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Neuron

Neuron

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NRN 正在建立一個生態系統,透過將遊戲和機器人技術作為測試平台,加速邁向通用人工智慧(AGI)的進程。該平台將 AI 代理整合到創新的遊戲體驗中,並在模擬環境中訓練具身智慧,再部署到實體機器人上。

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新聞

“We found that a single neuron can solve MNIST.” Konrad Kording's lab built a computational model of a single neuron that can recognize handwritten numbers — a hint that neurons can do more than we assumed. Full conversation on the @JuanBenet Podcast >>> https://t.co/uLosnelLsr https://t.

@protocollabs2026年7月

You're asking the right question of the wrong science. It really did help me to study Theory of Mind and Epigentics more than Neuroscience. Computational models are super helpful too. But yeah there are a lot of gaps/missing-layers. Now we do have full neuron maps of insects though.

@afdudley02026年6月

I animated how a neural network learns, from one neuron to backpropagation, simple math, no calculus required. Best 8 minutes you can spend if it has only ever been a black box to you.

@tetsuoai2026年6月

The entire core of a neural network on four cards. Neuron, forward pass, activations, backprop. Learn these four and you understand how every model from a perceptron to a transformer predicts and learns.

@tetsuoai2026年6月

What can a neuron compute? Real biological neurons are complex, but how capable are they? Using a new method, we found that a single cortical neuron can classify cats vs dogs, recognize spoken words, and solve 10-bit parity, all tasks thought to require entire networks. (1/15)

@chainyoda2026年6月

RT @IdoAizenbud: What can a neuron compute? Real biological neurons are complex, but how capable are they? Using a new method, we found t…

@MartinShkreli2026年6月

The neuron. weighted sums, a bias, a nonlinear bend.

@tetsuoai2026年6月

I would dispute that. If you simulated every single neuron of Jules Caesar precisely, Jules Caesar to the best of our understanding would be conscious. There's no law of physics that explain why the substrate would matter, and if consciousness goes beyond physics then the physical substrate definit

@arthurb2026年6月

The neuron. weighted sums, a bias, a nonlinear bend.

@tetsuoai2026年5月

A single neuron is not intelligent. A single transistor is not intelligent. Yet when billions of them interact and exchange signals according to simple rules, something quite remarkable emerges. We call that phenomenon intelligence.

@kyegomezb2026年5月