Tom Cruise has gone viral on the popular video-sharing app TikTok, but the clips featuring the'Mission Impossible' star are deepfakes that experts are calling the'most alarmingly lifelike examples' of the technology. An account appeared on the app last week, dubbed'deeptomcruise,' which shows a number of videos depicting Cruise doing a magic trick, playing golf and reminiscing about the time he met the former President of the Soviet Union. The series of clips have been seen more than 11 million times on TikTok as of Tuesday, with many millions more on other social media platforms. Although the clips are for entertainment, experts warn that such content'should worry us'. 'Seeing is no longer believing' rhetoric undermines real video.' An account appeared on the app last week, dubbed'deeptomcruise,' which shows a number of videos that have been viewed more than 11 million times.
Reliving the past might not be possible, but bringing the past to life has been converted to reality by the Deep Nostalgia feature of MyHeritage's genealogy service website. This feature uses AI to let you upload photographs comprising either one or multiple people. The pictures are then animated and converted into a short video clip. The people in the pictures move their heads, blink their eyes and change their expressions minimally, giving the perfect illusion of reality. It looks as though the video was captured while the people were prepping for the portrait.
In this article, we will discuss what I believe is one of the most significant issues facing the future of project management. Let me start by asking 3 questions. If you're a project manager and don't know the answers to those three questions, I suggest you read further because your career might depend on knowing them. So why is the 5th of December 2017 a significant date for those of us who take even a cursory interest in the development of AI and machine learning or what we call ML? The 5th of December 2017 was a pretty special day; on that day, one computer beat another computer at the Top Chess Engine Championship.
The family friendly fun of "Fall Guys" seems like a fitting match with Epic Games' own viral, kid-appropriate game "Fortnite." It also expands Epic's portfolio from its game making software Unreal Engine, its storefront Epic Games Store and other acquisitions including the social media app, House Party. In 2019, Epic acquired Psyonix, the game developer behind the popular car-soccer game "Rocket League."
The creators of the popular online game "Fall Guys: Ultimate Knockout" have a new home. Epic Games, the company behind "Fortnite," announced Tuesday it has acquired Tonic Games Group, part of a larger plan to create a metaverse where players congregate online to socialize, play games or attend events. The game, available on PC and PlayStation platforms and launching soon for Nintendo Switch and Xbox, features rotund characters wobbling around in a series of obstacle courses and challenges. Similar to the "Fortnite" battle royale,"Fall Guys" games typically start with 60 players and end with one final winner. Epic said it will continue investing in the game to make it "a great experience for players across platforms," in a statement released Tuesday. Buying a new TV?:Beware these five myths This purchase, says Epic Games founder and CEO Tim Sweeney, is part of its larger plan to invest in building a metaverse where players get together virtually.
Love her or hate her, you can't deny that Barbie has always been a game changer, and not just because she was the first doll with a waistline. In the mid-1990s, she changed games literally--computer games, that is. Women played a pivotal role in the development of arcade and early console-based video games. In the PC gaming industry, on the other hand, they were outnumbered and outranked by men, who almost always balked at the prospect of games for girls. As time passed, though, more and more research confirmed that girls were playing computer games, such as Myst and The Oregon Trail; they simply lacked games expressly created for them.
With four million games sold on Steam Early Access in three weeks and overwhelmingly positive reviews, Valheim became a commercial and critical darling at an almost unprecedented speed. The viking survival game, developed by a small Swedish team at Iron Gate Studio, might appear to be an overnight success, but CEO Richard Svensson has been directly communicating with the gaming community about this project for years. In September of 2017, Svensson posted a video to his personal YouTube page that captures what seems to be the infancy stages of Valheim and demonstrates Svensson's philosophy of public communication concerning the game's ongoing development. When the game's working title was changed from Fejd (Swedish for "feud") to Valheim in 2018, Svensson noted the switch in the YouTube comments section. Video game studios can often be tight lipped during the development process, but Iron Gate Studio took the opposite approach, directly listened to what their players wanted, and built a vibrant community on Discord.
A deep-learning technique that can learn a so-called "fitness function" from a set of sample solutions to a problem has been devised. This technique was initially trained to solve the Rubik's cube, the popular 3-D combination puzzle invented by Hungarian sculptor Ernő Rubik. The aim was to use machine learning to learn to solve the Rubik's cube. Rubik's cube is a very complex puzzle, but any of the vast numbers of combinations is at most 20 steps from a solution. So the approach here is to try and solve the problem by learning to do each of those steps individually. The technique is based on two main approaches: stepwise learning and the use of a deep neural network.
How late is too late? It's the question every finite relationship asks itself. Maybe tensions are running high. Worse, maybe they've come and gone, ebbed away, leaving something sullen and numb in their wake. Even if a salvage operation is possible, it comes only after you ask yourself that all-important question.
At their core, data scientists have a math and statistics background. Out of this math background, they're creating advanced analytics. Just like their software engineering counterparts, data scientists will have to interact with the business side. This includes understanding the domain enough to make insights. Data scientists are often tasked with analyzing data to help the business, and this requires a level of business acumen. Finally, their results need to be given to the business in an understandable fashion. This requires the ability to verbally and visually communicate complex results and observations in a way that the business can understand and act on them. Thus, it'll be extremely valuable for any aspiring data scientists to learn data mining -- the process where one structures the raw data and formulate or recognize the various patterns in the data through the mathematical and computational algorithms. This helps to generate new information and unlock various insights. Here is a simple list of reasons on why you should study data mining? There is a heavy demand for deep analytical talent at the moment in the tech industry. You can gain a valuable skill if you want to jump into Data Science / Big Data / Predictive Analytics. Given lots of data, you'll be able to discover patterns and models that are valid, useful, unexpected, and understandable. Use some variables to predict unknown or future values of other variables (Predictive). You can activate your knowledge in CS theory, Machine Learning, and Databases. Last but not least, you'll learn a lot about algorithms, computing architectures, data scalability, and automation for handling massive datasets.