Ask a Tech Teacher
FEBRUARY 3, 2023
Technologies like artificial intelligence (AI), machine learning and cloud computing are transforming businesses. To become a machine learning engineer, you will need a master’s degree in computer science or artificial intelligence. They are in demand in the manufacturing and automotive service industries.
Futurum
MARCH 16, 2023
Published: Transportation is about to go electric and drive itself, meaning every car technician will need to understand how artificial intelligence works. Meet Robert Robert teaches college students the skills they need for a successful career in the future automotive industry. What challenges have you had?
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STEM Education Works
JANUARY 24, 2023
My day-to-day involves dealing with warranty claims automotive companies send us, and I investigate circuit board errors for both the hardware and software in these pieces. I don’t see artificial intelligence (AI) taking over our jobs like the news suggests.
STEMe
OCTOBER 15, 2021
Tesla’s first car, the Roadster, was a success in its initial release, but Elon found that the automotive parts for the car were too expensive and everything was too far behind schedule. More recently, he has explored AI (artificial intelligence), becoming the co-chair of the nonprofit company OpenAI and founding his own AI company Neuralink.
Futurum
APRIL 11, 2023
Automotive technology students practise using the data stream generated by a LIDAR device used in many self-driving cars. While many of us think of artificial intelligence (AI) as a tool for the future, it’s rapidly becoming part of our lives. Dr Justin Starr and a student discuss inverse kinematics on a robotic arm.
STEM Education Shopping
AUGUST 26, 2023
These fields are at the forefront of developing cutting-edge technologies like artificial intelligence, renewable energy solutions, smart cities, and autonomous vehicles. By incorporating engineering into STEM education, we are equipping students with the skills they need to tackle real-world challenges.
STEMe
JUNE 5, 2022
The main appeal of quantum computing is its ability to process massive and complex data sets, making it perfect for technology developments related to chemical engineering, aerospace, artificial intelligence, finance, and automotive engineering. All of these can be made more efficient and accurate with quantum computing.
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