AI @ General Motors

GM revealed advancements in autonomous driving with plans for eyes-off driving by 2028, introduced conversational AI powered by Google Gemini in vehicles, and emphasized transforming supply chain management from reactive to proactive via AI and ML.

• General Motors: Autonomous Driving
• Automotive Fleet: General Motors Highlights Developments in AI, Robotics, Energy and Autonomy at GM Forward Event
• CNBC: GM plans to launch eyes-off driving, Google AI, other tech over next three years
• GM Careers: AI/ML: Designed to Think Forward - GM's Supply Chain Transformation

GM focused on practical AI innovations for efficiency, safety, and quality at scale, strengthened its global supply chain with AI-based proactive management tools, and formed a Silicon Valley AI team to accelerate AI-driven manufacturing, vehicles, and motorsports.

• Axios: GM's AI vision: Less sci-fi, more practical innovation
• Business Insider: AI adoption is growing in the automotive industry. General Motors embraces AI to improve production and marketing
• Assembly Magazine: How GM is Using AI to Strengthen its Global Supply Chain
• CBT News: GM recruits elite AI team to improve efficiency and innovation

GM further leveraged AI to boost quality, safety, and operational efficiency throughout its automotive plants, reinforcing ongoing AI-driven transformation.

• Tech Brew: How GM is using AI to boost quality, safety, and efficiency in auto plants

GM significantly accelerated AI adoption hiring Chief AI Officer Barak Turovsky, launched AI-driven quality control and manufacturing automation, expanded AI partnerships with NVIDIA, and used AI to optimize EV charging station deployment.

• Forbes: GM Develops New AI-Driven Quality Control Tech
• Reuters: GM hires chief AI officer for new role
• NVIDIA Newsroom: General Motors and NVIDIA Collaborate on AI for Next-Gen Vehicle Experience and Manufacturing
• Inspenet: GM uses AI to expand EV charging infrastructure in the US

GM expanded AI application in vehicle software testing and safety, motorsports, and operational centers, running intelligent tests continuously, and coordinating AI use in racing.

• General Motors: How GM uses AI to improve vehicle software – and safety
• Work Truck Online: How GM Uses AI to Enhance Vehicle Software and Safety
• MotorTrend: How General Motors Is Using AI To Win Big at the Racetrack

GM employed predictive AI tools including supply chain mapping and real-time event monitoring to boost supply chain resiliency.

• Automotive Logistics: How GM is boosting resiliency through predictive AI tools

GM focused on building a data factory to improve cross-functional AI and machine learning projects, aiming to break down silos and leverage generative AI technologies.

• Constellation Research: GM builds its data factory, eyes genAI

GM was highlighted for AI use cases including enhanced driver assistance systems, showcasing AI impact on safety and vehicle capabilities.

• Emerj AI Research: Artificial Intelligence at General Motors

GM announced a broad partnership with Google to explore AI technologies for automotive applications, further advancing AI integration in vehicle platforms.

• Global Training Center: General Motors Partners with Google to Explore AI Technologies

Jeff Abell from GM emphasized upskilling workforce in industrial AI expertise to enhance adoption and operational efficiency.

• Automate: Upskilling the Workforce in Trained AI Expertise with General Motors' Jeff Abell

GM partnered with Untether AI to develop next-generation autonomous vehicle perception systems leveraging in-memory computation technologies for enhanced processing.

• Untether AI: Untether AI and General Motors to Develop Next-Generation Autonomous Vehicle Perception Systems

GM licensed the revolutionary AI system MENNDL from Oak Ridge National Laboratory (ORNL) to optimize convolutional neural networks for automotive pattern recognition tasks.

• ORNL: ORNL Licenses Revolutionary AI System to General Motors