Laser stores its own wavelength setting and keeps it even when the power is off
(Texas A&M University) In the September issue of the journal Nature, scientists from Texas A&M University, Hewlett Packard Labs and Stanford University have described a new nanodevice that acts almost identically to a brain cell. Furthermore, they have shown that these synthetic brain cells can be joined together to form intricate networks that can then solve problems in a brain-like manner.
Research Report Insights offers a 10-year forecast for global Neuromorphic Chip Market: Global Industry Analysis, size, sales and Forecast by 2026. In terms of value, the market is expected to register a CAGR of 20.7% during forecast period. This study demonstrates the market dynamics and trends globally across 7 regions North America, Latin America, Western Europe, Eastern Europe, APEJ, Japan, and MEA which influence the current nature and future status of the neuromorphic chip market over the forecast period.This research report provides detailed analysis of neuromorphic chip market and offers insights on the various factors driving popularity of these chips. The report includes an extensive analysis of key industry drivers, restraints, market trends and market structure. The market study provides comprehensive assessment of stakeholder strategies and imperatives for succeeding in the business. The report segregates the market based on neuromorphic chip applications across different regions globally. The market is witnessing growth in the adoption and development of neuromorphic chips. Market growth of neuromorphic chips is driven by growing demand for artificial Intelligence systems and increasing government investments in R&D. These factors along with the benefits provided by neuromorphic chips over conventional computing is rapidly creating opportunities for growth of the neuromorphic chip market. Additionally, increasing convergence of next-generation technologies and integration of neuromorphic chips in smartphones, is expected to further drive the growth of the market.Report For Sample with Table of [email protected] https://www.researchreportinsights.com/report/sample/110114808/Neuromorphic-Chip-Market  The report starts with an overview of the neuromorphic chip market in terms of value. In addition, this section includes analysis of key trends, drivers and restraints from the supply, demand and economy side, which are influencing the neuromorphic chip market. Impact analysis of key growth drivers and restraints, based on the weighted average model is included in this report to facilitate clients with crystal clear decision-making insights. Neuromorphic chip market is classified on the basis of application and vertical. On the basis of application, the market is segmented as image recognition, signal recognition, data mining and others. On the basis of vertical, global neuromorphic chip market is segmented into aerospace & defence, automotive, consumer electronics, healthcare, industrial and others and others. A detailed analysis has been provided for every segment in terms of market size analysis for neuromorphic chips across the different regions. The section provides a detailed analysis covering key trends, absolute dollar opportunity and BPS Analysis. The next section highlights detailed analysis of neuromorphic chips across various countries in the region. It provides a market outlook for 2016–2026 and sets the forecast within the context of neuromorphic chips, including latest technological developments as well as offerings in the market. This study discusses key trends within countries contributing to growth of the market, as well as analyses degree at which drivers are influencing this market in each region. Key regions and countries assessed in this report include North America (U.S., Canada), Latin America (Brazil, Argentina and Rest of LATM), Western Europe (Germany, UK, France, Switzerland, Nordic, and Rest of WE), Eastern Europe (Russia, Poland, Rest of Eastern Europe) APEJ (China, India, South Korea, ASEAN, ANZ, and Rest of APEJ), Japan, MEA (North Africa, South Africa, GCC, and Rest of MEA). This report evaluates the present scenario and the growth prospects of the neuromorphic chip market across various regions globally for the period 2016 –2026. We have considered 2015 as the base year and provide data for the trailing 11 years. These neuromorphic chips are not completely commercialized yet, and are still in the research and development stage. We have considered research & development expenditure towards neuromorphic chips by players in this market, along with the monetary investments by governments based in various regions, to calculate global neuromorphic chip market size.  