Connect with us

Tech News

What is “Among Us”? The meme sensation two years in the making

(TECH NEWS) When a game has invaded even the most focused of social media feeds, we have to figure out what it’s all about. Enter Among Us.

Published

on

Among Us game cover, the latest game meme sensation.

If you’ve been seeing bean-shaped characters pop up in memes, on Twitch, or even on Facebook saying words like “Impostor” or “Red is sus”, you’re not alone.

Among Us, an online multiplayer social deduction game has taken the online world by storm as of late. Originally released back in 2018, the game gained a massive surge in popularity during the COVID-19 lockdown. According to Sensor Tower’s data, the game passed 100 million downloads on the IOS App Store and Google Play in Q3 of 2020 alone. While the game is free to play on mobile, users can also play on PC for a small fee of $4.99. As it stands, Among Us is currently the third-most played game on Steam, with a solid chance it breaks into the top spot in the next few months.

Haven’t played the game? Well, let’s cover the basics so you understand the endless number of memes coming your way.

The game is played with 4 to 10 people, all of whom are placed together on a single map. Depending on the game settings, 1 to 3 of these people will be randomly assigned as Impostors, whose goal is to kill a certain number of non-Impostors without getting voted off of the map. The rest of the users will be designated as Crewmates, who can win the game by either completing a set number of assigned tasks in the form of minigames or by voting the Impostors off of the map. Impostors gain the advantage of being able to use portions of the map (like vents) that Crewmates cannot, as well as being assigned fake tasks so it can appear that they are a Crewmate. Impostors can also sabotage areas of the map that will require Crewmates to complete an additional task within an allotted time, with failure to do so resulting in an Impostor team win.

Impostors will be able to move across the map and kill other players they are next too, turning those players into Ghosts who will still need to complete their tasks for the Crewmates to win. When a player finds a dead body, they can report it, which essentially allows for a time-based discussion and the option to vote for someone to be kicked off of the map. Each player can also use one “emergency meeting”, which can call for a discussion and vote at any time. Since players are allotted a cone of vision that allows them to only see other players within a certain distance, the game relies a lot on convincing other users you are not an Imposter.

Among Us was inspired by the party game Mafia, proving that a few adjustments to a classic concept can pay dividends. Due to the mostly chat-based dialogue, memes have popped up of Crewmates accusing people of being suspicious by saying they are “sus” based on their actions. There has also been a rise in memes highlighting a group of people saying someone must be an Impostor and voting them off, only to view the “X was not the Impostor” dialogue from the game.

Hopefully, this helps you understand some of the bean shape images you’ve been seeing recently. With the game rising rapidly on streaming platforms over the summer, it’s unlikely the wave of memes and references to the game will end anytime soon. If you still don’t understand it, then I recommend you take the plunge and play the game—after all, it’s free on mobile.

Patrick Auger is a management consultant and entrepreneur who resides in Austin, Texas. He has a Bachelor of Arts in Business Management from Western Illinois University, and is the Founder and Principal Consultant at Auger Consulting Group, LLC. When he's not writing for The American Genius, he's writing about the business of Mixed Martial Arts for The Body Lock or learning how to cook, one burnt recipe at a time.

Tech News

4 ways startups prove their investment in upcoming technology trends

(TECH NEWS) Want to see into the future? Just take a look at what technology the tech field is exploring and investing in today — that’s the stuff that will make up the world of tomorrow.

Published

on

Woman testing VR technology

Big companies scout like for small ones that have proven ideas and prototypes, rather than take the initial risk on themselves. So startups have to stay ahead of technology by their very nature, in order to be stand-out candidates when selling their ideas to investors.

Innovation Leader, in partnership with KPMG LLP, recently conducted a study that sheds light onto the bleeding edge of tech: The technologies that the biggest companies are most interested in building right now.

The study asked its respondents to group 16 technologies into four categorical buckets, which Innovation Leader CEO Scott Kirsner refers to as “commitment level.”

The highest commitment level, “in-market or accelerating investment,” basically means that technology is already mainstream. For optimum tech-clairvoyance, keep your eyes on the technologies which land in the middle of the ranking.

“Investing or piloting” represents the second-highest commitment level – that means they have offerings that are approaching market-readiness.

The standout in this category is Advanced Analytics. That’s a pretty vague title, but it generally refers to the automated interpretation and prediction on data sets, and has overlap with Machine learning.

Wearables, on the other hand, are self explanatory. From smart watches to location trackers for children, these devices often pick up on input from the body, such heart rate.

The “Internet of Things” is finding new and improved ways to embed sensor and network capabilities into objects within the home, the workplace, and the world at large. (Hopefully that doesn’t mean anyone’s out there trying to reinvent Juicero, though.)

Collaboration tools and cloud computing also land on this list. That’s no shock, given the continuous pandemic.

The next tier is “learning and exploring”— that represents lower commitment, but a high level of curiosity. These technologies will take a longer time to become common, but only because they have an abundance of unexplored potential.

