To understand how AI will transform the way people, goods and services move, you don’t need to go farther than your desktop.
Over the phone, Andrew Bernas leaves the impression he’s a veteran Silicon Valley software engineer focused on worldwide social causes with a lot of heart.
It was a simple formula: Get a microphone, go to NVIDIA’s GPU Technology Conference, interview as many people as possible about what they’re doing.
The developers behind MixPose, a yoga posture-recognizing application, aim to improve your downward dog and tree pose positions with a little nudge from AI.
When it comes to bringing home the bacon — or sushi or quesadillas — DoorDash is shifting into high gear, thanks in part to AI.
By bouncing laser signals off the surrounding environment, these sensors can enable a self-driving car to construct a detailed and accurate 3D picture of what’s around it.
As the global population ages and diseases such as cancer become more prevalent, demand for keen-eyed pathologists who can analyze medical images is on the rise.
Healthcare researchers and pharmaceutical companies rely on trials to validate new, potentially life-saving therapies for cancer and other serious conditions.
Every so often the scientists, researchers and engineers in high performance computing get a chance to take their work to the next level.
Deciding whether or not to adopt AI within an enterprise isn’t always an obvious choice. And figuring out when and how to implement key AI strategies can leave more questions than answers.
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