Memers are making deepfakes, and things are getting weird.

Grace Windheim had heard of deepfakes before. But she had never considered how to make one. It was a viral meme using the technology that led her to research the possibility—and discover that it was super easy and completely free.

Within a day, she had created a step-by-step YouTube tutorial to walk others through the process. “Making one of these deepfakes and overlaying audio is not as complicated as you may think,” she says in the video, published on August 4. It has since been viewed over 360,000 times. Read More

or checkout her video!

How to Make the Baka Mitai Dame Da Ne Meme (Complete Tutorial with Templates)

#fake, #videos

LaBSE: Language-Agnostic BERT Sentence Embedding by Google AI

How Google AI Pushed the Limits of Multi-lingual Sentence Embeddings to 109 Languages

Multilingual Embedding Models are the ones that map text from multiple languages to a shared vector space (or embedding space). This implies that in this embedding space, related or similar words will lie closer to each other, and unrelated words will be distant (refer to the figure above).

In this article, we will discuss LaBSE: Language-Agnostic BERT Sentence Embedding, recently proposed in Feng et. al. which is the state of the art in Sentence Embedding. Read More

#nlp

A new approach to quantum information processing at room temperatures

Researchers propose novel nanochips from atomically thin materials to make quantum computing possible

In October 2019, Google announced that their quantum processor achieved a computation in 200 seconds, which they claim would take even the most advanced supercomputers today approximately 10,000 years. While IBM has challenged this claim, such drastic changes in computational capabilities are indeed possible due to a fundamentally new technology called quantum computers. Read More

#quantum

How Convolution Neural Networks interpret images

An intuitive guide to key building blocks in a convolution neural network (CNN). The aim is to provide an intuitive understanding of the key layers in a CNN; the idea being to go beyond simply stating the facts and exploring how image manipulation actually works. Read More

#neural-networks