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From: BeenRetired11/17/2016 9:39:18 AM
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NEWR: "Project Seymour...to deliver advanced AI and machine learning"

21st stuff is going to be huge. Bit intense leading edge stuff.

Cymer/HMI/Zeiss/ASML.

New Relic Previews Artificial Intelligence Technology: Project Seymour
Wed November 16, 2016 12:45 PM|Business Wire|About: NEWR

Seymour to uncover insights from New Relic Digital Intelligence Platform

FutureStack kicks off in San Francisco

SAN FRANCISCO--(BUSINESS WIRE)-- NEW RELIC FUTURESTACK – Digital intelligence leader New Relic, Inc. (NYSE:NEWR) today shared a preview of its artificial intelligence (AI) technology, code-named “Project Seymour,” at the company’s fourth annual FutureStack event in San Francisco. Project Seymour is designed to deliver advanced AI and machine learning capabilities to help companies uncover the most interesting, most relevant, and most actionable insights to improve their customer experience, and the performance and availability of their digital initiatives.

“Our customers have increasingly complex systems and often struggle to understand all of the facets of what’s going on in their customer experience, in their applications, and in their infrastructure. Seymour is another manifestation of New Relic’s continued obsession to make it easy for our customers to understand everything going on in their digital business,” said Lew Cirne, CEO and founder, New Relic ( NEWR). “New Relic has a unique opportunity to leverage the power of AI because our cloud-based platform already analyzes billions of metrics for our customers every day. We simply do not believe you can get the same benefits from on-premise solutions because you wouldn’t have enough data to uncover the same meaningful insights.”

Project Seymour Aims to Bring AI to New Relic’s Digital intelligence Platform

Project Seymour is designed to help companies see their digital businesses more clearly in the following ways:

  • Discovery: Seymour’s personalized news feed can surface the trends and issues that users care about most, based on their role and permissions.
  • Deep Diagnosis: Not only does Seymour highlight issues and trends, but it can also provide users with a diagnosis of the problem and recommend a solution. Rather than clicking through their complex environment to try to figure out why an app slowed down, Seymour can highlight why it has slowed down and suggest how to fix it, all in one place.
  • Collaboration: Seymour lets users quickly share important information with other team members and discuss those issues right in the New Relic interface, or through integrations with leading chat tools, such as Slack. Conversations are stored and searchable so users can later look back to see how specific issues were handled.
  • Learning: New Relic’s machine learning algorithms can learn what individual users care about most and surface interesting trends and issues. Users can give feedback on what is important, or not important, and the system is designed to get smarter through machine learning.
  • Prediction: Seymour looks at the massive amount of data in New Relic’s cloud platform to help predict and prevent future issues

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From: BeenRetired11/17/2016 10:15:17 AM
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Brick n Mortar starting to get need to provide immersive experience?..........................

I've been saying this for over a decade.
Brick n Mortar must give up the dead horse 20th model it's been flogging.
Only leading edge circuits can provide the 21st Customer Experience.

Cymer/HMI/Zeiss/ASML.

The dawn of a new era of "immersive" and "always on/always aware" smartphone functionality is upon us. Further, it will be more collaborative with other devices without user interaction. Other devices being wearables, automobiles, and a plethora of IoT devices such as home automation and entertainment systems.

Here is an example of "immersive" use of a smartphone: imagine a person walking out of work while talking on the phone. The phone should recognize when the person leaves the office and immediately switch off WiFi, turn on Bluetooth, and turn on GPS. The user speaks to the phone and tells it to navigate home with the appropriate traffic alerts (i.e., avoid traffic jams where possible). When the user gets home they may put their phone on the couch and it should know that it's not on a person anymore and start powering things down that are consuming extra power. The user should be able to speak to the phone and ask it to tune the channel on the home entertainment system, change the room temperature if desired, and order and pay for some take out dinner. In summary, a more "immersive" experience is where a user doesn't have to use fingers to communicate with their device. They are able to speak and think naturally and the device is able to respond not only to the user, but also to the user's context in any given situation (walking, driving, sitting, exercising, home, work, etc.).

