Category Archives: Quantum Computing
Global Quantum Computing Market: What it got next? Find out with the latest research available at PMI – Pro News Time
In this Quantum Computing Market Global Industry Analysis & Forecast to 2030 research report, the central factors driving the advancement of this industry were recorded and the business accessories and end overseers were indulgent. This statistical surveying Quantum Computing report investigates and inspects the industry and determines a widely inclusive estimate of its development and its details. Another perspective that was efficient is the cost analysis of the prime products driving in the Quantum Computing Industry remembering the overall revenue of the manufacturers.
The following key Quantum Computing Market insights and pointers are covered during this report:
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The prime manufacturers covered during this report are:
Wave Systems Corp, 1QB Information Technologies Inc, QC Ware, Corp, Google Inc, QxBranch LLC, Microsoft Corporation, International Business Machines Corporation, Huawei Technologies Co., Ltd, ID Quantique SA, and Atos SE.
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The report is an entire guide in providing complete Quantum Computing processes, cost structures, raw materials, investment feasibility, and investment return analysis. The SWOT analysis, market growth, production, profit, and supply-demand statistics are offered
The historical and future trends, prices, product demand, prospects, and Quantum Computing marketing channels are stated. The current business and progressions, future methodologies, market entrants are explained. The consumers, distributors, manufacturers, traders, and dealers in Business Intelligence (Bi) Software Market are covered. A comprehensive research methodology, market size estimation, market breakdown, and data triangulation is roofed.
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Global Quantum Computing Market: What it got next? Find out with the latest research available at PMI - Pro News Time
Podcast: The Overhype and Underestimation of Quantum Computing – insideHPC
https://radiofreehpc.com/audio/RF-HPC_Episodes/Episode260/RFHPC260_QuantumQuantum.mp3In this podcast, the Radio Free HPC team looks at how Quantum Computing is overhyped and underestimated at the same time.
The episode starts out with Henry being cranky. It also ends with Henry being cranky. But between those two events, we discuss quantum computing and Shahins trip to the Q2B quantum computing conference in San Jose.
Not surprisingly, there is a lot of activity in quantum, with nearly every country pushing the envelop outward. One of the big concerns is that existing cryptography is now vulnerable to quantum cracking. Shahin assures us that this isnt the case today and is probably a decade away, which is another way of saying nobody knows, so it could be next week, but probably not.
We also learn the term NISQ which is a descriptive acronym for the current state of quantum systems. NISQ stands for Noisy Intermediate Scale Quantum computing. The conversation touches on various ways quantum computing is used now and where its heading, plus the main reason why everyone seems to be kicking the tires on quantum: the fear of missing out. Its a very exciting area, but to Shahin, it seems like how AI was maybe 8-10 years ago, so still early days.
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Podcast: The Overhype and Underestimation of Quantum Computing - insideHPC
Charles Hoskinson Predicts Economic Collapse, Rise of Quantum Computing, Space Travel and Cryptocurrency in the 2020s – The Daily Hodl
The new decade will unfurl a bag of seismic shifts, predicts the creator of Cardano and Ethereum, Charles Hoskinson. And these changes will propel cryptocurrency and blockchain solutions to the forefront as legacy systems buckle, transform or dissolve.
In an ask-me-anything session uploaded on January 3rd, the 11th birthday of Bitcoin, Hoskinson acknowledges how the popular cryptocurrency gave him an eye-opening introduction to the world of global finance, and he recounts how dramatically official attitudes and perceptions have changed.
Every central bank in the world is aware of cryptocurrencies and some are even taking positions in cryptocurrencies. Theres really never been a time in human history where one piece of technology has obtained such enormous global relevance without any central coordinated effort, any central coordinated marketing. No company controls it and the revolution is just getting started.
And he expects its emergence to coalesce with other epic changes. In a big picture reveal, Hoskinson plots some of the major events he believes will shape the new decade.