Forecasting models are developed in order to quantify the impact of each of these factors on industry spending. A forecast scenario for each causative factor is then created and the contribution of each factor on a prospective basis is identified. The forecast presented here assesses the total revenue by value across the market. In order to offer an accurate forecast, we started by sizing the current market, which forms the basis of how the neuromorphic chip market will develop in the future. Given the characteristics of the market, we triangulated the outcome of different types of analyses, based on the technology trends. In addition, it is imperative to note that in an ever-fluctuating global economy, we not only conduct forecasts in terms of CAGR, but also analyse on the basis of key parameters such as year-on-year (Y-o-Y) growth to understand the predictability of the market and to identify the right opportunities across the market. As previously highlighted, the global neuromorphic chip market is split into a number of segments. All segments in terms of application and vertical, and based on different regions are analysed in terms of basis points to understand individual segments’ relative contributions to market growth. This detailed level of information is important for identification of various key trends of the global neuromorphic chip market. Also, another key feature of this report is the analysis of all key segments in terms of absolute dollar opportunity. This is traditionally overlooked while forecasting the market. However, absolute dollar opportunity is critical in assessing the level of opportunity that a provider can look to achieve, as well as to identify potential resources from a sales and delivery perspective in the global neuromorphic chip market. In the final section of the report, we included a competitive landscape to provide clients with a dashboard view, based on categories of provider in the value chain, presence in neuromorphic chip portfolio and key differentiators. This section is primarily designed to provide clients with an objective and detailed comparative assessment of key providers specific to a market segment in the neuromorphic chip’s value chain and the potential players for the same. Report audiences can gain segment-specific vendor insights to identify and evaluate key competitors based on in-depth assessment of capabilities and success in the marketplace. Detailed profiles of providers are also included in the scope of the report to evaluate their long-term and short-term strategies, key offerings and recent developments in the neuromorphic chips space. Key competitors covered are IBM Research, Inc., Intel Corp., General Vision Inc., Qualcomm Technologies Inc., Hewlett Packard Labs., HRL Laboratories, LLC, BrainChip Holdings Ltd., and Knowm Inc.Request For Report [email protected] https://www.researchreportinsights.com/report/discount/110114808/Neuromorphic-Chip-Market  Key Segments CoveredBy ApplicationImage RecognitionSignal RecognitionData MiningOthersBy VerticalAerospace & DefenceAutomotive Consumer ElectronicsHealthcareIndustrialOthers Key Regions CoveredNorth AmericaS.CanadaLatin AmericaBrazilArgentinaRest of LATMWestern EuropeGermanyUKFranceSwitzerlandNordicRest of WEEastern EuropeRussiaPolandRest of Eastern EuropeAPEJChinaIndiaSouth KoreaASEANANZRest of APEJJapanMEANorth AfricaSouth AfricaGCCRest of MEAReport [email protected] https://www.researchreportinsights.com/report/rd/110114808/Neuromorphic-Chip-Market Key VendorsIBM Research, Inc.Intel Corp.General Vision Inc.Qualcomm Technologies Inc.Hewlett Packard Labs.HRL Laboratories, LLC.BrainChip Holdings Ltd.Knowm Inc.
