Adult career center to host open house Tuesday
In-Demand jobs week showcases the jobs, industries and skills that are in high demand across the state and in this region.
The MCCTC adult career center is holding an open house to let people see what it has to offer.
You can tour the school's labs and facilities, plus meet the instructors. The Adult Career Center will showcase its welding, automotive technology, medical assistant, plus EMT and fire programs. You can even learn about a couple new ones.
'Hannah E Mullins School of Practical Nursing is relocating to our campus,' said Jodi Glass, recruiting and marketing coordinator. 'So they will be here to discuss the practical nursing program. And then also we have a new vet assistant. So those that are interested in working with animals: veterinary assistant is now enrolling now for fall.'
The Open House starts at 6 p.m. Tuesday at the MCCTC Adult Career Center in Canfield.
Copyright 2025 Nexstar Media, Inc. All rights reserved. This material may not be published, broadcast, rewritten, or redistributed.

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This transformation is about redefining the vehicle's core architecture and how it is experienced. In a software-defined vehicle, features and functions are increasingly abstracted from hardware and run in software. To achieve this, some sort of central compute architecture is required – a platform that enables continuous updates, upgrades, and even personalization of the car. This means vehicles require a powerful and scalable electronics architecture based on semiconductors (hardware), efficient and scalable software drivers and middleware to integrate all the electronics, and on top of it intelligent and feature-rich application software to define the functionality of the car. Such an SDV platform manages everything from ADAS (Advanced Driver Assistance Systems) to IVI (In-Vehicle Infotainment). Most importantly, it includes the core vehicle functions to operate and to propel the car, which becomes even more important for electric vehicles where intelligent energy flow and battery management significantly impacts the lifetime and range of the vehicle. This new approach to vehicle compute architecture makes it possible to activate new features after the car is sold, adapt vehicle behavior in real time, and evolve interfaces as technology and user preferences shift – such adaptations are prohibitively complex in traditional vehicles. SDVs therefore enable a completely new value proposition: the car gets smarter and better with age. With the rise of AI, the SDV platform only becomes more critical, with AI-powered ADAS, preventive fault detection or range optimizations, for example, transforming how we use our vehicles. Together, these shifts mark a clear departure from the traditional vehicle lifecycle defined by depreciation and eventual obsolescence. But this evolution brings complexity. Building a car that improves over time – and is ready to integrate the next-generation of AI – requires a fundamental rethinking of design, supply chains, and safety. Processes and priorities that have been in place for decades now need to evolve. Rethinking traditional architectures Traditionally, vehicle functions were tightly coupled to specific electronic control units (ECUs), each often developed by different suppliers. This hardware-centric approach meant that adding or modifying features required changes to the underlying ECU hardware and their specific software modules – making updates complex, time-consuming, and costly. Engineering teams had to navigate a patchwork of tools, processes, and dependencies, resulting in limited flexibility once the vehicle left the factory. In short, the system was rigid, expensive to maintain, and difficult to scale. The SDV concept is creating a platform that can be updated, upgraded, or personalized over time, and also enables carmakers to revolutionize how they develop and produce new vehicles. This concept allows the highest level of hardware and software re-use, which enables carmakers to develop new vehicle platforms a lot faster. Such platforms are inherently scalable. The fundamental architecture can be used across entry-level models right up to high-end models, and it can be scaled across various OEM brands. This drives speed of innovation, faster time to market, and optimizes total cost of ownership. Automakers have started making key decisions about how to evolve their compute architectures to tackle engineering challenges. Some are consolidating multiple domains into centralized compute platforms to streamline processes and reduce complexity, while others are adopting zonal architectures that distribute compute closer to the edge – near sensors and actuators – to improve latency, modularity, and scalability. Regardless of approach, meeting these demands requires more powerful semiconductors, scalable compute, greater energy efficiency, high-bandwidth communication, functional safety, the highest standards of security, and new system-level innovations. From supply chains to ecosystems This transition is also redrawing the lines of the automotive supply chain. The historical model – where automakers, Tier 1s, and semiconductor suppliers operated in a linear hierarchy – is giving way to an ecosystem of strategic collaboration. This shift is driven by the growing realization that vehicle digitization depends not only on the compute, networking, and power management technologies of a vehicle but the software that runs on it. As digital features expand, so does the complexity of integrating hardware and software efficiently across the vehicle – and no one company can do this alone. Delivering that innovation at scale calls for a new model of collaboration – one where automakers, suppliers, and technology partners work in parallel from the start. The development model behind SDVs is no longer a linear supply chain; it's a tightly integrated ecosystem. As vehicle architectures evolve to support software-defined capabilities, NXP is increasingly engaged earlier in the design process – contributing not just silicon, but system-level expertise and software solutions that helps define compute architectures. From vehicle compute and zone controllers to networking and power management, we support OEMs and Tier 1s in building safe, scalable platforms that enable long-term software innovation. Both emerging manufacturers and legacy players should play to their strengths Today's shifts in the industry are impacting automakers in very different ways. New entrants, without the burden of legacy systems, can design vehicles from the ground up with software at the center. Their streamlined product lines and software-native cultures often align more naturally with SDV architecture (as well as today's consumer preferences). However, they may face non-trivial challenges when it comes to scaling production and safety while offering a wide range of models to meet different consumer needs and expectations. Legacy OEMs and automakers, on the other hand, must manage a complex change to manufacturing processes while continuing to support existing platforms and products. Their strengths lie in deep automotive expertise, quality assurance and safety, supply chain management, and manufacturing scale. For these companies, the transition to SDVs must be carefully orchestrated and is often incremental. There's a balance to be struck for traditional manufacturers between increasing agility, playing to existing strengths, and delivering the SDV innovations that consumers increasingly demand. For both emerging and legacy manufacturers, however, several foundations will be non-negotiable: energy efficiency, robustness, cybersecurity, and functional safety to name the most critical. And each will require an increase in testing, validation, and verification across the supply chain. For electric vehicles in particular, energy efficiency is fundamental. After all, every watt consumed by processors and electronic systems is a watt not available for propulsion. 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The road ahead: A smarter and safer industry As SDVs become increasingly widespread, and ADAS, IVI and core vehicle functions grow in sophistication, including anticipation and automation by AI, the auto industry is poised for profound and lasting changes. Underpinning this transformation will be a more collaborative industry – one in which legacy and emerging automakers, OEMs, and vendors work directly with one another. This will help to address the new challenges that arise and tackle them efficiently, safely, and at scale while improving time to market and total cost of ownership. It calls for all stakeholders – from semiconductor and software vendors to system integrators and vehicle manufacturers – to move beyond limited views and build an understanding of the entire system. With the industry working together in this way to build a new approach to vehicle development and functionality, significantly smarter, safer, and more secure vehicles are on the horizon. By Jens Hinrichsen, Executive Vice President and General Manager of Analog and Automotive Embedded Systems, NXP Semiconductors "How software is shaping the future of mobility" was originally created and published by Just Auto, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data