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Atmel Wireless Connectivity supports Industrial IoT revolution

Atmel Wireless Connectivity supports Industrial IoT revolution
by Eric Esteve on 01-10-2016 at 7:00 am
Categories: Foundries

The Consumer Electronic Show is about to close, some of the gadgets unveiled during the show will find a market and go to production and some won’t (I am skeptic about the Smartshoe offering self-fastening mechanism…) and during the week, IoT revolution has silently progressed in industrial automation. You will be surprised if you read some very serious white paper extracted from the Internet of Things white paper series published by Bosch, like “Harnessing the Power of Internet of Things; the IoT for the Extended Enterprise” or “Realizing the connected world; how to choose the right IoT platform”. The show is going on in Las Vegas when progresses are made in industrial automation thanks to hard work being done in Germany. In fact these two worlds, consumer oriented and industrial, are both relying on wireless connectivity, like products from Atmel ATWILC family: ATWILC1000, ATWILC1500 or ATWILC3000 supporting Wi-Fi and ATBLC1000 supporting BTLE 4.1, just winning the “Product of the Year” award from “Electronic Product”.

According with the white paper “Leveraging the Internet of Things, companies can streamline business processes for stakeholders across the extended enterprise” from Bosch, we realize that Bosch’s managers have brainstormed about IoT to extract the added business value for the enterprise, like for example, “in manufacturing, data automatically collected from smart and connected products, give companies meaningful feedback as to how products should be reengineered, and provides opportunities for additional revenue through selling services”. To become smart and connected, industrial products need to integrate either a Wi-Fi connection supported by ATWINC1500, either a Bluetooth supported by the very tiny (see above picture) ATBTLC1000.

From the above graphic, extracted from another white paper “Realizing the connected world-how to choose the right IoT platform” from Bosch, we can derive two crucial information. The first is the fact that IoT is already a reality in the industrial market segment, not really known to be fashion driven like could be consumer electronic. The second information is about scalability. In both examples, the number of connected devices was very low, but in a short space of time they scale massively, reaching 500k devices for the first and up to 3 million for the other. A single industrial automation application can generate a very good semiconductor business, including sensors, MCU and wireless connectivity device. In our previous blog, we have investigated the ATWINCxx00 family bringing Wi-Fi connectivity to any embedded design. Let’s take a look at the award winner ATBTLC1000 device supporting BT 4.1 connectivity.

The Atmel® BTLC1000 is an ultra-low power Bluetooth® SMART (BLE 4.1) System on a Chip with Integrated ARM Cortex-M0 MCU, Transceiver, Modem, MAC, PA, TR Switch, and Power Management Unit (PMU). It can be used as a Bluetooth Low Energy link controller or data pump with external host MCU or as a standalone applications processor with embedded BLE connectivity and external memory. If we look at the key features list:

Key Features

  • BLE4.1 compliant SoC and protocol stack
  • Lowest BLE power consumption in industry
  • Smallest BLE 4.1 SoC — Available in WLCSP (2.26×2.14mm) or QFN ( 32p 4×4 mm)
  • Optimized system cost — High level of integration on chip reduces external Bill of Material significantly
  • Wide operating Voltage range — 1.8 – 4.3V
  • Host Interface — SPI or UART
  • Certified modules — FCC, ETSI/CE, TELEC

The main reasons why the Atmel® BTLC1000 has won the Electronic Design award are power, cost and certification. BTLC1000 exhibits the lowest BLE power consumption in the industry, it’s also the smallest BLE 4.1 SoC (see picture) offering optimized system cost, thank to high level of integration. If companies like Bosch, supporting industrial automation segment for years (if not centuries) start to be seriously involved into smart connected IoT systems, no doubt that ATBTLC1000 and ATWILC1000 devices have a bright future…

From Eric Esteve from IPNEST

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Mobile Unleashed Review

Mobile Unleashed Review
by Brianhayes on 01-08-2016 at 4:00 pm
Categories: Arm, IoT, IP, Mobile

The story starts for me back in the 1980s when one of my partners told us we had to buy a machine called a BBC micro and learn how to program it. When someone asked him what can it do, apart from play space invaders, I was told as a “for example”, I could store my wife’s recipes. To view results we would have to plug the machine into a TV! The improbable story of how this machine gave birth to ARM, to smartphones and the mobile revolution is well told in this book.