Blockchain was the highest ranked under this category. Not surprising, considering it’s the OG of making people go “wait, what?”

Augmented & virtual reality has been hyped up particularly hard recently and is in high demand (again, due to the pandemic forcing us to seek new ways to interact without human contact.)

And notably, AI & machine learning appears on rankings for both second and third commitment levels, indicating it’s possibly in transition between these categories.

The lowest level is “not exploring or investing,” which represents little to no interest.

Quantum computing is the standout selection for this category of technology. But there’s reason to believe that it, too, is just waiting for the right breakthroughs to happen.

Continue Reading

Tech News

Internet of Things and deep learning: How your devices are getting smarter

(TECH NEWS) The latest neural network from Massachusetts Institute of Technology shows a great bound forward for deep learning and the “Internet of Things.”

Published

on

Woman using smart phone to control other devices in home, connected to deep learning networks

The deep learning that modifies your social media and gives you Google search results is coming to your thermostat.

Researchers at the Massachusetts Institute of Technology (MIT) have developed a deep learning system of neural networks that can be used in the “Internet of Things” (IoT). Named MCUNet, the system designs small neural networks that allow for previously unseen speed and accuracy for deep learning on IoT devices. Benefits of the system include energy savings and improved data security for devices.

Created in the early 1980s, the IoT is essentially a large group of everyday household objects that have become increasingly connected through the internet. They include smart fridges, wearable heart monitors, thermostats, and other “smart” devices. These gadgets run on microcontrollers, or computer chips with no processing system, that have very little processing power and memory. This has traditionally made it hard for deep learning to occur on IoT devices.

“How do we deploy neural nets directly on these tiny devices? It’s a new research area that’s getting very hot,” said Song Han, Assistant Professor of Computer Science at MIT who is a part of the project, “Companies like Google and ARM are all working in this direction.”

In order to achieve deep learning for IoT connected machines, Han’s group designed two specific components. The first is TinyEngine, an inference engine that directs resource management similar to an operating system would. The other is Tiny NAS, a neural architecture search algorithm. For those not well-versed in such technical terms, think of these things like a mini Windows 10 and machine learning for that smart fridge you own.

The results of these new components are promising. According to Han, MCUNet could become the new industry standard, stating that “It has huge potential.” He envisions the system has one that could help smartwatches not just monitor heartbeat and blood pressure but help analyze and explain to users what that means. It could also lead to making IoT devices far more secure than they are currently.

“A key advantage is preserving privacy,” says Han. “You don’t need to transmit the data to the cloud.”

It will still be a while until we see smart devices with deep learning capabilities, but it is all but inevitable at this point—the future we’ve all heard about is definitely on the horizon.

Continue Reading

Tech News

Google is giving back some privacy control? (You read that right)

(TECH NEWS) In a bizarre twist, Google is giving you the option to opt out of data collection – for real this time.

Published

on

Open laptop on desk, open to map privacy options

It’s strange to hear “Google” and “privacy” in the same sentence without “concerns” following along, yet here we are. In a twist that’s definitely not related to various controversies involving the tech company, Google is giving back some control over data sharing—even if it isn’t much.

Starting soon, you will be able to opt out of Google’s data-reliant “smart” features (Smart Compose and Smart Reply) across the G-Suite of pertinent products: Gmail, Chat, and Meet. Opting out would, in this case, prevent Google from using your data to formulate responses based on your previous activity; it would also turn off the “smart” features.

One might observe that users have had the option to turn off “smart” features before, but doing so didn’t disable Google’s data collection—just the features themselves. For Google to include the option to opt out of data collection completely is relatively unprecedented—and perhaps exactly what people have been clamoring for on the heels of recent lawsuits against the tech giant.

In addition to being able to close off “smart” features, Google will also allow you to opt out of data collection for things like the Google Assistant, Google Maps, and other Google-related services that lean into your Gmail Inbox, Meet, and Chat activity. Since Google knowing what your favorite restaurant is or when to recommend tickets to you can be unnerving, this is a welcome change of pace.

Keep in mind that opting out of data collection for “smart” features will automatically disable other “smart” options from Google, including those Assistant reminders and customized Maps. At the time of this writing, Google has made it clear that you can’t opt out of one and keep the other—while you can go back and toggle on data collection again, you won’t be able to use these features without Google analyzing your Meet, Chat, and Gmail contents and behavior.

It will be interesting to see what the short-term ramifications of this decision are. If Google stops collecting data for a small period of time at your request and then you turn back on the “smart” features that use said data, will the predictive text and suggestions suffer? Only time will tell. For now, keep an eye out for this updated privacy option—it should be rolling out in the next few weeks.

Continue Reading
Advertisement

Our Great Partners

The
American Genius
news neatly in your inbox

Subscribe to our mailing list for news sent straight to your email inbox.

Emerging Stories

Get The American Genius
neatly in your inbox

Subscribe to get business and tech updates, breaking stories, and more!