Cybersecurity was the virtual elephant in the showroom at this month's Consumer Electronics Show in Las Vegas. Attendees of the annual tech trade show, organized by the Consumer Technology Association, relished the opportunity to experience a future filled with delivery drones, autonomous vehicles, virtual and augmented reality and a plethora of "Internet of things" devices, including fridges, wearables, televisions, routers, speakers, washing machines and even robot home assistants. Given the proliferation of connected devices--already, there are estimated to be at least 6.4 billion--there remains the critical question of how to ensure their security. The cybersecurity challenge posed by the internet of things is unique. The scale of connected devices magnifies the consequences of insecurity.
It's hard to remember the days when artificial intelligence seemed like an intangible, futuristic concept. This has been decades in the making, however, and the past 90 years have seen both renaissances and winters for the field of study. At present, AI is launching a persistent infiltration into our personal lives with the rise of self-driving cars and intelligent personal assistants. In the enterprise, we likewise see AI rearing its head in adaptive marketing and cybersecurity. The rise of AI is exciting, but people often throw the term around in an attempt to win buzzword bingo, rather than to accurately reflect technological capabilities.
Software star-up, Z Advanced Computing, Inc. (ZAC), has received funding from the U.S. Air Force to incorporate the company's 3D image recognition technology into unmanned aerial vehicles (UAVs) and drones for aerial image and object recognition. ZAC's in-house image recognition software is based on Explainable-AI (XAI), where computer-generated image results can be understood by human experts. ZAC – based in Potomac, Maryland – is the first to demonstrate XAI, where various attributes and details of 3D objects can be recognized from any view or angle. "With our superior approach, complex 3D objects can be recognized from any direction, using only a small number of training samples," says Dr. Saied Tadayon, CTO of ZAC. "You cannot do this with the other techniques, such as deep Convolutional Neural Networks (CNNs), even with an extremely large number of training samples. That's basically hitting the limits of the CNNs," adds Dr. Bijan Tadayon, CEO of ZAC.
Artificial intelligence (AI) is already affecting our lives in many ways. From intelligent video curation on Alphabet's (NASDAQ:GOOG) (NASDAQ:GOOGL) YouTube and Google web search to Apple's (NASDAQ:AAPL) Siri personal assistant, AI is already making our lives easier. AI can also help corporations and customers fight against rapidly evolving cyberthreats. For instance, FireEye's (NASDAQ:FEYE) Helix cybersecurity platform is able to automate threat detection and prevention with the help of this emerging technology. The early adoption of AI by Alphabet, Apple, and FireEye could help them steal a march over rivals.
Artificial intelligence (AI) is rapidly finding applications in nearly every walk of life. Self-driving cars, social media networks, cybersecurity companies, and everything in between uses it. But a new report published by the SHERPA consortium – an EU project studying the impact of AI on ethics and human rights – finds that while human attackers have access to machine learning techniques, they currently focus most of their efforts on manipulating existing AI systems for malicious purposes instead of creating new attacks that would use machine learning. The study's primary focus is on how malicious actors can abuse AI, machine learning, and smart information systems. The researchers identify a variety of potentially malicious uses for AI that are well within reach of today's attackers, including the creation of sophisticated disinformation and social engineering campaigns.