The Real Science (Not Armchair Science) Of Consciousness

Among brain researchers there’s a truism that says the reason people underestimate how much unconscious processing goes on in your brain is because you’re not conscious of it. And while there is a lot of unconscious processing, the truism also points out a duality: your brain does both processing that leads to consciousness and processing that does not. As you’ll see below, this duality has opened up a scientific approach to studying consciousness.

Are Subjective Results Scientific?

Researcher checking fMRI images.
Checking fMRI images.

In science we’re used to empirical test results, measurements made in a way that are verifiable, a reading from a calibrated meter where that reading can be made again and again by different people. But what if all you have to go on is what a person says they are experiencing, a subjective observation? That doesn’t sound very scientific.

That lack of non-subjective evidence is a big part of what stalled scientific research into consciousness for many years. But consciousness is unique. While we have measuring tools for observing brain activity, how do you know whether that activity is contributing to a conscious experience or is unconscious? The only way is to ask the person whose brain you’re measuring. Are they conscious of an image being presented to them? If not, then it’s being processed unconsciously. You have to ask them, and their response is, naturally, subjective.

Skepticism about subjective results along with a lack of tools, held back scientific research into consciousness for many years. It was taboo to even use the C-word until the 1980s when researchers decided that subjective results were okay. Since then, here’s been a great deal of scientific research into consciousness and this then is a sampling of that research. And as you’ll see, it’s even saved a life or two.

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Death Of The Turing Test In An Age Of Successful AIs

IBM has come up with an automatic debating system called Project Debater that researches a topic, presents an argument, listens to a human rebuttal and formulates its own rebuttal. But does it pass the Turing test? Or does the Turing test matter anymore?

The Turing test was first introduced in 1950, often cited as year-one for AI research. It asks, “Can machines think?”. Today we’re more interested in machines that can intelligently make restaurant recommendations, drive our car along the tedious highway to and from work, or identify the surprising looking flower we just stumbled upon. These all fit the definition of AI as a machine that can perform a task normally requiring the intelligence of a human. Though as you’ll see below, Turing’s test wasn’t even for intelligence or even for thinking, but rather to determine a test subject’s sex.

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Books You Should Read: The Boy Who Harnessed The Wind

For many of us, our passion for electronics and science originated with curiosity about some device, a computer, radio, or even a car. The subject of this book has just such an origin. However, how many of us made this discovery and pursued this path during times of hunger or outright famine?

That’s the remarkable story of William Kamkwamba that’s told in the book, The Boy Who Harnessed the Wind. Remarkable because it culminates with his building a windmill (more correctly called a wind turbine) that powered lights in his family’s house all by the young age of fifteen. As you’ll see, it’s also the story of an unyielding thirst for knowledge in the face of famine and doubt by others.

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Rise Of The Unionized Robots

For the first time, a robot has been unionized. This shouldn’t be too surprising as a European Union resolution has already recommended creating a legal status for robots for purposes of liability and a robot has already been made a citizen of one country. Naturally, these have been done either to stimulate discussion before reality catches up or as publicity stunts.

Dum-E spraying Tony StarkWhat would reality have to look like before a robot should be given legal status similar to that of a human? For that, we can look to fiction.

Tony Stark, the fictional lead character in the Iron Man movies, has a robot called Dum-E which is little more than an industrial robot arm. However, Stark interacts with it using natural language and it clearly has feelings which it demonstrates from its posture and sounds of sadness when Stark scolds it after needlessly sprays Stark using a fire extinguisher. In one movie Dum-E saves Stark’s life while making sounds of compassion. And when Stark makes Dum-E wear a dunce cap for some unexplained transgression, Dum-E appears to get even by shooting something at Stark. So while Dum-E is a robot assistant capable of responding to natural language, something we’re sure Hackaday readers would love to have in our workshops, it also has emotions and acts on its own volition.

Here’s an exercise to try to find the boundary between a tool and a robot deserving of personhood.

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Sci-Hub: Breaking Down The Paywalls

There’s a battle going on in academia between the scientific journal publishing companies that have long served as the main platform for peer review and spreading information, and scientists themselves who just want to share and have access to the work of their fellows. arxiv.org launched the first salvo, allowing researchers in physics to self-publish their own papers, and has gained some traction in mathematics and computer science. The Public Library of Science journals focus on biology and medicine and offer peer review services. There are many others, and even the big firms have been forced to recognize the importance of open science publication.

But for many, that’s still not enough. The high prestige journals, and most past works, are stuck behind paywalls. Since 2011, Sci-Hub has taken science publishing open by force, illegally obtaining papers and publishing them in violation of copyright, but at the same time facilitating scientific research and providing researchers in poorer countries with access that their rich-world colleagues take for granted. The big publishing firms naturally fought back in court and won, and with roughly $20 million of damages, drove Sci-Hub’s founder underground.

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Testing cooling with transformer oil

Measuring The Cooling Effect Of Transformer Oil

Transformer oil has long served two purposes, cooling and insulating. The large, steel encased transformers we see connected to the electrical grid are filled with transformer oil which is circulated through radiator fins for dumping heat to the surrounding air. In the hacker world, we use transformer oil for cooling RF dummy loads and insulating high voltage components. [GreatScott] decided to do some tests of his own to see just how good it is for cooling circuits.

Thermal measurement resultsHe started with testing canola oil but found that it breaks down from contact with air and becomes rancid. So he purchased some transformer oil. First, testing its suitability for submerging circuits, he found that he couldn’t see any current above his meter’s 0.0 μA limit when applying 15 V no matter how close together he brought his contacts. At 1 cm he got around 2 μA with 230 VAC, likely from parasitic capacitance, for a resistance of 115 Mohm/cm.

Moving on to thermal testing, he purchased a 4.7 ohm, 100 watt, heatsink encased resistor and attached a temperature probe to it with Kapton tape. Submerging it in transformer oil and applying 25 watts through it continuously, he measured a temperature of 46.8°C after seven minutes. The same test with distilled water reached 35.3°C. Water’s heat capacity is 4187 J/kg∙K, not surprisingly much better than the transformer oil’s 2090 J/kg∙K which in turn is twice as good as air’s 1005 J/kg∙K.

He performed a few more experiments but we’ll leave those to his video below.

We’ve run across a number of tests running boards submerged in various oils before. For example, we’ve seen Raspberry Pi’s running in vegetable oil and mineral oil as well as an Arduino running in a non-conductive liquid coolant, all either overclocked or under heavy load.

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3D Printering: Blender Tips For Printable Objects

3D models drawn in Blender work great in a computer animated virtual world but don’t always when brought into a slicer for 3D printing. Slicers require something which makes sense in the real world. And the real world is far less forgiving, as I’ve found out with my own projects which use 3D printed parts.

Our [Brian Benchoff] already talked about making parts in Blender with his two-part series (here and here) so consider this the next step. These are the techniques I’ve come up with for preparing parts for 3D printing before handing them off to a slicer program. Note that the same may apply to other mesh-type modeling programs too, but as Blender is the only one I’ve used, please share your experiences with other programs in the comments below.

I’ll be using the latest version of Blender at this time, version 2.79b. My printer is the Crealty CR-10 and my slicer is Cura 3.1.0. Some of these steps may vary depending on your slicer or if you’re using a printing service. For example, Shapeways has instructions for people creating STLs from Blender for uploading to them.

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