Esta application convierte cualquier texto que teclees en un texto que parece escrito a mano. Puedes probar varios estilos, velocidad, grosor del trazo.
A ver, me llevaría la hostia de tiempo programarlo y paso, pero ¿inteligencia artificial aquí? Si partes de unos patrones de letras y permites el ajuste de unos parámetros, como dice la entradilla, aleatorios dentro de un margen, haces lo mismo.
#5#7 Usa redes neuronales ( github.com/sjvasquez/handwriting-synthesis ), con lo que me imagino que será más "creativo" a la hora de generar tipografías que un software hecho a la antigua usanza.
#6 Pues lo llevo intentando un rato (con palabrejas como "acetamoxicilina") y todas las veces puedo leer el resultado de forma bastante aceptable. O sea, que de letra de médico nada...
#19 Estudié en su momento un poquillo de eso, muy poco, pero vamos, es que entonces o el mérito básico está en lo que otros hicieron y estos se aprovechan de los otros, o no es para tanto.
#15 Los alumnos de primaria chinos ya le han encontrado una aplicación.
Desde hace 2 o 3 años, han comenzado utilizar robots para hacer los deberes, a escondidas de sus profesores.
Para evitar que les pillen la maquina tiene que imitar su caligrafia. Por eso se han desarrollado app muy sofisticadas que a partir de fotos de textos escritos a mano, copian tu estilo de escritura . Ademas de poder meter cierto numero de errores.
Hubo una gran polemica sobre si se debia permitir o no utilizar estos robots para hacer los deberes. O como se podria evitar, ya que los profesores no son capaces de distiguir los hechos a mano de los hecho por robots.
#24 en general la ciencia es mejorar o trabajar con lo que otros hacen casi siempre... Aún así tienes que saber que parámetros tocar para adecuarlo a tu tarea.
Vamos a morir todos!
So what ARE they worried about? I wrote a little story to show you:
A 15-person startup company called Robotica has the stated mission of “Developing innovative Artificial Intelligence tools that allow humans to live more and work less.” They have several existing products already on the market and a handful more in development. They’re most excited about a seed project named Turry. Turry is a simple AI system that uses an arm-like appendage to write a handwritten note on a small card.
The team at Robotica thinks Turry could be their biggest product yet. The plan is to perfect Turry’s writing mechanics by getting her to practice the same test note over and over again:
“We love our customers. ~Robotica”
Once Turry gets great at handwriting, she can be sold to companies who want to send marketing mail to homes and who know the mail has a far higher chance of being opened and read if the address, return address, and internal letter appear to be written by a human.
To build Turry’s writing skills, she is programmed to write the first part of the note in print and then sign “Robotica” in cursive so she can get practice with both skills. Turry has been uploaded with thousands of handwriting samples and the Robotica engineers have created an automated feedback loop wherein Turry writes a note, then snaps a photo of the written note, then runs the image across the uploaded handwriting samples. If the written note sufficiently resembles a certain threshold of the uploaded notes, it’s given a GOOD rating. If not, it’s given a BAD rating. Each rating that comes in helps Turry learn and improve. To move the process along, Turry’s one initial programmed goal is, “Write and test as many notes as you can, as quickly as you can, and continue to learn new ways to improve your accuracy and efficiency.”
What excites the Robotica team so much is that Turry is getting noticeably better as she goes. Her initial handwriting was terrible, and after a couple weeks, it’s beginning to look believable. What excites them even more is that she is getting better at getting better at it. She has been teaching herself to be smarter and more innovative, and just recently, she came up with a new algorithm for herself that allowed her to scan through her uploaded photos three times faster than she originally could.
As the weeks pass, Turry continues to surprise the team with her rapid development. The engineers had tried something a bit new and
Interesante. La ventaja es que la misma letra es representada de formas distintas (en la misma frase), tal y como hace un humano. Y si repites la misma frase le pides que la re-escriba, lo hace de forma distinta (tal y como haría un humano). Para colmo, se puede elegir el grosor del trazo (incluso a posteriori), y hay nueve estilos de escritura disponibles (a elegir previamente). Solo 50 caracteres en cada frase. Voy a capturar patallazos para incorporarlos en gifs y memes al estilo tinyurl.com/yydycc9o
El mayor inconveniente es que solo gestiona (entiende) caracteres especiales muy comunes del inglés: . , : ' ( ) ? ! + - (el punto, coma, dos puntos, apóstrofe, paréntesis, cierre de interrogación, cierre de admiración, más y menos); no entiende caracteres como é ü ñ ; " _ * / = º ª @ ~ ç ^ [ ] < > (acentos, la diéresis, eñe, punto-y- coma, las comillas, u otros signos especiales).