It is a book, however, for those who know or wish to understand the semiconductor industry; it is written by engineers concerned to explain accurately how designs have come about. For those, such as I, primarily interested in the commercial and economic results, there is much that has to be fleshed out from other sources. Nonetheless the book is a must read for those that wish to understand the industry.

A reviewer has the luxury of being allowed to be selective and I will highlight three things, the creation of the idea by Sophie Wilson and Steve Furber, the leadership of Robin Saxby in determining that the only way to monetize an idea, however excellent, is to ensure that it becomes a standard and the leadership of Warren East who developed ARM into the company that “licenses everybody except Intel”. The authors give full credit to others, notably Qualcomm, Apple and Samsung but the core of the book is the story of ARM.

I shall work backwards. ARM is the first company I decided to invest in without the advice of brokers; I did so because my reading suggested to me that ARM managed itself like a firm of consultants, where I had spent my professional career, with the difference that it was able to charge its “partners” on the basis of a small percentage of their sales. That I told myself was somewhere close to a perfect business model. A consultant goes into clients’ premises with the mindset, “how can I help these guys make money?”. There is no better sales pitch but all he gets for his work is the value of his time.

The man most recently responsible for building that model and an ecosystem of cooperation with everybody, chip designers, EDA companies, manufacturers, OEMs and even in some cases end users was East. He was brought in as a consulting engineer to manage the collaboration that Saxby himself instilled in the company as the key to success. For those who ask, how or why has ARM achieved what it has, the authors answer is this one, collaboration and more collaboration. East became CEO in 2002 and managed the company through the extraordinary period of success created by Steve Jobs’s iPhone.

The authors tell this iPhone story in a most entertaining way, not to be repeated by me, and there is no doubt that the smartphone impelled ARM’s fortunes from a 17% market share in 2007 to 37% in 2014. It was East who built the consulting teams that made this happen.

The authors are never explicit in saying that the ARM product is superior in any way; the reader is left to draw this conclusion for himself. The book explains how Saxby was headhunted in to lead the team of engineers seconded in to the three way joint venture between Acorn, the makers of the BBC micro with which I started, Apple and VSLI. It explains how Saxby allocated enough people to Acorn for a project in which he did not believe, and assigned the rest to Apple. What Saxby needed, as the CEO of a startup, was a quick win to give both credibility and income to pay the bills. He and Apple hoped that this would come from Newton, which failed after two years or so of effort.

The win that Saxby needed came from Nokia. By this time ARM was in version 7, for which one Simon Segars was responsible. The team assigned to sell it to Nokia was lead by Mike Muller. Their presentation impressed; it ticked every box except one, v7 was 32bit and Nokia wanted 16bit. On the plane home Muller and his team dreamed up the concept of Thumb, allowing designers to choose between the two. They changed the product to get the sale, Segars adopted it and ARMv7TDMI (where the T means thumb) was the result. It was sold to Nokia and a succession of other licenses followed. At the end of this chapter the authors rather dryly remark that Saxby had achieved his objective of creating the defacto standard.

So why was the instruction set so good? The authors do not venture an answer but maybe leave clues. Acorn, which produced the BBC micro (which I somehow was supposed to program into a business tool), needed a successor chip. Acorn had large ambitions without resources and Wilson and Furber decided that a 32bit chip was necessary, though none existed. The answer was to design it themselves; so it had to be absolutely simple.

I regard a chip as just a piece of logic and man has known since Aristotle that absolutely simple logic is absolutely compelling. That, for 5 cents, is my answer. The story is well known and well told; it worked first time and did everything it was required to do; it worked even when they forgot to turn on the power, needing only the existing leakage from the I/O (in out) pins.

Then there is the dog that doesn’t bark. Intel in a book about semiconductor companies barely gets a mention. There is a great explanation of how Intel used its “Checkmate” marketing blitz to bury the Motorola 68000 and other rivals, including the pledge to preserve its customers’ software investments, but little other mention except as competitors and an oblique reference to a “we’ve made it so you must buy it” approach. Intel fans and there are many will not be pleased but they would be even less pleased with the truth that Intel has spent at least $10 billion on mobile with nothing to show for it. In short the silence is earned by their performance.

I have one suggestion that a glossary of acronyms would have been helpful. The industry scatters these round like confetti; you have to know terms like DSP and CDMA to understand the story of Qualcomm, for example, but the acronyms are fired at you with such frequency that it is some effort to commit them to memory the first time they occur.

