Mobility Intelligence and Neurosymbolic Systems

Most of you know our firm from its investments in early-stage AI software startups and as an AI advisor to corporations. Few know about the AI systems we have been developing and how we use them with our corporate customers or in new startups we spin out. Over the past several years we have been working on a class of AI-based mobility intelligence systems that are used for understanding a population’s mobility behavior within a region, such as a neighborhood, a city, or even an entire state. We found that neurosymbolic systems that incorporate generative AI components can be extremely effective in understanding such behaviors and providing their users with mobility intelligence.

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Autonomous Vehicles Employing An End-to-End AI Approach

Robotaxis and autonomoustrucks are the two autonomous vehicle use cases that receive the most attention. AI is a key enabling technology for both. To achieve the determinism required in mobility, #AV software platforms incorporated a combination of statistical and symbolic AI. A new crop of AV startups, led by Wayve and Waabi, received large financing rounds for their “end-to-end” deep neural network approaches similar to those used in generative AI. Could these approaches result in vehicles that are cheaper to produce and operate than those utilizing the approaches used to date, adhere to regulations, and be accepted by autonomous vehicle users?

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Generative AI in New Mobility

AI has three roles in new mobility. It is an enabler, a differentiator, or a monetizer. The recent explosion of interest in generative AI begs the question: could generative AI contribute to new mobility and if so, in which of the three roles? This post attempts to answer this question by presenting a few ideas and identifying problems that may inhibit the broad use of generative AI in new mobility.

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Big Data and AI In New Mobility

AI is viewed by many exclusively as a prediction technology. The availability of large, diverse, and information-rich data sets combined with the power of neural networks, and more recently with the addition of Foundation Models and Large Language Models, has been responsible for achieving incredible results even in complex, multi-faceted situations. Every aspect of new mobility has benefited from AI’s prediction power. New mobility will continue to reap even more impressive rewards. Getting there will be accomplished as new mobility’s AI systems play three roles.

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Will Automakers Become Apple, AT&T, or Foxconn?

During the automotive industry’s current boom phase OEMs are announcing big, multi-year investments in new vehicle platforms that combine electrification with increasing driving automation. Because under new mobility data and loyalty will become central forms of value, OEMs must also consider deploying the loyalty-enhancing data-driven services these platforms enable. The services they introduce and the business models they use to monetize them will determine whether they become like Apple, AT&T or Foxconn in the customer relationships they develop.

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