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How random numbers are the driving force behind video games, jury selection, and more

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​​GigaCalculator investigated where and how random numbers are used to power processes in everyday life, using a variety of news stories, scientific reports, and other sources.  
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How random numbers are the driving force behind video games, jury selection, and more

Before computers and algorithms were developed to generate random numbers, there were dice. Middle Eastern tombs uncovered cubical dice dating back to the 20th century BC—but it’s believed they’re even older. Other methods of producing a random result included heating turtle shells until they cracked and tossing and dividing yarrow stalks, which provides a similar effect to repeated coin tosses.

The demand for random numbers has only increased since the days of yarrow stalks. In the 1940s, RAND Corporation released the first book of random numbers, “A Million Random Digits with 100,000 Normal Deviates,” with which mathematicians and scientists could flip to a page, point to a line, and have a random number at their fingertips. However, this method became obsolete with the development of computer models and algorithms that could generate random numbers in vast quantities.

As computers become increasingly pervasive in everyday life, numbers and data follow suit. Although we don’t always see the mathematical processes behind our screens, random numbers have become deeply ingrained in many daily functions. Using a variety of news stories, scientific reports, and other sources, ​​GigaCalculator investigated where and how random numbers power processes in everyday life.

Keep reading to see how random numbers impact your life and which uses for them you may not have known about previously.

Person playing video games on computer

Dean Drobot // Shutterstock

Video games

Many video games use random number generators to dictate the outcome of certain actions, adding an element of surprise and unpredictability to the player experience. For example, a random number generator may dictate the kind of special item a player receives when they hit a checkpoint or whether a player has an interaction with a specific character in a game.

Though many popular games use random numbers to guide outcomes, the overuse of randomization can undermine a player’s skill level, especially if the randomization algorithm can be manipulated based on other user inputs. Overall, using random numbers to drive gameplay keeps the experience fresh and unpredictable, but too much randomization can cause a game to feel unfair or undervaluing player skill.

Roulette wheel with poker table in the background

Dzmitry Krus // Shutterstock

Gambling

Like video games, physical gambling machines and online gambling games use randomization to make unpredictable outcomes. The process can be done using a true random number generator, which uses a physical event like noise signals to determine the number, or a pseudo-random number generator, which uses an entirely computer-based algorithm. Both methods produce a similar experience for the user, but pseudo-randomization poses a slight risk of being hacked because the process is executed entirely online.

No matter which type of randomization is used in a particular game, implementing random number generation is meant to provide a fair and exciting experience for the user. Independent auditors help ensure that legal gambling providers use algorithms that create unpredictable and unbiased outcomes so users can play safely.

White balls with numbers used in lottery draw

Skreidzeleu // Shutterstock

Military drafts

Though it doesn’t happen often, the U.S. Selective Service System requires nearly all male U.S. citizens and immigrants ages 18-25 to enroll. The last time the SSS was implemented was between 1964-1973 during the Vietnam War, which drafted more than 1.8 million men.

With so many roles to fill, many eligible people turned to alternative means to avoid the draft. The saying “If you’ve got the dough, you don’t have to go” indicates one of the ways draft evasion could be managed. To make the process fair, the U.S. launched its first draft lottery in 1969, which assigned eligible individuals a number based on their birthday. Lower numbers were then called to service first.

Jury duty summons and badge

Michelle Milano // Shutterstock

Jury selection

The SSS is not the only database the government maintains to randomly select eligible individuals for some kind of service: jury selection is completed similarly. States and counties have a list of people who meet the requirements for jury duty, including age restrictions, resident needs, and other criteria.

When a court case requires a jury, jurors are randomly selected from the database. The specific algorithm may differ by jurisdiction, but the goal is to assemble a random sample of people to help decide the case. Of course, additional measures are in place to ensure the randomly selected jury is fair, and in many cases, one or more jurors will be rejected.

Hand enters passcode on smartphone

Tero Vesalainen // Shutterstock

Encryption

Traditionally, encryption is the process by which a message or other information is translated into a code so that it can be communicated securely. The code is then translated back into the original message using the cipher or key. Despite the increased security this type of encryption can provide, it is by no means foolproof; messages can be deciphered using different algorithms.

Increasingly complicated ciphers are used to increase the security of encryption; however, the advancement of machine learning and other computer algorithms has made even these easier to break. As a result, computer scientists and other encryption experts have been integrating elements of randomness into their ciphers, including using random number generators to change how every individual message is encrypted. This constant random flux of ciphers makes messages much more secure.

