As cyberattacks become more refined, they will start mimicking our online traits. This will lead to a battle of the machines.
CS Digest Section: Machine Learning and Artificial Intelligence
After less than eight months of development, the algorithms are helping intel analysts exploit drone video over the battlefield.
Scientists from Kyoto developed new techniques of "decoding" thoughts using deep neural networks (artificial intelligence). The new technique allows the scientists to decode more sophisticated "hierarchical" images, which have multiple layers of color and structure, like a picture of a bird or a man wearing a cowboy hat, for example.
There's an emerging discipline in security focused around user behavior analytics that is showing promise in helping to address the threat from outside, while also providing insights needed to solve the people problem. It puts to use new technologies that leverage a combination of big data and machine learning, allowing security teams to get to know their
It's easy to get caught up in the idea that Artificial Intelligence (AI) will be one of two things: our destroyer or our savior. It's time to move beyond this dualistic narrative. The "either or" comparisons create fear or unrealistic expectations, neither of which pragmatically move society forward. Part of shifting this narrative is evolving a new
A considerable number of articles cover machine learning and its ability to protect us from cyberattacks. Still, it's important to separate the hype from the reality and see what exactly machine learning (ML), deep learning (DL) and artificial intelligence (AI) algorithms can do right now in cybersecurity.
Intelligence agencies have a limited number of trained human analysts looking for undeclared nuclear facilities, or secret military sites, hidden among terabytes of satellite images. But the same sort of deep learning artificial intelligence that enables Google and Facebook to automatically filter images of human faces and cats could also prove invaluable in
Eta Compute is trying to make chips that run on so little power that they act almost like neurons in the human brain, running artificial intelligence locally in sensors and other devices.
We've heard of many different uses for AI within the medical field, including for prediction of heart attacks and detection of Alzheimer's. Now, it looks as though machine intelligence could be applied to early detection of cancer as well. A group of Japanese researchers has figured out a way to use AI to spot colorectal cancer tumors before they become
Google is taking hardware seriously after years of experimentation. But it doesn't have a chance at becoming another Apple or Samsung. Instead, Google's hardware division will be used to sneak the company's AI technology into everything else.