#emery emmerich
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jonasiapie ¡ 2 months ago
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Emery(again)
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queenmuzz ¡ 5 months ago
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Hey Muzz!
First of all I love your Dragon Age Veilguard posts about your Rook and Emmerich or Emmerich in general. Through you I can experience some of his romance stuff (I have fallen for elf shadow dragon rook x lucanis and can't get out :C). Anyway I was kinda curious about the other DA games... Have you played them and who was your favorite romance in each game? Thanks for the answer! Have a good day Muzz! C:
Oh hello! I’m glad someone tolerates my Dragon Age obsession.
I’ve been playing this series since the beginning, and I must say this game series is a formative part of my life.
In origin I played Warrior dwarf Brosca (DOWN WITH THE CASTES BHELEN IS THE RIGHTFUL KING) and immediately made a beeline for Alistair. He was the guy that taught me that being attracted to a fictional character, the moment he handed me a flower. The fact he was a prince was just icing on the cake. At the time the game was phenomenal, but… I can’t push myself playing it again.
Dragon age 2, I played a warrior Hawke, who made a beeline for Anders, because of him being in awakening. Sadly, he was a changed man, and I had to use the murder knife. Fenris introduced me to my favourite voice actor, Gideon Emery.
In inquisition, I played a human noble warrior, who romanced… you guessed it, a Warden. Blackwall is actually when my tastes in fictional men went from youthful to… fine aged wine. I actually was so dumb, I assumed Blackwall was a warden so that when he left me in a barn naked (right as my mother in law walked into the room) I naturally assumed he had gone on his calling and didn’t tell me. I was a dumbass. Also, at this time I finally started tentatively participating in the fandom, as you might see in my oldest tumblr posts.
So here we are, I’ve just finished my first dwarf warrior warden (went back to my roots ) playthrough and am now… going mourn watch so I can romance that old man again but this time, I can match his freak. Lucanis is going to get my crow rook, and i have a shadow dragon elf lady set up for Harding.
I hope you enjoy Lucanis, who definitely is growing in me, especially since he isn’t the kind of character I expected.
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spiritsbard ¡ 3 months ago
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maxwell? jonathan sims? emmerich volkarin? researcher talloran? elias bouchard? girlll you have a type and that type is an appointment with your therapist
EMERY IS THIS YOU. GO AWAY. STOP JUDGING ME.
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pokemon-nickname-centre ¡ 4 years ago
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Nickname Idea Quickie: Darkrai
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The “Pitch-Black Pokemon”. I know a myriad of names relating to “black”; Blake, Kiara, Ebony, Cormac, Emery, Emmerich, Malanie, Shadow, Kieran and Raven etc
It was possibly inspired by the Greek God Morpheus. 
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stusbunker ¡ 5 years ago
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Dr. Emery Simmons-Winchester
Hey guys! An ask post got me thinking about my girl Emery from my Sam series For Better or Worst.
So I decided to fill out the questions about her, in case you’re interested since a lot of her background has been kept as only small glimpses due to the plot so far. Here are those questions from the ASK POST. (Since I know no one would actually send me asks, especially about OCs.)
Basics:
1. What is their gender?
Female
2. What is their sexuality?
Heterosexual
3. What is the meaning behind their name? Do they have any nicknames?
Meaning: Derived from Emmerich, which can mean brave and powerful. Also a hard, dark substance (i.e. emery boards)
Sam calls her ‘Em’ and ‘Baby’
Georgie used to call her Mama E
4. Do they have any siblings? How many? Are they older or younger?  Which sibling are they the closest with?
She has an older half brother that she isn’t close with, but that’s just because he lived across the country from her and her son.
5. What’s their relationship with their parents like? What about other relatives?
Emery loved her parents to the ends of the earth. Though her dad wasn’t always around, his parents helped raise her. She was by her mother’s side when she died from cancer.
6. What would they give their life for?
Georgie. And redemption. Though there are others that she cares for and her dedication to them will be tested deeply soon.
7. Are they in a romantic relationship? With who? How did they meet?
Is an arranged marriage romantic? I guess it depends on who you ask. She is currently married to Sam Winchester. They met via some shady dealings from one Naomi, Angel of the Lord.
8. What do they believe will happen to them after they die? Does this belief scare them?
Can I laugh at how deep we are getting in the “Basics” section of this?! Like, damn and then the next question is like a Teen Bop quiz.
Emery believes in Heaven, Hell, and Purgatory. She grew as a psychic, knowing the world as it exists on the show. She still believes the angels are on humanity’s side and are her path to forgiveness, if not salvation.
9. What is their favorite color? Favorite animal?
Emery likes rich earth tones with some gold in for accents. She looks good in just about anything though.
10. What are some of their talents/skills?
She is a medieval history professor, and an outstanding lecturer. She reads people really well, even after losing her psychic powers. She has a decent singing voice. Is an amazing mom. And when she makes up her mind to do something, she follows through. Very hard to change her mind or challenge her moral compass.
11. If they could make a mark on history, what would they like it to be?
Just that the world was better, in any small way, from her influence.
12. How old are they? When is their birthday?
She is 39, born January 16, 1981.
13. What do they do for fun?
Read. Play with her dog Bandit. Go for walks. Listen to music. She used to mess with people who didn’t know she was psychic, but nothing malicious just little things that would stump strangers. She also used to play video games with Georgie.
14. What is their favorite food? How often do they get to eat it?
Potatoes in all of their glorious forms. She also love Cajun cuisine. She isn’t much of a cook, because she never had time to go all out. But french fries are easy enough to come by!
15. What was something their parents taught them?
That no matter who you are, you have a place in this world and a job to do.
