Nevada


Could AI Security Prevent Hacks?

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Las Vegas hacking event, the Cyber Grand Challenge was the ultimate, and only, all-machine hacking competition. Each machine identified software vulnerabilities, exploited them and patched their own systems to protect against threats -- all without a human programmer intervening. This article explains the role of automation in IT security and how it could address the skills shortage. We've all heard of the wider IT skills shortage, but the lack of security skills in the industry is even more critical. According to a report by the Life and Times of Cybersecurity Professionals, IT workers that have specialist cyber security skills are approached with a new job offer at least once a week.


Report: Innovative New Controls at PACK EXPO Las Vegas

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NOTE: Controls wasn't the only area of interest at PACK EXPO. CONTROLS INNOVATIONS Two PACK EXPO Las Vegas exhibitors a few aisles apart in the Lower South Hall featured analytics platforms that provide better real-time visibility into the manufacturing process. From Oden Technologies comes The Oden Platform (1). It's a comprehensive industrial Internet of Things analytics platform that provides employees at each level of a manufacturing plant with clear visibility into multiple data sets pertaining to the manufacturing process. Oden helps manufacturers monitor their production process and improve operational efficiency in real time by diagnosing problems that otherwise would have been missed. Oden helps users track performance metrics of multiple assets and accurately predict downtime based on historical data. In addition, by utilizing the platform, manufacturers can reduce bottlenecks at each stage of production and can save costs by eliminating quality issues, waste, and downtime.Photo 1 This platform is designed to help manufacturing units attain the best performance out of their manufacturing assets and leverage artificial intelligence (AI) and machine learning (ML) algorithms to empower prescriptive analytics. This allows employees on the floor to diagnose and mitigate issues as soon as they arise or offer alerts to avoid issues. In a connected manufacturing environment, companies need real-time accurate insights to improve the productivity and efficiency of their production lines. While manufacturers are increasingly willing to adopt manufacturing analytics practices, legacy equipment and limited technical know-how among machine operators are holding them back. In addition, employees on the floor are unable to make the most of the analytics tools at their disposal and are simply not achieving the expected impact on their profitability.


How AI Is Future-Proofing the Cities of Tomorrow

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The concept of "smart cities" is no longer confined to the realms of futuristic science fiction--they're quickly becoming part of our everyday reality. Technologies like self-driving buses that communicate with traffic lights and AI-monitored CCTV cameras are being implemented in cities from Singapore to Las Vegas, and the technology behind these smart-city initiatives promises innovative solutions for both municipalities and their citizens--offering safer and more efficient living for an ever-growing population. The smart-city promise is often delivered without the fine print though: namely, that a single attack waged against just one component of a connected infrastructure could disable an entire smart city in a matter of minutes. The attack could come from a single line of code. This looming threat is turning the promises of revolutionized living standards into a potential menace to public safety.


Data Quality Specialist ai-jobs.net

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At Aptiv, we believe that our mobility solutions have the power to change the world. Our Autonomous Mobility team is focused on developing and commercializing self-driving cars and systems that enable point-to-point mobility in challenging urban driving environments. With talented teams working across the globe in Boston, Pittsburgh, Las Vegas, Santa Monica, and Singapore, Aptiv is the first company to deploy commercial robotaxis to the public. Today, Aptiv has provided over 80,000 autonomous rides to members of the public passengers in Las Vegas -- the world's largest public deployment of self-driving vehicles. In September 2019, Aptiv announced a 50/50 joint venture with Hyundai Motor Group, bringing together HMG and Aptiv's advanced engineering and R&D capabilities, our global footprint, and shared commitment to advancing autonomous driving technology.


Computer Vision Research Engineer ai-jobs.net

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Our real-world mobility solutions are driving us toward a safer, greener and better connected future. Aptiv is providing the "brain" and "nervous system" for vehicles that will change the face of mobility for people worldwide. Aptiv's Autonomous Mobility team is focused on developing, and commercializing autonomous vehicles and systems that enable point-to-point mobility via large fleets of autonomous vehicles in challenging urban driving environments. With talented teams working across the globe, from Boston to Singapore, Aptiv was the first company to deploy a commercial, point-to-point autonomous ride-hailing service based in Las Vegas, Nevada. In November 2017, Aptiv acquired autonomous vehicle software startup nuTonomy, an integral part of Aptiv's Autonomous Mobility team.


