09:18PM EST – NVIDIA has one of the major keynotes for the CES show
09:18PM EST – Set to start in just over 10 minutes
09:18PM EST – We expect to see Jen-Hsun Huang on stage talking GPU, Automotive
09:19PM EST – Ian on text, Billy on photos
09:23PM EST – While NVIDIA has done CES keynotes for several years now, this is the first year that they are giving the „prime“ keynote. The most important and well-attended of the show’s keynotes
09:24PM EST – For a number of years Microsoft held this slot. Since then it has shuffled among product manufacturers
09:25PM EST – Venue is filling up – being a main CES Keynote means a couple thousand people
09:26PM EST – What makes the opening\/prime keynote so important is that the Consumer Electronics Association likes to set the tone of the overall show with the keynote. So for NVIDIA this is a very big deal; it may be many years where they have another keynote this well attended
09:26PM EST – Some familiar faces in the crowd too
09:27PM EST – In terms of press, that is (GTC fills a larger space, but it’s largely developers)
09:27PM EST – 5 minute warning
09:27PM EST – Ryan will be adding commentary
09:33PM EST – Here we go
09:33PM EST – Starting with a 50-years-of-CES video
09:36PM EST – ‚The magic of CES is that there’s always something that blows your mind‘
09:37PM EST – Gary Shapiro, CEO of CES Assoc, to the stage
09:37PM EST – Introducing Jen-Hsun Huang
09:37PM EST – ‚Gaming is the largest entertainment business in the world‘
09:38PM EST – ‚When NVIDIA invented the GPU…‘
09:38PM EST – ‚NVIDIA is at the forefront of artificial intelligence‘
09:39PM EST – JHH to the stage
09:39PM EST – In his usual leather jacket, of course
09:41PM EST – Video showing ‚the promise of AI‘, robots, and future things
09:42PM EST – ‚Our imagination opens up amazing new worlds, NVIDIA brings them to life‘
09:42PM EST – ‚What comes next?‘
09:42PM EST – Video over
09:42PM EST – JHH : ‚We are going through the most exciting time ever in computing‘
09:43PM EST – NVIDIA is dedicated to a model of AI and vision computing
09:43PM EST – ‚We dedicate ourselves to tackle the most challenging computing problems in the world‘
09:43PM EST – ‚We love video games – the highest volume, the most computationally intensive actiont the world has ever known‘
09:44PM EST – ‚Our technology is also used in the cloud, building AI supercomputers‘
09:44PM EST – ‚Also, the most exciting: self driving cars and autonomous vehicles‘
09:45PM EST – ‚Researchers working on deep learning meant the big bang of AI happened‘
09:45PM EST – ‚It allows software to write software‘
09:45PM EST – ‚Allows the computer to recognize complex patterns‘
09:45PM EST – ‚Representing complex patterns from sets of layers of simpler patterns‘
09:46PM EST – ‚Edges, contours, features, then finally a face‘
09:46PM EST – ‚It needs to deal with variability‘
09:46PM EST – ‚Deep learning is the key‘
09:46PM EST – ‚This foundational technology is difficult – the handicap is the amount of data processing is enormous
09:47PM EST – ‚Then the AI researchers met the GPU, and the achievements have been fast and furious‘
09:48PM EST – ‚A network has to learn context too‘
09:49PM EST – ‚Reinforcement learning through trial and error meant a network could learn to walk by itself‘
09:49PM EST – ‚The ability to percieve the world through technology‘
09:50PM EST – ‚the enabling technology behind all of this is GPU computing‘
09:50PM EST – ‚Geforce – the #1 gaming platform, 200m geforce gamers, 2x revenue in 5 years‘
09:51PM EST – ‚Before anyone gets a console, they have a PC‘
09:51PM EST – ‚Our market moves forward by the content being produced‘
09:51PM EST – ‚VR is coming‘
09:52PM EST – ‚Gaming is the worlds largest sporting event – 100M MOBA Gamers, 325M eSports Spectators‘
09:52PM EST – ‚MOBA is a game of strategy, teamwork, knowledge, hence why it gets so many spectators‘
09:53PM EST – ‚Streaming is now a $5b industry‘
09:53PM EST – Announcing Geforce Expereince connects to Facebook Live
09:54PM EST – Capture a video image\/stream direct to Facebook, as well as live broadcast
09:54PM EST – Connect via two clicks to facebook
09:54PM EST – Aaryn Flynn to the stage, general manager for Bioware
09:54PM EST – they’re going to show footage of Mass Effect Andromeda
09:55PM EST – ‚Mass Effect has a great story‘
09:56PM EST – ‚The people watching are going to tear down every frame of this upcoming preview‘
09:57PM EST – ‚Real in-game footage with a GTX1080‘
09:57PM EST – Video now
09:58PM EST – Yup, it looks like Mass Effect
09:58PM EST – definitely engine footage
09:58PM EST – shooting flames from the hand
09:58PM EST – guns
09:59PM EST – (I’ve only ever played the first Mass Effect at any length, and that was what, a decade ago?)