Family always comes first.
16. Are they religious?
Yes, but most of the strict devotion rose from the death of her son.
17. Where were they born?
Gary, Indiana
18. What languages can they speak? Where did they learn these languages?
Different dialects of American English. She can read Old English and Middle English from her years of study.
Latin, from high school and some college.
19. What is their occupation?
Currently a professor, formerly a part-time psychic.
20. Do they have any titles? How did they earn them?
She has a PHD in History and a Masters in Education. Dr. Simmons-Winchester if you’d like. ;)
Personality:
21. What is their favorite thing about their personality?
She appreciates her own snark, when it comes out.
22. What is their least favorite thing about their personality?
Her psychic upbringing game her a lot of empathy for others. She hates how weak that makes her seem.
23. Do they get lonely easily?
No, she keeps too busy to feel lonely. Her son was always enough for her... until she found Sam.
24. Do you know their MBTI type?
No because those tests are way too fucking long.
25. What is their biggest flaw?
Self-assigned guilt.
26. Are they aware of their flaws?
Not all of them, who is?
27. What is their biggest strength?
Her dedication.
28. Are they aware of their strengths?
Yes, she isn’t one to sell herself short.
29. How would they describe their own personality?
She would say she is smart, kind and generally tough.
30. When frightened, will they resort to “fight” or “flight”?
She isn’t one for physical violence, but she will stand up vocally. She has had to defend herself physically in the past and that cost her her son.
31. Does this character ever put somebody else’s needs before their own? Who do they do this for? How often do they do this?
Constantly, in the past it was mostly her son, but now also her husband.
32. What is their self esteem like?
Good. She owns her strengths and is aware of her shortcomings. Though she is slightly shaken from a recent rejection, but she knows better than to get too attached when there are other factors in play.
33. What is their biggest fear? How would they react to having to face it?
Failure to protect her son. She would go to the ends of possibility to save him.
34. How easily do they trust others with their secrets? With their lives?
It took almost five months of an arranged marriage for her to tell Sam about her son, his death and her side of their deal with Heaven. Though she trusts Sam, she didn’t reveal much about her past.
We’re going to have to wait and see if she can trust Sam or Cas with her life.
35. What is the easiest way to annoy them?
Talk cruelly about other people on end. Chew with your mouth open.
36. What is their sense of humor like? Give an example of a joke they would find humorous.
She has a pretty decent sense of humor. Not too dark, but definitely has a sarcastic streak. I think she would love memes, especially living with a preteen gamer, she would have seen her share. But she’s still a dorky mom, so she only shares the obvious ones with her TAs.
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37. How easy is it for them to say “I love you”? Do they say it without meaning it?
Fairly easy, especially with family. Never.
38. What do others admire most about their personality?
Her strength of character and her determination to DO GOOD.
39. What does their happily ever after look like?
She hasn’t really thought about it beyond the task at hand. Keeping up her charade with Sam in order to save Georgie’s soul and Dean. They have quiet the dream life from the outside: great jobs, nice house in a good neighborhood. But none of that can last, not for them. Right?
40. Who do they trust most? Is that trust mutual?
Her mother, but she passed about two years ago. Yes.
Physical Profile:
41. What does their laugh sound like? Do they snort when they laugh? How often do they laugh?
Her voice is smoky, much like her faceclaim Rashida Jones. Her laugh can get breathy or silent if it is a really deep one. She laughs in little spells, but nothing like she used to.
42. What is their favorite thing about their physical appearance?
Her sparkling hazel eyes.
43. What is their least favorite thing about their physical appearance?
She thinks she has a big nose. But her complex is so good, she doesn’t dwell.
44. Do they have any scars? If so, what are the stories behind those scars?
Yes, she had a total hysterectomy after her mother died so she has laparoscopic scaring. She also has stretch marks from pregnancy. The biggest scars are on her left upper arm, where her son scratched her when he first shifted into a werewolf.
45. How would they describe their own appearance?
Just a 30-someting mixed girl rocking what she’s got.
46. How easily can they express emotions? How easily can they hide emotions?
She is tempered first and foremost. Being vulnerable is not something she does regularly, but she doesn’t hide the big things. They’re too much for a reason.
47.    What’s their pain tolerance like? 
She is a women of color and a single mother, her pain tolerance is insanely high because people don’t listen anyway. (yes, that’s shade)
48. Do they have any tattoos? What are the stories behind those tattoos?
She doesn’t. (Desperately trying to remember if she does now... oops?)
49. Do they have any piercings?
Just a single on both ears.
51. What is their height? Weight?
5′4″ 130lbs ish
52. What is their body type? Are they muscular, chubby, skinny, etc?
She thin, not overly fit.
53. What is their hair color? Eye color? Skin tone?
Dark brown/ Hazel/ Dark Beige
55. What is their alcohol tolerance like? What kind of drunk are they? How bad are their hangovers?
She has a fairly low tolerance for alcohol, but that’s generally because she doesn’t drink often. When she gets wine drunk she gets affectionate. The few times she has been hungover have been exhausting because she doesn’t give her self time to recover.
56. What do they smell like? Why do they smell like this? (Is it the things they’re around or a perfume they wear?)
Her natural scent is warm spices, with almost a vanilla finish. She has a jasmine perfume that makes her slightly more feminine and floral.
57. How do they feel about sex? Are they a virgin?
She hasn’t had an active sex life until she married Sam. Before that it had been a few years. No, she isn’t a virgin and this is a dumb question because it is an outdated misogynistic construct.
58. What is their most noticeable physical attribute?
Her big, bright, multicolored eyes. Then her smile.