2020 Predictions
Hoskinson says the consequences of these technologies will reach every government service and that cryptocurrencies will gain an opening once another economic collapse similar to 2008 shakes the markets this decade.
I think that means its a great opening for cryptocurrencies to be ready to start taking over the global economy.
Hoskinson adds that hes happy to be alive to witness all of the changes he anticipates, including a reorganization of the media.
This is the last decade of traditional organized media, in my view. Were probably going to have less CNNs and Fox Newses and Bloombergs and Wall Street Journals and more Joe Rogans, especially as we enter the 2025s and beyond. And I think our space in particular is going to fundamentally change the incentives of journalism. And well actually move to a different way of paying for content, curating content.
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Charles Hoskinson Predicts Economic Collapse, Rise of Quantum Computing, Space Travel and Cryptocurrency in the 2020s - The Daily Hodl
Google and IBM square off in Schrodingers catfight over quantum supremacy – The Register
Column Just before Christmas, Google claimed quantum supremacy. The company had configured a quantum computer to produce results that would take conventional computers some 10,000 years to replicate - a landmark event.
Bollocks, said IBM - which also has big investments both in quantum computing and not letting Google get away with stuff. Using Summit, the world's largest conventional supercomputer at the Oak Ridge National Laboratories in Tennessee, IBM claimed it could do the same calculation in a smidge over two days.
As befits all things quantum, the truth is a bit of both. IBM's claim is fair enough - but it's right at the edge of Summit's capability and frankly a massive waste of its time. Google could, if it wished, tweak the quantum calculation to move it out of that range. And it might: the calculation was chosen precisely not because it was easy, but because it was hard. Harder is better.
Google's quantum CPU has 54 qubits, quantum bits that can stay in a state of being simultaneously one and zero. The active device itself is remarkably tiny, a silicon chip around a centimetre square, or four times the size of the Z80 die in your childhood ZX Spectrum. On top of the silicon, a nest of aluminium tickled by microwaves hosts the actual qubits. The aluminium becomes superconducting below around 100K, but the very coldest part of the circuit is just 15 millikelvins. At this temperature the qubits have low enough noise to survive long enough to be useful
By configuring the qubits in a circuit, setting up data and analysing the patterns that emerge when the superpositions are observed and thus collapse to either one or zero, Google can determine the probable correct outcome for the problem the circuit represents. 54 qubits, if represented in conventional computer terms, would need 254 bits of RAM to represent each step of the calculation, or two petabytes' worth. Manipulating this much data many times over gives the 10 millennia figure Google claims.
IBM, on the other hand, says that it has just enough disk space on Summit to store the complete calculation. However you do it, though, it's not very useful; the only application is in random number generation. That's a fun, important and curiously nuanced field, but you don't really need a refrigerator stuffed full of qubits to get there. You certainly don't need the 27,648 NVidia Tesla GPUs in Summit chewing through 16 megawatts of power.
What Google is actually doing is known in the trade as "pulling a Steve", from the marketing antics of the late Steve Jobs. In particular, his tour at NeXT Inc, the company he started in the late 1980s to annoy Apple and produce idiosyncratic workstations. Hugely expensive to make and even more so to buy, the NeXT systems were never in danger of achieving dominance - but you wouldn't know that from Jobs' pronouncements. He declared market supremacy at every opportunity, although in carefully crafted phrases that critics joked defined the market as "black cubic workstations running NeXTOS."
Much the same is true of Google's claim. The calculation is carefully crafted to do precisely the things that Google's quantum computer can do - the important thing isn't the result, but the journey. Perhaps the best analogy is with the Wright Brothers' first flight: of no practical use, but tremendous significance.
What happened to NeXT? It got out of hardware and concentrated on software, then Jobs sold it - and himself - to Apple, and folded in some of that software into MacOS development. Oh, and some cat called Berners-Lee built something called the World Wide Web on a Next Cube.
