Showing posts with label rngs. Show all posts
Showing posts with label rngs. Show all posts

Thursday, February 6, 2025

Artificial Reality Generator


New quantum random number generator achieves 2 Gbit/s speed
Jun 2024, phys.org

"The new photonic integrated circuit comprises two lasers that emit optical pulses with random phases due to quantum noise. 

PRNGs - pseudo random number generators (I think) refers to numbers produced by algorithm instead of a natural process like radio static, television fuzz, raindrops on a window, etc.

via Toshiba Europe Ltd: Davide G. Marangon et al, A fast and robust quantum random number generator with a self-contained integrated photonic randomness core, Nature Electronics (2024). DOI: 10.1038/s41928-024-01140-0.

Image credit: Beach sand - Zhang Chao Nikon Small World - 2024 [link]


The search for the random numbers that run our lives
Jul 2024, BBC News

I'm mashing up the article here, and at this point I'm really not sure why it matters, if robots can do it (looking at you Apple-rewriting-BBC-headlines) why can't I?

Back in 1997, Haahr and three of his friends had been working on gambling software – digital slot machines and blackjack games that they wanted to host online, and he knew that they would need to be able to generate reliably random numbers. If these things weren't random, the digital casino wouldn't be very fair and players could even try to beat the system by looking for predictable patterns in the games. So they went and got a really crackly radio, a messy signal shaped by lightning and electromagnetic activity in the Earth's atmosphere, converted to ones and zeroes.

Computers aren't random because they rely on internal mechanisms that are at some level predictable. So people try other things, like listening to the racket of electrical storms, capturing pictures of raindrops on glass, and playing with the tiniest particles in the known Universe. 

The radio didn't make them rich, but it's still useful, and was made available to the public at random.org, where it has been churning out random numbers ever since the San Francisco Mayor's Office uses it to draw winners for affordable housing. Or scientists use it to randomise participants in experiments, marketing firms that give away prizes to consumers choose their winners, or employers use it for drug screening to select employees randomly, and one man uses it to choose which discs from his 700-strong CD collection to put into his car each week.

Cloudflare uses a wall of colourful lava lamps. Others use raindrops falling on glass, bubbles in a fish tank, the behaviour of a kitten, sequences in DNA, clicks of radioactive decay of a banana picked up with Geiger counters, wandering mooshroom cows in Minecraft, the movement of a mouse cursor on a computer screen, the time delay between key presses on a keyboard, the noise of traffic on a computer network, tiny particles of light arriving at a detector, photons emitted by a laser pulse.

But nothing is perfectly random, and we can never prove that something is perfectly random either. We can only prove that it's not random. 

But quantum randomness - a company called Quantum Dice is developing its own quantum-random-number-generating technology. But "If a photon hits the sensor, it will ever so slightly warm it up, possibly making it more or less sensitive to future strikes".

Also - When the chips are down, no matter how exquisite a random number generator is in principle, you still have to trust that the person running it hasn't lost their scruples.

Bonus: When random number generators don't do their jobs properly, you can expect that malicious people might try to exploit them. In 2017, Wired reported on the case of a Russian hacker who allegedly got people to film the activity of slot machines at casinos. Based on the results of each play, he was able to predict the workings of the machines' internal random number generators and, therefore, determine when they would next pay out.

Post Script:
Must Read - Addiction by Design: Machine Gambling in Las Vegas, by Natasha Dow Schüll, 2012

Thursday, January 4, 2024

The Free Market vs the Fair Market


Discrepancies at the dispensaries: Study finds THC potency much lower than labeled
Apr 2023, phys.org

Never again 

There's a theme here that you can't trust the commercial sector it's basically the exact opposite of science and the pursuit of knowledge.

Also can we give these guys an award for the best title: Uncomfortably High

Using High-Performance Liquid Chromatography, Mile High Lab techs tested 23 samples (1–2 grams per sample) representing 12 strains purchased from 10 Colorado dispensaries. Strains were chosen to represent a diversity of reported THC % by dry weight from 12.8% to 33.0%.

It was unclear to researchers if the single values printed on packaging were an average of multiple tests or the result of a single test.

The average observed THC potency was 23.1% lower than the lowest label reported values and 35.6% lower than the highest label reported values. Overall, ~70% of the samples were more than 15% lower than the THC potency numbers reported on the label, with three samples having only half of the reported maximum THC potency. 13 of 23 tested samples had observed values that were more than 30% lower than the lowest reported value.