59. What does their resting face look like? Do they have RBF?
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Not exactly resting, but you get the point. Yes.
60. Describe the way they sleep.
She sleeps curled on her side, in the middle of the bed. If Sam’s already up, she is stealing his pillow to cuddle. If Sam is sleeping elsewhere, she stays to her side.
Environment:
61. Which season is their favorite season?
Summer, though she was born in the winter, she prefers it if she can function outside or at least read by the lake.
62. Have they ever been betrayed? How did it affect their ability to trust others?
Okay, yes, everyone has been betrayed. She is currently dealing with the ramifications of an unjust deal with Heaven. It’s not easy for her.
63. What is always guaranteed to make them smile?
Her dog Bandit.
64. Do they get cold easily? Do they get overheated easily?
Yes, she is a slight woman, she gets cold easily.
65. What’s their immune system like? Do they get sick often? How do they react to getting sick?
She has a solid immune system, even when she gets sick she powers through. Bad mental health days knock her down a few pegs though.
66. Where do they live? Do they like it there?
Currently living in Denver, CO with Sam and Bandit. She lived in Chicago with her son and dog previously.
67. Is their bedroom messy? What about their bathroom? Kitchen? Living room?
No, she keeps her bedroom clean because she shares it (for the most part) now. The bathroom and kitchen are always spotless. The living room is a little cluttered, but that’s generally Bandit’s toys and research she leaves out when she’s not grading in the dining room.
68. How did their environment growing up affect their personality?
She was surrounded by love. Her mom was a waitress at a diner and her paternal granddad and big mama helped raised her. She knew she had to work hard for anything to come to her and she also was psychic so she was able to sense how her family was “odd” or “wrong” depending on whose thoughts she heard. She grew up learning to respect people and kill them with kindness, or wit if she had to.
69. How did the people in their environment growing up affect their personality?
See above.
70. How do they feel about animals? Do they have any pets?
She loves animals, but is very much a dog person. Yes, Bandit, the best boy ever.
71. How are they with children? Do they have any? Do they want any?
She is amazing with kids, especially one on one. She has a son George, who would have been 13 last spring. She is unable to have more.
72.   Would they rather have stability or comfort? 
Stability. Knowing what to expect is its own level of comfort.
73. Do they prefer the indoors or outdoors?
She is generally indoors, but generally all of her active free time is spent outside.
74. What weather is their favorite? Do they like storms?
To be in, sunny and clear. She likes storms from the safety of inside and thunder more than the lightning.
75. If given a blank piece of paper, a pencil, and nothing to do, what would happen?
She would probably doodle old geometric patterns found on ancient manuscripts as a border. Possibly make a list of things that need doing or write the same word over and over again in different fonts.
76. How organized are they?
Fairly, not obsessively so.
77. What is their most prized possession?
Her PhD.
78. Who do they consider to be their best friend?
She was close with a few colleagues at her last job, a small college just outside of Chicago. But her mother was her best friend so it is hard to put that title on someone else since she lost her.
79. What is their economic situation? 
Currently upper-middle class. Previously working class struggling with medical bills.
80. Are they a morning person or a night owl?
She is not a morning person, but doesn’t stay up too late unless she has too.
Miscellaneous:
81. Are they bothered by the sight of blood?
No. Unless someone is severely hurt.
82. What is their handwriting like?
Not too neat, but generally a combination of print and cursive.
83. Can they swim? How well? Do they like to swim?
Yes, well enough to not die, she doesn’t know all the strokes or anything. Sure, but not as much as she likes sunbathing.
84. Which deadly sin do they represent best?
Oh, this is a tough one! I am going to say Envy, because though she had a great family growing up, she was still very much aware of what other people had. And their problems always seemed so frivolous.
85. Do they believe in ghosts?
Yes, she was a psychic, she spoken to spirits before.
86. How do they celebrate holidays? How do they celebrate birthdays?
She has her great-grandmother’s china that she keeps for the big holidays, Christmas, Easter, etc. She would host the cousins and aunties with her grandma and once her mom got too sick, it was harder to get everyone together. She and George would go to her Aunt Janice’s house when they could for Sunday dinner, but traffic in and out of the city was a pain during the school year.
87. What is something they regret?
Killing her son in self-defense.
88. Do they have an accent?
Not usually, she was in an academic setting for so long she doesn’t let it slip out often.
89. What is their D&D alignment?
Neutral Good, laws and those who enforce them should evolve quicker than they do.
90. Are they right or left handed?
Right.
92. Describe them as a John Mulaney gif.
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93. What’s the most iconic line of dialogue they’ve ever said?
She groaned, grabbing his face in both her hands. “Fine! Asshole. But you better make it worth it.”
She was pointing a finger at his agreeing puppy dog face now.
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transnamesuggestions ¡ 6 years ago
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i like the idea of having Em as a nickname, and I’m looking for more neutral or masculine names, any ideas?
Sure thing!
Here’s a few that Em can be a nickname for:
Emery/Emerson, Emmerich, Ember, Emil, Emlyn, Emmanuel, Emmett, Emrys, Embry
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akshitimr ¡ 3 years ago
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Stearic Acid - A Hardening Agent For Soaps, Candles
According to this latest study, the growth in the Stearic Acid market will change significantly from the previous year. Over the next five years, Stearic Acid will register a CAGR in terms of revenue, and the global market size will reach USD in millions by 2028.
Stearic acid has an 18-carbon backbone and is a saturated long-chain fatty acid. Stearic acid may be found in a variety of animal and plant fats, and it is a key component of cocoa butter and shea butter. Stearic acid is an emulsifier, emollient, and lubricant that softens skin and aids in the separation of goods. Stearic acid may be found in a wide range of personal care products, including moisturizer, sunscreen, cosmetics, soap, and baby lotion.
