We use the most advanced machine learning techniques called neural networks.

我们使用了最先进的机器学习技术，叫做神经网络。

In order for a new neuron to survive, it has to get plugged into an existing neural network, and that happens when you learn new things.

为了让的神经元存活下来，它必须被插入到现有的神经网络中，当你学习事物时就会做到这。

And we also automatically analyze your neural network to make best use of hardware acceleration.

我们还自动分析你的神经网络以便更好地利用硬件加速。

Deep neural networks learn by minimizing the error in their predictions.

深度神经网络是以“将预测误差最小”为依据的种机器学习技术。

Basically, it interrupts the pathways and the communication between your neural networks.

就是它阻断了神经网络间的通路及联系。

That's where neural networks are really powerful.

这就是神经网络真正的地方。

This is not the case with deep neural networks.

但深度神经网络不是这样。

There are many applications of neural networks when it comes to mobile devices.

当提及移动设备时，神经网络有很多应用。

Over the past two decades, the technology has gone through a complete overhaul, shifting from a basic pattern matching tool to a sophisticated neural network that handles more than 130 languages.

在过去的二十年里，这项技术经历了彻底的革，从基本的模式匹配工具转变为复杂的神经网络，可以处理 130 多种语言。

Thanks to the phenomenon of neuroplasticity, new synaptic buds are formed, allowing new connections between neurons, and strengthening the neural network, where the information will be returned as long-term memory.

多亏了这神经可塑性，的突触芽得以形成并在神经元之间建立的连接，从相应神经网络，并形成长期记忆。

During his career, the 75-year-old Hinton has pioneered work on deep learning and neural networks.

在他的职业生涯中，75岁的辛顿在深度学习和神经网络方面开创了先河。

He and his collaborators developed a multi-layered neural network, a deep neural network.

辛顿和他团队共同开发了种多层神经网络即深度神经网络。

Artificial intelligence has reinvented computing, from human coding to machine learning, from software running on CPUs to neural networks running on GPUs, and from following instructions to understanding, reasoning, planning, and using tools.

人工智能重塑了计算逻辑：从人工编码迈向机器学习，从CPU运行软件迈向GPU驱动神经网络，从单纯执行指令，升级为自主理解、逻辑推理、规划决策与工具运用。

Researchers hope that generative AI — neural networks that can create text, images and other content on the basis of learnt patterns — will speed up development and help to unlock antibody drugs for targets that have resisted conventional design approaches.

研究人员希望，生成式人工智能——可以在学习模式的基础上创建文本、图像和其他内容的神经网络——将加速开发，并帮助开发抗体药物，用以针对传统设计方法无法实现的目标。

And this, there's a lot of stuff these days about like, neural networks and machine learning, and AI, and Brilliant gives a really good, accessible introduction to all of those topics.

现在有很多关于神经网络、机器学习和人工智能的内容，Brilliant 为所有这些主题提供了非常好的、易于理解的入门机会。

The next step is to create a model, and this involves selecting an algorithm to analyze the data. There are so many machine learning algorithms out there, such as decision trees, neural networks and so on.

下步是创建模型，这涉及选择种算法来分析数据。那里有很多机器学习算法，比如决策树、神经网络等等。

Somehow, these private medical images ended up online, then in Common Crawl's archive and LAION's dataset, and were finally ingested into the neural networks as they learned about the meaning of images, and how to make new ones.

不知何故，这些私人医疗图像最终出现在网络上，然后被 Common Crawl 的存档和 LAION 的数据集所获取，最终被神经网络吸收，从中学习图像的含义以及如何生成的图像。

" A deepfake is a video where an individual's face has been altered by a neural network to make an individual do or say something that the individual has not done or said."

“‘深度伪造’是指用神经网络将视频中的人脸换掉，使视频里的人做出真人并未做过事，或说出真人并未说过的话。”

The neural network is trained on hundreds of millions of images paired with captions and can translate virtually any text prompt into a relevant image, even seemingly random prompts.

神经网络对数亿张配上字幕的图像进行了训练，可以将几乎任何文本提示翻译成相关的图像，甚至是看似随机的提示。

And when we studied the brains of experienced meditators, we found that parts of a neural network of self-referential processing called the default mode network were at play.

当我们研究资深冥想者的脑时，我们发现了神经网络里面 「自我指认流程」的部分被称为「预设模式的网络」正在产生引响。