Deep learning is a term that you are most likely hearing often. We have entered into an advanced age of technology and there are a lot of questions circulating around this subject. What is deep learning? Is it artificial intelligence? When will we see more evidence of AI integrated into our lives? The answer is, yes it is a branch of artificial intelligence and it is already here. You are witnessing artificial intelligence more than you may be aware of. The revolution of artificial intelligence is here and many of you are wondering how it works. Deep learning is a field of artificial intelligence machines that can complete tasks that typically require human intelligence. This is an amazing way to revolutionize our world with a new technology that will eliminate mistakes and automate organizations.
The Brain And How It Works
The term “deep learning” derives from the artificial neural networks, which are algorithms, inspired by the human brain that learns from our data. “The brain” is a cognitive software that is programmed to build and learn with capabilities similar to the human brain. Deep learning is a training system which is a branch of machine learning. Neural networks (the brain) implement deep learning. It is very fascinating to think about that with our brains and our programming, we were able to create cognitive hardware technology that mirrors ours. Our brains created a brain for multiple uses. Neural networks start with three layers of neurons:
the input layer– where the data enters the system
the hidden layer– where the information is processed
output layer- where the system makes a decision
Of course, the neural networks can and will be more complex than this and the possibilities are quite infinite. Whether it’s three layers or more, information flows from one layer to another, just like in the human brain.
As humans, before we make any decisions, we take into account the weight of the factors of those decisions. For example, If I was going to book a vacation, I would decide where I was going to go depending if it aligned with the time I could go. My time of departure carries the most weight when I am making plans for my vacation. Deep neural networks identify thought patterns such as these within our data. With algorithms that read and build an understanding based on data, the brain can predict and foresee factors that hold the most weight and after, make a decision it was programmed to. In tech terms, connections between neurons are associated with a weight, dictating the importance of the input value.
Examples Of Deep Learning That You Have Already Experienced
“Alexa, play Sweet Caroline by Neal Diamond”. “Siri, what’s the weather looking like today?” Sound familiar? Alexa and Siri are prime examples of deep learning that most of us experience daily. Alexa is a virtual assistant for amazon who exists through Amazon products and Siri is a virtual assistant that exists through Apple products. These AI assistants, who we have put a name with their brains, use deep learning to understand our speech and even show us possible dining and shopping locations as well as music that we might like to listen to.
Have you ever taken a picture on your cell phone and edited it? Have you ever clicked the icon that automatically adds brightness or darkness? That feature is automatic and is also an example of deep learning. This feature is not just present on phones, but also on any photo editing tool.
Deep learning is being used for facial recognition not only for security purposes through cell phones, but for tagging people on Facebook posts. It is also deep learning that you have to blame for the online advertisements that haunt you with items that you have searched for in your web browser.
AI and cybersecurity
Artificial intelligence offers a groundbreaking element to cybersecurity. Neural networks, “the brains” of the operation, can be programmed to proactively threat hunt, detect, and block incoming cyberattacks before they attempt to breach your network. AI gathers insights and uses reasoning to identify the relationships between threats, such as malicious files, suspicious IP addresses or insiders. This analysis takes seconds or minutes, allowing security analysts to respond to threats up to 60 times faster. After collecting it’s data, the brain will also be able to predict incoming malicious threats, keeping you secure without any detection of a threat on your end. Deep learning cybersecurity agents can be installed onto your endpoint devices such as computers, tablets, and cellphones.
A new age of cybersecurity is here to autonomously hunt, prevent, and predict cyber threats. It is artificial intelligence. Just like any new technology, the masses may be either skeptical or excited but most of all, they should be informed. To inquire about how deep learning cybersecurity solutions for your organization, contact your trusted team of cybersecurity experts at AGT.