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Key Players Mentioned in the Market Stearic Acid Research Report:
IOI  Oleochemicals
KLK Emmerich GmbH
PT.Cisadane  Raya Chemicals
Pacific     Oleo
Taiko
VVF
Emery Oleochemicals
Acme-Hardesty
Paras  Polymer & Chemicals
PT. SUMI ASIH
Nimir Industrial Chemicals Limited
Hangzhou Oleochemicals
Shandong  Jinda Shuangpeng Group
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The report surveys the presence of the distinctive market segment a global as well as the regional scale that defines the Stearic Acid market size, demands and growth opportunities, and market areas that need to work on.
Stearic Acid Market Segment by Types, Estimates, and Forecast by 2028
Powder, Granular, Flakes, Block
Stearic Acid Market Segment by Applications, Estimates, and Forecast by 2028
Stearate chemical field,Cosmetic field,Food field,Rubber field,Plastic field 
The base on geography, the world market of Stearic Acid has been segmented as follows:
North  America includes the United States, Canada, and Mexico
Europe includes     Germany, France, UK, Italy, Spain, Russia, and the Rest of Europe
South America includes Brazil, Argentina, Nigeria, Chile, and South America
The  Asia Pacific includes Japan, China, South Korea, Australia, India, Rest of     Europe
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The report offers an analysis that is quantitative of the trends of the present market, dynamics, and estimation of the market size.
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The major countries in each region are carved out as per the revenue handout to the market.
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jonasiapie ¡ 3 months ago
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❤️Emery🖤
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livi-erudite ¡ 3 years ago
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More names!
Gender neutral names:
Aspen - From the English word for the tree, derived from Old English Ìspe.
Atlas - Possibly means "enduring" from Greek τλάω (tlao) meaning "to endure". In Greek mythology he was a Titan punished by Zeus by being forced to support the heavens on his shoulders.
Echo - From the Greek word ἠχώ (echo) meaning "echo, reflected sound". In Greek mythology Echo was a nymph cursed by Hera, so that she could only repeat what others said. 
Sage - From the English word sage, which denotes either a type of spice or a wise person.
Emery - Norman form of Emmerich. It can also be given in reference to the hard black substance called emery.
Valen - Transferred use of the surname Valen, or a diminutive of Valentino and Valentina.
Vivian - From the Latin name Vivianus, which was derived from Latin vivus "alive".
Wren - From the English word for the small songbird. It is ultimately derived from Old English wrenna.
Adina - From Hebrew עֲדִינָא ('adina') meaning "delicate".
Brook - From an English surname that denoted one who lived near a brook.
Marlowe - From a surname that was derived from a place name meaning "remnants of a lake" in Old English.
Shai - Either from Hebrew שַׁי (Shai) meaning "gift" or else a Hebrew diminutive of Isaiah.
Shirley - From an English surname that was originally derived from a place name meaning "bright clearing" in Old English.
Feminine names:
Kailea - Anglicized form of Kaileʻa, meaning "joyful sea" or "sea of joy”.
Aurelia - Feminine form of Aurelius, a Roman family name that was derived from Latin aureus meaning "golden, gilded".
Marigold - From the name of the flower, which comes from a combination of Mary and the English word gold.
Luna - Means "the moon" in Latin.
Maren - Danish diminutive of Marina or Maria.
Violet - From the English word violet for the purple flower, ultimately derived from Latin viola. 
Lilith - Derived from Akkadian lilitu meaning "of the night". In Jewish tradition she was Adam's first wife, sent out of Eden and replaced by Eve because she would not submit to him. The offspring of Adam (or Samael) and Lilith were the evil spirits of the world.
Lyra - The name of the constellation in the northern sky containing the star Vega. It is said to be shaped after the lyre of Orpheus.
Layla - Means "night" in Arabic. Layla was the love interest of the poet Qays (called Majnun) in an old Arab tale.
Estelle - From an Old French name meaning "star", ultimately derived from Latin stella. 
Nova - Derived from Latin novus meaning "new".
Eliza - Short form of Elizabeth. 
Kinsley - From a surname that was derived from an English place name, itself meaning "clearing belonging to Cyne". The Old English given name Cyne is a short form of longer names beginning with cyne meaning "royal".
Ivy - From the English word for the climbing plant that has small yellow flowers. It is ultimately derived from Old English ifig.
Aelia - Feminine form of Aelius, meaning sun. 
Nira - Feminine form of Nir, meaning "plowed field" in Hebrew.
Keres - The Keres were goddesses of death and daughters of Nyx, the goddess of night, in Greek Mythology.
Maris - Means "of the sea", taken from the Latin title of the Virgin Mary, Stella Maris, meaning "star of the sea".
Masculine names:
Adonis -  In Greek myth Adonis was a handsome young shepherd killed while hunting a wild boar. The anemone flower is said to have sprung from his blood. Because he was loved by Aphrodite, Zeus allowed him to be restored to life for part of each year. 
Otto - Later German form of Audo or Odo, originally a short form of various names beginning with the Germanic element aud meaning "wealth, fortune". 
Atticus - Latinized form of Greek Ἀττικός (Attikos) meaning "from Attica", referring to the region surrounding Athens in Greece.
Kasper - Dutch and Scandinavian form of Jasper.
Amadeus - Means "love of God", derived from Latin amare "to love" and Deus "God".
Elio - Italian form of Aelius or Helios.
