A Reverse Engineering of the “Alpha” Part Of A Dog’s Brain to Discover Nascent Abilities

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How AI Can Help Authoritative & Innovative Writing

Many new startups are dedicated to making life easier for the modern writer. A few are working on artificial intelligence based content-generation platforms that can help write articles, blog posts and business emails in a fraction of the time it would take an actual human being to do so. Other companies are bringing natural language processing to their word processor software, which helps isolate and highlight key ideas in a text. Yet others offer intelligent writing assistants that suggest possible topics or frameworks for articles while the author is typing. Perhaps the most ambitious startup in the writing space, Grammarly, is a natural language processing tool that can detect more than 250 types of error in written text.
With all of these automated tools available, no longer will writers have to struggle with their grasp of language to complete a project. Rather, machines now stand ready to do much or all of the work while they focus on the creative aspect of their job. Even as artificial intelligence is making life easier for the writer, it is producing more authoritative and innovative writing by automating all of the tedious, time-consuming parts of the process. At the same time, AI is helping to make our writing more original and authentic by transferring your voice and style into computer code.
You can read more about AI writer technology at http://grammarly.com/features/ai/ .

angela and glenn are deciding
angela and glenn are deciding

What is a Neural Network and Why it is So Popular in Artificial Intelligence?

A “Neural Network” (NN) is an interconnected group of neurons that can be trained to do some specific task, like identifying whether a picture shows a mountain or a dog. Today’s neural networks can accomplish amazing tasks, but they’re still very basic in comparison to the human brain. The connections between neurons are simple, but they can be triggered to act in very complex ways.
Our brains do not process information linearly. Our brains process information in something called the power law: how long one process takes depends on the length of the other processes. For example, when I see a yellow cat and then a blue car, my brain has to resolve “cats” vs “cars”. It doesn’t take as long to do this as it does to see them separately.

angela and glenn are deciding
angela and glenn are deciding

How Neural Networks Understand Ideas & Learn Language

Neuroscience research is demonstrating that our brains are nothing like a random assortment of interconnected neurons. Instead, our brain has feedback loops, which are connections from one part of the brain to another, which connect and help control many other parts of the brain. These connections between neurons can be thought of like a network of routers, each one taking an input and then gating it to the appropriate output via an intermediate neuron. The brain is a neural network.
The “neuronal structure” is a measure of how much the brain resembles a network that can be imagined from mathematical modeling. The larger and more sophisticated the structure, the better our mind can cope with complexity. The human brain has the largest neural structure ever observed in an organism, and yet it has plenty of ways to learn more complex skills.
Neuroscientists have discovered that the brain maintains a dynamic balance between the activity of its neurons, which are constantly firing and re-firing in a way that is useful to us humans. Our minds think and learn by continually adjusting our perceptions and beliefs, in ways that are sometimes helpful and sometimes not; but our brains can learn new things when we make a mistake.
Nerve impulses are propagated from one neuron to another through “connections” between neurons. Each connection is like a digital circuit that carries a signal from one neuron to another. Some neurons send out “swarm” signals that influence other neurons that do not directly receive the input. This phenomenon is termed “spreading activation.”

angela and glenn are deciding
angela and glenn are deciding

Why Should You Use an AI Writing Assistant Today? Which One? And Why?

Many new startups are dedicated to making life easier for the modern writer. A few are working on artificial intelligence based content-generation platforms that can help write articles, blog posts and business emails in a fraction of the time it would take an actual human being to do so. Other companies are bringing natural language processing to their word processing and content-generation apps.
The question is, how can you, as a writer, find an article generation assistant that works for your needs? How does one evaluate such a service? Do these tools really help to produce better writing? Are they worth the money? What are some of the best programs and services right now?
Let us take a look at some of these questions and see what AI-driven content-generation platforms have to offer to writers in the modern world.
The Importance of Content Marketing
More than ever before, writers are expected to produce top-quality content for their audiences. In today’s digital world, it is becoming increasingly difficult to get noticed by readers if you don’t do a good job of communicating the right message. You need content that your readers want to read, and you also need content that attracts the right audience.

angela and glenn are deciding
angela and glenn are deciding