The technology sector has always been the disruptor by introducing new and capable advancements in the field. Although, the rapid digital transformation has effectively disrupted technology companies around the globe. They have been revamping operational processes, creating value propositions for the customers, and innovating business models. Tech firms are strongly investing in cutting-edge technologies like AI and RPA to enhance productivity and minimize costs. According to research by Bain & Company, technology companies are 12% more likely to be disrupted than companies in retail and 25% more likely than those in financial services, two other industries that have historically gone through disruptions.

Python tips and tricks to make you a better data science or analytics professional. These Python hacks cover a broad range of topics.

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According to the World Economic Forum (WEF), 133 million new jobs will be created by AI by 2022. Out of the top AI job postings, machine learning has been a trending topic within artificial intelligence. Here is a live list of online machine learning courses from various universities, companies and research labs. There is always a chance that we missed something, though. So please let us know via email ([email protected]) if we left a good course out.

Researchers from Nvidia and Harvard are publishing research this week on a new way they've applied deep learning to epigenomics -- the study of modifications on the genetic material of a cell. Using a neural network originally developed for computer vision, the researchers have developed a deep learning toolkit that can help scientists study rare cell types -- and possibly identify mutations that make people more vulnerable to diseases. The new deep learning toolkit, called AtacWorks, "allows us to study how diseases and genomic variation influence very specific types of cells of the human body," Nvidia researcher Avantika Lal, lead author on the paper, told reporters last week. "And this will enable previously impossible biological discovery, and we hope would also contribute to the discovery of new drug targets." AtacWorks, featured in Nature Communications, works with ATAC-seq -- a popular method for finding the parts of the human genome that are accessible in cells.

Researchers have succeeded in making an AI understand our subjective notions of what makes faces attractive. The device demonstrated this knowledge by its ability to create new portraits that were tailored to be found personally attractive to individuals. The results can be used, for example, in modeling preferences and decision-making as well as potentially identifying unconscious attitudes. Researchers investigated whether a computer would be able to identify the facial features we consider attractive and, based on this, create new images matching our criteria. The researchers used artificial intelligence to interpret brain signals and combined the resulting brain-computer interface with a generative model of artificial faces.

The first races of 2021 have begun with a wealth of new features. On behalf of the AWS Machine Learning Community I'm pleased to present the latest report from the race tracks! AWS DeepRacer is a 1/18th scale autonomous race car but also much more. It is a complete program that has helped thousands of employees in numerous organizations begin their educational journey into machine learning through fun and rivalry. Visit AWS DeepRacer page to learn more about how it can help you and your organization begin and progress the journey towards machine learning.

In this post I'll be talking about my experience so far of exploring AI. One of the main reasons for this newsletter is for me to learn more about the Artificial Intelligence world as a whole. By day I'm a web developer, and the aim is to move more towards AI work and projects. I want to get a better appreciation for what's currently out there, and what might be coming next, in order to build knowledge and understanding, whilst working on related practical skills. The hope is that the newsletter might also serve as a useful overview or gateway for other developers that are wanting to do the same.

The best way to learn python is by creating a project. These are 10 of the best python projects for beginner to intermediate Python programmers. These python projects will not only help you learn the fundamentals, but you'll have a lot of fun creating these. With each of these 10 python projects, there is a full video tutorial that walks you step-by-step from start to finish. These projects have been hand-selected and range from beginner to intermediate.

The Daily Star's FREE newsletter is spectacular! A new smartphone app designed to slash the risk of people misreading rapid Covid test results has been released. The AI-powered tech comes as 57million Covid test packs have been sent to schools ahead of the reopening in England on Monday. French researchers said up to one in five rapid Covid tests produced difficult to read pregnancy test style bands. They hoped their new xRcovid app can help boost the accuracy of the "highly subjective" readings set to take place in schools.