Two Businesspeople Calculating Financial Statement

Andrey_Popov // Shutterstock

Forensic accounting

Ever wondered how the IRS decides whose taxes to audit? The answer is forensic accounting: a field of mathematics that focuses on the examination of fraud and other crimes involving money. Forensic accountants can use various statistical methods, including comparisons to randomly generated and historical data sets, to determine the likelihood that financial statements were fabricated or doctored.

One such method is Benford’s Law, a mathematical law that outlines the probability that a natural number starts with any given digit from one through nine. Any number that is not randomly generated—and is not intentionally human-generated to convey information like ZIP codes or telephone numbers—is considered a natural number. Using Benford’s Law, the IRS and others can identify sets of numbers that seem like they wouldn’t naturally occur and therefore need to be investigated in the case of a potential crime.

This story originally appeared on GigaCalculator and was produced and
distributed in partnership with Stacker Studio.

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How businesses can protect themselves from the rising threat of deepfakes

Dive into the world of deepfakes and explore the risks, strategies and insights to fortify your organization’s defences

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In Billy Joel’s latest video for the just-released song Turn the Lights Back On, it features him in several deepfakes, singing the tune as himself, but decades younger. The technology has advanced to the extent that it’s difficult to distinguish between that of a fake 30-year-old Joel, and the real 75-year-old today.

This is where tech is being used for good. But when it’s used with bad intent, it can spell disaster. In mid-February, a report showed a clerk at a Hong Kong multinational who was hoodwinked by a deepfake impersonating senior executives in a video, resulting in a $35 million theft.

Deepfake technology, a form of artificial intelligence (AI), is capable of creating highly realistic fake videos, images, or audio recordings. In just a few years, these digital manipulations have become so sophisticated that they can convincingly depict people saying or doing things that they never actually did. In little time, the tech will become readily available to the layperson, who’ll require few programming skills.

Legislators are taking note

In the US, the Federal Trade Commission proposed a ban on those who impersonate others using deepfakes — the greatest concern being how it can be used to fool consumers. The Feb. 16 ban further noted that an increasing number of complaints have been filed from “impersonation-based fraud.”

A Financial Post article outlined that Ontario’s information and privacy commissioner, Patricia Kosseim, says she feels “a sense of urgency” to act on artificial intelligence as the technology improves. “Malicious actors have found ways to synthetically mimic executive’s voices down to their exact tone and accent, duping employees into thinking their boss is asking them to transfer funds to a perpetrator’s account,” the report said. Ontario’s Trustworthy Artificial Intelligence Framework, for which she consults, aims to set guides on the public sector use of AI.

In a recent Microsoft blog, the company stated their plan is to work with the tech industry and government to foster a safer digital ecosystem and tackle the challenges posed by AI abuse collectively. The company also said it’s already taking preventative steps, such as “ongoing red team analysis, preemptive classifiers, the blocking of abusive prompts, automated testing, and rapid bans of users who abuse the system” as well as using watermarks and metadata.

That prevention will also include enhancing public understanding of the risks associated with deepfakes and how to distinguish between legitimate and manipulated content.

Cybercriminals are also using deepfakes to apply for remote jobs. The scam starts by posting fake job listings to collect information from the candidates, then uses deepfake video technology during remote interviews to steal data or unleash ransomware. More than 16,000 people reported that they were victims of this scam to the FBI in 2020. In the US, this kind of fraud has resulted in a loss of more than $3 billion USD. Where possible, they recommend job interviews should be in person to avoid these threats.

Catching fakes in the workplace

There are detector programs, but they’re not flawless. 

When engineers at the Canadian company Dessa first tested a deepfake detector that was built using Google’s synthetic videos, they found it failed more than 40% of the time. The Seattle Times noted that the problem in question was eventually fixed, and it comes down to the fact that “a detector is only as good as the data used to train it.” But, because the tech is advancing so rapidly, detection will require constant reinvention.

There are other detection services, often tracing blood flow in the face, or errant eye movements, but these might lose steam once the hackers figure out what sends up red flags.

“As deepfake technology becomes more widespread and accessible, it will become increasingly difficult to trust the authenticity of digital content,” noted Javed Khan, owner of Ontario-based marketing firm EMpression. He said a focus of the business is to monitor upcoming trends in tech and share the ideas in a simple way to entrepreneurs and small business owners.

To preempt deepfake problems in the workplace, he recommended regular training sessions for employees. A good starting point, he said, would be to test them on MIT’s eight ways the layperson can try to discern a deepfake on their own, ranging from unusual blinking, smooth skin, and lighting.