Research Report Insights offers a 10-year forecast for global Neuromorphic Chip Market: Global Industry Analysis, size, sales and Forecast by 2026. In terms of value, the market is expected to register a CAGR of 20.7% during forecast period. This study demonstrates the market dynamics and trends globally across 7 regions North America, Latin America, Western Europe, Eastern Europe, APEJ, Japan, and MEA which influence the current nature and future status of the neuromorphic chip market over the forecast period.Report For Sample with Table of [email protected] https://www.researchreportinsights.com/report/sample/110114808/Neuromorphic-Chip-Market This research report provides detailed analysis of neuromorphic chip market and offers insights on the various factors driving popularity of these chips. The report includes an extensive analysis of key industry drivers, restraints, market trends and market structure. The market study provides comprehensive assessment of stakeholder strategies and imperatives for succeeding in the business. The report segregates the market based on neuromorphic chip applications across different regions globally. The market is witnessing growth in the adoption and development of neuromorphic chips. Market growth of neuromorphic chips is driven by growing demand for artificial Intelligence systems and increasing government investments in R&D. These factors along with the benefits provided by neuromorphic chips over conventional computing is rapidly creating opportunities for growth of the neuromorphic chip market. Additionally, increasing convergence of next-generation technologies and integration of neuromorphic chips in smartphones, is expected to further drive the growth of the market. The report starts with an overview of the neuromorphic chip market in terms of value. In addition, this section includes analysis of key trends, drivers and restraints from the supply, demand and economy side, which are influencing the neuromorphic chip market. Impact analysis of key growth drivers and restraints, based on the weighted average model is included in this report to facilitate clients with crystal clear decision-making insights. Neuromorphic chip market is classified on the basis of application and vertical. On the basis of application, the market is segmented as image recognition, signal recognition, data mining and others. On the basis of vertical, global neuromorphic chip market is segmented into aerospace & defence, automotive, consumer electronics, healthcare, industrial and others and others. A detailed analysis has been provided for every segment in terms of market size analysis for neuromorphic chips across the different regions. The section provides a detailed analysis covering key trends, absolute dollar opportunity and BPS Analysis.Request For Report [email protected] https://www.researchreportinsights.com/report/discount/110114808/Neuromorphic-Chip-Market  The next section highlights detailed analysis of neuromorphic chips across various countries in the region. It provides a market outlook for 2016–2026 and sets the forecast within the context of neuromorphic chips, including latest technological developments as well as offerings in the market. This study discusses key trends within countries contributing to growth of the market, as well as analyses degree at which drivers are influencing this market in each region. Key regions and countries assessed in this report include North America (U.S., Canada), Latin America (Brazil, Argentina and Rest of LATM), Western Europe (Germany, UK, France, Switzerland, Nordic, and Rest of WE), Eastern Europe (Russia, Poland, Rest of Eastern Europe) APEJ (China, India, South Korea, ASEAN, ANZ, and Rest of APEJ), Japan, MEA (North Africa, South Africa, GCC, and Rest of MEA). This report evaluates the present scenario and the growth prospects of the neuromorphic chip market across various regions globally for the period 2016 –2026. We have considered 2015 as the base year and provide data for the trailing 11 years. These neuromorphic chips are not completely commercialized yet, and are still in the research and development stage. We have considered research & development expenditure towards neuromorphic chips by players in this market, along with the monetary investments by governments based in various regions, to calculate global neuromorphic chip market size.  Forecasting models are developed in order to quantify the impact of each of these factors on industry spending. A forecast scenario for each causative factor is then created and the contribution of each factor on a prospective basis is identified. The forecast presented here assesses the total revenue by value across the market. In order to offer an accurate forecast, we started by sizing the current market, which forms the basis of how the neuromorphic chip market will develop in the future. Given the characteristics of the market, we triangulated the outcome of different types of analyses, based on the technology trends. In addition, it is imperative to note that in an ever-fluctuating global economy, we not only conduct forecasts in terms of CAGR, but also analyse on the basis of key parameters such as year-on-year (Y-o-Y) growth to understand the predictability of the market and to identify the right opportunities across the market. As previously highlighted, the global neuromorphic chip market is split into a number of segments. All segments in terms of application and vertical, and based on different regions are analysed in terms of basis points to understand individual segments’ relative contributions to market growth. This detailed level