Fun on a Friday Night

Make a start.  Make a start.  Well, I’ve caught up with my chores.  All the distractions and alarums and excursions have kept me from writing.  Well, what can you do?  Life is like that.

But what to write about?  I’m looking for something upbeat.  I don’t want to talk about the crime epidemic or the 2024 race or even transgender pushback.  I’ve expended enough venom on those to last me awhile.  I’d rather think about something fun.

So, how about asteroid mining?

Until recently talk of this was restricted to science fiction fans.  Heinlein had asteroid miners in his juvenile novel “The Rolling Stones” and it was a staple of many writers in the last century.  But now it’s going from fiction to fact as NASA is talking about sending a mission to an asteroid that is believed to be composed almost entirely of metal.  There’s a mission to send an unmanned mission to reach Psyche 16 in 2026.

Psyche 16 is a small world with a diameter of 140 miles.  Its mass has been estimated at 2.29 ×1019 kg.  That’s about 0.0004% of the Earth’s mass.  But that’s an enormous mass.

Now visiting Psyche 16 is a far cry from actually mining gold and platinum from this worldlet and getting it to Earth where it has value.  But it’s a start.  The actual mechanism for recovering the metals that make up Psyche 16 is an interesting problem.  Depending on how fast it is going relative to Earth, changing its orbit has the potential to be a human existence-ending event for planet Earth.  Remember, the dinosaurs allegedly bit the dust because a fair-sized asteroid crashed into Earth sixty some odd million years ago.  So, diverting large asteroids should be something done with the utmost of careful planning and the least amount of change to our space environment.

The two choices I come up with are moving it into a stable orbit close to Earth or crashing it into the Moon.  Overall, I favor the Moon idea.  Maybe I’ve been influenced by Heinlein’s story, “The Moon is a Harsh Mistress.”  In that tale the Moon colonists uses a rail gun to boost payloads to escape the Moon’s gravity and splash down in the oceans of Earth.  I’m sure that much more careful thought would need to be done to ensure that this kind of logistical method is possible but I’m guessing from a risk perspective where an extinction event is one of the risks it would probably be preferred to leaving that big rock moving close to Earth.

In the article someone did a back of the envelope calculation and came up with $10,000 quadrillion as the value of the metals in Psyche 16.  Of course, why it would be expressed that way instead of as $10 quintillion is unclear to me.  But they bring up the point that this would wreck the Earth’s economy by destabilizing the value of gold and other metals.  Well, this seems like a silly statement.  Extracting even something as valuable as platinum from the Moon and bringing it back to Earth will not be economical unless the price of that metal increases by orders of magnitude.

Digging gold and platinum out of the Earth is the economical choice and will be for the foreseeable future.  But if someday there is a need for metals that can no longer be found on Earth, then maybe asteroid mining might become a thing,

So, wasn’t that more fun than talking about trannies again?  Feel free to comment on my moon crash option.  I assure you I haven’t thought through this option much at all so we can dissect it as an occasion for fun.  Have at it.

Guest Contributor – ArthurinCali – 14APR2023 – Scientific Dark Ages

AI medical imaging potential should not be stifled.

 

Nothing in life is to be feared, it is only to be understood. Now is the time to understand more, so that we may fear less.”

-Marie Curie (1867-1934)

 

The de facto position concerning new medical discoveries cannot be that it will inevitably be used for sinister purposes. This anti-science viewpoint stifles innovation and progress for humanity, thus stunting potential breakthroughs in medicine. Tools available to researchers and health professionals are just that, tools. The usage and application are dependent on who wields these instruments. It is not hard to imagine the first Neanderthals who discovered fire might have been dubious about its utilization, once one of them tried to touch it.

Recently it was found that Artificial Intelligence (AI) used to screen medical images can detect with near-perfect accuracy the patient’s racial ethnicity without prior knowledge from outside inputs. This ability for AI covered a broad series of image types; from CT scans to chest X-Rays, and persisted over all anatomical regions. This finding was replicated even from images that were cropped, corrupted, or not ideally clear. Even more surprising is that human experts trained to analyze these scans cannot determine the patient’s race, yet AI trained with deep learning developed this ability by itself.

The AI utilizes ‘Deep Learning’ as the machine learning model that imitates the human learning process to a degree with predictive analytics, and complex learning algorithms.

A good analogy describes the process as:

“To understand deep learning, imagine a toddler whose first word is dog. The toddler learns what a dog is — and is not — by pointing to objects and saying the word dog. The parent says, “Yes, that is a dog,” or, “No, that is not a dog.” As the toddler continues to point to objects, he becomes more aware of the features that all dogs possess. What the toddler does, without knowing it, is clarify a complex abstraction — the concept of dog — by building a hierarchy in which each level of abstraction is created with knowledge that was gained from the preceding layer of the hierarchy.”

In this fashion, deep learning differs from traditional linear algorithms that are dictated by the computer programmer. A deep learning model will independently sift through massive data sets to create complex statistical models from large amounts of unstructured data. This represents a new frontier in AI technology. Prior to the 21st century, access to big data sets and cloud computing were out of reach for many computer programmers.

Not everyone in the medical field sees the potential in AI recognition. This article from MIT discounts any benefit to the computer model’s ability to detect race.

