The current approach for new Advanced Driver Assistance System (ADAS) and Connected and Automated Driving (CAD) function development involves a significant amount of public road testing which is inefficient due to the number miles that need to be driven for rare and extreme events to take place, thereby being very costly also, and unsafe as the rest of the road users become involuntary test subjects. A new development, evaluation and demonstration method for safe, efficient, and repeatable development, demonstration and evaluation of ADAS and CAD functions called VehicleInVirtualEnvironment (VVE) was recently introduced as a solution to this problem. The vehicle is operated in a large, empty, and flat area during VVE while its localization and perception sensor data is fed from the virtual environment with other traffic and rare and extreme events being generated as needed. The virtual environment can be easily configured and modified to construct different testing scenarios on demand. This paper focuses on the VVE approach and introduces the coordinate transformations needed to sync pose (location and orientation) in the virtual and physical worlds and handling of localization and perception sensor data using the highly realistic 3D simulation model of a recent autonomous shuttle deployment site in Columbus, Ohio as the virtual world. As a further example that uses multiple actors, the use of VVE for VehicleToVRU communication based Vulnerable Road User (VRU) safety is presented in the paper using VVE experiments and real pedestrian(s) in a safe and repeatable manner. VVE experiments are used to demonstrate the efficacy of the method.

This year, Samsung is planning to open a semiconductor chip manufacturing plant in Taylor, TX, that will cost the company an estimated 17 billion. Intel is building a 20-billion facility in Columbus, OH, and industry leaders GlobalFoundries, TSMC, and Texas Instruments are building their own so-called chip fabs in the U.S. as well. This construction boom has been spurred in part by increasing demand for the smartphones, personal electronic devices, and Artificial Intelligence (AI) services that depend on chips, and the 50 billion in funding that the 2022 CHIPS and Science Act allocated to American semiconductor manufacturing has proven to be a strong incentive. Yet the boom is global, with new plants being developed all over the world. As companies plan these new chip fabs, one of the first questions they need to answer is where they are going to get their water.

Wendy's, a United States fast food chain, is looking to test having the prices of its menu items fluctuate throughout the day based on demand, a strategy that has already taken hold with ride-sharing companies and ticket sellers. During a conference call this month, Wendy's CEO Kirk Tanner said the Dublin, Ohio-based burger chain will start testing dynamic pricing, also known as surge pricing, as early as next year. "Beginning as early as 2025, we will begin testing more enhanced features like dynamic pricing and daypart offerings along with AI-enabled menu changes and suggestive selling," he said. "As we continue to show the benefit of this technology in our company-operated restaurants, franchisee interest in digital menu boards should increase, further supporting sales and profit growth across the system." Wendy's plans to invest about 20m to launch digital menu boards at all of its US company-run restaurants by the end of 2025.

This research delves into the construction and utilization of synthetic datasets, specifically within the telematics sphere, leveraging OpenAI's powerful language model, ChatGPT. Synthetic datasets present an effective solution to challenges pertaining to data privacy, scarcity, and control over variables - characteristics that make them particularly valuable for research pursuits. The utility of these datasets, however, largely depends on their quality, measured through the lenses of diversity, relevance, and coherence. To illustrate this data creation process, a hands-on case study is conducted, focusing on the generation of a synthetic telematics dataset. The experiment involved an iterative guidance of ChatGPT, progressively refining prompts and culminating in the creation of a comprehensive dataset for a hypothetical urban planning scenario in Columbus, Ohio. Upon generation, the synthetic dataset was subjected to an evaluation, focusing on the previously identified quality parameters and employing descriptive statistics and visualization techniques for a thorough analysis. Despite synthetic datasets not serving as perfect replacements for actual world data, their potential in specific use-cases, when executed with precision, is significant. This research underscores the potential of AI models like ChatGPT in enhancing data availability for complex sectors like telematics, thus paving the way for a myriad of new research opportunities.

No one is safe from AI. The fast food chain will use an artificial intelligence chatbot to take drive-through orders, reports The Wall Street Journal(opens in a new tab). The new chatbot runs on Google's natural-language processing software and is trained to understand customers' orders. It will officially launch in June at a company-owned Wendy's in Columbus, Ohio. Training a chatbot for the drive-through is more complicated than you might think.

At Path Robotics, we're attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another. Our Computer Vision Engineers work to develop, evaluate, and release computer vision algorithms into production software. The role will focus on object recognition, localization, and adaptive filtering.

D. degree, or a Bachelor's degree with three years of related job experience.

As required by the?Colorado Equal Pay Transparency Act, Accenture provides a reasonable range of compensation for roles that may be hired in Colorado. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location. For the state of Colorado only, the range of starting pay for this role is {{$61,600 – $97,199}} and information on benefits offered is here.

Please note, to apply for this position you will complete an application form on another website provided by or on behalf of JPMorgan Chase & Co.. Any external website and application process is not under the control or responsibility of Engineer Job Quest Apply Here Role requiring'No experience data provided' months of experience in Columbus At Abercrombie & Fitch the Delivery & Site Reliability Engineering team is responsible for the availability and performance of our websites and working with dev teams to ensure seamless releases to production. The primary goal of this position is to support dev teams making them more effective and efficient while ensuring the availability and reliability of our applications, services and websites. WHAT WILL YOU BE DOING?

Role requiring'No experience data provided' months of experience in Mountain View