Google Introduces Linking to Highlighted Text on Webpages, While Deep Neural Networks Shed Light on Living Brains

Google Introduces Linking to Highlighted Text on Webpages, While Deep Neural Networks Shed Light on Living Brains

Google has recently announced a new feature in Chrome 90 that allows users to create links to highlighted text on webpages. This feature, called "copy link to highlight," is already available on desktop and Android devices for select users and will soon be coming to iOS as well. To use this feature, simply visit a webpage, highlight the desired text, right-click, and select "copy link to highlight." A URL ending with a pound sign () will be generated, which can then be shared with others. This upcoming feature in Chrome 90 aims to make it easier for users to share specific sections of websites that they find valuable or interesting.

In a separate development, deep neural networks have been instrumental in helping us understand the complex workings of living brains. These computational devices, inspired by the neurological wiring of our brains, have provided insights into why different parts of the brain have specialized functions. For example, researchers have discovered that deep networks processing visual information hierarchically, similar to how the brain does, can achieve human-level performance in recognizing objects. This finding suggests that the brain's hierarchical processing of visual information plays a crucial role in object recognition.

Moreover, deep networks have also shown parallels to the brain's auditory and olfactory systems. By incorporating "hidden" layers between the input and output layers, deep neural networks can emulate the brain's learning process. In the case of auditory processing, researchers designed deep nets to classify speech and music. They found that by sharing only the input layer, but segregating into distinct networks for face and object recognition tasks, the deep net achieved similar functional specialization as observed in the human brain. This indicates that deep networks can spontaneously develop specialized processing for different types of stimuli, just like our brains do.

Similar evidence has emerged from research on the perception of smells. When training a deep network to classify simulated odors, the network's connectivity converged on patterns seen in the fruit fly brain, suggesting an optimal solution has been reached. The next step in this line of research is to evolve deep networks that can predict the connectivity in the olfactory system of unstudied animals, which can then be confirmed by neuroscientists.

However, it is important to acknowledge that deep-net models are not a perfect substitute for the complexities of the human brain. While these models have made significant advancements in classification tasks, our brains are capable of much more than categorization. Our brains utilize combinations of generative and recognition models to not only recognize and characterize objects but also infer causal structures inherent in scenes, all in an instant.

In light of these developments, here are three actionable pieces of advice:

1. Embrace the power of linking: With Google's new feature in Chrome 90, take advantage of the ability to create links to highlighted text on webpages. This can be particularly useful when you want to share specific information or insights with others.

2. Explore the potential of deep neural networks: Deep networks have proven to be valuable tools in understanding the complexities of living brains. Consider incorporating deep learning techniques into your research or projects to gain insights into specialized processing and hierarchical information processing.

3. Recognize the limitations of deep-net models: While deep neural networks have made significant strides in various tasks, they are still far from replicating the full capabilities of the human brain. Keep in mind that our brains go beyond mere categorization and utilize generative and recognition models to infer causal structures. Explore ways to integrate these additional elements into your own work.

In conclusion, the introduction of Google's feature for linking to highlighted text on webpages and the advancements in deep neural networks shed light on the potential of technology to enhance our understanding of the brain. By leveraging these tools and recognizing their limitations, we can continue to uncover the mysteries of the human mind and pave the way for further innovation and discovery.