Businesses should proactively communicate through newsletters, social media posts, industry forums, and workshops, about the risks associated with deepfake manipulation, he told DX Journal, to “stay updated on emerging threats and best practices.”

To keep ahead of any possible attacks, he said companies should establish protocols for “responding swiftly” to potential deepfake attacks, including issuing public statements or corrective actions.

How can a deepfake attack impact business?

The potential to malign a company’s reputation with a single deepfake should not be underestimated.

“Deepfakes could be racist. It could be sexist. It doesn’t matter — by the time it gets known that it’s fake, the damage could be already done. And this is the problem,” said Alan Smithson, co-founder of Mississauga-based MetaVRse and investor at Your Director AI.

“Building a brand is hard, and then it can be destroyed in a second,” Smithson told DX Journal. “The technology is getting so good, so cheap, so fast, that the power of this is in everybody’s hands now.”

One of the possible solutions is for businesses to have a code word when communicating over video as a way to determine who’s real and who’s not. But Smithson cautioned that the word shouldn’t be shared around cell phones or computers because “we don’t know what devices are listening to us.”

He said governments and companies will need to employ blockchain or watermarks to identify fraudulent messages. “Otherwise, this is gonna get crazy,” he added, noting that Sora — the new AI text to video program — is “mind-blowingly good” and in another two years could be “indistinguishable from anything we create as humans.”

“Maybe the governments will step in and punish them harshly enough that it will just be so unreasonable to use these technologies for bad,” he continued. And yet, he lamented that many foreign actors in enemy countries would not be deterred by one country’s law. It’s one downside he said will always be a sticking point.

It would appear that for now, two defence mechanisms are the saving grace to the growing threat posed by deepfakes: legal and regulatory responses, and continuous vigilance and adaptation to mitigate risks. The question remains, however, whether safety will keep up with the speed of innovation.

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Small banks emerge as the top source for small business financing

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Findbusinesses4sale used the Fed's Small Business Credit Survey data to compare approval rates among small business financing options.
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When it comes to borrowing money, small businesses are most likely to apply at large banks. But they often find success with their counterparts in the finance world: small banks.

Small banks—or those with less than $10 billion in total assets—comprise most of the banks in the U.S., much like small businesses account for nearly all U.S. businesses. More than 80% of small businesses that applied for financing at small banks were at least partially approved in 2022, according to data from the Fed’s most recent survey of small business employers. However, only 30% of small businesses applied at small banks when they sought financing.

About 2 in 5 small business employers applied for some traditional financing in 2022. Most needed the money to meet operating expenses, while a little over half sought cash to expand their operations.

Findbusinesses4sale used the Fed’s Small Business Credit Survey data to compare approval rates among small business financing sources, taking a closer look at their differences. Approval rates are based on applications for loans, credit, and cash advances at the various institution types. The Fed report was released in March 2023 based on a 2022 survey of nearly 8,000 small businesses with employees.


A bar chart shows the share of small business applicants at least partially approved for loan requests, separated by the type of source applied to.

Findbusinesses4sale

Small banks surpass online lenders, finance companies in approval rates for small business applicants

Also known as community banks, small banks are well-equipped to lend to small businesses because of their intimate knowledge of local economies. Small businesses are often young, with short histories, small operations, little collateral, and unproven financial success. These factors can make it difficult for founders to qualify for credit and loans—they’re simply a riskier investment for a funder to take on.

Small banks’ decision-makers live within the same areas where they grant loans, and they have insight into how certain businesses could fare within their neighborhoods. That makes it easier for them to analyze the risk of lending to small businesses and, in turn, decide whether to approve their applications. At least 3 in 5 (61%) applicants considered to be a medium or high credit risk were approved for financing at small banks; at large banks, not even half (45%) of these riskier applicants were approved.

By operating across smaller locales, community bank operators also have the opportunity to forge stronger relationships with business founders. The Fed survey shows that about 2 in 3 small businesses that applied for financing with these banks did so because of an existing relationship. Many of these relationships were forged in the heat of the COVID-19 pandemic, when community banks came through for small businesses with relief funds, including more intensive support in understanding and completing complex applications.

Small firms applying to other sources, such as online lenders and finance companies, are most often motivated by making quick decisions and perceiving that they have a higher chance of being approved. That was the case five years ago, but approval rates for both sources lagged behind small banks in 2022. Indeed, approval rates at both have fallen significantly since 2019, while approvals at small banks have grown.