As the legal cannabis market continues to grow, it is essential that the industry moves toward selling products with more accurate labeling or risk losing trust in the industry as a whole.

via University of Northern Colorado and Mile High Labs in Colorado: Anna L. Schwabe et al, Uncomfortably high: Testing reveals inflated THC potency on retail Cannabis labels, PLOS ONE (2023). DOI: 10.1371/journal.pone.0282396



Testing of smartphone apps that identify plants shows most are not very good
Apr 2023, phys.org

Most smartphone apps that identify plants are inaccurate. All of the apps are based on deep-learning technology and have been trained using images posted on the internet.

This, they further note, leads to errors because so many images of plants on the internet are mislabeled. (emphasized for those AI fans out there who forget that humans are and will always be the weakest link; and we are the ones who label.)

  • large differences in accuracy between the apps and variation across species
  • most of the apps did better when asked to identify plants by their flowers than by their leaves
  • none had an accuracy above 90%
  • some scored as low as 4% on some tasks
  • none of the apps are good enough to use as a field guide for people foraging for food in the wild
  • nor are they good enough for use by environmentalists or farmers to determine which plants to protect and which to eradicate
  • they can be used by hobbyists hoping to learn more about their local environment

via University of Galway's School of Natural Science and University of Leeds' School of Geography: Neil Campbell et al, A repeatable scoring system for assessing Smartphone applications ability to identify herbaceous plants, PLOS ONE (2023). DOI: 10.1371/journal.pone.0283386


The Laws of Metaphysics Strikes Again:
Accountants' tricks can help identify cheating scientists, says new study
Apr 2023, phys.org

You cannot escape Benford's Law, or any of the Laws Metaphysical (not until you get yourself a quantum random number generator to clean up your fake data).

The trick behind these tools is that it is actually harder than you might imagine to fabricate essentially random numbers, like the last digit in everyone's bank balances. Financial auditors have known this for a long time and have a variety of tools for looking at lists of numbers and highlighting ones that seem odd (and thus requiring investigation for fraud).

via University of St Andrews: Gregory M. Eckhartt et al, Investigating and preventing scientific misconduct using Benford's Law, Research Integrity and Peer Review (2023). DOI: 10.1186/s41073-022-00126-w

Post Script: 
Retractions of scientific papers neared 5,000 globally in 2022 according to Retraction Watch, amounting to almost 0.1% of published articles:
Retraction Watch - Tracking retractions as a window into the scientific process

Post Post Script:
Part of the problem, he says, stems from publication bias: "There are virtually no incentives for publishing papers that provide confirmation or refutation of previous studies." This emphasis placed on exciting results, which ultimately affects the success of scientists' careers, may be a key factor to consider in future reforms.

Read more at Megadata vs Magadata

Read this like it's the Onion:
Fox News settles Dominion defamation case for $787.5m - In a statement, Fox said Tuesday's settlement in one of the most anticipated defamation trials in recent US history reflected its "commitment to the highest journalistic standards".
Apr 2023, BBC News

Image credit: AI Art - Ghost Scream - 2022

Fewer than half of new drugs add substantial therapeutic value over existing treatments
Jul 2023, phys.org

They used publicly available data to identify 124 first and 335 supplemental indications approved by the U.S. Food and Drug Administration (FDA) and 88 first and 215 supplemental indications approved by the European Medicines Agency (EMA) between January 2011 and December 2020.

Among FDA-approved indications with available ratings, 41% (44 of 107) had high therapeutic value ratings for first, compared with 34% (61 of 179) for supplemental indications. In Europe, 47% (41 of 87) of first and 36% (67 of 184) of supplemental indications had high therapeutic value ratings.

