Beyond 2024: The impact of AI on automotive

At the event, Mauricio Muñoz, Senior Research Engineer, and leader of the cluster at AI Sweden, delivered a keynote in which he highlighted how the exploding costs of developing frontier AI models, coupled with diminishing performance returns and tighter access to high-quality data is currently shaping the opportunities for AI in the automotive industry. 

Specifically, differentiating research enables scalability in AI adoption, and includes topics such as synthetic data and simulation, training multi-tasking models on proprietary multimodal data, maximizing performance gains while managing resource constraints in the context of embedded AI, and even incorporating reasoning models to tackle long-standing problems of explainability and verifiability of AI for automotive.

After the keynote followed a panel discussion with representatives from the automotive industry.

"One key takeaway is that the road traffic system is a highly complex environment that AI can help interpret to make travel safer. However, the automotive industry could improve its cost/benefit analyses to determine where AI deployment would be most effective. This approach allows us to continue taking incremental steps toward fully self-driving cars, with each step bringing added value." says Mats Nordlund. He continues: 

"There is significant potential for pre-competitive, cross-industry collaboration within the automotive sector. The discussions with our partners will result in a roadmap for the Automotive Cluster, aimed at developing a strategy, establishing a collaboration platform, identifying how to best leverage the partnership, setting up concrete projects, securing complementary funding, and scaling insights through AI Sweden's talent initiatives."

Interested in engaging with the Automotive Cluster?

Get in touch with us by contacting Mauricio!