“The fact that algorithms ‘see’ race, as the authors convincingly document, can be dangerous. But an important and related fact is that, when used carefully, algorithms can also work to counter bias,” says Ziad Obermeyer, associate professor at the University of California at Berkeley, whose research focuses on AI applied to health.

This understandable caution for bias by AI is the prevailing theme for a significant part of the medical community. Numerous papers and articles sound the alarm for potential abuses of AI racial recognition. However, not one study or opinion piece expanded on the potential uses for AI’s talent to discern race in medical imaging. Remember, no human experts can do this, regardless of experience or training. What if this could unlock new, highly effective therapies tailored to different races depending on the disease? Maybe this leads to discovering distinct correlations that would allow for earlier detections of cancer and other diseases. AI using multivariate analysis would give all patients an edge in their treatment plans. An entirely new realm of possibilities could open up for science, but only if the courage is there to look for it.

This may be of no value in the field of medicine, and possibly even be a feature of AI that needs to be eliminated entirely. Yet to dismiss out of hand the ability for AI to detect racial identity in medical imaging without more research into potential uses would be folly and a discredit to the goal of furthering medical science and artificial intelligence.

Links:

AI recognition of patient race in medical imaging: a modelling study

https://www.thelancet.com/journals/landig/article/PIIS2589-7500(22)00063-2/fulltext

Artificial intelligence predicts patients’ race from their medical images

https://news.mit.edu/2022/artificial-intelligence-predicts-patients-race-from-medical-images-0520

AI systems can detect patient race, creating new opportunities to perpetuate health disparities

https://news.emory.edu/stories/2022/05/hs_ai_systems_detect_patient_race_27-05-2022/story.html

Risks of AI Race Detection in the Medical System

https://hai.stanford.edu/policy-brief-risks-ai-race-detection-medical-system

AI Can Detect Race When Clinicians Cannot, Increasing Risk of Bias

https://healthitanalytics.com/news/ai-can-detect-race-when-clinicians-cannot-increasing-risk-of-bias

AI programs can tell race from X-rays, but scientists don’t know how. Here’s why that’s bad.

https://www.boston.com/news/health/2022/05/18/scientists-create-ai-race-from-x-rays-dont-know-how-it-works-harvard-mit/

Hidden in Plain Sight: If AI Can Detect Race, What About Bias?

https://www.medscape.com/viewarticle/977619

Deep Learning

https://www.techtarget.com/searchenterpriseai/definition/deep-learning-deep-neural-network

13APR2023 – OCF Update – Out and About

I had to leave the outskirts of Dunwich today early and only got back in the early afternoon.  Things were going well when I got a call from Camera Girl stating that her old Toyota Corolla refused to bring her home and she needed a lift home and AAA to send a tow truck (or as the locals call it a “wrecker”).

Well, what can you do?  When it rains it pours and so instead of getting down to writing I had to get Camera Girl home and supervise the overhauling of her stalled chariot.  So here it is after 4pm and I haven’t got a sentence of creative writing to call my own.  Just this sad story about a sad story.

But there was a bit of human interest even in this prosaic event.  When the tow truck showed up the driver was a little laconic for Camera Girl’s liking.  Apparently, she belongs to the “customer’s always right” school of automotive services.  And during our ride home she railed against the young fellow and demanded that he shouldn’t get a tip.

I reminded her that today it was 83 degrees out there and a tow truck guy by the end of the day is pretty tired and on a hot day probably a little irritable.  And not everyone is super chatty and chirpy at their work.  And sure enough, after the fellow performed all his work and delivered the car expertly and without incident, I handed him the tip and he thanked me profusely and shook my hand vigorously.  And he said getting a tip was a big deal for him.  What do these women know of the real world that men live in?  Nothing!

So even though the day is consumed and I have no output of any kind, save for this slender reed of a story.  I am unperturbed.  My morning’s expedition was a rousing success.  The outcome of this mission was the best possible one and now Camera Girl and I will celebrate with forbidden foods.  Pasta and sausage and meatballs and garlic bread will be consumed and afterward there will be Italian cheesecake and ice cream.  So, there will be great rejoicing at the Compound and the peasants will rejoice.  Huzzah!

Later on, I will catch up on my photos and quotes and songs for the day and read some of the news of the day.  Apparently artificial intelligence is on everybody’s mind right now.  Honestly, I’m hoping that at some point natural intelligence will resurface on this planet.  We’re being led to Armageddon by morons.  It’s morons leading morons as far as the eye can see.  Joe Biden, Kamala Harris, Nancy Pelosi, Gavin Newsome and on and on and on.

At what point will any of these people be held accountable for the horrendous train wreck they’ve made of this country?  Does this go on until we’re starving and freezing in the streets?

The only solace I can take is that for a huge number of people all of this is common knowledge.  None of them hold Joe Biden in high esteem.  If the next time he falls down the steps of Air Force One he manages to kill himself no one will shed a single tear.  In fact, there will be hilarity and mockery for months.  Of course, the joke will be on us because then Cackling Harris would be the Commander in Chief and that would definitely end in a nuclear holocaust.

Well, I’m digressing away from the point.  Tonight, is a night of celebration.  No more talk of Biden or auto repair bills or anything depressing.  So, I’ll try to catch up on things tonight and tomorrow but this is just how things sometimes go.