AI and algorithms are TikTok’s secret sauce, and Beijing knows it.
Imagine a bidder wanting to buy KFC, but being told the deal might not include the Colonel’s 11 secret herbs and spices. That’s effectively what Beijing has told the list of U.S. companies keen to purchase short-video app TikTok: The key ingredients may be out of reach.
At first it looked like the Trump administration had it all figured out.
… Then Beijing stepped in. Read More
Monthly Archives: August 2020
How special relativity can help AI predict the future
An approach inspired by Einstein’s light cones lets AIs make better guesses about what will happen next. It could help predict the effects of drugs.
Nobody knows what will happen in the future, but some guesses are a lot better than others. A kicked football will not reverse in midair and return to the kicker’s foot. A half-eaten cheeseburger will not become whole again. A broken arm will not heal overnight
By drawing on a fundamental description of cause and effect found in Einstein’s theory of special relativity, researchers from Imperial College London have come up with a way to help AIs make better guesses too. Read More
Top 10 Reinforcement Learning Courses & Certifications in 2020
Reinforcement Learning is one of the most in demand research topics whose popularity is only growing day by day. Reinforcement learning (RL) translates to learning by interacting from the surrounding environment. An RL expert learns from experience, rather than being explicitly taught, which is essentially trial and error learning. To understand RL, Analytics Insight compiles the Top 10 Reinforcement Learning Courses and Certifications in 2020. Read More
Deep Reinforcement Learning for Automated Stock Trading
Using reinforcement learning to trade multiple stocks through Python and OpenAI Gym | Presented at ICAIF 2020
Our code is available on Github.
One can hardly overestimate the crucial role stock trading strategies play in investment.
Profitable automated stock trading strategy is vital to investment companies and hedge funds. It is applied to optimize capital allocation and maximize investment performance, such as expected return. Return maximization can be based on the estimates of potential return and risk. However, it is challenging to design a profitable strategy in a complex and dynamic stock market. Read More
How to build an image automatic rotator in 24 hours
The simplicity of Neural Network and Keras’ tools.
Recently, I was challenged to do this task which basically asked to use neural networks to predict the image orientation (upright, upside down, left or right) and with that prediction rotate the image to the correct position (upright), all of this in 24 hours! Read More
Google researchers investigate how transfer learning works
Transfer learning’s ability to store knowledge gained while solving a problem and apply it to a related problem has attracted considerable attention. But despite recent breakthroughs, no one fully understands what enables a successful transfer and which parts of algorithms are responsible for it.
That’s why Google researchers sought to develop analysis techniques tailored to explainability challenges in transfer learning. In a new paper, they say their contributions help clear up a few of the mysteries around why machine learning models transfer successfully — or fail to. Read More
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!
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
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
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
Rick's Cafe AI 