Quicklogic is seeing a big desire now for more software applications that will be installed on smartphones to be used in a more immersive way, and that will likely manifest in 2017.

That can only happen if the processing that is done for contextual awareness in that immersive experience is done in low power hardware and in always on mode so users don't have to push buttons to activate things. Quicklogic is very uniquely positioned with its EOS S3 sensor processing system-on-chip to enable that.

Other examples of immersive experiences include:

  • While shopping, a series of sensors will know what department and products you are looking at. The store's computer system will quickly search the Internet for the best price available and immediately download a coupon or offer to buy. You can speak to your phone and say, yes buy that using my Amex. Your credit card will be charged and all you have to do is carry the product out the door (Costco style) or in the case of larger items, pick them up on the way out. No line for cashiers. Companies like Best Buy are interested in this technology/user experience because they fear customers are shopping in their stores to see and touch products, then they go home and buy them on line. They want to capture the sale.
  • A plethora of sensors for health, fitness, and navigation among others from multiple device inputs (cars, wearables, inbody implanted sensors, etc.) will require always on sensors generating continuous streams of data that will need to be absorbed, interpreted, and acted upon by smartphones.
  • Implanted sensors to monitor a wide variety of heath issues in people real time feeding application software on smartphones is also an example that will require devices to be always on and monitoring data streams.

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From: BeenRetired11/17/2016 10:26:12 AM
   of 24042
 
10nm Snapdragon 835 1H17………………………………………………………......................................



Qualcomm extends Samsung Electronics collaboration for 10nm, Snapdragon 835 manufacture

Nov. 17, 2016 9:10 AM ET|About: Samsung Electronics Co.,... (SSNLF)|By: Eric McCaffrey, SA News Editor

Samsung Electronics (OTC:SSNLF), having begun mass 10nm processor fabrication last month and consequently becoming the first within the industry to do so, is capable of producing 10nm chips with 30% greater efficiency, 27% higher performance and 40% lower power consumption over its previous 14nm technology.

Qualcomm's (NASDAQ:QCOM) Snapdragon 835 is at present in production and expected to ship commercially in H1 2017.

Additionally bundled with the development, Qualcomm's fast-charging technology has been upgraded to Quick Charge 4, which will become available with Snapdragon 835. Associated Dual Charge technology will enable 20% faster charging times and up to 30% greater efficiency over the Quick Charge 3.0 predecessor. A five or more hour battery extension for premium smartphones is also claimed on five minutes of charging

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From: BeenRetired11/17/2016 10:39:23 AM
   of 24042
 
LITE PR: "Industry-First Uncooled...Pump Laser"...........................................

Lumentum Introduces Industry-First Uncooled Distributed Feedback 980 nm Pump Laser
Thu November 17, 2016 8:30 AM|GlobeNewswire|About: LITE

GlobeNewswire MILPITAS, Calif., Nov. 17, 2016 (GLOBE NEWSWIRE) -- Lumentum Holdings Inc. ( LITE) (“Lumentum”) introduced today the T13 Series of 980 nm pump laser modules which are based on an industry-first uncooled distributed feedback (DFB) 980 nm pump laser chip. The T13 family of products combine a high-power DFB diode laser with additional components into an ultra-small form factor, coaxial package. Sample quantities are available now, with volume production in December 2016.

About Lumentum

Lumentum is a market-leading manufacturer of innovative optical and photonic products enabling optical networking and commercial laser customers worldwide. Lumentum’s optical components and subsystems are part of virtually every type of telecom, enterprise, and data center network. Lumentum’s commercial lasers enable advanced manufacturing techniques and diverse applications including next-generation 3D sensing capabilities. Lumentum is headquartered in Milpitas, California with R&D, manufacturing, and sales offices worldwide.

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From: BeenRetired11/17/2016 11:03:18 AM
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NTAP CC: "all flash array business tripled year-over-year"........................................

...while slime streeters "express" "investor" "concerns" (read contort n distort) about 20th HDD hotbox stuff...

Cymer/HMI/Zeiss/ASML.

