APPLICATIONS more intelligent, more automated, and increasingly dependent on effective human-machine collaboration.”
Brian points out that, as organisations deploy more AI-powered machines, robots and software systems, they need a common way for people to interact with them.
“ We see a significant opportunity to apply what we’ ve learned in automotive to help define that next generation of human-machine interaction,” he adds.
Cutting through the noise Brian says noise has“ always been one of the hardest problems in human-machine interaction”. For decades, Cerence AI has developed technologies that enable speech systems to perform in environments filled with competing sounds, movement and multiple speakers.
He offers a comparison:“ Imagine driving 70 mph on the highway, windows down, car full of talking passengers, and you’ re telling your vehicle to find you a route to the nearest coffee shop that will also allow you to stop at an EV charging station.
“ The same engineering that enables that type of precise, reliable interaction inside a moving vehicle
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