Learning Better and Faster

GPT3 ANSWERS THE QUESTIONS Are Artists Using AI To Change The Concept Of Art? Here's What Art Is Really Like In 2021 Everybody's on social media, and artists are using AI to make the most of it. Artists are using AI technology in creative ways because it reflects the changing nature of the art world. In a whirlwind few years, art has changed from something created for a solitary audience to something shared almost instantaneously with the world. Social media and artificial intelligence have largely influenced this expansion of art from being made to being viewed. From the artist's perspective, the internet enables them to produce work that can connect better with their viewers. For those viewing, social media and artificial intelligence have changed how people think about art and what they find acceptable as an artistic piece.

Python Multiprocessing for 3D Data Processing interview with Emil Bogomolov, author of an article published in MLearning.ai Emil Bogomolov is a passionate deep learning computer vision reasercher and engineer.

With today's information overload, we wish we had a way to read just the summary instead of going through pages and pages of an article The Beginner's Guide to Summarize Articles Using NLP a story by Poonam Yadav MLearning.ai article review #naturallanguageprocessing

How Codex and GTP3 change our lives What Religion can do for AI ? Review of an article by Dariusz Gross #Datasculptor in MLearning.ai In religious books it is mentioned that no one should create or bring into existence something whose power can threaten its creator or master and this “rule” is applied to humanity, however, we have ignored this rule by creating Machine Learning. Dariusz Gross uses #GPT3 and #CODEX, tools from Open AI, In his subsequent articles, he describes the tremendous power of these tools. He describes what has changed in his life since using GTP. In his estimate, GPT3 and CODEX will go down in human history.

"Searching for something similar is a key concept in many information retrieval systems, recommendation engines, synonyms searching, etc. Basically everywhere, where exact search through the database is not an option (as an example, you cannot just save the word and also save the representation its meaning and context)" Review of an article by Roman Kyslyi, PhD

The Future Of Telling Stories How do millennials respond to AI content? #Artificialintelligence (AI) is the future. And now, it can also create content that humans love. Working as a one-woman operation, I can crank out enough content at lightning speed to please my boss and beat my competitors. But more importantly, I'm the voice behind every post on your favorite blogs and companies' social media accounts. My millennial roommate wants me to create content for her blog too - and she'll pay me way more than anyone in this industry has been getting for years! Who needs sleep when you can stay up all night blogging about Beyonce's new album? I know what you're thinking: "But aren't all content creators created by AI? Yes, the machines are getting better at it. But I don't need to bother with finding and screening decent writers. There are plenty of algorithms that can do that."

Why you shouldn't get into the AI industry in 2021 Do you want to get into the AI industry? Review of an article by David Chong David is AI Engineer, Masters in AI, Avid investor. Why you shouldn't join AI You want to get rich. Let's get the elephant out of the room. As the words “Artificial Intelligence” and “Machine Learning” get plastered all over the media with governments, public agencies and even large corporates advocating for and/or incorporating AI into their business one way or another, it's hard not to imagine that the industry is flushed with hot money. Let's be honest — it is.

VR data science, an article by Graham Waters The article by Graham Waters talks about augmented reality data exploration. This is a new form of data visualization that allows for greater insight into the data. It can be done with either AR or VR, which leads to different types of insights depending on the specific software being used. This article covers 3 companies in this new field: BadVR, Virtualitics, and 3Data. All three have innovative ideas and interesting ways for people to experience their data in a new way. While AR and VR are still in their infant stages for data visualization, it is already being explored by companies and is only going to grow more popular as time goes on. This article covered the benefits of this new data visualization method can be for businesses, as well as the different ways in which it can be done. It is a great new way to look at some of the data that we have, and it can help lead to greater insights than just looking at a 2-dimensional computer screen. We recommend the article by Graham Waters in ML earning.ai

Antonio is a data scientist and solution engineer A detail oriented professional with 10 years' experience, with in depth knowledge of data science and business analytics. Proven expert who contributed to various projects. We have a real conceptual change for the approach to health, The addition of new technologies has brought many opportunities. Technology is more widely used to treat diseases and diagnose and treat people. Our lives are digital because we interact with digital objects as often as not, and these are always online. Technology has a significant impact on our health. Thanks to digital health, many diseases can be virtually cured as never before Health apps are on the rise. But only a few of them have been deemed reliable and certified to provide real digital therapies. The new paradigm is to change the perspective from the patient to the individual consuming health. An excellent article that elates readers interested in health We recommend the article by Antonio Castiglione in MLearning.ai

Mirroring to Build Trust in Digital by Augmented Man How To Detect Insider Threats With AI It is becoming more common to develop digital assistants. These assistants are designed to mimic the way that you speak and interact with them. However, many of these assistants aren't as intelligent or talented as they should be.  Apple's Siri and Amazon's Alexa are some of the better-known digital assistants. They don't always respond in the same way. For example, Siri is more verbal whereas Alexa provides more options for interaction. Detecting the preferred AI interaction style is an important first step to addressing these types of issues. It will allow you to tailor your digital assistant interactions to be specific to an individual. This can be done by observing how a person interacts with their virtual assistant. Mirroring to Build Trust in Digital Assistants state of the art in #machinelearning

Alan Turing's nose, new story by Eva Rtology in MLearning.ai Do you have the intuition to recognize what the artists hands are doing and what is the result of the algorithm? A new tool is created to celebrate Alan's achievements for digital art. Alan Turing's nose is a thermometer It can measure the temperature of a work of art It is a software/art that combines both machine learning and digital art The thermometer provides a measure of the algorithmic content of a digital image Using this measure, we can use the thermometer to determine how much of an image was machine-generated and how much was created by the artist

state of the art in #machinelearning we invite you to read the articles at: