University of Arizona electrical and computer engineering researchers are training a future cybersecurity workforce and creating bioinspired methods for keeping computers secure.
Today, the average American leaves the house with a smartphone that has more computing power than the systems that landed humans on the moon. The Internet of Things (IoT) enables refrigerators to tell you that you’re running out of milk and cars to provide assisted driving. The reality is that the knowledge economy is in full swing, and the modern world’s relationship with technology has advanced to a state where nearly all aspects of our daily lives are touched by the internet.
The cost of data breaches will rise from $3 trillion each year to more than $5 trillion in 2024, an average annual growth of 11%, says a new report from Juniper Research.
In today’s dynamic environments, risk must be proactively managed. However, lack of sufficient intelligence can make it impossible to get ahead of threats and breaches. Fortunately, artificial intelligence (AI) has emerged as a valuable tool in augmenting physical security with a more proactive approach.
Artificial intelligence (AI) and machine learning (ML) are being heralded as a way to solve a wide range of problems in different industries and applications, such as reducing street traffic, improving online shopping, making life easier with voice-activated digital assistants, and more.
The future of Artificial Intelligence (AI) depends on many factors. Advancements in computing power and the implementation of regulations are just two external influences that could significantly impact what AI will be able to do in the years to come. Before we get to the exciting future uses, however, it’s important to understand exactly where we are today. And that’s not as clear as it should be.
It’s helpful to reflect on where we are now versus where we are going. Today, there is still more discussion about what might be possible than actual physical products on the market. Much of the conversation centers on practical ways to utilize deep learning and neural networks and how these techniques can improve analytics and significantly reduce false-positives for important events.
It is hard to believe that Global Security Exchange (GSX) 2019 is almost here. This year, it is anticipated that conversations will take a deeper dive into more intelligent security strategies and what their role is in the development of smarter infrastructures. Advanced security applications and data-enabled insights are a few main topics that will be top of mind for participants and attendees at GSX 2019.
Sen. Chuck Schumer sent a letter to the FBI and the FTC expressing his concerns with FaceApp, a mobile software application headquartered in Russia that uses artificial intelligence to alter users' images to make them look younger or older.