In the second quarter, our all flash array business tripled year-over-year to an annualized net revenue run rate of over $1 billion inclusive of all flash FAS, EF and SolidFire product and services. With flash moving from a point solution to a per basis technology, we refreshed our portfolio of ONTAP powered hybrid in all flash arrays in Q2. We also enhanced ONTAP Select to support flash in commodity servers. Our new hybrid array systems expand the requirements of large enterprise data centers to small enterprises and mid-size businesses offer dramatically increased speed and responsiveness compare to our previous hybrid arrays and scale up to 14 petabytes in a single system and out to a 172 petabytes in a Cluster.

Our new all flash systems offer the industries best data management features with up to twice the performance of prior system at half the latency and are designed for easy setup in less than 10 minutes. Our new all flash FAS systems are included in our flash promotion which offers 3X guaranteed performance and a 4:1 guaranteed increase in storage efficiency over competitive disk arrays as well as a risk free upfront trial, free storage controller upgrade and support extension to simplify ongoing operations. The majority of our growth in the All-Flash-Array market is driven by the All-Flash FAS customers are deploying the All-Flash FAS to improve existing infrastructure and processes, lower cost and enhanced flexibility.

A North American Financial Services Company choose the All-Flash FAS to create a modern alternative to their expensive legacy monolithic private channel SAN array from a competitor. Another North American Financial Services Company replaced the competitor's NAS footprint with an All-Flash FAS cluster connected to a disk base cluster with snap log [ph] backup services to create a tiered cloud service model for its next generation file services platform. We’re gaining new customers and new footprint at existing customers with our All-Flash-Array's.

For the first half of calendar 2016 NetApp is the fastest growing SAN [ph] vendor as measured by IDC. A clear indicator that we are moving outside of our traditional installed base and expanding our market opportunity.

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From: BeenRetired11/17/2016 11:25:44 AM
   of 24042
 
NTAP CC: SSS has become mainstream..............................................................

Remember?
slime streeter sponsored "experts" and shills told us this would never happen. O'fer "experts" & shills.
Double or quadruple whatever the "expert" WAGs are on New Tech. That will take into account the slime street static model and "investor" "concerns". Totally bogus investor concerns.

Cymer/HMI/Zeiss/ASML.

Unidentified Analyst

This is Victor in for Simon. I wanted to drill in on your All-Flash products just a little bit. Some of the discussions that we've had with our checking distributors suggested that the success of some of your competitors early on with All-Flash was more attributed to timing and the positive reception that you’re seeing to NetApp solutions more recently implies that those customers may have preferred NetApp's offering all along if it have been available at that time. So can you just comment to the degree that it’s consistent with? What you are seeing and kind of what that means the headroom in terms of improvements in the share gains?

George Kurian

First of all the market as we've said before has transitioned from an early adopter market to a mainstream replacement of performance drives with solid state arrays. In that transition customers are looking for consistency in their business processes, risk management, as well as the maturity of the technology solutions and our solid-state portfolio we feel is the best positioned in the market without question. Because we combine state of art technology efficiency and scale out architectures with the world's best data management features for enterprise datacenters with all flash FAS and for web scale datacenters with SolidFire. We have gained share in solid-state and we continue to feel confident about our prospects going forward.

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From: BeenRetired11/17/2016 11:31:49 AM
   of 24042
 
NTAP CC: "long roadmap of success ahead on 3D NAND"..........................

Followed by some form of "X"RAM.
Innovators will find new materials and techniques. Always.
shills will scream the sky is falling. ALWAYS.
Here, history DOES repeat.

Cymer/HMI/Zeiss/ASML.

you positioned data phase so strong reasonably I'm wondering what this holds for us in ’17 and in ’18?George Kurian

I think there are lots of elevations to come in the solid-state storage market the two that you referenced are certainly things that we have in our technology portfolio and we will as I said make those offerings available with when they are mature and ready for mainstream customers just like we have done with All-Flash storage solutions. There is a long roadmap of success ahead on 3D NAND technology, then there is evolutions to that. And what I’ll tell you is that even with 3D CrossPoint and DME [ph] the same values that we have brought to some enterprise all flash array market will continue to have value for customers. Proven software, mature enterprise systems technology and the track record and experience of large successful storage and data Management Company.