Imaging Scientist - Autonomous Driving ai-jobs.net

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At Aptiv, we believe that our mobility solutions have the power to change the world. Our Autonomous Mobility team is focused on developing and commercializing self-driving cars and systems that enable point-to-point mobility in challenging urban driving environments. With talented teams working across the globe in Boston, Pittsburgh, Las Vegas, Santa Monica, and Singapore, Aptiv is the first company to deploy commercial robotaxis to the public. Today, Aptiv has provided over 80,000 autonomous rides to members of the public passengers in Las Vegas -- the world's largest public deployment of self-driving vehicles. In September 2019, Aptiv announced a 50/50 joint venture with Hyundai Motor Group, bringing together HMG and Aptiv's advanced engineering and R&D capabilities, our global footprint, and shared commitment to advancing autonomous driving technology.


Prediction and Behavior Modeling Research Scientist ai-jobs.net

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Our Autonomous Mobility team is focused on developing and commercializing self-driving cars and systems that enable point-to-point mobility in challenging urban driving environments. With talented teams working across the globe in Boston, Pittsburgh, Las Vegas, Santa Monica, and Singapore, Aptiv is the first company to deploy commercial robotaxis to the public. Today, Aptiv has provided over 80,000 autonomous rides to members of the public passengers in Las Vegas -- the world's largest public deployment of self-driving vehicles. In September 2019, Aptiv announced a 50/50 joint venture with Hyundai Motor Group, bringing together HMG and Aptiv's advanced engineering and R&D capabilities, our global footprint, and shared commitment to advancing autonomous driving technology. Come work with leading engineers, research scientists, marketers and business development experts, all while enabling the future of mobility!


Intersection of Cannabis, AI, and Ag Tech Straight Ahead

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Pictured above is a general purpose dual RBG camera system, designed by Carnegie Mellon University researcher George Kantor and his R&D team, to collect high quality images in agricultural environments. Collected images can feed crop-specific artificial intelligence methods that extract measurements such as crop yield, maturity, or disease incidence. Generally speaking, artificial intelligence (AI) enabled technologies are infiltrating every aspect of our daily lives, from the smartphones everyone is carrying around everywhere to places where maybe AI is best left on the sidelines (have you heard about Alexa's newest integration into a connected shower head device?). As you all know, the greenhouse has not been spared from the "AI Revolution" – not in the slightest – and one area we're hearing the technology is making believers out of skeptics is in the legal cannabis space, where high profit margins and a youthful, tech-focused grower demographic creates the perfect storm for early-stage ag tech adoption. If you disagree with that statement, I invite you to spend a day next year at the massive MJBizCon show in Las Vegas, which at this point is basically a smaller, more focused CES show for cannabis producers, and then let me know if you still don't think cannabis growers are all that innovative or on the cutting edge of technology adoption.


Yandex claims 2 million self-driving car miles, double in 4 months

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Yandex claims that its autonomous cars have driven 2 million miles to date, double the figure it reported in October and 4 times the number announced in August. The Russian tech titan revealed the latest milestone in its Q4 2019 financials earlier today. Additionally, Yandex shared for the first time that it has invested $35 million in its self-driving program since its inception, $24 million last year and $9 million in the fourth quarter alone. By way of a brief recap, Yandex's on-demand transport subsidiary, Yandex.Taxi, unveiled its self-driving car program back in May 2017, shortly before it began piloting the vehicles on Moscow roads. In the intervening years, the company has expanded its fleet across Russia and Israel (Tel Aviv) and to the U.S. (Las Vegas).


Odd.Bot, the weed-pulling robot that could eliminate herbicides

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The aging adage, "there's an app for that," is evolving into, "there's a robot for that." More and more automation is finding its way to the market for household chores like cleaning floors, and now that innovation is in farmer's fields with Odd.Bot, an automatic weeding robot. Odd.Bot made an appearance at the Consumer Electronics Show (CES) in Las Vegas last month with an informational booth and the weed-plucking device on display. Martijn Lukaart, Founder and CEO, explains that Odd.Bot is currently intended for use in organic farming fields to make the weed-pulling process easier for large farms who currently do all the work by hand. Many large-scale farmers have already invested in a platform that allows workers to lay face down on a bed as they are propelled through the rows of crops.