Among FDA approvals, when the sample was restricted to the first three approved indications, second indication approvals were 36% less likely to have a high value rating and third indication approvals were 45% less likely when compared to the first indication approval. Similar findings were observed for Europe.

via Institute of Law, University of Zurich, Harvard Medical School, Yale School of Medicine, Yale School of Public Health: Therapeutic value of first versus supplemental indications of drugs in US and Europe (2011-20): retrospective cohort study, The BMJ (2023). DOI: 10.1136/bmj-2022-074166


Researchers find 89% of sports supplement labels false, ingredients fraudulent and some laced with illegal drugs
Jul 2023, phys.org

  • Sports supplements, not just any supplements
  • Supplement manufacturing (all of it) is not monitored.
  • US Food and Drug Administration (FDA) lists them as a food subcategory, but synthetic drugs being slipped into supplements are not food or botanical ingredients—they are unapproved pharmaceutical drugs (words from the article not mine).
  • The U.S. Department of Justice has previously charged individuals with conspiracy to defraud consumers and the FDA by selling products labeled as dietary supplements that contained unapproved drugs.
  • Finding unlabeled and unapproved drugs in supplements is equivalent to experimenting on humans without their knowledge. Most concerning is the product found to contain four different drug compounds. While none of these drugs are well tested on humans, a cocktail of multiple combined banned substances has never been tested in any scenario.
They analyzed the ingredients in a selection of sports supplements purchased online with liquid chromatography–quadrupole time-of-flight mass spectrometry:
  • 89% inaccurately labeled
  • 12% included unlabeled banned drug substances
  • 57 products contained one of five popular supplements, R vomitoria (n=13), methylliberine (n=21), turkesterone (n=8), halostachine (n=7) and octopamine (n=8).
Vomitoria though?
  • 23 products (40%) did not contain a detectable amount of the labeled ingredient
  • Of the 34 products that contained detectable amounts of the listed ingredient, the actual quantity ranged from 0.02% to 334% of the labeled quantity (***so even when you do list it, it's so far off that it doesn't matter***)
  • 6 products (11%) contained an ingredient quantity within 10% of the label
  • 7 products (12%) were found to contain at least one FDA-prohibited ingredient
  • 5 different FDA-prohibited compounds were found, including four synthetic simulants, 1,4-dimethylamylamine (DMAA), deterenol, octodrine (DMHA), oxilofrine and omberacetam
  • 6 products contained one of these prohibited ingredients, and one contained a combination of four prohibited ingredients: 1,4 Dimethylhexylamine, or 1,4-DMAA, analog of 1,3-DMAA, Deterenol (Betaphrine), Octodrine, Oxilofrine, Omberacetam (seem like mostly stimulants, hypertension, not approved for use in humans)

via Cambridge Health Alliance, Massachusetts; Harvard Medical School, Massachusetts; University of Mississippi; and NSF International, Michigan: Pieter A. Cohen et al, Presence and Quantity of Botanical Ingredients With Purported Performance-Enhancing Properties in Sports Supplements, JAMA Network Open (2023). DOI: 10.1001/jamanetworkopen.2023.23879


Study shows how the meat and dairy sector resists competition from alternative animal products
Aug 2023, phys.org

Researchers compared government spending of major agricultural policies and lobbying trends from 2014 to 2020 that supported either the animal food product system or alternative technologies, and compared government spending on both systems. 

In the U.S., about 800 times more public funding and 190 times more lobbying money goes to animal-source food products than alternatives. In the EU, about 1,200 times more public funding and three times more lobbying money goes to animal-source food products. In both regions, nearly all plant-based meat patents were published by a small number of private companies or individuals, with just one U.S. company, Impossible Foods, owning half of the patents.

But the fake take:

Similarly, a proposed amendment to the U.S. Federal Food, Drug, and Cosmetic Act would prohibit the sale of alternative meats unless the product label included the word "imitation" and other clarifying statements indicating the non-animal origin.

via Stanford Doerr School of Sustainability: Simona Vallone, Public policies and vested interests preserve the animal farming status quo at the expense of animal product analogs, One Earth (2023). DOI: 10.1016/j.oneear.2023.07.013

Wednesday, May 3, 2023

Reality Engines


All procedural generation of artificially intelligent content starts with a random number, which is like the seed from which all the rest grows, and that way each one can be different, and unique. But as our computers become more intelligent, that number isn't random enough. 

The problem is that randomness is not an absolute thing, and it's easily described by the law of large numbers -- Flip a coin 100 times and you have a 50% chance of it landing on heads (or 100% chance of 0.5 heads!), but flip it 1 trillion trillion times and it's no longer 50% but some different number caused by any variations in the system, like the printing on the respective faces of the coin adding extra weight to one side, or the flipping mechanism having its own pattern, or even errors in identifying, where one side is more commonly misidentified as the other -- After trillions of coin flips, other variables sneak in, and they take away the randomness. 