of information is important for identification of various key trends of the global neuromorphic chip market. Also, another key feature of this report is the analysis of all key segments in terms of absolute dollar opportunity. This is traditionally overlooked while forecasting the market. However, absolute dollar opportunity is critical in assessing the level of opportunity that a provider can look to achieve, as well as to identify potential resources from a sales and delivery perspective in the global neuromorphic chip market. In the final section of the report, we included a competitive landscape to provide clients with a dashboard view, based on categories of provider in the value chain, presence in neuromorphic chip portfolio and key differentiators. This section is primarily designed to provide clients with an objective and detailed comparative assessment of key providers specific to a market segment in the neuromorphic chip’s value chain and the potential players for the same. Report audiences can gain segment-specific vendor insights to identify and evaluate key competitors based on in-depth assessment of capabilities and success in the marketplace. Detailed profiles of providers are also included in the scope of the report to evaluate their long-term and short-term strategies, key offerings and recent developments in the neuromorphic chips space. Key competitors covered are IBM Research, Inc., Intel Corp., General Vision Inc., Qualcomm Technologies Inc., Hewlett Packard Labs., HRL Laboratories, LLC, BrainChip Holdings Ltd., and Knowm Inc.Report [email protected] https://www.researchreportinsights.com/report/rd/110114808/Neuromorphic-Chip-Market  Key Segments CoveredBy ApplicationImage RecognitionSignal RecognitionData MiningOthersBy VerticalAerospace & DefenceAutomotive Consumer ElectronicsHealthcareIndustrialOthers Key Regions CoveredNorth AmericaS.CanadaLatin AmericaBrazilArgentinaRest of LATMWestern EuropeGermanyUKFranceSwitzerlandNordicRest of WEEastern EuropeRussiaPolandRest of Eastern EuropeAPEJChinaIndiaSouth KoreaASEANANZRest of APEJJapanMEANorth AfricaSouth AfricaGCCRest of MEAKey VendorsIBM Research, Inc.Intel Corp.General Vision Inc.Qualcomm Technologies Inc.Hewlett Packard Labs.HRL Laboratories, LLC.BrainChip Holdings Ltd.Knowm Inc.
Neuroscientists say your brain operates in a regime termed the “edge of chaos,” and it’s actually a good thing.It’s a state that allows for fast, efficient analog computation of the kind that can solve problems that grow vastly more difficult as they become bigger in size.“No one had been able to show chaotic dynamics in a single scalable electronic device,” says Suhas Kumar, a researcher at Hewlett Packard Labs, in Palo Alto, Calif. Until now, that is.He, John Paul Strachan, and R. Stanley Williams recently showed that a particular configuration of a certain type of memristor contains that seed of controlled chaos.What’s more, when they simulated wiring these up into a type of circuit called a Hopfield neural network, the circuit was capable of solving a ridiculously difficult problem—1,000 instances of the traveling salesman problem—at a rate of 10 trillion operations per second per watt.(It’s not an apples-to-apples comparison, but the world’s most powerful supercomputer as of June 2017 managed 93,015 trillion floating point operations per second but consumed 15 megawatts doing it.
Pro camera maker RED came out of nowhere a few weeks ago with a Hydrogen One smartphone of its own, which is supposed to deliver features not available on any of the regular smartphones you can purchase right now.Chief among them was a holographic display capable of providing a glass-free holographic experience.That sounds great on paper, but RED never really explained how everything works.Priced at $1,200, well above most flagship smartphones, the Hydrogen One phone seemed sketchy even if it came from a respectable company like RED.It took a while, but RED was finally ready to explain how the screen works.A company called Leia, a spin-off from Hewlett-Packard labs, is making the screen that will power the Hydrogen phone.
RED, the maker of super high quality cameras that probably cost more than your car, has been working on an equally ambitious phone with some of the most far out tech any company has ever tried to put on a handset.Yesterday CEO Jim Jannard took to the RED camera forums to give more details on the sci-fi sounding holographic display, and to announce a partnership with Leia Inc., “the leading provider of lightfield holographic display solutions for mobile.”Dubbed the Hydrogen Phone, RED’s upcoming $1,195 ( £906) gadget boasts impressive features such as a Kevlar body, dual-rear cameras, optional titanium sides (for an extra $400/ £303) and a complicated sounding modular add-on system that should, somehow, let the phone integrate with RED’s cinema-quality camera gear.But even with all that, there’s one aspect about the Hydrogen Phone that seems like it can’t be more than a gimmick: Its holographic display.According to the press release RED has joined forced with Leia Inc., an offshoot from Hewlett-Packard Labs, because of the company’s “recent breakthroughs in Nano-Photonic design and manufacturing to provide a complete lightfield “holographic” display solution for mobile devices.” Those are some very big words that boil down to mean a phone developed by Leia could include nice vaguely holographic images.The display is said to use multi-layered LCDs in combination with directional backlighting to produce an image that pops out from the display, not entirely unlike Princess Organa’s call for help in a galaxy far, far away.