As I have said the book is a must read for anyone who wishes to understand the industry. Its products that we think we all understand, computers, smartphones, mobiles and so forth are becoming saturated and the industry is moving at breakneck speed into disparate systems and ideas which go by the generic name of the Internet of Things. Who will dominate the IOT and with what products is a wide open question but if you want to make a stab at understanding it you can do a lot worse than spend your dollars on this publication.

Mobile Unleashed on Amazon.com

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Are AI Powered Robot Soldiers Coming?

Are AI Powered Robot Soldiers Coming?
by Daniel Nenni on 01-08-2016 at 12:00 pm
Categories: Automotive, Events, Foundries, IoT

2016 will be another defining year for semiconductors and it all starts with the Industry Strategy Symposium in Half Moon Bay next week. If you have not attended one of these you should definitely put it on your bucket list. Not only do you get to hang out in a five star cliff side resort, you get to mingle with semiconductor royalty and find out what is really going on inside this mission critical industry of ours, absolutely.

First up is a keynote from Mary Miller, Deputy Assistant Secretary of Army research and Technology. Ms. Miller overseas 12,000 scientists and engineers with an annual budget of $2B dedicated to developing military technology. I’m guessing the semiconductor industry is now recognized as pivotal to national security so let’s hope we get the recognition we deserve here. I would also like to know just how close we are to AI powered robot soldiers, like in the movies.

What follows is a wide range of presentations which you can see HERE, but I will highlight my personal top five in order of interest:

EUV benefits confirmed as volume production becomes visible on horizon
Frits van Hout (Biography), Executive Vice President, ASML

The IoT Opportunity: The Next Golden Age for Semiconductors
Thomas Caulfield, Ph.D (Biography), Senior Vice President and General Manager, GLOBALFOUNDRIES

New Era of Electrification and Vehicle Intelligence
Haruyoshi Kumura, Ph.D. (Biography), Fellow, Nissan

Semiconductors in 2016: Demand, Consolidation and China’s Growing Role
Mark Lipacis (Biography), Managing Director, Jefferies

What the Consensus Outlook for the Global Economy Means for Semiconductors
Duncan Meldrum, Ph.D. (Biography), Chief Economist, Hilltop Economics

And last but not least the concluding panel discussion which is worth the extra night hotel stay for sure:

It’s 2050… Moore’s Law is Dead… What’s the New Business Model

Panelists:
Terry Brewer, Founder and President, Brewer Science(Biography)
Robert Bruck, Corporate VP, Intel(Biography)
Aart de Geus, Chairman and CEO, Synopsys(Biography)
Aglaia Kong, CTO for Internet of Everything, Cisco Systems(Biography)
Subi Kengeri, Vice President, CMOS Platforms Business Unit, GLOBALFOUNDRIES(Biography)

This year, we are asking our panelists to think ahead … Way ahead … to 2050. It’s been fifty year’s since Moore’s Law was discovered. So, it’s a safe assumption that by 2050, Moore’s Law as we know it … will be dead. Yet we also know that the semiconductor industry will still be thriving, as innovation will never die, as that is what we do. This year’s panelists have been chosen for their track record as visionaries to share their views of how they see our industry evolving as it transitions away from Moore’s Law. Here are some of the questions that they have been asked to address: How do we get from here to there? What direction will innovation take beyond scaling? Will the weight shift from process to design or will both become more critically interdependent? Will the business model still be grounded in lowering cost-per-transistor or will it shift to raising value-per-chip and what does that mean in their mind?

SEMI Expositions are recognized around the world as the premier events for micro- and nano-electronics manufacturing, reaching more than 250,000 industry professionals each year. Find more information at: http://www.semiexpos.org.

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IEDM Blogs – Part 7 – IMEC Technology Forum – Part 2

IEDM Blogs – Part 7 – IMEC Technology Forum – Part 2
by Scotten Jones on 01-08-2016 at 7:00 am
Categories: Foundries

On Sunday evening December 6[SUP]th[/SUP] before IEDM, IMEC held the IMEC Technology Forum (ITF). In part 1 of this blog I discussed the introduction and the first two presentations given by An Steegen and Mark Rodder. In this blog I will discuss the final two presentations. Part 1 can be accessed here.

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Doubling of qubits, Superconducting States and Law for Quantum Computing!