Nothing like this will happen with Google's technology. There's no new web waiting to be borne on the wings of supercooled qubits. Even some of the more plausible things, like quantum decryption of internet traffic, is a very long way from reality - and, once it happens, it's going to be relatively trivial to tweak conventional encryption to defeat it. But the raw demonstration, that a frozen lunchbox consuming virtually no power in its core can outperform a computer chewing through enough wattage to keep a small town going, is a powerful inducement for more work.
That's Google's big achievement. So many new and promising technologies have failed not because they could never live up to expectations but because they cant survive infancy. Existing, established technology has all the advantages: it generates money, it has distribution channels, it has an army of experts behind it, and it can adjust to close down challengers before they get going. To take just one company - Intel has tried for decades to break out of the x86 CPU prison. New wireless standards, new memory technologies, new chip architectures, new display systems, new storage and security ideas - year after year, the company casts about for something new that'll make money. It never gets there.
Google's "quantum supremacy" isn't there either, but it has done enough to protect its infant prince in its superconducting crib. That's worth a bit of hype.
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Google and IBM square off in Schrodingers catfight over quantum supremacy - The Register
World High Performance Computing (HPC) Markets to 2025 – AI, IoT, and 5G will be Major Drivers for HPC Growth as they Facilitate the Need to Process…
DUBLIN, Jan. 9, 2020 /PRNewswire/ -- The "High Performance Computing (HPC) Market by Component, Infrastructure, Services, Price Band, HPC Applications, Deployment Types, Industry Verticals, and Regions 2020-2025" report has been added to ResearchAndMarkets.com's offering.
This report evaluates the HPC market including companies, solutions, use cases, and applications. Analysis includes HPC by organizational size, software and system type, server type, and price band, and industry verticals. The report also assesses the market for integration of various artificial intelligence technologies in HPC. It also evaluates the exascale-level HPC market including analysis by component, hardware type, service type, and industry vertical.
High Performance Computing (HPC) may be provided via a supercomputer or via parallel processing techniques such as leveraging clusters of computers to aggregate computing power. HPC is well-suited for applications that require high performance data computation such as certain financial services, simulations, and various R&D initiatives.
The market is currently dominated on the demand side by large corporations, universities, and government institutions by way of capabilities that are often used to solve very specific problems for large institutions. Examples include financial services organizations, government R&D facilities, universities research, etc.
However, the cloud-computing based as a Service model allows HPC market offerings to be extended via HPC-as-a-Service (HPCaaS) to a much wider range of industry verticals and companies, thereby providing computational services to solve a much broader array of problems. Industry use cases are increasingly emerging that benefit from HPC-level computing, many of which benefit from split processing between localized device/platform and HPCaaS.
In fact, HPCaaS is poised to become much more commonly available, partially due to new on-demand supercomputer service offerings, and in part as a result of emerging AI-based tools for engineers. Accordingly, up to 45% of revenue will be directly attributable to the cloud-based business model via HPCaaS, which makes High-Performance Computing solutions available to a much wider range of industry verticals and companies, thereby providing computational services to solve a much broader array of problems.
In a recent study, we conducted interviews with major players in the market as well as smaller, lesser known companies that are believed to be influential in terms of innovative solutions that are likely to drive adoption and usage of both cluster-based HPC and supercomputing.
In an effort to identify growth opportunities for the HPC market, we investigated market gaps including unserved and underserved markets and submarkets. The research and advisory firm uncovered a market situation in which HPC currently suffers from an accessibility problem as well as inefficiencies and supercomputer skill gaps.
Stated differently, the market for HPC as a Service (e.g. access to high-performance computing services) currently suffers from problems related to the utilization, scheduling, and set-up time to run jobs on a supercomputer. We identified start-ups and small companies working to solve these problems.
One of the challenge areas identified is low utilization but (ironically) also high wait times for most supercomputers. Scheduling can be a challenge in terms of workload time estimation. About 20% of jobs are computationally heavy 30% of jobs cannot be defined very well in terms of how long jobs will take (within 3-minute window at best). In many instances, users request substantive resources and don't actually use computing time.
