Nvidia CES 2016 press conference
Nvidia is kicking off CES 2016 with a press conference expected to focus on automotive and graphics technology.
3rd & 7 37yd
3rd & 7 37yd
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wayne.cunningham 1/5/2016 2:19:40 AMNvidia GPUs accelerate the progress of Deep Learning
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Lori Grunin 1/5/2016 2:20:14 AM
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Lori Grunin 1/5/2016 2:21:56 AM
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wayne.cunningham 1/5/2016 2:22:00 AMJen-Hsun shows how Deep Learning works into a variety of Nvidia products
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Lori Grunin 1/5/2016 2:22:40 AM
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wayne.cunningham 1/5/2016 2:23:46 AMYour car can go out in the world, encounter new situations, then upload the results to the cloud, sharing its experience with every other car.
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wayne.cunningham 1/5/2016 2:24:47 AMJen-Hsun says the goal is to make Nvidia GPUs essential to every Deep Learning network and application in the world.
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wayne.cunningham 1/5/2016 2:25:16 AMNvidia developed Drivenet over the past few months
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Lori Grunin 1/5/2016 2:25:25 AM
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wayne.cunningham 1/5/2016 2:25:38 AMIt's Nvdiia's own neural network designed specifically for cars.
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wayne.cunningham 1/5/2016 2:26:00 AMNvidia is training this network to identify things in the world.
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wayne.cunningham 1/5/2016 2:26:39 AMAccording to the graph shown, Nvidia has improved Drivenet hugely over five months
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Lori Grunin 1/5/2016 2:27:06 AM
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wayne.cunningham 1/5/2016 2:27:13 AMThe graph represents how accurately Drivenet can identify objects from visual imagery
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wayne.cunningham 1/5/2016 2:27:31 AMMike Huston, senior engineer for mobile and cloud computing at Nvidia, is taking the stage to demo Drivenet
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Lori Grunin 1/5/2016 2:28:06 AM
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wayne.cunningham 1/5/2016 2:28:19 AMWe're seeing a car drive down a road, recognizing other cars parked and on the road
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Lori Grunin 1/5/2016 2:28:23 AM
Mike Houston, principal engineer for mobile and cloud computing at Nvidia
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Lori Grunin 1/5/2016 2:28:38 AM
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wayne.cunningham 1/5/2016 2:29:37 AMJen-Hsun is clarifying that the training to allow this capability took 120 million images
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wayne.cunningham 1/5/2016 2:30:10 AMSorry, 120 million images, and it only took a month
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wayne.cunningham 1/5/2016 2:30:53 AMJen-Hsun is highlighting the speed of Nvidia GPUs in analyzing image datasets.
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wayne.cunningham 1/5/2016 2:31:42 AMFrom simply identifying cars, now the demo shows recognition of pedestrians.
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Lori Grunin 1/5/2016 2:32:13 AM
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wayne.cunningham 1/5/2016 2:32:30 AMNow we have five different classes of objects, including cars, pedestrians and traffic signs.
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Lori Grunin 1/5/2016 2:33:30 AM
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wayne.cunningham 1/5/2016 2:33:39 AMNew demo shows how the computer can recognize each pixel that makes up a person or car
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wayne.cunningham 1/5/2016 2:34:19 AMHere, the car computer can develop a very true image of the world around it
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wayne.cunningham 1/5/2016 2:34:59 AMDemo ramps up the difficulty with new video from Audi, driving in snowy weather on a highway
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Lori Grunin 1/5/2016 2:35:01 AM
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wayne.cunningham 1/5/2016 2:35:40 AMThe Deep Learning processor was able to identify a car in this imagery that humans had a hard time discerning.
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wayne.cunningham 1/5/2016 2:36:11 AMThat was the Drivenet Deep Learning network, which runs on an Nvidia TitanX chip
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Lori Grunin 1/5/2016 2:36:23 AM
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wayne.cunningham 1/5/2016 2:36:28 AMJen-Hsun has the Titan X in his hand how
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Lori Grunin 1/5/2016 2:36:52 AM
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wayne.cunningham 1/5/2016 2:37:51 AMDrivenet on Titan X is a reference platform for object recognition and learning, not the part that goes in the car.
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Lori Grunin 1/5/2016 2:37:59 AM
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wayne.cunningham 1/5/2016 2:38:45 AMTalking about more Audi development of object recognition using Nvidia technology
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Lori Grunin 1/5/2016 2:39:04 AM
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wayne.cunningham 1/5/2016 2:39:10 AMMercedes-Benz is also using Nvidia tech for Deep Learning object recognition
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Lori Grunin 1/5/2016 2:39:39 AM
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wayne.cunningham 1/5/2016 2:39:48 AMZMP, a Chinese company developing a robo-taxi, is using Nvidia tech, as is BMW
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Lori Grunin 1/5/2016 2:39:54 AM
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Lori Grunin 1/5/2016 2:40:06 AM
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Lori Grunin 1/5/2016 2:40:42 AM