Check out: When China Sees All, Chinese AI Is Creating an Axis of Autocracy, by Ross Andersen (The Atlantic, Sept 2020 print edition) And…
Added by Robert R. Tucci on July 31, 2020 at 1:06pm — No Comments
This one picture shows what areas of calculus and linear algebra are most useful for data scientists.
If you read any article worth its salt on the topic Math Needed for Data Science, you'll see calculus mentioned. Calculus (and it's closely related counterpart, linear algebra) has some very narrow (but very useful) applications to data science. If you have a decent algebra background (which I'm assuming you do, if you're a data scientist!) then you can learn…Continue
Visualization has become a key application of data science in the telecommunications industry.
Specifically, telecommunication analysis is highly dependent on the use of geospatial data. This is because telecommunication networks in themselves are geographically dispersed, and analysis of such dispersions can yield valuable insights regarding network…Continue
Added by Vincent Granville on July 30, 2020 at 11:57am — No Comments
Here is our selection of new featured articles and technical contributions posted since Monday:
Added by Vincent Granville on July 30, 2020 at 11:30am — No Comments
Researchers use generative adversarial networks (GANs) and other machine learning techniques to manipulate audio and visual scenes that may result in deepfake videos. In principle, with sufficient training data, AI voice synthesis can generate voice skins for anybody. It’s crucial that you do not embrace the perspective that deception is the main point of voice-modeling technologies. It isn’t, and we’ve discussed…Continue
Added by Andra Postolache on July 30, 2020 at 5:00am — No Comments
I had this conversation some time ago with an Engineer who came from a traditional background.
By that I mean, he had been in the same industry (heavy engineering) for 30 years.
Of these, he had been in the same company for 25 years (and this was his second job).
After understanding from me about data science, he said that as an engineer, he did…Continue
Added by ajit jaokar on July 30, 2020 at 3:00am — No Comments
Milvus is an open-source vector similarity search engine powered by approximate nearest neighbor search (ANNS) algorithms such as Faiss, NMSLIB, and Annoy.
To make a vector search more intuitive and easy to use, we introduced TableFile and metadata in Milvus.
In this article, we will mainly describe how vector data are recorded in the memory of Milvus, and how these records are maintained.
Below are our main design goals:
Added by Kate Shao on July 29, 2020 at 10:32pm — No Comments
If you were to invest in real estate, what would be the most important factor you’d take into account? Would it be the age of the building, its location, or maybe how many owners it previously had?
While all of the above will certainly be important to you (though to varying extents), there’s one universal factor that will either be a deal-breaker or make you want to go all in.
You’ve guessed it — the price.
We all have a rough overview of…Continue
Added by Mario Inter on July 29, 2020 at 1:42am — No Comments
Mobile app development is a popular service offering today – thanks to the immense popularity of a mobile phone in people’s lives. And it would be disastrous for companies not to leverage this opportunity if they still haven’t addressed it. So, to make use of this ever-growing avenue more and more, organizations all over the world are rushing to embrace this trend. However, they also understand that merely developing a mobile app is not nearly enough, i.e., if they genuinely want an edge…Continue
Added by Ryan Williamson on July 28, 2020 at 9:22pm — No Comments
eCommerce is an integral part of retail for human existence today – thanks to technology. It has played a critical role in e-commerce’s journey thus far and will continue to do so for the foreseeable future. And in the more recent context, there’s one in particular that has proven to be of special interest in the world of e-commerce: Internet of Things. It is because of the peculiar ability of IoT enabled devices to exchange and share data with other devices in the…Continue
Added by Ryan Williamson on July 28, 2020 at 9:14pm — No Comments
Summary: An update and observations about China’s plan to become the world leader in AI.
Whether you get your news from Facebook or from the Wall Street Journal you can’t help having heard that China is out to displace the US as the world leader in AI. Variously you may have heard that…Continue
Added by William Vorhies on July 28, 2020 at 8:32am — No Comments
At this point, everyone knows that artificial intelligence is all around us, even though we may not realize it. Take your mobile phones, for example — a smart assistant? Yeah, that is powered by artificial intelligence. But this is a rather simple example of the many ways in which AI can be applied in the world. To understand it better, think about online examinations for a moment; while proctoring during in-person exams is quite a simple process, how does one go about it with online…Continue
Added by Ryan Williamson on July 28, 2020 at 12:18am — No Comments
Dropout means to drop out units which are covered up and noticeable in a neural network. Dropout is a staggeringly in vogue method to overcome overfitting in neural networks.
Deep Learning framework is now getting further and more profound. With these bigger networks, we can accomplish better prediction exactness. However, this was not the case a few years ago. Deep…Continue
Added by saurav singla on July 28, 2020 at 12:12am — No Comments
Added by Vincent Granville on July 26, 2020 at 5:00pm — No Comments
This article was written by Thimira Amaratunga.
Deep Learning has been around for about a decade now. Since its inception, Deep Learning has taken the world by storm due to its success (See my article “What is Deep Learning?” on how Deep Learning evolved through Artificial Intelligence, and Machine…Continue
Added by Andrea Manero-Bastin on July 26, 2020 at 8:00am — No Comments
P-values and critical values are so similar that they are often confused. They both do the same thing: enable you to support or reject the null hypothesis in a test. But they differ in how you get to make that decision. In other words, they are two different approaches to the same result. This picture sums up the p value vs critical value approaches.…Continue
Added by Stephanie Glen on July 26, 2020 at 7:42am — No Comments
Table of contents:
Added by Andrea Manero-Bastin on July 26, 2020 at 7:30am — No Comments
IBM Research, with the help of the University of Texas Austin and the University of Maryland, has tried to expedite the performance of neural networks by creating technology, called BlockDrop. Behind the design of this technology lies the objective and promise of speeding up convolutional neural network operations without…Continue
Added by Sharmistha Chatterjee on July 26, 2020 at 7:30am — No Comments
Use of SecureSVM, Boosting, Bagging, Clustering, LSTM, CNN, GAN in Retail with BlockChain
This blog highlights different ML algorithms used in blockchain transactions with a special emphasis on bitcoins in retail payments. This blog is structured as follows:
Added by Sharmistha Chatterjee on July 26, 2020 at 7:22am — No Comments
Added by Sharmistha Chatterjee on July 26, 2020 at 7:14am — No Comments