In addition to the scheduling challenge, we also identified a company focused on solving additional problems such as computational planning and engineering. We spoke with the principal of a little-known company called Microsurgeonbot, Inc. (doing business as MSB.ai), which is developing a tool for setting up computing jobs for supercomputers.
The company is working to solve major obstacles in accessibility and usability for HPC resources. The company focuses on solving a very important problem in HPC: Supercomputer job set-up and skills gap. Their solution known as "Guru" is poised to make supercomputing much more accessible, especially to engineers in small to medium-sized businesses that do not have the same resources or expertise as large corporate entities.
Key Topics Covered
1 Executive Summary1.1 Companies in Report1.2 Target Audience1.3 Methodology
2 Introduction2.1 Next Generation Computing2.2 High Performance Computing2.2.1 HPC Technology2.2.1.1 Supercomputers2.2.1.2 Computer Clustering2.2.2 Exascale Computation2.2.2.1 United States2.2.2.2 China2.2.2.3 Europe2.2.2.4 Japan2.2.2.5 India2.2.2.6 Taiwan2.2.3 High Performance Technical Computing2.2.4 Market Segmentation Considerations2.2.4.1 Government, NGOs, and Universities2.2.4.2 Small Companies and Middle Market2.2.5 Use Cases and Application Areas2.2.5.1 Computer Aided Engineering2.2.5.2 Government2.2.5.3 Financial Services2.2.5.4 Education and Research2.2.5.5 Manufacturing2.2.5.6 Media and Entertainment2.2.5.7 Electronic Design Automation2.2.5.8 Bio-Sciences and Healthcare2.2.5.9 Energy Management and Utilities2.2.5.10 Earth Science2.2.6 Regulatory Framework2.2.7 Value Chain Analysis2.2.8 AI to Drive HPC Performance and Adoption
3 High Performance Computing Market Analysis and Forecast 2020-20253.1 Global High Performance Computing Market 2020-20253.1.1 Total High Performance Computing Market 2020-20253.1.2 High Performance Computing Market by Component 2020-20253.1.2.1 High Performance Computing Market by Hardware and Infrastructure Type 2020-20253.1.2.1.1 High Performance Computing Market by Server Type 2020-20253.1.2.2 High Performance Computing Market by Software and System Type 2020-20253.1.2.3 High Performance Computing Market by Professional Service Type 2020-20253.1.3 High Performance Computing Market by Deployment Type 2020-20253.1.4 High Performance Computing Market by Organization Size 2020-20253.1.5 High Performance Computing Market by Server Price Band 2020-20253.1.6 High Performance Computing Market by Application Type 2020-20253.1.6.1 High Performance Technical Computing Market by Industry Vertical 2020-20253.1.6.2 Critical High Performance Business Computing Market by Industry Vertical 2020-20253.1.1 High Performance Computing Deployment Options: Supercomputer vs. Clustering 2020-20253.1.2 High Performance Computing as a Service (HPCaaS) 2020-20253.1.3 AI Powered High Performance Computing Market3.1.3.1 AI Powered High Performance Computing Market by Component3.1.3.2 AI Powered High Performance Computing Market by AI Technology3.2 Regional High Performance Computing Market 2020-20253.3 Exascale Computing Market 2020-20253.3.1 Exascale Computing Driven HPC Market by Component 2020-20253.3.2 Exascale Computing Driven HPC Market by Hardware Type 2020-20253.3.3 Exascale Computing Driven HPC Market by Service Type 2020-20253.3.4 Exascale Computing Driven HPC Market by Industry Vertical 2020-20253.3.1 Exascale Computing as a Service 2020-2025