Doubling of qubits, Superconducting States and Law for Quantum Computing!
by Vaibbhav Taraate on 01-07-2016 at 4:00 pm
Categories: EDA

If we consider the miniaturization era from year 1963 to 2014 then the computing power of classical computer has increased multi-fold and with the increasing growth in the computing power for every two years the cost per chip has dropped exponentially from few million dollar to few dollars, or even less than dollar per chip. The fabrication processes and manufacturing techniques have evolved dramatically in the past few decades. In the classical computer system the data operates on Bit. The computing power has doubled in approximately 24 months according to Moore’s law. From year 2014 onward for almost next few decades the computing power of classical computer has to be doubled in almost 36 to 38 months due to the limitation of shrinking. But if we try to perceive the quantum computing using the qubits then as multiple states are processed simultaneously the computing power will rise exponentially in ‘N’ years.

If we consider ‘n’ dimensional plane with n qubits, and if we try to perceive the behavior of energy at atomic and sub-atomic level the 2^n superconducting states can be processed simultaneously. So the computing system with ‘n’ qubits can be considered as universe. As energy associated with every universe is constant but still transmutation of the energy from one universe to another universe is possible. If we consider the computing system with ‘n’ qubits in one of the universe then all possible states can be transmuted to another universe of ‘n’ qubits and thus exponential improvement in the computing performance by 2 to the power of 2n. The way in which human brain works using the various clusters, where every cluster can be treated as information processing universe, the same concept if we apply to imagine the multiple universe as parallel processing engine then it is possible to imagine the billions of superconducting states at the same time instances and the computation speed similar to the speed of universe.

So according to the theory of multi-universe proposed by respected Stephen Hawking and the basic mathematics the universal law for superconducting states can be stated. If we consider the single object or the atom with ‘n’ states then the object can transmute the ‘n’ states or all possible states to the series or parallel universe. So effectively every series-parallel universe can consists of the unique number of such possible states.

Now consider simple mathematical analysis using the linear approximation. Assumption is power doubles or multi-folds depending on exponential rise of qubits. But depending on all or minimum possible entanglement of n qubits with the other universe.

q1: Number of qubits during year y1
q2: Number of qubits during year y2
Then by using linear approximation theory we can establish relation as following
q2=q1*2 ^ (Δy/N),Where Δy= y2-y1
N= Number of years required to double the qubits

So according to the data availability from previous few years, the number of qubits has doubled in approximately N years

Observation I: During year 2011: q1=128, during year 2015: q2 is approximately equal to 1024

Therefore q2 = 2^3 * q1and we will get the mathematical analysis as 2^3 *q1 = q1 * 2 ^ ((2015-2011)/ N)
Therefore 2^3 = 2 ^ (4/N)
Where, N is equal to number of years to double the qubits.
Therefore 3= 4/N and N=1.33 years
That is almost around 16 months

Observation II: During year 2005: q1=4, during year 2011: q2 is approximately equal to 128

Therefore q2 = 2^5* q1and we will get the mathematical analysis as 2^5 *q1 = q1 * 2 ^ ((2011-2005)/ N)
Therefore 2^5 = 2 ^ (6/N)
Where, N is equal to number of years to double the qubits.
Therefore 5= 6/N and N=1.20 years
That is almost around 14 months

Observation III: During year 2002: q1=1, during year 2015: q2 is approximately equal to 1024

Therefore q2 = 2^10 * q1and we will get the mathematical analysis as 2^10 *q1 = q1 * 1 ^ ((2015-2002)/ N)
Therefore 2^10 = 2 ^ (13/N)
Where, N is equal to number of years to double the qubits
Therefore 10= 13/N and N=1.33 years
That is almost around 16 months

So the law for quantum computing can be stated as: The number of qubits has to be doubled in approximately 14 to 16 months to have exponential rise of computing power which may be multi-fold in comparison with the classical computers.

So if we consider the classical computer versus quantum computing then the data transfer speed in the classical computer is limited due to speed of light. But in case of quantum computing if ‘n’ qubits with the superposition and entanglement with another universe in series or parallel then distance of the universe and speed of light is immaterial or not be considered as limiting factors. But according to my mathematical analysis this may be true till year 2053. Now imagine the ‘n’ superconducting states in the universe entangled with another universe, ‘n’ or all possible states in this universe can communicate without the limitation of speed of light with the another universe. So effectively the quantum superposition and entanglement can create exponential growth in computing power. The 1024 qubit quantum computing machine can act as the supreme super computer where billions of superconducting states at a time to solve the critical problems and optimization in just one step.