As our technology gets more sensitive and also more complex, it creates more spaces for these variables to sneak into the randomness. 

And we can't be each having non-random reality instantiations. That would be like two people having been given the same bank account number, but for their whole reality, and the multiple realities that we'll be living in all at the same time, soon enough. Imagine if your digital twin got mixed up with someone else's, and your automated medication regimen executed by ingestible programmable drug delivery nanobots changes in accordance with the other person's digital twin, but for your body, and now you're dead. 

That's not something we want to roll the dice with. 


Quantum random number generator sets benchmark for size, performance
Jul 2021, phys.org

via American Institute of Physics: "18.8 Gbps real-time quantum random number generator with a photonic integrated chip," Applied Physics Letters (2021). DOI: 10.1063/5.0056027


Researchers use tiny magnetic swirls to generate true random numbers
Feb 2022, phys.org

Brown University: Kang Wang et al, Single skyrmion true random number generator using local dynamics and interaction between skyrmions, Nature Communications (2022). DOI: 10.1038/s41467-022-28334-4


Using quantum fluctuations to generate random numbers faster
Apr 2023, phys.org

via Ghent University Interuniversity Microelectronics Center, Technical University of Denmark and Politecnico & Università di Bari: Cédric Bruynsteen et al, 100-Gbit/s Integrated Quantum Random Number Generator Based on Vacuum Fluctuations, PRX Quantum (2023). DOI: 10.1103/PRXQuantum.4.010330



Tuesday, April 26, 2022

Electronic Drugs and Addiction by Design


I ran an image search for the word "panopticon", looking for a good thumbnail for this post. This picture looks great, but I have no idea what it is, and it's not sourced. Is it an artificially intelligent big data brain? A neutrino chamber? Does it have anything to do with panopticon design (think Eastern State Penitentiary in Philadelphia)? No.

It's a building, called L’Hemisfèric, in the City of Arts and Sciences in Valencia, Spain, designed by architect Santiago Calatrava circa 2015. The reflection in the water makes it look like one big eye, and it does. So maybe it's partially related here.

Back on track -- Commercials for online gambling end with a disclaimer about where to call if you have a gambling problem.

I always thought it was strange that you could have a commercial for addictive things. If they're already addictive, why do we need to advertise them? Or better yet, if something is addictive, shouldn't we not be allowed to advertise for them? Especially in today's world of targeted advertising; we're literally using the word "targeted". 

In China, they call video games "electronic drugs", and they have new regulations against private companies targeting their citizens with addictive algorithms (governments not so much). 

Ten years ago, this book was written about slot machines, and today it will blow your mind. That is, if you can handle some basic ideas of statistics, probability, and randomness:

  • Machine gambling as an example of flipping the workplace organizational psychology of the 1900's factory back on the "new product" (you) -- the user, and analysing them, the new worker, to get them to "work" longer, better, faster (by getting sucked-in to the machine and controlled by it), for you! (the employer or the owner). (p57, Foucault, Marx)
  • "The gambler not only can't win but isn't playing to win, while the gambling industry is playing to win all along." (p75)
  • Random number generators (RNGs) are at the heart of every slot machine.
  • From hardware to software - Between the actual reel that you see spinning and stopping in front of you, and the automated RNG that actually decides your fate, there is now a virtual reel, which weights the outcome by mapping a pre-planned algorithm ahead of your actual reels, so that it's no longer about the machine, the reels, the lever, the hardware. It's about crafting a perfect probability for both the industry and for the gambler. 
The Virtual Reel Map - Figure 3.2a - Educational illustration of virtual reel mapping for a machine containing 32 virtual stops and 22 actual stops. The first 11 positions on the 32-stop virtual reel are mapped to the 11 symbols on the actual reel, but the rest are mapped to blanks, such that the odds of hitting a winning symbol are less than they appear to be. In addition, via a disproportionate number of virtual stops are mapped to blank spaces just above or below the jackpot symbols. This ensures that they will appear more often above or below the payline than they would by chance alone, enhancing the "near miss" sensation among players. Courtesy of Game Planit, Inc. (p88)