4 High Performance Computing Company Analysis4.1 HPC Vendor Ecosystem4.2 Leading HPC Companies4.2.1 Amazon Web Services Inc.4.2.2 Atos SE4.2.3 Adavnced Micro Devices Inc.4.2.4 Cisco Systems4.2.5 DELL Technologies Inc.4.2.6 Fujitsu Ltd.4.2.7 Hewlett Packard Enterprise (HPE)4.2.8 IBM Corporation4.2.9 Intel Corporation4.2.10 Microsoft Corporation4.2.11 NEC Corporation4.2.12 NVIDIA4.2.13 Rackspace Inc.4.1 Companies to Watch4.1.1 Braket Inc.4.1.1 MicroSurgeonBot Inc. (MSB.ai)
5 Conclusions and Recommendations5.1 AI to Support Adoption and Usage of HPC5.2 5G and 6G to Drive Increased Demand for HPC
6 Appendix: Future of Computing6.1 Quantum Computing6.1.1 Quantum Computing Technology6.1.2 Quantum Computing Considerations6.1.3 Market Challenges and Opportunities6.1.4 Recent Developments6.1.5 Quantum Computing Value Chain6.1.6 Quantum Computing Applications6.1.7 Competitive Landscape6.1.8 Government Investment in Quantum Computing6.1.9 Quantum Computing Stakeholders by Country6.1 Other Future Computing Technologies6.1.1 Swarm Computing6.1.2 Neuromorphic Computing6.1.3 Biocomputing6.2 Market Drivers for Future Computing Technologies6.2.1 Efficient Computation and High Speed Storage6.2.2 Government and Private Initiatives6.2.3 Flexible Computing6.2.4 AI-enabled, High Performance Embedded Devices, Chipsets, and ICs6.2.5 Cost Effective Computing powered by Pay-as-you-go Model6.3 Future Computing Market Challenges6.3.1 Data Security Concerns in Virtualized and Distributed Cloud6.3.2 Funding Constrains R&D Activities6.3.3 Lack of Skilled Professionals across the Sector6.3.4 Absence of Uniformity among NGC Branches including Data Format
For more information about this report visit https://www.researchandmarkets.com/r/xa4mit
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Tucson Morning Blend Top 5 Tech Trends you’ll love this year. Heather Rowe 1:27 – KGUN
NEW TECH STUFF TO MAKE OUR LIVES BETTER IN 2020 In the decade now drawing to a close, every part of our lives our personal lives, our businesses and careers became fully digital. And with the 2020s now upon us, were going to see even more massive changes as the tech we use gets further refined and as technology that was dreamed up only recently becomes part of our daily routines! Here are five of the top technologies that IBM says will revolutionize the year and decade ahead:
1. Artificial Intelligence will turbo-charge productivity both personally, and professionally.
While artificial intelligence probably wont take your job, it will change how you work. In the coming decade, expect to see AI making its way into all sorts of workplaces around the world automating routine tasks that will free up your time to concentrate on parts of your job that are more satisfying and meaningful. And there will be lots of new jobs and career possibilities for those who gain the skills to work in technology fields.
2. Blockchain will help to make the food you eat safer than ever.
Food recalls keep consumers constantly on their toes affecting their shopping habits, and calling produce and pantry items into question. But blockchain networks like IBM Food Trust (which is used by a growing number of retailers including Walmart, Albertsons and Carrefour as well as major food suppliers like Dole) are helping to trace foods from the farm to your fork. What is blockchain? Its a digital ledger that means means consumers now have unprecedented insight into exactly where their food has come from and it doesnt stop with food blockchain now tracks global shipments, marriages and more. Right now were able to track food shipments on the blockchain via apps and in the next decade, well see this cutting edge technology become a part of everyday life.