But if we consider the up or down spin of electron where the quantum wavelength is the fundamental limit to measure the spin or position of particle. Concept even applicable to photons. If the factor of2^ (Δy/N) is multiplied by Compton Wavelength λc= (2.426*10^ (-12)) then to get the maximum value of 1 using N=1.2 years and y1=2002 , we will get result as y2= 2048.5

If we consider the doubling of qubits in 1.33 years then for N=1.33 years and y1=2002, we will get result as y2=2053.20.

For classical computer using the transistors the miniaturization limit may reach during 2030 to 2035. As there is limitation for shrinking using the lower process nodes below 10 nan0-meter. By using the spin-up and spin-down state, correlation the universe can communicate with another universe and even it can give the birth to the programmable interconnect using the light as source to transfer and receive the energy. Even as programmable interconnect the photon spin-up and spin-down state can be used to transfer information from one of the qubit to another qubit. But according to this analysis the quantum computing limit can reach during period 2048 to 2053 and we will witness one more technological shift in the form of new evolution in computing.

So as the history always repeats with the cyclic technological shift. And we will witness the similar kind of evolution which we have witnessed using silicon transistors. The similar situation we are witnessing in the present scenario as the cost of quantum computing machine is few million dollars. There will be evolution of the interconnects and pathways from one of the universe to another universe using the atomic and sub-atomic energy. The cost of quantum computing machines will reduce during next decade from million dollars to few thousand dollars and will be available to the mass with hundreds of dollars during year 2030. It is like the super-computing power to the mass.

But the era of super-computing or parallel processing can give us the discrete optimization algorithms, space search, brain programming, multi universe communication etc in the next few decades. The real multi-world, multi-universe concept using the relativity can be proved by using the quantum computing superconducting states. So let us hope for the great era of super-computing!

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IP Development in Japan

IP Development in Japan
by Pawan Fangaria on 01-07-2016 at 12:00 pm
Categories: EDA, Fractal Technologies, IP

As semiconductor IP is growing bigger in size and more complex in providing complete solution for a particular functionality in an SoC, regions from across the world are joining to provide various types of services in the overall value-chain of IP development, verification, and its integration into SoCs.
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Seven Predictions for 2016

Seven Predictions for 2016
by Alex Lidow on 01-07-2016 at 7:00 am
Categories: Automotive, Foundries, IoT

Wireless Power Will Become Mainstream:
Wireless power will continue to gain traction with increased consumer demand charged by new products and applications. There are two different standards vying for consumer adoption; Qi and Rezence, but the consumer need not worry about a standards war because companies like Hewlett Packard are launching multi-mode systems that work on all standards. Consumers, in the meantime, will demand and buy these products in droves, further propelling development, as people put an end to their frustration with batteries and wires. In short, 2016 will be the year that wireless power “arrives.”


Augmented Reality Stakes Its place alongside Virtual Reality:
A seemingly unlimited amount of ink was spilled in 2015 discussing the promise of virtual reality. In 2016, however, there will be as much talk about augmented reality, as developers generate a slew of exciting applications across a variety of industries that add interactivity to the virtual world. Augmented reality will increasingly be used for such purposes as 3D product design, remote surgery, and education training (to name a few). While virtual reality is primarily confined to entertainment, the use cases for augmented reality are seemingly limitless. The affordability of augmented reality products will begin to become its own reality in 2017.


Autonomous Cars Will Advance But Keep Both Hands On The Wheel For Now:
While the technology to enable autonomous vehicles will advance, we are still a few years away from the proliferation of consumer driven autonomous vehicles, as we work out the technology and the regulatory issues. In future years, autonomous vehicles will enable much greater use of smartphones as drivers become passengers. Which, in turn, will drive demand for greater wireless bandwidth, 5G implementation,and wireless charging in our cars to prevent smartphones from running out of battery power. In the meantime, we will see more and more autonomy of vehicles under specific driving circumstances such as parking, freeway driving, and low speed stop-and-go.


Internet Enablement In Underdeveloped Nations Will Grow at a Greater Clip:
While most people on the planet are still without Internet access, coverage via wireless technologies will continue to accelerate. Balloons (such as Google Loon), satellites (such as the Google-SpaceX venture), and high altitude drones (Facebook) are the most likely solutions to serve much of the underdeveloped world in the coming years and decades.


Improved Medical Diagnostics Will Gain More Attention:
New, early detection techniques such as nano-RNA and micro imagining will make significant inroads towards early detection of certain types of cancers. For example, XRAY-in-a-pill colonoscopies will gain European approval in 2016 and will eliminate the key barriers to early detection of Colon Cancer. US approval is expected in 2017.