09:59PM EST – ‚Captured in engine, representative of game experience‘
09:59PM EST – March 21st release date
10:01PM EST – ‚1 billion PC users are not game ready‘
10:01PM EST – ’no real way of installing a GPU into those PCs‘
10:02PM EST – ‚if we could put a PC into the cloud, like AWS, then consumers could game easier‘
10:02PM EST – e.g. GRID using Pascal
10:02PM EST – ‚Launch a game wherever, whenever‘
10:02PM EST – ‚Any latency ruins the experience‘
10:03PM EST – Announcing GeForce Now for PC: Gaming on Demand
10:03PM EST – Turns any of your PCs into your most powerful gaming PC
10:03PM EST – Giving an example, PC laptop and a Mac
10:04PM EST – NVIDIA has been offering streaming for a few years now, both gaming and their virtualized desktop GRID solution
10:04PM EST – Launching Steam on GeForce Now on the PC, takes about 15 sec
10:05PM EST – A few more seconds, and your personal steam account is there
10:05PM EST – Also works on the Mac
10:05PM EST – All the same games from your personal account
10:05PM EST – You can buy a game in the interface, and games are downloaded in a minute
10:06PM EST – Running Rise of the Tomb Raider on the Mac
10:06PM EST – At a reasonable quality too
10:07PM EST – ‚Video Games for the other billion users‘
10:07PM EST – Available in March for early users
10:07PM EST – The current iteration of GeForce Now served up to NVIDIA’s mobile devices is very game-centric. That is to say, you buy the games through the service
10:07PM EST – $25 for 20hrs of play
10:07PM EST – ‚A gaming PC on demand‘
10:07PM EST – Several grades of performance, the more performance = lower time per $25 credit
10:08PM EST – That they’re instead offering a virtual machine on demand that can link into your Steam account is a significant shift in how the service is offered
10:08PM EST – Note, you also have to personally buy the games on Steam
10:08PM EST – I wonder if it counts the time you’re not in a game
10:08PM EST – Now Android TV
10:08PM EST – But the lack of Steam integration has always been a friction point with GeForce Now. Customers don’t want to buy a game twice
10:08PM EST – ‚With a powerful computer connected to a store to running applications, an Android TV Console: NVIDIA Shield‘
10:09PM EST – On the other hand, now they need to pay for service by the hour, as opposed to GeForce Now’s flat costs
10:09PM EST – ‚The performance is always getting richer‘
10:09PM EST – Announcing a New Shield, supporting 4K HDR
10:10PM EST – Worlds first entertainment platform to support Netflix and Amazon content in 4K HDR
10:10PM EST – A steam for shield, that connects to your PC, to enjoy 4K gaming on your TV from the PC
10:10PM EST – 1000 games in the NVIDIA shield game store
10:11PM EST – The two most popular consumer electronic platforms are Smart TVs, but the other is the Amazon Echo
10:11PM EST – ‚It brings AI into your home‘
10:11PM EST – ‚We thought, why have two devices when you can have one‘
10:11PM EST – ‚We worked with Google to create the worlds first TV with Google Assistant‘
10:12PM EST – ‚Now the TV can be controlled by natural language interaction‘
10:12PM EST – Doesn’t AppleTV already do that?
10:12PM EST – ‚You shouldn’t have to lean over to a table to talk to the TV‘
10:13PM EST – To be fair, the AppleTV requires a remote to do that. NVIDIA is suggesting an ambient assistant
10:13PM EST – Announcing NVIDIA Spot
10:13PM EST – Plugs directly into the wall
10:13PM EST – because the computing is done on shield, can have them installed over the house
10:13PM EST – far field microphone
10:14PM EST – voice triangulation via beamforming if multiple devices pick you up
10:14PM EST – all goes to one SHIELD over WiFi
10:14PM EST – Now a video for Spot
10:15PM EST – a guy in the video saying ‚OK Google‘ a lot
10:15PM EST – Seriously, this video just shows how ‚OK Google‘ is too many syllables
10:16PM EST – NVIDIA Home AI = Google Assistant + Smart Things + SPOT
10:16PM EST – ‚We should build Jarvis for everyone‘
10:17PM EST – new SHIELD for $199, pre-order now, available later January
10:17PM EST – SPOT to be released in the coming months
10:17PM EST – Now, AI for transportation
10:18PM EST – $10T transport industry
10:18PM EST – $199 is also where the last-generation Shield Android TV launched
10:18PM EST – 1B cars, 20m taxi rides\/day, 1.2T miles from trucks a year, 500k buses in operation
10:19PM EST – ‚The amount of waste in the transport industry is huge‘
10:19PM EST – >so self driving helps reduce waste
10:20PM EST – JHH is basically saying self-driving cars helps reduce waste
10:21PM EST – ‚GPU Deep Learning has made it possible for us to realise the self-driving vision in the next year‘
10:21PM EST – ‚Perception, Reasoning, Driving, HD Mapping, AI Computing‘
10:21PM EST – ‚Will deep learning we can percieve the world, rather than just sense it‘
10:22PM EST – ‚We can teach a car to drive by watching a human driver‘
10:23PM EST – ‚We can compare perceptions live with knowledge in the cloud to act, and you can keep learning‘
10:24PM EST – ‚Xavier AI Car Supercomputer: 8-core custom ARM64, 512 core Volta, 30 TOPs DL, 30W‘
10:24PM EST – Announced last year
10:24PM EST – Runs Driveworks OS
10:25PM EST – ‚Designed for ASIL D Functional Safety‘
10:25PM EST – 30 TOPS = 30 tera-operations
10:25PM EST – For more details on Xavier, please see the original September announcement: http:\/\/www.anandtech.com\/show\/10714\/nvidia-teases-xavier-a-highperformance-arm-soc
10:26PM EST – SHowing the BB8 autodriving car in video
10:26PM EST – Ryan is having a demo in it later this week
10:26PM EST – 30 TOPS DL is 50% higher than when Xavier was first announced
10:26PM EST – Picking up speed on on-ramp, merging at speed
10:27PM EST – video is cutting to different perception metrics
10:27PM EST – disengage autopilot via a voice command
10:27PM EST – I think Ryan will have fun later this week
10:28PM EST – A self-driving car with the theme song „do something crazy“ is certainly an interesting combination…
10:28PM EST – ‚These cars should be able to drive from A to B practically anywhere in the world‘
10:28PM EST – ‚It can determine its confidence level on paths it doesn’t know, and hand back control if it doesn’t have enough confidence‘
10:28PM EST – ‚AI should be a co-pilot‘
10:29PM EST – Announcing the AI Co-Pilot
10:29PM EST – The car has perception, cameras and speakers. It knows where it is and the state of the driver\/passengers
10:29PM EST – ‚This car can perceive, and so if it runs all the time, it can either drive you, or look out for you‘
10:30PM EST – ‚When it doesn’t have the confidence to drive, it still has everything working to tell you what it thinks and is completely aware‘
10:31PM EST – Showing a cyclist ahead, or a motorcyclist behind changing lanes
10:33PM EST – AI CO-PILOT does face recognition on the driver – it knows who is driving and their demeanour
10:33PM EST – it does head tracking and gaze tracking, so it knows which way you are looking
10:33PM EST – Also lip-reading
10:33PM EST – ‚Take me to starbucks‘ and it can tell
10:34PM EST – ‚wouldn’t be nice‘ – so this is still a goal for NVIDIA
10:34PM EST – Lip reading can be 95% accurate based on current research. Human lip reading is about 53%
10:34PM EST – >but then again, smart AI assistants are meant to be 95%+ accurate too
10:35PM EST – ‚This is the NVIDIA AI Car Platform‘
10:35PM EST – Drive PX, Driveworks OS, Auto-Pilot, Co-Pilot, Mapworks, Cloud HD Map, Cloud AI Assistant, NLU
10:36PM EST – DNN = Deep Neural Net
10:37PM EST – ‚A co-pilot that will automatically open the gates on your driveway as you pull into the street‘
10:38PM EST – JHH is describing features of the car platform, like Mapworks
10:40PM EST – Announcing partnerships with Zenrin and HERE
10:41PM EST – ZF is now a partner – they’re the leading truck and commercial supplier in EU, top 5 worldwide
10:41PM EST – ZF is first to announce a Drive AI to the market
10:42PM EST – Announcing Bosch as adopting the NVIDIA Drive computer
10:43PM EST – Bosch is the largest supplier to the automotive sector
10:43PM EST – Major update on the partnership in March
10:44PM EST – Announcing, Audi and NVIDIA to partner to build next gen AI cars
10:44PM EST – On the road by 2020
10:45PM EST – Audi to the stage, Scott Keogh, President Audi US
10:45PM EST – Audi is a frequent NVIDIA automotive collaborator, so this isn’t too surprising
10:46PM EST – 210k Audi cars sold in US last year
10:47PM EST – Within 4 days, a learning car can already navigate obstacles
10:48PM EST – ‚We’re talking level 4 autonomy by 2020‘
10:50PM EST – ‚Let’s make sure none of our kids ever have to learn to drive‘
10:52PM EST – Wrapping up now: GeForce Now, NVIDIA Shield and Spot, Drive AI Car Computer<\/p>\n