3. Edge Computing will have a big impact on retail, and on the tech you use on your cell phone.
Today's consumer electronics, cars and electric vehicles, and all sorts of other digital devices are equipped with sensors that collectively generate tons of data. Today theres an estimated 15 billion intelligent devices operating on the outer edges of the network, and by 2022, that number is expected to reach 55 billion. In order to make sense of all of the information from these devices, well see massive growth in whats called edge computing: the use of compact, efficient computer servers located at the networks edges/near these smart devices that can process data locally, instead of sending it all back to a data center via the cloud.. The next decade will see a surge in edge computing, aided by the rollout of 5G technology and while consumers wont see edge computing it will transform the way retailers stock the latest goods you buy, and it will affect how cellphone carriers support mobile gaming and augmented reality and more.
4. From cloud computing to the Hybrid Cloud: what you need to know.
You know how when youre getting ready to pack for a big trip, you need to gather stuff from all over the place to make your vacation work? You might have clothes and shoes spread out between multiple closets, your suitcase is in the basement, your passport (which needs to stay super secure) is in a safe. Well, businesses with lots of data are the same way: they might have some info in one type of cloud, some info in another, and more stuff on three servers in two different states. Thats why more and more businesses are turning to hybrid cloud: its a technology infrastructure that makes it easy for companies to quickly access data wherever its stored to make it usable and easy to analyze. For consumers, this means theyre being helped by retailers and companies more quickly all with their data being safer than ever.5. Quantum computing moves from the realm of the theoretical (and from being a sci-fi movie plotline!) into the world of practical experiments and applications.
Its not necessary to be a quantum physicist to grasp the main point of quantum computing: it seeks to solve complex problems that have been considered unsolvable using classical computers alone. IBM is a leader on making quantum technology available to industry, academia and anyone else inspired by quantum computings potential. As the next decade unspools well see quantum computing moving from the lab to the mainstream and it will start to solve problems in chemistry, medicine and more.
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Tucson Morning Blend Top 5 Tech Trends you'll love this year. Heather Rowe 1:27 - KGUN
Honeywell names Top 11 Innovations of 2019 – wingsmagazine.com
Honeywell published an online post of what it sees to be the Top 11 breakthrough technologies that will shape the future, with a primary emphasis on aviation as well as the manufacturing and processes helping to drive the industry forward. The following Top 11 list was produced by Honeywell, with the company first describing What the innovation is and then Why it will be impactful. Honeywell notes many of these technologies already had a major influence over the past year.
1. Power for air taxisWhat: This was a major year for advancements in Urban Air Mobility (UAM) and soon air taxis will be a future mode of transportation. This means the airspace will be more crowded than ever. A new Compact Fly-By-Wire system, used in traditional aircraft, has been redesigned for air taxis. It is about the size of a paperback book.
Why its innovative: The compact computer system packs the brains of an aircrafts flight controls into one system. Operating as though the autopilot is always on, it brings agility, stability and safety to future electronic virtual takeoffs and landings.
2. Surveillance cameras forsee buyer behaviorWhat: Security cameras, which traditionally monitor for theft, can now be used to help retailers make decisions about product displays, operating hours and staffing.
Why its innovative: Surveillance systems can predict future trends by monitoring buyer behavior and store patterns. This comes in handy for retailers who can analyze that data and influence how shoppers experience stores, ultimately boosting sales.
3. Access to Quantum ComputingWhat: This long-awaited technology goes from theory to impact with a new partnership with Microsofts Azure Quantum that will give organizations around the world access to quantum computing through an open cloud system.
Why its innovative: Quantum computing is a step closer to becoming a more common reality. Businesses and organizations will be able to use it to tackle problems they never would have attempted before.
4. Intelligent hearing protectionWhat: The VeriShield headset and cloud-based technology monitor noise levels that workers are exposed to, providing real-time alerts when noise exceeds safe levels.
Why its innovative: Managers can remotely monitor sounds affecting workers with a smartphone or mobile computer and alert employees to potential issues. The first-of-its-kind headset collects data on noise patterns and gives insights into long-term exposure. That helps companies develop an effective noise conservation program to protect workers hearing.