  • Note that in the image above, which represents an actual reel map, positions 1,3,5,7 are "real", whereas 2,4,6 are not; they're blanks. Yet they're doubled by the map loading, so you "almost" get it more often than chance (out of the actual 11 symbols). AKA Phantom Symbols, AKA Loading the Dice (p92)
  • On the new machines (which are designed to hack your nervous system to bits and then feed it back to you as a dopamine drip) - "They love them; They can literally play all day." (p126) -IGT Game Developer
  • "Tracked gamblers are treated less as individual subjects than as "dividuals" in the Deleuzian sense -- bundles of traits and habits (associated with pin numbers, codes, passwords and personal algorithms) that can be systematically compared with those of others, allowing casinos to more precisely identify and market to distinct customer niches (ft 15). Casinos also can triangulate any given gambler's player data with her demographic data, piecing together a profile that can be used to customize game offerings and marketing appeals specifically for her; although she has been broken down into discrete data points in the process of tracking in the moment of marketing she is reassembled as a distinct individual who can be examined form every angle." -The Rise of Player Tracking, Chapter 5 Matching the Market
From the book, Addicted by Design

"I am watching everything. I see it all."
-Executive at Harrah's

This quote feels like it could be the introduction to this book on marketing and advertising:
The Panoptic Sort: A Political Economy of Personal Information
Oscar H. Gandy Jr., 1993

Monday, April 11, 2022

No Man's Game


No Man's Sky is a procedurally generated spacefaring video game. You explore the universe, maybe find a nice place to settle down, build yourself a home, and drift off into the eternal digital bliss of a digital anthroposphere.

What makes this game special is that, like the real universe, the places you can explore are veritably endless. That's because they weren't designed in advance; it doesn't exist until you go there. The universe is generated in real-time, as you play. It's not created by a designer, it's created by an algorithm, using fractals to scale things far in and far out with equal levels of detail. That's how procedural generation works. Until it doesn't.  

One day, the developers of this game decided it needed an upgrade, so they augmented the procedural generation algorithm. They gave the worlds more detailed weather patterns and more complex lifeforms, taller mountains, deeper oceans, more richness, more diversity. But every time you fix something, you risk breaking something else. And that's what happened here. A story as futuristic as intergalactic space travel itself:

Displaced No Man’s Sky fans are now using a galactic Zillow
Sep 25 2020, Polygon

After finally finding a planet that reminded him of Earth with a mellow breeze, he settled in and spent more time building his own personal base. Then, he logged into No Man’s Sky to find that the newest Origins update had changed his planet to be more like a tepid, hell-like wasteland.

“I was one of these people on the hunt to find the perfect Earth like planet, and after spending soooo many hours hunting for it, then spending so many hours building a few big builds on it... it all seems for nothing now.”

Long-time community members have organized a new system to find beautiful homeworlds for a fresh start. Macneill runs a group called No Man Sky’s Habitable Planets. The group was originally intended for nomads who were okay with uprooting for a new home, but Origins made their mission much more urgent for many players.

“Looking for a new planet to call home? This group is dedicating [sic] to exploring the vast universe for the most perfect and habitable planets,” the Reddit page reads. “NO STORMS NO SENTINELS!!” “The goal was to have enough planets in our page so that someone could ideally just search what they want ‘green grass, blue skies’ and a planet with their desired features would come up.” Macneill told Polygon over Reddit.

Another player who is looking for a new home after aggressive fauna swarmed her base with the Origins update, now has a home in a world that looks abandoned. Fortunately, she can now just go on the Habitable Planets project and scroll through a selection of planets.

“It’s a little like Tinder,” Emily laughs. “I’m like, brown water? Ew, no. Mountain ranges? I don’t want to deal with that. Purple planet? Yeah, that’s cute, swipe right!”


Written a couple days earlier, a developer lamenting their consternation over destroying entire worlds worth of human endeavor with a single update:

“People have made their homes, they’ve lived in this universe,” Murray said. “I would be working on things like making mountains taller, and you’d see online that somebody has dedicated a planet to a lost loved one and built a base for them. And I’ve got my head in my hands thinking, ‘I’m going to destroy that planet if we do this.’”

Murray said that “some of the biome diversity,” will change universe-wide, but that “the fundamental shape of the terrain will stay the same on existing planets.”

