As Formula E prepares for its GEN4 era in 2026, artificial intelligence is emerging as the key technology for transferring race innovations to road vehicles. Dan Cherowbrier, CTO of Formula E, describes AI as the most significant development in the industry since the Internet. With a shift from hardware to software-driven decision-making, future electric vehicles are expected to optimize energy management similarly to how race teams strategize during competitions. This shift is reflected in modern electric motors achieving powertrain efficiencies of 91.5%, prompting manufacturers to differentiate their offerings based on software capabilities. Companies like Tesla and Rivian are now competing on digital experiences, positioning Formula E at the forefront of this transformation.
Formula E Embraces AI to Transform Energy Management in Road Cars
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This week, Google introduced several AI tools and models, including the general availability of Nano Banana 2 and Nano Banana Pro via the Gemini Enterprise Agent Platform and Gemini API. The new Co-Scientist system is designed for structured scientific thinking, generating and refining hypotheses for complex problems. Additionally, dreambeans curates personalized daily topic collections based on connected Google apps. The unified encoder-free model, Gemma 4 12B, offers powerful multimodal intelligence for offline use, while Gemma 4 models have been optimized with Quantization-Aware Training to improve memory efficiency and performance. Google Magenta also launched RealTime 2, an open-weights live music model playable with MIDI keyboards and text prompts.
