Collaborating Authors


With post-pandemic AI, we've now stepped into the Age of Acceleration


All the sessions from Transform 2021 are available on-demand now. As the IBM Watson experience shows, the path to AI success is fraught with challenges. Yet overall, it has been a very good year for AI and the companies developing it. So much so that Alphabet CEO Sundar Pichai, in a recent podcast recorded by BBC, says: "I view [AI] as a very profound enabling technology. If you think about fire or electricity or the internet, it is like that, but I think even more profound."

Real-World Blind Face Restoration with Generative Facial Prior


Technology and Technological developments in this decade have led to some of the most awe-inspiring discoveries. With rapidly changing technology and systems to support them and provide back-end processing power, the world seems to be becoming a better place to live day by day. Technology has reached such new heights that nothing our ingenious mind today thinks about looks impossible to accomplish. The driving factor of such advancements in this new era of technological and computational superiority seems to be wrapped around two of the most highly debated domains and topics, namely Machine Learning & Artificial Intelligence. The canvas and ideal space that these two domains provide are unfathomable.

Anthony Bourdain documentary recreates chef's voice with artificial intelligence


Photo Illustration by The Daily Beast / Photos GettyWith the likes of influencer Tana Mongeau, YouTuber Daisy Keech, Too Hot to Handle cast member turned TikTok provocateur Harry Jowsey, the Clermont Twins, and dozens of other social media stars and models on its roster, the Unruly Agency seems to be the place that could take an influencer's brand to new heights.But clients and contractors who worked with Unruly and Behave Agency--Unruly's spinoff for smaller influencers--are warning others agains

Google Software Engineering Manager Prep bundle: Get this training package for just $40


Since the five biggest tech companies – Google, Apple, Microsoft, Amazon, and Facebook -- don't really care where their employees learn their skills, there's no reason to take out heavy loans or even time away from your current position to break into a well-paid career in the tech industry. And if you aren't sure exactly which field to pursue, you're in luck. The 2021 Google Software Engineering Manager Prep Bundle offers train-at-your-own pace courses across a wide variety of topics. What is low-code and no-code? Budding web developers can benefit from the "UI Design" and "JavaFX: Build Beautiful User Interfaces" courses.

Machine Learning in Flutter!


Once you have added the files in assets folder and have added required packages in pubspec.yaml, The first step is to load our model in the flutter app. Don't forget to add assets in pubspec.yaml Then, import tflite package and load the model in initState method. Let's create a method to load our model.

Is Artificial Intelligence the Biggest Threat to Humanity? -- Sentient Machines


The creators of these films imagine a world where humans have lost control of the technology they developed and must fight for survival of the human species. It could also be suggested the writers and directors of these films are predicting a world where these things happen. After all, many notable figures in the world of tech such as Bill Gates, Elon Musk, and even Stephen Hawking have all made warnings against the potential consequences of AI. But how accurate is the silver screen's depiction and are the fears of my friend based off of these films warranted? Is AI going rogue, building a robot army and attempting to eradicate humans as likely as finding a dead body on top of a lift or being attacked by a giant shark off the Isle of Wight?

The Difference Between Data Scientists and ML Engineers - ALT 4


Although they certainly work together amicably and enjoy some overlap concerning expertise and experience, the two roles serve quite different purposes. Essentially, we are differentiating between Scientists who seek to understand the science behind their work, and Engineers who seek to build something that can be accessed by others. Both roles are extremely important, and at some companies, are interchangeable -- for example, Data Scientists at certain organizations may carry out the work of a Machine Learning engineer and vice versa. To make the distinction clear, I'll split the differences into 3 categories; 1) Responsibilities 2) Expertise 3) Salary Expectations. Data Scientists follow the Data Science Process, which may also be referred to as Blitzstein & Pfister workflow.

An exploration into Natural Language Processing with the Universal Studios dataset


I have not posted a lot about Natural Language Processing, NLP, because there are not a lot of data science competitions concerning this genre of machine learning. I have, however, discovered that Kaggle, the premier data science website, does have text based datasets in their dataset section of their website.

Five Reasons How AI Will Revolutionize Psychiatry and Fields of Psychology


Psychology has seen a drastic revolution in the present times. Some of the psychology modules have integrated modern technologies to improve precision and accuracy in identifying disorders. Thus, here are the five reasons how AI will revolutionize psychiatry and fields of psychology. Predictive models, behavioral statistics, and improved user experience are all the boosts given by applied sciences to assist psychiatry. There are already some applications of AI in psychiatry, and many doctors believe that data training models in various systems can reduce the responsibilities and work.

Hit the Road With These Travel-Planning Apps and Tricks


Making travel plans is tricky even in the best of times, but the pandemic and its lingering effects have made things even more complicated. Whether you're going halfway around the world or planning a trip much closer to home, your smartphone can be a huge help. You probably already use your phone to get you from A to B as quickly as possible, but Google Maps, Apple Maps, and other apps can do much more than this--they can put together a proper itinerary for your next excursion, storing longer lists of places that you want to tick off on your travels. Planning ahead means that time away from home--whether a vacation, business trip, or anything else--is much better organized and less stressful. You can make sure you visit everywhere you want to visit in the time you have available.