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From: BeenRetired11/17/2016 11:36:32 AM
   of 24042
 
NTAP CC: "long roadmap of success ahead on 3D NAND"..........................

Followed by some form of "X"RAM.
Innovators will find new materials and techniques. Always.
shills will scream the sky is falling. ALWAYS.
Here, history DOES repeat.

Cymer/HMI/Zeiss/ASML.

Jason Nolan

I wanted to ask George on MD&A and cross point and how important are these new technologies what's the timing look like and how are you positioned data phase so strong reasonably I'm wondering what this holds for us in ’17 and in ’18?

George Kurian

I think there are lots of elevations to come in the solid-state storage market the two that you referenced are certainly things that we have in our technology portfolio and we will as I said make those offerings available with when they are mature and ready for mainstream customers just like we have done with All-Flash storage solutions. There is a long roadmap of success ahead on 3D NAND technology, then there is evolutions to that. And what I’ll tell you is that even with 3D CrossPoint and DME [ph] the same values that we have brought to some enterprise all flash array market will continue to have value for customers. Proven software, mature enterprise systems technology and the track record and experience of large successful storage and data Management Company.

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From: BeenRetired11/17/2016 11:59:59 AM
   of 24042
 
Rheem smart water heater.........................................................................................

Rheem EcoNet Home Comfort WiFi Module for Select Rheem Performance Platinum Electric Water Heaters

Receive alerts & notifications on your mobile device
WiFi control and ability to set Vacation Mode from anywhere
Works with Wink home automation network and network products

$89.99 /each

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From: BeenRetired11/18/2016 7:55:15 AM
   of 24042
 
Google adds GPUs to cloud servers for better machine learning.................................

"Graphical processors are especially good at training machine learning systems more quickly"

Please.
Please!
Tell me you see what's coming.
Bit intensity is simply going to soar as the collection and (fast) interpretation of Big Data becomes the most critical factor of every organizations' ability to survive and thrive in the 21st.
Along with several other bit intense Next Big Things!

EUV/ArF Age.

Cymer/HMI/Zeiss/ASML.

Today, Diane Greene, the SVP for Google Cloud, announced a new push in Machine Learning and AI. There’s a new group under her division that will unify some of the disparate teams that had previously been doing machine learning work across Google’s cloud. Two women will take charge of the new team: Fei-Fei Li, who was director of AI at Stanford, and Jia Li, who was previously head of research at Snap, Inc. As Business Insider notes, Fei-Fei Li was one of the minds behind the Snapchat feature that lets you attach emoji to real-world objects in your snaps.The news came at the top of a slew of more announcements about the product roadmap for Google’s cloud services and how they’re expanding their use of machine learning. The announcements were all aimed at showing how Google’s cloud services include more than just renting time on a server — that it can provide services to its enterprise customers that are based on its machine learning algorithms. Those services include easier translation, computer vision, and even hiring.

For example, Google is talking up how it’s improving the infrastructure for Google Cloud. It will be able to run more efficiently thanks to the addition of GPUs to the CPUs its system already uses. Graphical processors are especially good at training machine learning systems more quickly. Google has also added some security layers to the GPU, something it claims isn’t necessarily common on other cloud platforms. So, Google says, there won’t be any data from a previous customer sitting in any of the GPU’s caches when the next customer starts spinning it up for their tasks. They’ll be available in 2017.

Google is also unifying its “cloud vision” API so the same system will be able to identify logos, landmarks, labels, faces, and text for OCR — making it simpler to implement. These systems will run on “Tensor Processing Units,” new hardware that’s optimized for Google’s TensorFlow platform. Google had previously unveiled the TPUs, but the new news today is that it’s cutting the price for “large scale deployments” by 80 percent.

Its natural language API is now globally available. It will be able to detect more “granular sentiment” in English, Spanish, and Japanese and also more “entity types” than it had in beta. Google’s natural language analysis will be able to handle morphology and syntax analysis. There’s also a new “premium translation” service.

Finally, Google is also introducing a new machine learning-based "Jobs API," which will apparently assist companies in doing massive "burst hiring" of hundreds of new employees. It allows computers to match up job openings with potential hires. Career Builder and Dice are signed up to use it, as is FedEx, Google says.

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