Aaron - From the Hebrew name אַהֲרֹן ('Aharon), which is most likely of unknown Egyptian origin. Other theories claim a Hebrew derivation, and suggest meanings such as "high mountain" or "exalted". 
Colwyn - From the name of a bay and seaside town in Conwy, Wales.
Alton - From an Old English surname that was derived from a place name meaning "town at the source of the river".
Beckett - From an English surname that could be derived from various sources, including from Middle English beke meaning "beak" or bekke meaning "stream, brook".
Lester - From an English surname that was derived from the name of the city of Leicester, originally denoting a person who was from that place. The city's name is derived from the river name Ligore combined with Latin castra "camp".
Cathån - Derived from Old Irish cath "battle" combined with a diminutive suffix. 
Mervyn - Welsh variant of Merfyn.
Heron - Derived from Greek ἥρως (heros) meaning "hero".
Cool names for your OCs!
Masculine names:
Amos - carried by God
Ezra - help, aid, protect
Ezekiel - God will strengthen
Tobias - goodness of the lord
Orpheus - darkness of the night, also a character in Greek mythology
Everett - brave as a wild boar
Killian - bright-haired
Kovan - grief
Matthias - God's gift
Feminine names:
Cerelia - spring
Nia - purpose
Rowena - fame and happiness
Zuri - beautiful
Leonora - compassion
Alaya - sublime
Astoria - hawk
Mavise - songbird
Mira - admirable, peace
Gender neutral/unisex names:
Faden - spring
Cecil - blind, sixth
Rory - red king
Jaylen - healer, tranquil
Briar - thorny patch
Amari - eternal
Jaden - God has heard
Amari - eternal
Eden - delight or paradise
Vesper - evening star
Kieran - little dark one
Bailey - law enforcer
Lucian - bringer of light
Quinn - fifth
Carmen - song
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isolaradiale ¡ 7 years ago
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i'd like to reserve melissa gold /songbird from marvel comics and sunny emmerich from metal gear solid. i'm emery and my ooc is @birbdaughter.
Reserved!
-- mod polaris.
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michellemagly ¡ 5 years ago
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Growing Human Neurons Connected to a Computer
New Post has been published on https://computercoolingstore.com/growing-human-neurons-connected-to-a-computer/
Growing Human Neurons Connected to a Computer
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Neurons are amazing little microbes capable of learning and making decisions. Modern AI tries to take inspiration from living neurons, but why settle for the synthetic version? By growing human neurons directly connected to a computer it’s possible to make a living AI of sorts capable of even complex tasks like flying a plane in a simulation.
Today we explore our first attempt at doing exactly that. We cover building the first prototype multi electrode array, growing the neurons and attempting to take some readings from them. This is the first part of what will hopefully be a many part series, so stay tuned for updates!
More reading/sources:
Rat neuron video- Rat neuron paper – %20Control%20With%20Living%20Neuronal%20Networks%20on%20Microelectrode%20Trays%20-%20De%20Marse%2C%20Dockendorf.pdf Multi electrode array fabrication –
Previous videos:
Meat berry – Magnetron build –
Gabes Stuff:
https://www.instagram.com/glimsd/
https://www.cbc.ca/news/health/biohacking-glybera-lipoprotein-lipase-deficiency-lpld-million-dollar-drug-1.5274314 _________________________________________________________________ Support the show and future projects:
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Special thanks to my amazing patrons and channel members!
Afrotechmods Alex Alexander Marunowski Alexandre Guhur Ambrose Andre andrew james morris Anita Fowler Applied Science Austin Morris Ben Ben Reay Bennet Huch besenyeim BinarySplit Brady OBrien Chris the Mad Sciencer Comrade Spamuel Danny Chan Dave Yeagly David Choitz Dima Drew DeVault dstensnes Dustin Parciasepe Eisolu Elliot Turner emptymachine ethan lutz Eugene Pakhomov Ezekiel Dohmen Filipsi Frank genuinebyte Harry Pottash ian burghardt Jack Brown James Jaroslav Henner Jase Smith Jim Mussared John John De Witt John Wlazlo Jon Adams Jonathan Dashe Joshua Pedrick Justa Noman Justin Hendryx Kevin Kevin Forsythe kn0tsin Krys Kamieniecki Lambda AI Hardware Leon Leon Schutte Leslie Rohde Lewis Westbury Liam Scaife Louis Cashin Luc Ritchie Marco Reps Martin Haugsand Matthew Broerman Matthew Reece-Ford Maxwell Meinhard Absalon Michael Chatzidakis Monsyne Dragon narvutar1324 Nicholas Fletcher Nico Schlüter Overshafter Patrick Patrick Sweetman Paul Emmerich Paul Richmond Phelan O’Connell Philipp Weber Pietro Saccardi Piper Elinor Ralph Dratman Rauni Robert Boll robert braun Robert Miller Robert S. Sam Pinches sdrwer erwer Sean Coates Sebastiaan Schlappi Simon Convey Simon Hallam SkaveRat tain TheOneTrueJames TheQuickestBrownFox Tiffany Bennett Tom Bullock T��mas Árni Jónasson Vedran Bajic Virgil Ilian Walter Jones xj9 Áva Eriksdóttir
Chris Modjeska Phillip Johnson andrĂŠ bernard mennicken Jose Ayala Shwe Yin Aye Malcolm Berkeley Louis St Pierre Radio Astronomy (MSAS) stevenson primacio John Emery Ajit A bitizen248 Guillermo Alum flantc Gavin Lou just_noXi SheLovesItWhenYouPullOutThatPhenomenalDissertation Dr. Brandon Wiley Jonathan Nagel IstvĂĄn Kiss Jorm Skagh txyzinfo Robert Boll trevor skjerpen adamklam1 Hunter Bagby Anthony M Kush Agarwal
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the-etranger ¡ 5 years ago
Text
Growing Human Neurons Connected to a Computer
New Post has been published on https://computercoolingstore.com/growing-human-neurons-connected-to-a-computer/
Growing Human Neurons Connected to a Computer
Tumblr media
youtube
Neurons are amazing little microbes capable of learning and making decisions. Modern AI tries to take inspiration from living neurons, but why settle for the synthetic version? By growing human neurons directly connected to a computer it’s possible to make a living AI of sorts capable of even complex tasks like flying a plane in a simulation.