#20 Lo que pasa es que si sabes lo que hay escrito es casi imposible no reconocerlo. Porque acabo de probar y vamos, hay veces que hay que entender hebreo para saber que ha puesto.
www.reddit.com/r/shortscifistories/comments/2uzdhm/we_love_our_custome
Una ia tampoco es algo que sea sencillo de programar si quieres hacer algo bien, aunque a lo mejor con matlab lo haces en un periquete.
ûℓhնʇɧүɧŭն ʇƺɧ ∂ʓն∂ƺʇƺɧʇƺყʇƺ3ʇƺ, ʇնû ℓûɐη∂ƺնû ɧŭ∂ƺʇƺℓƺɧүʇƺƺʇն∂ƺնүɧû, ƺʇηʇƺɧŭ ɧŭ∂ƺʇƺℓƺɧүʇƺƺʇն∂ƺնү ʇƺƺʇɧɧŭû, ɧŭ∂ƺʇƺℓƺɧүʇƺƺʇն∂ƺնү үɧʇƺƺɐʇɧℓℓûɐɧŭη∂ƺ, ʇƺℓƺɐɧ ƺɧƺƺնүն∂ƺ-ʇηℓɧ∂ʓɧŭ-ǜɧʇƺყû ƺүɧŭʇƺûℓhɧ,
Esto jakeukalane.github.io/chunuahu.html quedaría mucho mejor a mano.
Desde hace 2 o 3 años, han comenzado utilizar robots para hacer los deberes, a escondidas de sus profesores.
Para evitar que les pillen la maquina tiene que imitar su caligrafia. Por eso se han desarrollado app muy sofisticadas que a partir de fotos de textos escritos a mano, copian tu estilo de escritura . Ademas de poder meter cierto numero de errores.
Hubo una gran polemica sobre si se debia permitir o no utilizar estos robots para hacer los deberes. O como se podria evitar, ya que los profesores no son capaces de distiguir los hechos a mano de los hecho por robots.
En aliexpress puedes comprar estos robots por menos de 100€.
www.aliexpress.com/w/wholesale-handwriting-robot.html
No se como quedo la cosa.
So what ARE they worried about? I wrote a little story to show you:
A 15-person startup company called Robotica has the stated mission of “Developing innovative Artificial Intelligence tools that allow humans to live more and work less.” They have several existing products already on the market and a handful more in development. They’re most excited about a seed project named Turry. Turry is a simple AI system that uses an arm-like appendage to write a handwritten note on a small card.
The team at Robotica thinks Turry could be their biggest product yet. The plan is to perfect Turry’s writing mechanics by getting her to practice the same test note over and over again:
“We love our customers. ~Robotica”
Once Turry gets great at handwriting, she can be sold to companies who want to send marketing mail to homes and who know the mail has a far higher chance of being opened and read if the address, return address, and internal letter appear to be written by a human.
To build Turry’s writing skills, she is programmed to write the first part of the note in print and then sign “Robotica” in cursive so she can get practice with both skills. Turry has been uploaded with thousands of handwriting samples and the Robotica engineers have created an automated feedback loop wherein Turry writes a note, then snaps a photo of the written note, then runs the image across the uploaded handwriting samples. If the written note sufficiently resembles a certain threshold of the uploaded notes, it’s given a GOOD rating. If not, it’s given a BAD rating. Each rating that comes in helps Turry learn and improve. To move the process along, Turry’s one initial programmed goal is, “Write and test as many notes as you can, as quickly as you can, and continue to learn new ways to improve your accuracy and efficiency.”
What excites the Robotica team so much is that Turry is getting noticeably better as she goes. Her initial handwriting was terrible, and after a couple weeks, it’s beginning to look believable. What excites them even more is that she is getting better at getting better at it. She has been teaching herself to be smarter and more innovative, and just recently, she came up with a new algorithm for herself that allowed her to scan through her uploaded photos three times faster than she originally could.
As the weeks pass, Turry continues to surprise the team with her rapid development. The engineers had tried something a bit new and
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El mayor inconveniente es que solo gestiona (entiende) caracteres especiales muy comunes del inglés: . , : ' ( ) ? ! + - (el punto, coma, dos puntos, apóstrofe, paréntesis, cierre de interrogación, cierre de admiración, más y menos); no entiende caracteres como é ü ñ ; " _ * / = º ª @ ~ ç ^ [ ] < > (acentos, la diéresis, eñe, punto-y- coma, las comillas, u otros signos especiales).