Drive, She Said: AI's Car Trip

The Intel International Science and Engineering Fair has a winner: Ionut Budisteanu of Romania received the Gordon E. Moore Award. He gets to take home the $75,000 prize package as the first-place champ for creating a model of a low-cost, self-driving car that uses artificial intelligence.

Ionut used a low-res 3-D radar and mounted webcameras for an autonomously controlled car that uses AI to detect traffic lanes and curbs, along with the real-time position of the car. The cost? Just $4,000, according to Intel's announcement of the winners. That’s tens of thousands of dollars less than Google, which reportedly relies on costly high-res 3-D radar, and luxury car companies can do it for.

But that’s not the only AI-related development in the vehicles space in recent days.

Global automotive supplier Visteon late last week introduced an AI-enhanced driving experience delivered via its new HABIT system. According to the company, HABIT (HumAn Bayesian Intelligence Technology) uses machine learning to gain knowledge about a driver on a continuous basis, as it processes his or her choice of climate temperatures, radio stations, cell phone tendencies and other unique behaviors or tastes related to time of day or temperature.

From there, it does things like tweak the vehicle temp automatically or pick the right sound track to suit personal tastes and patterns, tailored to what it knows about the driver’s preferences for that hour and weather.

Visteon says its research shows that more than 70 percent of respondents to a had a positive initial reaction to HABIT. Respondents, it says, liked the anticipatory learning of the system and the natural voice interaction. See it in action here: