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From: BeenRetired10/4/2017 5:31:01 PM
   of 5041
 
Gaggle of Google goodies..."AI + software + hardware"............................................

Everywhere one looks creative destruction abounds.........................................

An embarrassment of riches.

ASML.




Google Pixel 2 launch event: Live updates
Oct. 4, 2017 11:58 AM ET|By: Brandy Betz, SA News Editor

Google ( GOOG, GOOGL) will begin its launch event at 12 pm ET. Stream the event live here.

Check back for live updates.

Update: Hardware SVP Rick Osterloh says there are now 55M Chromecast devices around the world. Google Wi-Fi is the top selling mesh router in US and Canada. Assistant can now answer 100M new answers.

"AI + software + hardware" is the event motto.

Google Home products:

Update: Home Product Management VP Rishi Chandra says Google Home will launch in Japan later this week.

Voice Match, the Home's voice recognition and customization feature, will launch to all regions this week.

Starting today, users can use their own phone number for calling through the Home., taking on Amazon's Echo calling push Hands-free calling coming to the UK later this year.

Update: As expected and leaked by Walmart pre-orders, Google Home Mini is the new smaller, budget-friendly addition to the Assistant family.

The Mini, which looks a bit like a fabric-covered hockey puck, comes in three colors and retails for $49. Pre-orders start today with launch on October 19.

Mini will come to all seven Google Home countries.

Update: The new smart home Nest products revealed a couple of weeks ago get some stage time to show off how the products can combine with the Google Assistant to create routines.

Routines can let a user turn on/off smart home features with a simple command like "good morning." Amazon announced a similar setup at its surprise hardware event last week.

Update: The new Broadcast feature sends the same message to all Google devices in the house.

Kid-friendly features coming to Home including parental controls for accounts and a partnership with Disney.

Update: Introducing the Google Home Max, an audio-focused smart speaker meant to take on Sonos speakers, Apple’s upcoming HomePod, and Amazon’s recently announced Echo Plus.

The 4.5-in woofers offer sound 20x stronger than the Google Home and has "smart sound" that can adjust the sound to the size and layout of the room.

Home Max costs $399 and launches in the US in December, the same month as the HomePod. Additional markets will come next year.

The Max comes with a free year of YouTube Red.

Google Pixelbook laptop:

Update: Also as expected, here comes the Google Pixelbook laptop, which is 10mm thin and 1kg light.

Key specs: 12.3-in touchscreen, Quad HD LCD, 235 ppi, Intel’s Core i5 and i7 processors, up to 16GB RAM and 512GB storage, and 10 hours battery life.

Pixelbooks can “instant tether” to a Pixel phone, comes with Google Assistant pre-installed, and can run a user’s favorite mobile apps including a custom-built Snap experience coming soon.

Pricing starts at $999 with three configurations available and the Pen costing an extra $99. Pre-orders start today, available on October 31. Initial launch covers US, Canada, and UK.

Pixel 2 and Pixel 2 XL:

Update: As expected (again), two new Pixel 2 smartphones with a smaller 5-in. device and the 6-in. XL option.

Update: The all-aluminum bodies feature a glass visor and both include a fingerprint sensor, unlike Apple’s premium iPhone X.

No headphone jack, but an adapter is included and there is Bluetooth 5.0 support for wireless headphones.

The Pixel 2 has a full HD OLED display and comes in three colors: Black, Kinda Blue, and Clearly White.

Pixel 2 XL has a pOLED screen with QHD+ and comes in Black or Black and White.

”Active Edge” lets users launch Assistant with a squeeze and can use the Broadcast and routine features through the phone.

Update: The Lens feature in the phones uses machine learning to recognize and optionally provide information about items and people in the image.

The phones were also built with AR in mind, like the new iPhones, and the company has some exclusive Star Wars content.

The Pixel 2 has one camera on the back that’s still capable of portrait mode thanks to machine learning.

Pixel 2 users will receive free, unlimited photo storage.

Pixel 2 starts at $649 for 64GB and Pixel 2 XL starts at $849. Pre-orders start today in US, Australia, Germany, India, the UK, and Canada. Exclusive partnership with Verizon in the US.

Google Home Mini tossed in free with Pixel 2 purchase for limited time.

VR and Clips camera:

Update: New Google Daydream View VR headsets with upgraded lenses and over 250 VR titles available. Headsets will cost $99.

Google Pixel Buds are the new touch-activated wireless headphones with Assistant integration. Cost $159 with pre-orders starting today.

Google Clips is a small “hands-free camera” that can clip onto things or simply rest on a table. Users can “teach” the camera’s built-in machine learning what people or places are most important to the user. Eventually, the camera will take its own pictures of what it thinks the user wants to see.

Users can swipe within the app to save images to Google Photos. The images don’t get stored to the cloud automatically.

Clips is “coming soon” for $249

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From: BeenRetired10/5/2017 6:35:22 AM
   of 5041
 

"Amazon (AMZN) Snaps Up Human-Aware AI Startup Body Labs".....................................

Bit intense AI is going to be the biggest thing since sliced bread.
As are a bunch of other 21st NBTs.

ASML.


Amazon (AMZN) Snaps Up Human-Aware AI Startup Body Labs

Amazon.com, Inc. AMZN has acquired Body Labs, a startup that develops AI, computer vision and body-modelling based 3D body shapes and motion for various industries.

Though financial details are unavailable, TechCrunch has reported that the deal could be worth $50 million to $70 million.

Let’s take a look at the potential usage options.

Fashion: Body Lab’s SOMA Shape API enables prediction and measurement of 3D body shapes using a single image. So, this could be used by Amazon to develop custom apparel and better sizing recommendations.

Amazon could enable shoppers to virtually try out clothes using their selfies to reduce returns. Notably, a recent prime exclusive service called Amazon Wardrobe allows customers to buy everything they like and return what doesn’t fit. Naturally, Amazon could run the service cheaper if it manages to shrink returns.

Gaming: As a retailer of gaming products, Amazon has been sprucing up its capabilities over the past few years. To this end, it has acquired companies like Twitch, Double Helix Games, CryEngine and most recently GameSparks.

The company has launched a free, cross-platform 3D game engine called Lumberyard that developers can use to make games, leveraging the compute and storage capabilities of AWS and the Twitch fan base. It also offers a managed service to deploy and manage game servers for multiplayer games called Gamelift.

Amazon has now the opportunity to useBody labs’ SOMA AI technology in these gaming endeavors. This in turn could boost AWS revenues by enabling it to host more gaming content. Body Lab’s technology could also be used to accelerate Amazon’s AR/VR endeavors, going forward.

Suddenly Very Acquisitive

So far this year, Amazon has already made the second-largest number of acquisitions since 1998 and we can easily expect more.

Amazon is gradually choosing the buy option over build, which, along with the other positives, ensures revenue generation in the right way without wasting any time in building its own infrastructure.


Amazon’s Echo Look device and Body Lab’s SOMA human-aware AI-based Mosh mobile app seems to be a good fit for each other. While Echo Look allows users to take photos and short videos as they try out different dresses and display them in their smartphones, Mosh can add 3D effects to a photo based on a person’s pose.

So, by integrating Mosh with Echo Look, Amazon could encourage people to shoot more photos and videos and build on its own record of size and fits in the process. That makes sense given Amazon is increasingly pushing its private level fashion brands in recent years.

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From: BeenRetired10/5/2017 7:22:48 AM
   of 5041
 

Mega-layer NAND: “creating entirely new use cases which create additional demands”.........

"I explained why I think it's likely that 2018 will end with shortages too"

Well,...

Duh.

This is exactly why the shills and "experts" are O'fer forever. The O'fer Static Model has never worked. And, the rate of change only increases. Geometrically. Not arithmetically.

Soon. Mega-layer, multi-channel SSS will be cheaper per GB & TB than 20th HDD. SSS already far superior on every other metric.

Enterprise has been going SSS on data centers because SSS has a lower TCO. For years. It's the loser laggards still using HDDs propping up units. Just like consumer PCs.




Think SSS, shrink and Fibre.

Insist on Cymer.

ASML.




TrendForce says nand flash shortages may end in 2018

Editor:- September 27, 2017 - After 6 consecutive quarters of shortages in the nand flash memory market TrendForce today said it expects "supply and demand will reach a balance in 2018, moving away from the undersupply situation of 2017."



TrendForce anticipates that seasonal effects may result in NAND temporarily swinging from undersupply to oversupply in Q1 2018. But says the overall market trend for the whole 2018 is toward a stable equilibrium of supply and demand. The global NAND Flash bit supply growth rate is currently projected at 42.9%, while the bit demand growth rate is projected at 37.7%.



Editor's comments:- In 2017 the market learned that all the past assumptions about how long the memory industry takes to stabilize yields for new devices (and how those projections compare to initial characterization phases) were wrong due to nth layer tax in high rise 3D. The memoryfication of computing (big memory as the new normal) is also creating entirely new use cases which create additional demands on chips in a parallel course to SSD but which are semi-independent of storage's migration towards more solid state. So there are more memory demand factors at work - not just more demand from previously well understood trends.

I explained why I think it's likely that 2018 will end with shortages too in my recent blog - miscellaneous consequences of the 2017 memory shortages.

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From: BeenRetired10/5/2017 8:05:20 AM
   of 5041
 

Gen-Z: “more bandwidth than PCI-Express or DDR4 slots in a much smaller form factor”.............................


"A native Gen-Z switch would be on the order of 3X to 13X faster, and with maybe 2.5X to 8X the bandwidth."
Innovators and entrepreneurs with new materials and techniques. Here, history does repeat. Over and over and over. Ever faster and faster and faster.

ASML.





Future Interconnects: Gen-Z Stitches A Memory Fabric

It is difficult not to be impatient for the technologies of the future, which is one reason that this publication is called The Next Platform. But those who are waiting for the Gen-Z consortium to deliver a memory fabric that will break the hegemony of the CPU in controlling access to memory and to deepen the memory hierarchy while at the same time flattening memory addressability are going to have to wait a little longer.

About a year longer, in fact, which is a bit further away than the founders of the Gen-Z consortium were hoping when they launched their idea for a memory fabric back in October 2016. These things take time, particularly any standard being raised by dozens of vendors with their own interests and ideas.

It has been almost a year now since Gen-Z launched, and the consortium is growing and the specifications are being cooked up by the techies. The core Gen-Z spec was published in December 2016 and updated in July to a 0.9 level; it is expected to be at the 1.0 level before the end of the year. The related The PHY spec is at about a 0.5 release level, and it should be at the 1.0 release level by the end of the year. And interestingly, the Gen-Z folks are showing off a new connector spec developed in conjunction with Tyco Electronics that uses 112 GT/sec signaling that delivers more bandwidth than PCI-Express or DDR4 slots in a much smaller form factor. (More on this in a second.)

We think there is a very good chance that InfiniBand and Ethernet switches will have circuits added to carry the Gen-Z protocol. The important thing to remember is that the PCI-Express and Ethernet physical layers have been honed over time, and will continue to evolve, and Gen-Z will ride on top of this as well as very likely get its own native hardware with its own specific benefits, such as super-low latency. The best 100 Gb/sec InfiniBand switches (including Intel’s Omni-Path as well as Mellanox Technologies’ Switch-IB) have around 100 nanoseconds of port-to-port latency, and the average 100 Gb/sec Ethernet switch is in the range of 300 nanoseconds to 400 nanoseconds. A native Gen-Z switch would be on the order of 3X to 13X faster, and with maybe 2.5X to 8X the bandwidth.

This new Gen-Z connector is also an important innovation.


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From: BeenRetired10/5/2017 8:24:01 AM
   of 5041
 

Roll-your-own Cloud Server Model has won...................................................

Let us not confuse Creative Destruction as shill Chip Armageddon. Diametrically opposed.

ASML.


Canalys channels forum Hewlett Packard Enterprise is reworking the Cloud Server line jointly developed with Foxconn – a unit that was under threat – and plans to launch shiny new products in the not-too-distant future.

The servers were aimed at tier-one service providers and formed HPE's answer to original design manufacturers in the Far East that have hoovered up demand from companies including Facebook and Google by building tailor-made specs.

But HPE CEO Meg Whitman raised questions about the future of Cloud Servers in June, when she admitted the company was "heavily dependent" on one customer – Microsoft.

He argued that Dell and HPE could compete with the ODMs but that they "have forgotten how". ®

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From: BeenRetired10/5/2017 8:32:54 AM
   of 5041
 

Google "building JavaScript AI in web browsers"..................................................


Here's a gentle guide to building JavaScript AI in web browsers. Totally not a scary thingGoogle unwraps toy image rec neural net

By Katyanna Quach 5 Oct 2017 at 01:14


Google today popped online something called Teachable Machines, a simple demo for programmers interested in deep learning.

The point is, it works directly in your web browser so you can get going tinkering with an educational neural network right away without having to spin up a full machine-learning development stack and toolchain.

The demo isn’t particularly useful, but it does teach you the basics of how AI-powered image recognition works. The input data used to train the model is a series of photos from your computer’s webcam. You then give it more data, such as more snaps from the webcam, and you're rewarded with GIFs, sounds, or speech depending on the matches.

So for example, you can train the model to output a GIF of a cat if you hold up one finger, and a GIF of a dog if you hold up your hand. Then in inference mode, depending on whether you hold up a finger or a hand, you'll be shown the matching GIF. There’s a bar that shows you how confident the image recognition system is at pulling up the correct corresponding output.

It shows users the importance of training data and how image recognition models can be tricked. If the training examples are very similar to each other or you didn't feed it enough stills from the webcam, it can confuse the model and the confidence bar is low.

Teachable Machines is just an experiment, and its source code is here. What’s underneath it, powering the system, is much, much more interesting: it's deeplearn.js. Google launched deeplearn.js – an open source software library written in Javascript that runs machine learning models in web browsers – in August.

It’s a toolkit that allows novice and pro programmers build and run simple neural networks, potentially without any coding: functions selected from drop-down menus can be used to change the dataset, model type, and some hyper-parameters such as the number of layers, during development. “It won't rival state-of-the-art setups for training and running deep neural nets, [but it] can do real deep learning,” a Google spokesperson told The Register.

There is also an option to play with ImageNet, a large dataset of pictures useful for object recognition, using your webcam. You can additionally tinker with NNArt to create artwork. This uses compositional pattern-producing networks to generate the moving images. And there's a tool called Benchmarks to test how fast various standard machine-learning tasks run in browsers. Have fun.


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From: BeenRetired10/6/2017 7:41:11 AM
   of 5041
 
Google Clips camera onboard AI.......................................................................

From what I've read about Google new stuff, Google wants Smart things to have AI, too. Not just their Cloud.
Classic bit inflation. My bright thingy is brighter than yours at play. Classic need for competitive differentiation.

Shrink has enabled all this.

Bits bonanza.

ASML.





Google Clips is a tiny camera that uses AI to automatically photograph moments

In addition to its Pixel phones and Home devices, Google announced a surprise today during its Pixel event. The company has come out with a camera that uses artificial intelligence to capture intimate moments that you aren’t able to get on your own. If your dog or baby is camera-shy, you can plant the Google Clips camera somewhere nearby to automatically take photos for you. The camera is trained to capture soundless video of faces and pets that it recognizes.

As shown in the demo onstage, Google Clips looks to be targeting parents, allowing them to focus more on interacting with their kids and pets than holding a camera in their hand. By only capturing soundless video, Google Clips dodges any laws against wiretaps. When the camera is on, an LED light blinks to let those in the room know they are being photographed.

You can export the recordings as video, photos, or GIFs. It comes in a two-tone white-and-teal color pairing, with a battery life of three hours of continuous use. It has a 12-megapixel sensor and a 130-degree field-of-view lens, and takes photos at 15 fps. Lastly, it has 8GB of internal memory.

It’s currently only compatible with Pixels, iPhone 8 and 8 Plus, and the Samsung Galaxy S7 and S8, and the photos are transferred over from the camera to devices through Wi-Fi. The Google Clips camera will be available for $249.

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From: BeenRetired10/7/2017 8:47:56 AM
   of 5041
 
Bit intense "ARRIS...802.11ac Wave 2-capable Modem".............................

"With security such a paramount concern these days, both devices utilize ARRIS Secure Home Internet by McAfee to help keep all the connected items on your network safe from malware and phishing scams."

Intel Inside.

Even cable modems have become very bright. I remember the super-duper Hayes dial stuff.

And,...
This is just the start.

ASML.



ARRIS Announces 802.11ac Wave 2-capable SGB6950-AC2 & SBG7400-AC2 Cable Modem Gateways

by Joe Shields on September 27, 2017 6:00 PM EST








ARRIS introduced two new Wave 2 Wi-Fi gateways to its Secure Home Gateway portfolio with its ARRIS SURFboard SBG6950-AC2 and SBG7400-AC2 gateways. The Secure Home Gateway series of devices merge the functionality of a DOCSIS 3.0 cable modem, 4-Port Gigabit Ethernet router, Ethernet hub, and dedicated security protection for any connected devices. The two devices promise multi-Gigabit Wi-Fi capability while the addition of the latest Wave 2 Wi-Fi technology in the Secure Home Gateway lineup allows more devices to share the increased bandwidth capabilities.



For those unfamiliar, Wave 2 technology was certified by the Wi-Fi Alliance in late June 2016 with enterprise-grade products coming to market before that time. Wave 2's marquee feature is MU-MIMO beamforming, to enable improved performance and network utilization with multiple connected devices. While Gigabit speeds over Wi-Fi were achieved with Wave 1 standard, Wave 2 has an increased PHY (physical) rate at 2.34 Gbps (Wave 1 maxed out at 1.3 Gbps). Other features include evolutionary speed improvements such as 160Mhz channels (Wave 1 was 20, 40, and 80Mhz), four spatial streams (up from 3) and extended 5 GHz channel support. Assuming the channels are set for Wi-Fi use, it will support more users and devices overall. While Wave 2 isn't brand new, devices are still coming out now supporting the new standard.

The two ARRIS gateways offer Wave 2 Next-Gen Wi-Fi to deliver maximum bandwidth and performance across connected devices. Download speeds of up to 1 Gbps and Wi-Fi speeds up to 2350 Mbps are possible with SBG7400-AC2 and its 24x8 channel setup, while the SBG6950-AC supports 686 Mbps and Wi-Fi speeds up to 1900 Mbps through a 16x4 channel setup. Both gateways allow for up to 4 wired devices through the ethernet ports on the back.



With security such a paramount concern these days, both devices utilize ARRIS Secure Home Internet by McAfee to help keep all the connected items on your network safe from malware and phishing scams.

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From: BeenRetired10/7/2017 10:28:47 AM
   of 5041
 

Pricey, bit intense Watch 3 a runaway success...........................................................................

From what I've read, selling like hotcakes.

Other will have to pick up the pace in this bit intense world.
Read...
EUV/ArF bonanza.

ASML.