5. Robotic cargo unloadingWhat: Robots now can unload tractor trailers full of inventory at distribution centers. The Robotic Unloader eliminates the need for people to work inside the heat of a tractor trailer that can be strenuous and unsafe.
Why its innovative: Artificial intelligence gets the job done without an operator. That improves safety, offsets shortages in staffing and minimizes damage to goods.
6. Predictive airplane maintenanceWhat: With Honeywell Forge for Airlines, software combines individual aircraft and overall airline data into one dashboard, airlines can predict aircraft maintenance to fix parts before they break.
Why its innovative: Because its predictive and not just preventative, the technology helps reduce flight delays caused by unexpected repairs. That helps airlines maximize profits, improve efficiency and safety and protect passengers.
7. Real-time data makes work more efficientWhat: Most of todays global workforce do not work at a desk. These deskless workers in airports, hospitals and other industries often rely on clipboard methods to do their jobs. With Honeywell Forge technology, pen and paper methods can be replaced with mobile computers to input data immediately. Software analyzes that data and gives immediate insight.
Why its innovative: Reducing inefficient steps of inputting data from paper save time and money. It also gives visibility to worker productivity and the ability to harness institutional knowledgea key priority as workforces get older.
8. Digital twins get smart about maintenanceWhat: Businesses that depend on equipment can use digital twin technology to mirror physical assets of a company. The digital version can use data from the physical equipment to predict machine availability, inefficient operations and maintenance needs.
Why its innovative: The ability to predict maintenance can optimize efficiency. Now, instead of having to stop operations or shut down for maintenance, plants can protect uptime and save money.
9. Fast communication during emergenciesWhat: Every second counts in a crisis. Traditional emergency communications may include relatively slow paging or color code signaling. Now, staff at hospitals, schools, airports and other high density buildings can use the Command and Control Suite to customize communications between specific teams, based on the severity of the situation.
Why its innovative: The command and control suite provides enhanced facility visualization, enhanced map navigation and broader editing capabilities.
10. Virtual engineering and controlWhat: A new generation of control system technology which is the hardware and software that operate industrial plants no longer relies on sequential project flows. With Experion Process Knowledge System (PKS) Highly Integrated Virtual Environment (HIVE) the virtualization approach unchains controllers and control applications from physical equipment and shifts day-to-day management of servers to a centralized data center. This allows operators to make late changes without their traditionally inherent risks and re-work.
Why its innovative: The technology simplifies control system design, implementation and lifecycle management. That enables plants to execute projects in less time, at lower cost and lower risk, while improving throughput, quality and operational reliability.
11. Machine learning to fight cyberattacksWhat: In an industrial environment, algorithms that detect anomalies immediately identify risks to systems in industrial controls environments.
Why its innovative: Detecting risk adds an additional layer of protection against cyberattacks. The algorithms analyze for risk that can be missed by common cybersecurity threat detectors. That includes threats like polymorphic malware, which changes constantly to avoid detection, and emerging types of threats. It operates on real-time data to immediately identify new and emerging dangers to industrial control systems and the Industrial Internet of Things.
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Honeywell names Top 11 Innovations of 2019 - wingsmagazine.com
19 Most In-Demand Tech Jobs in Silicon Valley (and the Companies Hiring) – Dice Insights
Its a New Year, and in Silicon Valley, things are off to a weird start. Last year ended with a handful of unicorn startups either outright imploding (WeWork) or grievously underperforming (Uber), while some tech giants are undergoing a bit of an existential crisis (witness Googles co-founders deciding to step away from active duties). Its definitely not business as usual.
Despite those troubles, tech-industry unemployment remains low, and theres still lots of venture capital for startups that can demonstrate a pathway to a viable product (and perhaps even profitability). The biggest tech firms, meanwhile, are pouring considerable funding into cutting-edge areas such asmachine learning, artificial intelligence (A.I.), quantum computing, andadvanced data science.