The computer is all-knowing and all-controlling, saying at one point, “Dave, this conversation can serve no purpose anymore.No one wants that outcome for real-world spacecraft and computers, but Hewlett-Packard Enterprise is starting to think about how to automate many spacecraft systems and outsource critical decisions to an on-board computer.Presently, with the International Space Station, flight controllers on Earth monitor the spacecraft’s overall health continually, and flight directors relay information to astronauts on board when problems occur.Although astronauts are unlikely to venture beyond the Earth-Moon system before the late 2030s—if then—when they do, they will confront significant time delays.For Kirk Bresniker, the son of an aerospace engineer who is now Hewlett-Packard Labs' chief architect, the answer to this problem may come in the form of more sophisticated artificial intelligence on board.They will have sleep cycles.
Dumping Moore's Law is perhaps the best thing that could happen to computers, as it'll hasten the move away from an aging computer architecture holding back hardware innovation.That's the view of prominent scientist R. Stanley Williams, a senior fellow in the Hewlett Packard Labs.Moore's Law is an observation made by Intel co-founder Gordon Moore in 1965 that has helped make devices smaller and faster.It predicts that the density of transistors would double every 18 to 24 months, while the cost of making chips goes down.Every year, computers and mobile devices that are significantly faster can be bought with the same amount of money thanks in part to guidance from Moore's Law.That's a challenge facing all top chip makers including Intel, which is changing the way it interprets Moore's Law as it tries to cling on to it for dear life.
HPE's new chip marks a milestone in optical computing We may use photons to carry our data, but we rely on the electron to put it to use.One day that division of labor might not be so stark.A team at Hewlett Packard Labs, in Palo Alto, Calif., has built a demonstration chip that could help push some particularly thorny computations into the realm of light, potentially boosting speed and saving energy in the process.EFF's 2017 wishlist For the last five years, EFF has greeted the holiday season by publishing a list of things we'd like to see happen in the coming year.Sometimes these are actions we'd like to see taken by companies, and sometimes our wishes are aimed at governments, but we also include actions everyday people can take to advance our digital civil liberties.Last month it became apparent that these concerns are not just one-sided complaints, when the U.S. Government launched a criminal case against two of Prenda Law's principals.
Today s processors, no matter how powerful, use transistor-based technology that s been around for decades.These transistors have gotten smaller and smaller, and are now pushing the limits of what s possible with this electron-based technology.In fact, Moore s Law, which has predicted continued increases in processor performance throughout the history of computing, is starting to lose its power and new types of processors are being sought to keep computer processing power on the increase.One such technology is light-based chips that could boost power without increasing energy requirements, and Hewlett Packard Labs has built the largest one so far, as IEEE Spectrum reports.Hewlett Packard Labs is part of Hewlett Packard Enterprise HPE , and the research arm of HPE is not the first to pursue more computational power through photons instead of electrons.Light-based processors are nothing new, but HPE s effort packs in 1,052 optical components into a single chip, marking the largest and most complex effort at using light to perform calculations.
Martin Fink is retiring as HPE's chief technology officer and head of Hewlett Packard Labs after more than 30 years with the company.HPE CEO Meg Whitman wrote on a corporate blog, "Martin has had a remarkable career, driving some of our most important initiatives, including our cloud, open source and Linux strategies and leading the Business Critical Systems division."With Fink's departure, HPE is moving Hewlett Packard Labs into the Enterprise Group under Antonio Neri.To centralise and simplify the organisation in order to drive better sales execution, HPE said it will align its sales teams into a single global sales organisation within the Enterprise Group.Whitman also announced the departure of John Hinshaw, who earlier ran technology and operations at the company, but more recently took the title chief customer officer.Whitman said: I'm excited about the future of HPE, and I'm confident that these changes will help us accelerate our strategy and continue to win in the marketplace."