Apple Watch Series 3 review: The wearable leader runs out to an insurmountable leadThere's none better, with or without LTE


If you want to pick nits, it’s about a millimeter thicker than the Series 1 model Apple is still selling. But that’s with more storage (16GB versus 8GB), a bigger battery, GPS, 50-meter water resistance, a barometric altimeter, and, of course, cellular. I’ve tested several LTE-enabled Android Wear watches that make the 42mm Apple Watch look small, so putting such capabilities in the 38mm model is nothing less than a remarkable feat of engineering.

Speed and other internal improvementsWhile it might look the same as models that came before, Apple Watch Series 3 couldn’t be more different on the inside. Along with LTE, there’s also a new S3 processor and W2 wireless chips, which give the Series 3 Apple Watch a tremendous speed boost.






Doug Duvall/IDG It only takes a second or two for apps to refresh with Apple Watch Series 3.

Navigation and animations are much smoother now, but most importantly, apps open much quicker. The speed of third-party apps was a pretty major pain point with previous generations of Apple Watch (particularly the original model, which most people will be upgrading from), and the new internals make a huge difference. I didn’t experience any lag when launching stock apps, and third-party ones rarely showed the spinning loading ring while updating. Even raise-to-wake seems quicker (though the lack of an always-on display is still a bummer).

That makes Apple Watch Series 3 much more of a standalone device, even without LTE. Where I mostly relied on my old Apple Watch for quick notifications, by the end of my testing I was instinctively using my Series 3 to respond to messages, check sports scores, even read headlines. Siri’s responsiveness is particularly impressive, but everything from stocks to sports to weather now load within a second or two. By the time the S4 chip comes around, watch apps will be just as fast as the ones on our iPhones, if not faster.

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From: BeenRetired10/8/2017 7:05:56 AM
   of 5041
 

"Google’s Clips camera is powered by a tailor-made AI chip"..................................

"More and more companies are turning to tech like this to improve on-device AI."

The AI bonanza has just started. EUV/ArF AI.

ASML.


Google’s Clips camera is powered by a tailor-made AI chip


Google’s Clips camera may be a little creepy, but it also seems pretty useful for the right user; deploying machine learning to automatically snap the best pictures of your kids and pets. But the key to that functionality isn’t just Google’s AI prowess, it also requires a specialized processor built by the Intel-owned chipmaker Movidius.



The chip in question is the Myriad 2, which Movidius describes as a “visual processing unit” or VPU. (That’s as opposed to a graphics processing unit, GPU; or central processing unit, CPU.) The Myriad 2 is a processor tailor-made to handle machine vision tasks like object recognition, and Movidius claims it’s the “industry’s first always-on vision processor.” It’s previously shown up in Google’s Project Tango devices as well as DJI’s autonomous drones, and helps to make their on-board vision processing more efficient.

Google has long been interested in Movidius’ chips. As well as using their VPUs to power Project Tango, the search giant embarked on a partnership with Movidius last year to improve how image recognition works on devices like smartphones. With the launch of the Clips camera, we have a perfect example of the sorts of benefits these collaborations bring.



Clips does it all its AI processing on-device rather than relying on a connection to the cloud to scan images for familiar faces. That’s good for user privacy (there’s no chance of data being snaffled in-transit), but also increases the device’s battery life (because it doesn’t have to maintain an internet connection at all times). These benefits are the direct result of using a specialized chip like Movidius’ VPU.

More and more companies are turning to tech like this to improve on-device AI. Only last month Apple unveiled new iPhones complete with dedicated AI “neural engine” processors, and Huawei showed off similar capability with its recent Kirin 970 chipset. On-device AI is the future and specialized silicon is helping deliver it. Google has long been interested in Movidius’ chips. As well as using their VPUs to power Project Tango, the search giant embarked on a partnership with Movidius last year to improve how image recognition works on devices like smartphones. With the launch of the Clips camera, we have a perfect example of the sorts of benefits these collaborations bring.








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