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TRThis seems too crazy to be true, but it’s real. Somewhere in Australia, brain cells on a computer chip are playing Doom. It will be interesting, and probably slightly terrifying, to see what @corticallabs does next.
@trumancyber
#Liftoff Cortex Machine Learning
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RIDystopia 2028 here we come #techforgood #startupgrind
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ZADOOM Is Running On Brain Cells?
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WAIn transformers, text is first broken into tokens, which are small pieces such as whole words or sub-words.
Each token is turned into a vector (a list of numbers) that represents its meaning. The attention mechanism then looks at all tokens in a sentence at the same time and learns which ones are important to each other.
For every token, the model assigns attention weights that show how strongly it should “pay attention” to other tokens when understanding the current one.
This helps the model capture context by letting tokens share information. For example, the model can know what the word “it” refers to in a sentence with other contextual information.
The output is a richer, context-aware representation of the text that the model can use to predict the next word, answer a question, or perform other language tasks, and is why transformers are the main model behind most LLMs.
#machinelearning #datascience #LLMs #deeplearning #neuralnetworks
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DIPesquisadores da Cortical Labs conseguiram treinar neurônios humanos cultivados em laboratório para jogar Doom.
O sistema, chamado CL1, funciona com cerca de 200 mil neurônios cultivados sobre um microchip, formando uma espécie de computador biológico. Essas células recebem sinais do jogo e respondem com sua própria atividade elétrica, ajustando gradualmente seu comportamento enquanto aprendem a se mover pelo ambiente.
Anteriormente, o mesmo sistema já havia sido treinado para jogar Pong, um jogo muito mais simples. Agora, ele consegue interagir com um ambiente 3D significativamente mais complexo.
Apesar de os neurônios ainda estarem em um estágio inicial de aprendizado, a tecnologia pode abrir caminho para novas formas de estudar doenças neurológicas, testar medicamentos e compreender melhor como a inteligência surge em sistemas biológicos.
Isso também levanta uma questão interessante: no futuro, parte dos computadores poderia funcionar usando células vivas, e não apenas silício.
E você, o que acha sobre isso? 🤔💬
👉🏻 Siga (@diegoalmeida.ia) para ficar por dentro das últimas novidades em IA e Tecnologia
@diegoalmeida.ia
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TEAvustralyalı biyoteknoloji girişimi Cortical Labs, yaklaşık 200.000 canlı insan beyin hücresini bir mikroçip üzerine entegre ederek biyolojik bir bilgisayar geliştirdi. CL1 adı verilen bu sistem, laboratuvar ortamında yetiştirilen nöronların elektriksel sinyallerle eğitilmesi sayesinde klasik oyun Doom’u oynamayı başardı.
Bu teknoloji, silikon tabanlı yapay zekâ yerine “biyolojik zeka” yaklaşımını temsil ediyor. Hücreler, geri bildirim mekanizması sayesinde öğrenme davranışı sergiliyor. CL1’in, dünyadaki ilk ticari biyolojik bilgisayar olduğu belirtiliyor.
Bu gelişme; yapay zekâ, nörobilim ve bilgisayar mühendisliğinin kesişiminde yeni bir dönemin başlangıcı olarak görülüyor.
Gelecekte bilgisayarlarımız silikon yerine canlı hücrelerle mi çalışacak?
Kaynak: https://youtu.be/yRV8fSw6HaE?si=OlDsux8fUPgnKceb
#BiologicalComputer
#Neuroscience
#AI
#CorticalLabs
#doom
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CORobotics: what are rotation matrices? #robotics #tech #engineering #artificalintelligence
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IN👀Explicación: 200.000 neuronas humanas vivas aprendieron a jugar el videojuego Doom
Lo que parecía ciencia ficción ya está ocurriendo en laboratorio.
La startup australiana Cortical Labs desarrolló CL1, un sistema que integra aproximadamente 200.000 neuronas humanas cultivadas sobre un microchip, creando un computador biológico funcional.
Estas neuronas reciben señales eléctricas y, gracias a un sistema de retroalimentación, pueden aprender patrones. En pruebas, lograron jugar Doom, ajustando su comportamiento en tiempo real según los estímulos recibidos.
Estamos viendo el nacimiento de una nueva arquitectura tecnológica en la intersección entre IA, neurociencia e ingeniería computacional.
La pregunta ya no es si es posible.
Es hasta dónde puede escalar.
¿En el futuro los computadores funcionarán con células vivas en lugar de chips tradicionales? 🧬
Amas la IA? Sigue a @ingenia.ai
🔗Fuente: Cortical Labs| 200.000 neuronas humanas vivas aprendieron a jugar el videojuego Doom
@ingenia.ai
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LEMotion control for free
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#ai #klingaimltioncontrol #learnwithrohitt
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