Today we explore our first attempt at doing exactly that. We cover building the first prototype multi electrode array, growing the neurons and attempting to take some readings from them. This is the first part of what will hopefully be a many part series, so stay tuned for updates!
More reading/sources:
Rat neuron video- Rat neuron paper – %20Control%20With%20Living%20Neuronal%20Networks%20on%20Microelectrode%20Trays%20-%20De%20Marse%2C%20Dockendorf.pdf Multi electrode array fabrication –
Previous videos:
Meat berry – Magnetron build –
Gabes Stuff:
https://www.instagram.com/glimsd/
https://www.cbc.ca/news/health/biohacking-glybera-lipoprotein-lipase-deficiency-lpld-million-dollar-drug-1.5274314 _________________________________________________________________ Support the show and future projects:
Patreon:
Ko-Fi:
Become a member:
Store: _________________________________________________________________
My Social Media Pages:
Instagram:
Facebook:
Twitter:
Website: _________________________________________________________________
Special thanks to my amazing patrons and channel members!
Afrotechmods Alex Alexander Marunowski Alexandre Guhur Ambrose Andre andrew james morris Anita Fowler Applied Science Austin Morris Ben Ben Reay Bennet Huch besenyeim BinarySplit Brady OBrien Chris the Mad Sciencer Comrade Spamuel Danny Chan Dave Yeagly David Choitz Dima Drew DeVault dstensnes Dustin Parciasepe Eisolu Elliot Turner emptymachine ethan lutz Eugene Pakhomov Ezekiel Dohmen Filipsi Frank genuinebyte Harry Pottash ian burghardt Jack Brown James Jaroslav Henner Jase Smith Jim Mussared John John De Witt John Wlazlo Jon Adams Jonathan Dashe Joshua Pedrick Justa Noman Justin Hendryx Kevin Kevin Forsythe kn0tsin Krys Kamieniecki Lambda AI Hardware Leon Leon Schutte Leslie Rohde Lewis Westbury Liam Scaife Louis Cashin Luc Ritchie Marco Reps Martin Haugsand Matthew Broerman Matthew Reece-Ford Maxwell Meinhard Absalon Michael Chatzidakis Monsyne Dragon narvutar1324 Nicholas Fletcher Nico Schlüter Overshafter Patrick Patrick Sweetman Paul Emmerich Paul Richmond Phelan O’Connell Philipp Weber Pietro Saccardi Piper Elinor Ralph Dratman Rauni Robert Boll robert braun Robert Miller Robert S. Sam Pinches sdrwer erwer Sean Coates Sebastiaan Schlappi Simon Convey Simon Hallam SkaveRat tain TheOneTrueJames TheQuickestBrownFox Tiffany Bennett Tom Bullock Tómas Árni Jónasson Vedran Bajic Virgil Ilian Walter Jones xj9 Áva Eriksdóttir
Chris Modjeska Phillip Johnson andrĂŠ bernard mennicken Jose Ayala Shwe Yin Aye Malcolm Berkeley Louis St Pierre Radio Astronomy (MSAS) stevenson primacio John Emery Ajit A bitizen248 Guillermo Alum flantc Gavin Lou just_noXi SheLovesItWhenYouPullOutThatPhenomenalDissertation Dr. Brandon Wiley Jonathan Nagel IstvĂĄn Kiss Jorm Skagh txyzinfo Robert Boll trevor skjerpen adamklam1 Hunter Bagby Anthony M Kush Agarwal
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pumpkinqueen-bonecollector ¡ 5 years ago
Text
Growing Human Neurons Connected to a Computer
New Post has been published on https://computercoolingstore.com/growing-human-neurons-connected-to-a-computer/
Growing Human Neurons Connected to a Computer
Tumblr media
youtube
Neurons are amazing little microbes capable of learning and making decisions. Modern AI tries to take inspiration from living neurons, but why settle for the synthetic version? By growing human neurons directly connected to a computer it’s possible to make a living AI of sorts capable of even complex tasks like flying a plane in a simulation.
Today we explore our first attempt at doing exactly that. We cover building the first prototype multi electrode array, growing the neurons and attempting to take some readings from them. This is the first part of what will hopefully be a many part series, so stay tuned for updates!
More reading/sources:
Rat neuron video- Rat neuron paper – %20Control%20With%20Living%20Neuronal%20Networks%20on%20Microelectrode%20Trays%20-%20De%20Marse%2C%20Dockendorf.pdf Multi electrode array fabrication –
Previous videos:
Meat berry – Magnetron build –
Gabes Stuff:
https://www.instagram.com/glimsd/
https://www.cbc.ca/news/health/biohacking-glybera-lipoprotein-lipase-deficiency-lpld-million-dollar-drug-1.5274314 _________________________________________________________________ Support the show and future projects:
Patreon:
Ko-Fi:
Become a member:
Store: _________________________________________________________________
My Social Media Pages:
Instagram:
Facebook:
Twitter:
Website: _________________________________________________________________
Special thanks to my amazing patrons and channel members!