Moore’s Law Continues its Decline:
Moore’s Law – the technology pact conceived by Intel co-founder Gordon Moore some 50 years ago – will continue its marked decline. Even Intel is backing away from this promise. As silicon fails to deliver on the advancement delivered in yesteryear the pace of technology progress will continue to stall, leading to reduced innovation and slowed end-market development. Technology companies will continue looking for alternative solutions to propel advancement to previous performance increase and cost reduction standards in order to fuel their new product pipelines and foster innovation.

GaN Will Continue To Power Advancement:
The ability to fuel technology advancement, including the applications above, will require significantly increased speed, voltage, bandwidth and efficiency, not to mention meaningful miniaturization. As silicon reaches its performance limitations, other new entrants are delivering significantly greater performance with rapidly decreasing costs and hundreds of new applications in mainstream markets. Independent GaN companies will set the pace while established power silicon producers will downplay the significance of the technology.

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My Choice for Coolest Thing from CES 2016 (Day 1)

My Choice for Coolest Thing from CES 2016 (Day 1)
by Bernard Murphy on 01-06-2016 at 4:00 pm
Categories: IoT, Mobile

I’ll admit up-front I’m cheating. I’m writing this from the comfort of my home office without having to go anywhere near the CES madness (I was there last year; 170,000 people packed into the center of Las Vegas, block-wrapping lines to get taxis, never again). I’m relying instead on the Wired preview of the first day and what they thought was cool.

One thing in particular caught my attention – the ili (that’s eye-el-eye) wearable translator. This is a little gadget, a little like the old iPod gumstick, that you wear around your neck. You push a button and talk; ili translates what you are saying into English, Chinese or Japanese (with more languages planned). And the person you are speaking with can use ili to talk back to you and will translate back to your native language. You speak into one side and what you say is translated out through a speaker on the other side.

If you ever read Douglas Adams’ “Hitchhiker’s Guide to the Galaxy”, you should immediately see where I’m going with this. It’s the Babel fish – a primitive, bulky (and inanimate) Babel fish to be sure, but the same objective and within striking distance of the same size. For those unfortunate souls who haven’t read the book (or seen the movie), the Babel fish is a universal translator. You stuff it in your ear, then you can understand anything spoken to you in any language and you can respond in the same language. Such is the power of science fiction to shape science reality.

The ili translator will fall short of this ideal goal in many ways I’m sure – limited vocabulary, accuracy of voice recognition, etc, etc. But these are details to be ironed out. What’s more important is that they have started along the path. This will be a truly useful wearable – maybe today, maybe after some evolution. Kudos to the the Japanese founders for launching this product and winning CES Innovation of the Year awards both this year and last year. Good to see great tech coming out of Japan again.

One more thing – this device doesn’t need the Internet to work. This is a personal hobby-horse of mine. Connecting to the Internet is great if it adds significant value to a product but it doesn’t have to be the defining requirement of new personal and other electronic applications. The IoT sometimes seems to blinker us to great “Things” because we can’t figure out how the Internet plays in the idea. Revelation – it doesn’t have to. “T”s can have high value on their own. Add the “Io” only if it makes sense.

You can learn more about ili HERE. You can read the Wired article HERE. Ever wanted a (real, working) wooden keyboard? The Wired article has that covered also.

More articles by Bernard…

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Intel reaches for all-new experience at CES2016

Intel reaches for all-new experience at CES2016
by Don Dingee on 01-06-2016 at 1:30 pm
Categories: Foundries, Intel Foundry, IoT

When Gary Shapiro introduced Brian Krzanich for Intel’s keynote at #CES2016, he just possibly may have been the last person to say “Moore’s Law” outside of a museum ever again. Krzanich was about to take Intel into new territory, where “Copy Exactly” and tick-tock also don’t matter.
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Interface IP year 2015: Winners and Losers

Interface IP year 2015: Winners and Losers
by Eric Esteve on 01-06-2016 at 1:00 pm
Categories: IP

The global Interface IP market is still growing in 2015, no doubt about it. It’s interesting to zoom in the various protocols to check their respective behavior. Which protocol generates an IP business growing more than the average market? Which protocol generates a disappointing IP business? In other words, which are the winners and the losers in 2015 when we review USB 2, USB 3, PCI Express, (LP)DDRn, HDMI, MHL, DisplayPort, MIPI, Ethernet or the VHS SerDes?

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