Machine moves closer, execs move d outMartin Fink, the chief techie straddling Hewlett Packard Enterprise s global Labs is quitting just as the prototype of his most ambitions project to date, The Machine, edges closer.Martin has had a remarkable career, driving some of our most important initiatives, including our cloud, open source and Linux strategies and leading the Business Critical Systems division and The Machine, she said.Whitman said today the prototype will bring The Machine to life , but provided little detail.To further accelerate the time it takes to drive technology from research and development to commercialisation, we will move Hewlett Packard Labs into the Enterprise Group , said Meg.This, she said, will help align R legwork on The Machine with the business - particularly how we integrate key components like photonics and memristor into existing product lines - by bringing together our innovation roadmap with our business roadmap .All these changes also coincide with the end of COO John Hinshaw's career at HPE - he was previously in charge of customer advocacy, IT and operations and oversaw the split of HP into two companies, and did a good job, channel partners told us at the time.
Hewlett Packard Enterprise Co. HPE -5.29 % on Monday announced the planned retirement of its research chief along with other management and organizational changes, the latest signs the big technology company wants to streamline operations and speed up decision-making.Executive Vice President Martin Fink will retire at the end of the year as chief technology officer and head of Hewlett Packard Labs, the company said.Chief Executive Meg Whitman, in an internal notice describing the changes, said the shift will help further accelerate the time it takes to drive technology from research and development to commercialization.An HP Enterprise spokeswoman said it would begin a search for a replacement for Mr. Fink, whom she said was unavailable to comment.Mr. Fink, 50 years old, joined H-P in 1995 and helped lead a series of high-profile technology development efforts, including the company s embrace of the Linux operating system and a public cloud service that was recently discontinued.Among other changes, the company said John Hinshaw, its chief customer officer, will be leaving the company at the end of the year.
That s the sort of progress Hewlett Packard Enterprise is hoping to make with a project known as the Dot Product Engine, which is inspired by the human brain.This kind of technology will take years before it comes to fruition and is made available to the masses.The shift from contemporary computing to a functionality that mimics our own thought process could well hinge on the usage of the company s memristor technology.Today s computers carry data from storage to be processed by the CPU and system memory.This has the potential to be incredibly more power efficient, save a lot of time, reduce computing complexity and not be clogging up the bandwidth, said Hewlett Packard Labs researcher Cat Graves in an interview with PC World.However, since the chips will lean heavily on approximation, they re not intended to replace components like GPUs or CPUs.
HP Enterprise has developed a prototype computer that s designed to mimic the way the human brain works.The ultimate goal with the project, the publication notes, is to create a chip that uses algorithms and learning models to generate approximate results that can be used along with associations to make quick decisions.Such a chip is still many years away but in the meantime, HP Enterprise is testing the brain-like computing model using a makeshift system comprised of circuit boards and memory chips.Cat Graves, a scientific researcher at Hewlett Packard Labs, said they re mimicking the brain s parallel computation architecture using memristor technology in conjunction with a specially designed architecture.While this process takes place very quickly, it still consumes valuable time and resources.That s because its computations are all based on probabilities and thus, are approximate, which means they may not be entirely accurate.
Originally announced in 2014, The Machine promises a number of radical innovations, including a core design focus on memory rather than processors.A finished product won't be ready for years still, but HPE wants to get open-source developers involved early in making software for it.Toward that end, it has released four developer tools.Finally, a DRAM-based performance emulation platform leverages features available in commodity hardware to emulate different latency and bandwidth characteristics of future byte-addressable NVM technologies.By making software stacks for The Machine open source, we are enabling the developer community to gain early access to new programming methods and tools so they can improve upon existing applications and imagine future possibilities," said Bdale Garbee, HPE Fellow in the Office of the CTO at Hewlett Packard Labs.Code contributions that get accepted into the main code base will appear in the first prototype of The Machine, which Hewlett Packard Labs hopes to unveil later this year, Garbee added.
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