Funny, as I read this, as a real person in the real world, all I can think about is that it sounds a lot like what's happening right now because of the climate apocalypse - the northeastern portion of the United States is one of the fastest changing climates in the world, with my town in particular having seen 2 different 500-year storms in the last 10 years (Irene and Ida), both dropping over 9 inches of rain in one day, which is almost triple what we see in any given month. Superstorm Sandy knocked down 100-years worth of trees in one day. If I lived in No Man's Sky, I would be looking for a new planet by now.


Post Script:
I finally figured out why the healthy fascination with random number generators (RNGs) here on Network Address; something tells me they're important, and will become a critical part of our world in the coming years, and here is one good example of why.

Randomness has a lot to do with the variety seen in procedurally generated worlds, which goes all the way back to rolling dice for Dungeons and Dragons. The game starts with a "random seed" from which the initial conditions of the algorithm are set in motion.* 

*And when you hear "initial conditions" you should think complexity theory and emergent behavior.

This is great for making totally unexpected and exciting virtual worlds, but it's also foretelling of the epidemic of electronic drugs that is today ensnaring our elderly citizens, armed services veterans, and new mothers via social media. We should have learned our lesson with machine gambling aka slot machines, but we didn't, and so we now have this:

Procedural generation is often used in loot systems of quest-driven games, such as action role-playing games and massive multiplayer online role playing games. Though quests may feature fixed rewards, other loot, such as weapons and armor, may be generated for the player based on the player-character's level, the quest's level, their performance in the quest, and other random factors. This often leads to loot having a rarity quality applied to reflect when the procedural generation system has produced an item with better-than-average attributes. For example, the Borderlands series is based on its procedural generation system which can create over a million unique guns and other equipment.

The randomness is an illusion, because absolutely minute parameters of the algorithm are changed in order to take advantage of the way our brains are hardwired. You can act like you're more powerful than the algorithm, or you can think that because you know how it works, you won't be a sucker. But then you would be wrong. 

A procedurally generated penis bouquet in No Man's Sky.

For Further Reading on Electronic Drugs:
Random Instantiation Generator, Jun 2021
Addiction by Design: Machine Gambling in Las Vegas by Natasha Dow Schüll, 2012. 
Jesse Schell: When games invade real life, DICE Summit, 2010

Monday, April 4, 2022

Future Forecasting


The AI forecaster: Machine learning takes on weather prediction
Jan 2022, phys.org

Standard models are still good for the 2-3 week range, but this new deep learning model is on par with them for the 4-6 week range. If anyone read that scene in Neal Stephenson's Terminal Shock where they were predicting an extreme weather event 3 weeks out with a secret Chinese supercomputer -- this is what he's imagining. 

via American Geophysical Union: Jonathan A. Weyn et al, Sub‐Seasonal Forecasting With a Large Ensemble of Deep‐Learning Weather Prediction Models, Journal of Advances in Modeling Earth Systems (2021). DOI: 10.1029/2021MS002502


Study finds US flood damage risk is underestimated
Feb 2022, phys.org

Interesting example of how probability, statistics, and predictive analytics works -- 

The actual flood damage reports they used to "train" the models were publicly available reports from NOAA made between December 2006 and May of 2020. Compared with recent FEMA maps downloaded in 2020, 84.5% of the damage reports they evaluated were not within the agency's high-risk flood areas. The majority, at 68.3%, were located outside of the high-risk floodplain, while 16.2% were in locations unmapped by FEMA.

When they ran their computer models to determine flood damage risk, they found a high probability of flood damage for more than 1.01 million square miles across the United States, while the mapped area in FEMA's 100-year flood plain is about 221,000 square miles. Researchers said there are factors that could help explain why the differences were so large, including that their machine-learning-based model assessed damage from floods of any frequency, while FEMA only includes flooding that would occur from storms that have a 1% chance of happening in any given year [100 year storms].

-- Now remember, here in New Jersey for example, one of the fastest changing climate regions in the world, we had two 500-year storms in two years, one of them a flooding event, the other wind. I'm pretty sure the floods of September 2021 were a 100- if not 500-year storm. All in 10 years. 

Totally unrelated image credit: Fractal Forums, Christmas Ornament, 2019


Post Script, on Predictive Analytics:
Algorithm can predict possible Alzheimer's with nearly 100 percent accuracy
Sep 2021, phys.org

via Kaunas University of Technology: Modupe Odusami et al, Analysis of Features of Alzheimer's Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network, Diagnostics (2021). DOI: 10.3390/diagnostics11061071