It may take several years or even decades, but hackers won't necessarily always be human. Artificial intelligence -- a technology that also promises to revolutionize cybersecurity -- could one day become the go-to hacking tool. Organizers of the Cyber Grand Challenge, a contest sponsored by the U.S. defense agency DARPA, gave a glimpse of the power of AI during their August event. Seven supercomputers battled each other to show that machines can indeed find and patch software vulnerabilities. Theoretically, the technology can be used to perfect any coding, ridding it of exploitable flaws.

AImotive, formerly AdasWorks, is the leader in AI-powered motion. AImotive delivers a full stack technology solution and powerful Artificial Intelligence software for the automotive industry, designed to provide self-driving vehicles better safety and increased productivity. How does your self-driving technology work? AImotive products deliver the robust technology required to operate self-driving vehicles in all conditions, and can be adapted to different driving styles and cultures. AImotive enables OEMs to move faster and more efficiently into fully autonomous car production.

The thing is, an Israeli company contracted by their government is planning to use exactly this sort of thing for profiling potential criminals, and yes that's mad. As to the correlation, in psychology there is a known cognitive bias called "the horns effect". It describes that a person who has ugly or anger-like features will be considered bad by default, and in at least partial ways treated as such. Being treated more negatively throughout one's life has obvious effects. However, someone can wear the same face for decades without murdering anyone, or wear the same face for decades after redeeming oneself, so all this is is unreliable prejudice. And as I originally pointed out: The issue may easily be due to a biased training set with photos of incarcerated criminals ordered to pose vs normal people asked to pose.

Ben Dickson is a software engineer and the founder of TechTalks. More posts by this contributor: Blockchain has the potential to revolutionize the supply chain Why it's so hard to create unbiased artificial intelligence Blockchain has the potential to revolutionize the supply chain Why it's so hard to create unbiased artificial intelligence Why it's so hard to create unbiased artificial intelligence While machine learning is introducing innovation and change to many sectors, it also is bringing trouble and worries to others. One of the most worrying aspects of emerging machine learning technologies is their invasiveness on user privacy. From rooting out your intimate and embarrassing secrets to imitating you, machine learning is making it hard to not only hide your identity but also keep ownership of it and prevent from being attributed to you words you haven't uttered and actions you haven't taken. Here are some of the technologies that might have been created with good-natured intent, but can also be used for evil deeds when put into the wrong hands.

CIOs and those charged with running IT Operations are challenged to deliver secure, audited, and reliable compute environments for the applications and data for the business. Behind the scenes these tasks are often accomplished by following onerous time-consuming processes and often the management of these environments and processes will be outsourced to multiple IT service providers. In addition, the division of work is often siloed into traditional "towers" that are not well integrated for cross-functional purposes. So, when traditional IT Service Management (ITSM) meets the cloud, and equally, DevOps, there is invariably going to be conflict. As a factor of IT Transformation and Digital Transformation, IT no longer stands alone - or at least in a modern workplace it should not stand alone - it is the hub through which all other business services will see their efforts delivered.

The hottest ticket in tech is an invitation to a banal South Florida business park, indistinguishable on the outside from countless other office buildings that dot America's suburban landscape. Humanoid robots walk down the halls, and green reptilian monsters hang out in the lounge. Cartoon fairies turn the lights on and off. Even the office equipment does the impossible. The high-definition television hanging on the wall seems perfectly normal. Incredibly, it is now levitating in midair. Get as close as you'd like, check it out from different angles.

Just like nuclear physics, machine learning, AI, and data science can be used either for the better of for the worse. You can make either useful energy or terrible bombs using nuclear fission. The same applies to machine learning, and in my example below, it gets even worse than Hiroshima or Nagasaki. Here I am discussing a potential use of machine learning in military operations. The scenario below is entirely hypothetical.

The duo and its initial team was involved in deep research in image analysis using computer vision. They were certain that visual content was going to be pervasive across apps and websites. "With our proprietary research in hand, we set about thinking of how information available in images can be used to improve the customer experience. We decided to focus on fashion eCommerce which primarily uses images to engage and inspire their audiences."

Connected devices and the industrial internet are growing exponentially every year with Cisco expecting 50 billion devices to be in operation by 2020. In this period of growth, location-based insights are becoming invaluable to many businesses as they adopt new connected technologies. Knowing when and where these devices connect from is critical for a number of scenarios in supply chain management, disaster management, emergency response, M2M, location marketing and more. In his session at @ThingsExpo, Mario Proietti, CEO of LocationSmart, discussed how Internet connectivity enables location-based services to take advantage of everything available on the World Wide Web and how this data helps expand the possibilities for how we communicate, collaborate and commute. Speaker Bio Mario Proietti is the CEO of LocationSmart, a mobile engagement platform for workers, assets and consumers.

While robots have the potential to be very intelligent, if there's one thing that books, movies, and even our own experiences have shown, it's that they also can be remarkably dumb. So one sure-fire way for the U.S. to continue leading the robotics world is by investing in education. Not only are these machines getting smarter every day, but so too are other countries, training the kind of workers required to operate robots that can coat cars on assembly lines with paint and produce sneakers faster than ever. That's one takeaway from a new report released Monday by a group of 120 robotics experts. Intended to brief the U.S. government on the state of robotics so that the government can better plan for the future, the Roadmap to Robotics report is sponsored by the National Science Foundation (as well as a few universities) and written by experts from the private sector as well as academic institutions like like Carnegie Mellon, Georgia Institute of Technology, University of California, Berkeley, and Yale.