Afrotechmods Alex Alexander Marunowski Alexandre Guhur Ambrose Andre andrew james morris Anita Fowler Applied Science Austin Morris Ben Ben Reay Bennet Huch besenyeim BinarySplit Brady OBrien Chris the Mad Sciencer Comrade Spamuel Danny Chan Dave Yeagly David Choitz Dima Drew DeVault dstensnes Dustin Parciasepe Eisolu Elliot Turner emptymachine ethan lutz Eugene Pakhomov Ezekiel Dohmen Filipsi Frank genuinebyte Harry Pottash ian burghardt Jack Brown James Jaroslav Henner Jase Smith Jim Mussared John John De Witt John Wlazlo Jon Adams Jonathan Dashe Joshua Pedrick Justa Noman Justin Hendryx Kevin Kevin Forsythe kn0tsin Krys Kamieniecki Lambda AI Hardware Leon Leon Schutte Leslie Rohde Lewis Westbury Liam Scaife Louis Cashin Luc Ritchie Marco Reps Martin Haugsand Matthew Broerman Matthew Reece-Ford Maxwell Meinhard Absalon Michael Chatzidakis Monsyne Dragon narvutar1324 Nicholas Fletcher Nico Schlüter Overshafter Patrick Patrick Sweetman Paul Emmerich Paul Richmond Phelan O’Connell Philipp Weber Pietro Saccardi Piper Elinor Ralph Dratman Rauni Robert Boll robert braun Robert Miller Robert S. Sam Pinches sdrwer erwer Sean Coates Sebastiaan Schlappi Simon Convey Simon Hallam SkaveRat tain TheOneTrueJames TheQuickestBrownFox Tiffany Bennett Tom Bullock Tómas Árni Jónasson Vedran Bajic Virgil Ilian Walter Jones xj9 Áva Eriksdóttir
Chris Modjeska Phillip Johnson andrĂŠ bernard mennicken Jose Ayala Shwe Yin Aye Malcolm Berkeley Louis St Pierre Radio Astronomy (MSAS) stevenson primacio John Emery Ajit A bitizen248 Guillermo Alum flantc Gavin Lou just_noXi SheLovesItWhenYouPullOutThatPhenomenalDissertation Dr. Brandon Wiley Jonathan Nagel IstvĂĄn Kiss Jorm Skagh txyzinfo Robert Boll trevor skjerpen adamklam1 Hunter Bagby Anthony M Kush Agarwal
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fandomstuckdiversity ¡ 5 years ago
Text
Growing Human Neurons Connected to a Computer
New Post has been published on https://computercoolingstore.com/growing-human-neurons-connected-to-a-computer/
Growing Human Neurons Connected to a Computer
Tumblr media
youtube
Neurons are amazing little microbes capable of learning and making decisions. Modern AI tries to take inspiration from living neurons, but why settle for the synthetic version? By growing human neurons directly connected to a computer it’s possible to make a living AI of sorts capable of even complex tasks like flying a plane in a simulation.
Today we explore our first attempt at doing exactly that. We cover building the first prototype multi electrode array, growing the neurons and attempting to take some readings from them. This is the first part of what will hopefully be a many part series, so stay tuned for updates!
More reading/sources:
Rat neuron video- Rat neuron paper – %20Control%20With%20Living%20Neuronal%20Networks%20on%20Microelectrode%20Trays%20-%20De%20Marse%2C%20Dockendorf.pdf Multi electrode array fabrication –
Previous videos:
Meat berry – Magnetron build –
Gabes Stuff:
https://www.instagram.com/glimsd/
https://www.cbc.ca/news/health/biohacking-glybera-lipoprotein-lipase-deficiency-lpld-million-dollar-drug-1.5274314 _________________________________________________________________ Support the show and future projects:
Patreon:
Ko-Fi:
Become a member:
Store: _________________________________________________________________
My Social Media Pages:
Instagram:
Facebook:
Twitter:
Website: _________________________________________________________________
Special thanks to my amazing patrons and channel members!
Afrotechmods Alex Alexander Marunowski Alexandre Guhur Ambrose Andre andrew james morris Anita Fowler Applied Science Austin Morris Ben Ben Reay Bennet Huch besenyeim BinarySplit Brady OBrien Chris the Mad Sciencer Comrade Spamuel Danny Chan Dave Yeagly David Choitz Dima Drew DeVault dstensnes Dustin Parciasepe Eisolu Elliot Turner emptymachine ethan lutz Eugene Pakhomov Ezekiel Dohmen Filipsi Frank genuinebyte Harry Pottash ian burghardt Jack Brown James Jaroslav Henner Jase Smith Jim Mussared John John De Witt John Wlazlo Jon Adams Jonathan Dashe Joshua Pedrick Justa Noman Justin Hendryx Kevin Kevin Forsythe kn0tsin Krys Kamieniecki Lambda AI Hardware Leon Leon Schutte Leslie Rohde Lewis Westbury Liam Scaife Louis Cashin Luc Ritchie Marco Reps Martin Haugsand Matthew Broerman Matthew Reece-Ford Maxwell Meinhard Absalon Michael Chatzidakis Monsyne Dragon narvutar1324 Nicholas Fletcher Nico Schlüter Overshafter Patrick Patrick Sweetman Paul Emmerich Paul Richmond Phelan O’Connell Philipp Weber Pietro Saccardi Piper Elinor Ralph Dratman Rauni Robert Boll robert braun Robert Miller Robert S. Sam Pinches sdrwer erwer Sean Coates Sebastiaan Schlappi Simon Convey Simon Hallam SkaveRat tain TheOneTrueJames TheQuickestBrownFox Tiffany Bennett Tom Bullock Tómas Árni Jónasson Vedran Bajic Virgil Ilian Walter Jones xj9 Áva Eriksdóttir
Chris Modjeska Phillip Johnson andrĂŠ bernard mennicken Jose Ayala Shwe Yin Aye Malcolm Berkeley Louis St Pierre Radio Astronomy (MSAS) stevenson primacio John Emery Ajit A bitizen248 Guillermo Alum flantc Gavin Lou just_noXi SheLovesItWhenYouPullOutThatPhenomenalDissertation Dr. Brandon Wiley Jonathan Nagel IstvĂĄn Kiss Jorm Skagh txyzinfo Robert Boll trevor skjerpen adamklam1 Hunter Bagby Anthony M Kush Agarwal
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acid-bvrn ¡ 5 years ago
Text
Growing Human Neurons Connected to a Computer
New Post has been published on https://computercoolingstore.com/growing-human-neurons-connected-to-a-computer/
Growing Human Neurons Connected to a Computer
Tumblr media
youtube
Neurons are amazing little microbes capable of learning and making decisions. Modern AI tries to take inspiration from living neurons, but why settle for the synthetic version? By growing human neurons directly connected to a computer it’s possible to make a living AI of sorts capable of even complex tasks like flying a plane in a simulation.