Both online lenders and finance companies still approve slightly higher shares of applicants with medium to high credit risks compared to small banks, but only by a few percentage points. At the same time, many more borrowers reported dissatisfaction and challenges working with these lenders, including high interest rates and unfavorable repayment terms.

On the other hand, the vast majority of borrowers from small banks were happy with their experience—much more than those who borrowed from any other type of lender.

Story editing by Ashleigh Graf. Copy editing by Paris Close. Photo selection by Ania Antecka.

This story originally appeared on Findbusinesses4sale and was produced and
distributed in partnership with Stacker Studio.

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The new reality of how VR can change how we work

It’s not just for gaming — from saving lives to training remote staff, here’s how virtual reality is changing the game for businesses

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Until a few weeks ago, you might have thought that “virtual reality” and its cousin “augmented reality” were fads that had come and gone. At the peak of the last frenzy around the technology, the company formerly known as Facebook changed its name to Meta in 2021, as a sign of how determined founder Mark Zuckerberg was to create a VR “metaverse,” complete with cartoon avatars (who for some reason had no legs — they’ve got legs now, but there are some restrictions on how they work).

Meta has since spent more than $36 billion on metaverse research and development, but so far has relatively little to show for it. Meta has sold about 20 million of its Quest VR headsets so far, but according to some reports, not many people are spending a lot of time in the metaverse. And a lack of legs for your avatar probably isn’t the main reason. No doubt many were wondering: What are we supposed to be doing in here?

The evolution of virtual reality

Things changed fairly dramatically in June, however, when Apple demoed its Vision Pro headset, and then in early February when they were finally available for sale. At $3,499 US, the device is definitely not for the average consumer, but using it has changed the way some think about virtual reality, or the “metaverse,” or whatever we choose to call it.

Some of the enhancements that Apple has come up with for the VR headset experience have convinced Vision Pro true believers that we are either at or close to the same kind of inflection point that we saw after the release of the original iPhone in 2007.Others, however, aren’t so sure we are there yet.

The metaverse sounds like a place where you bump into giant dinosaur avatars or play virtual tennis, but ‘spatial computing’ puts the focus on using a VR headset to enhance what users already do on their computers. Some users generate multiple virtual screens that hang in the air in front of them, allowing them to walk around their homes or offices and always have their virtual desktop in front of them.

VR fans are excited about the prospect of watching a movie on what looks like a 100-foot-wide TV screen hanging in the air in front of them, or playing a video game. But what about work-related uses of a headset like the Vision Pro? 

Innovating health care with VR technology

One of the most obvious applications is in medicine, where doctors are already using remote viewing software to perform checkups or even operations. At Cambridge University, game designers and cancer researchers have teamed up to make it easier to see cancer cells and distinguish between different kinds.

Heads-up displays and other similar kinds of technology are already in use in aerospace engineering and other fields, because they allow workers to see a wiring diagram or schematic while working to repair it. VR headsets could make such tasks even easier, by making those diagrams or schematics even larger, and superimposing them on the real thing. The same kind of process could work for digital scans of a patient during an operation.

Using virtual reality, patients and doctors could also do remote consultations more easily, allowing patients to describe visually what is happening with them, and giving health professionals the ability to offer tips and direct recommendations in a visual way. 

This would not only help with providing care to people who live in remote areas, but could also help when there is a language barrier between doctor and patient. 

Impacting industry worldwide

One technology consulting firm writes that using a Vision Pro or other VR headset to streamline assembly and quality control in maintenance tasks. Overlaying diagrams, 3D models, and other digital information onto an object in real time could enable “more efficient and error-free assembly processes,” by providing visual cues, step-by-step guidance, and real-time feedback. 

In addition to these kinds of uses, virtual reality could also be used for remote onboarding for new staff in a variety of different roles, by allowing them to move around and practice training tasks in a virtual environment.

Some technology watchers believe that the retail industry could be transformed by virtual reality as well. Millions of consumers have become used to buying online, but some categories such as clothing and furniture have lagged, in part because it is difficult to tell what a piece of clothing might look like once you are wearing it, or what that chair will look like in your home. But VR promises the kind of immersive experience where that becomes possible.

While many consumers may see this technology only as an avenue for gaming and entertainment, it’s already being leveraged by businesses in manufacturing, health care and workforce development. Even in 2020, 91 per cent of businesses surveyed by TechRepublic either used or planned to adopt VR or AR technology — and as these technological advances continue, adoption is likely to keep ramping up.

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