension of the multimodal transfer-matrix method to obtain the dispersion diagram of structures with 2-D periodicity specifically targeted to ...

Neural activity was recorded in a live, genetically modified mouse while it viewed visual stimuli, including clips from The Matrix, Mad Max: Fury Road, and Star Wars: Episode VII. These recordings ...