Today we explore our first attempt at doing exactly that. We cover building the first prototype multi electrode array, growing the neurons and attempting to take some readings from them. This is the first part of what will hopefully be a many part series, so stay tuned for updates!
More reading/sources:
Rat neuron video- Rat neuron paper – %20Control%20With%20Living%20Neuronal%20Networks%20on%20Microelectrode%20Trays%20-%20De%20Marse%2C%20Dockendorf.pdf Multi electrode array fabrication –
Previous videos:
Meat berry – Magnetron build –
Gabes Stuff:
https://www.instagram.com/glimsd/
https://www.cbc.ca/news/health/biohacking-glybera-lipoprotein-lipase-deficiency-lpld-million-dollar-drug-1.5274314 _________________________________________________________________ Support the show and future projects:
Patreon:
Ko-Fi:
Become a member:
Store: _________________________________________________________________
My Social Media Pages:
Instagram:
Facebook:
Twitter:
Website: _________________________________________________________________
Special thanks to my amazing patrons and channel members!
Afrotechmods Alex Alexander Marunowski Alexandre Guhur Ambrose Andre andrew james morris Anita Fowler Applied Science Austin Morris Ben Ben Reay Bennet Huch besenyeim BinarySplit Brady OBrien Chris the Mad Sciencer Comrade Spamuel Danny Chan Dave Yeagly David Choitz Dima Drew DeVault dstensnes Dustin Parciasepe Eisolu Elliot Turner emptymachine ethan lutz Eugene Pakhomov Ezekiel Dohmen Filipsi Frank genuinebyte Harry Pottash ian burghardt Jack Brown James Jaroslav Henner Jase Smith Jim Mussared John John De Witt John Wlazlo Jon Adams Jonathan Dashe Joshua Pedrick Justa Noman Justin Hendryx Kevin Kevin Forsythe kn0tsin Krys Kamieniecki Lambda AI Hardware Leon Leon Schutte Leslie Rohde Lewis Westbury Liam Scaife Louis Cashin Luc Ritchie Marco Reps Martin Haugsand Matthew Broerman Matthew Reece-Ford Maxwell Meinhard Absalon Michael Chatzidakis Monsyne Dragon narvutar1324 Nicholas Fletcher Nico Schlüter Overshafter Patrick Patrick Sweetman Paul Emmerich Paul Richmond Phelan O’Connell Philipp Weber Pietro Saccardi Piper Elinor Ralph Dratman Rauni Robert Boll robert braun Robert Miller Robert S. Sam Pinches sdrwer erwer Sean Coates Sebastiaan Schlappi Simon Convey Simon Hallam SkaveRat tain TheOneTrueJames TheQuickestBrownFox Tiffany Bennett Tom Bullock Tómas Árni Jónasson Vedran Bajic Virgil Ilian Walter Jones xj9 Áva Eriksdóttir
Chris Modjeska Phillip Johnson andrĂŠ bernard mennicken Jose Ayala Shwe Yin Aye Malcolm Berkeley Louis St Pierre Radio Astronomy (MSAS) stevenson primacio John Emery Ajit A bitizen248 Guillermo Alum flantc Gavin Lou just_noXi SheLovesItWhenYouPullOutThatPhenomenalDissertation Dr. Brandon Wiley Jonathan Nagel IstvĂĄn Kiss Jorm Skagh txyzinfo Robert Boll trevor skjerpen adamklam1 Hunter Bagby Anthony M Kush Agarwal
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transnamesuggestions ¡ 6 years ago
Note
hullo!! you got any first name ideas that start with E? thanks!!
2/2 btw i'm the E first name anon- guy names!! sorry for not specifying rip
No worries!
Here’s some for you: 
Eamon (similar pronunciation to Damon), Earl, Easton, 
Ed/Eddie (could be short for Edison, Edward, Edgar, Edwin), 
Eli (Eliah, Elian, Elijah, Elias, Elliot, Elio), Ellis/Ellison, 
Emmerich, Emery/Emerson, Emil, Emmett, Emmanuel, 
Enrico, Enrique, Enzo, Eric/Erik, Ernest, Erwin, Esmond,
Ethan, Eugene, Evan, Evander, Everest, Everett, Everson,
Ewan, Ezekiel, Ezra, Ezriel
- ganz
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