With all that in mind, which jobs are currently most in-demand in Silicon Valley and nearby San Francisco? In order to answer that question, we turn to Burning Glass, which collects and analyzes millions of job postings from across the country. Over the past 30 days, Silicon Valley employers have posted the following positions the most:
What can we conclude from this list? Although tech companies are willing to pay top dollar for specialists in A.I. and other fields, they still have (and will likely always have) a pressing need for technologists who make sure that company operations run smoothly, day in and day out. This includes software developers (with a focus on applications), web developers (because websites must keep running, no matter what), and computer systems engineers/architects (because IT infrastructure is always evolving).
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Analysts and architects crop up on this list at several points, and thats no surprise, either. Companies need architects to build out infrastructure (and wrangle with the data that infrastructure holds); they also need analysts who can glean effective insights from all the collected consumer and business data.
And which companies are actually doing the hiring? Fortunately, we have a breakdown of that, as well:
Apple, Uber, and Salesforce top Burning Glasss list of Silicon Valley job postings over the past 30 days. No surprise there: All three companies are fixtures of the Bay Area, and bothAppleand Salesforce have considerable momentum behind them at the moment. That Uber is hiring is interesting, considering the firmlaid off hundreds of workers last yearbut perhaps its executives have decided on a new strategy that requires a new class of engineers and developers.
Although San Francisco and Silicon Valley offerhigh median salariesto technology workers, theres a substantial catch: the areascost of living is absurdly expensive, and sometimes comes paired with an annoyingly long commute (just ask all those San Francisco residents who must drive down to Mountain View or Cupertino every day). Meanwhile, smaller cities with a lower cost of living aredeveloping robust tech scenes of their own, both in terms of companies and open tech jobs. Silicon Valley looks like its going to continue to offer great opportunities in 2020, but It faces a fierce competition for talent with other cities and regions.
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19 Most In-Demand Tech Jobs in Silicon Valley (and the Companies Hiring) - Dice Insights
January 9th: France will unveil its quantum strategy. What can we expect from this report? – Quantaneo, the Quantum Computing Source
It is eagerly awaited! The "Forteza" report, named after its rapporteur, Paula Forteza, Member of Parliament for La Rpublique en Marche (political party of actual President Emmanuel Macron), should finally be officially revealed on January 9th. The three rapporteurs are Paula Forteza, Member of Parliament for French Latin America and the Caribbean, Jean-Paul Herteman, former CEO of Safran, and Iordanis Kerenidis, researcher at the CNRS. Announced last April, this report was initially due at the end of August, then in November, then... No doubt the complex agenda, between the social movements in France, and the active participation of the MP in the Parisian election campaign of Cdric Villani, mathematician and dissident of La Rpublique en Marche... had to be shaken up. In any case, it is thus finally on January 9th that this report entitled "Quantum: the technological shift that France will not miss", will be unveiled.
"Entrusted by the Prime Minister in April 2019, the mission on quantum technologies ends with the submission of the report by the three rapporteurs Paula Forteza, Jean-Paul Herteman, and Iordanis Kerenidis. Fifty proposals and recommendations are thus detailed in order to strengthen France's role and international position on these complex but highly strategic technologies. The in-depth work carried out over the last few months, fueled by numerous consultations with scientific experts in the field, has led the rapporteurs to the conclusion that France's success in this field will be achieved by making quantum technologies more accessible and more attractive. This is one of the sine qua non conditions for the success of the French strategy", explains the French National Congress in the invitation to the official presentation ceremony of the report.
The presentation, by the three rapporteurs, will be made in the presence of the ministers for the army, the economy and finance, and higher education and research. The presence of the Minister of the Armed Forces, as well as the co-signature of the report by the former president of Safran, already indicates that military applications will be one of the main areas of proposals, and possibly of funding. Just as is the case in the United States, China or Russia.
Of course, the report will go into detail about the role of research, and of the CNRS, in advances in quantum computing and communication. Of course, the excellent work of French researchers, in collaboration with their European peers, will be highlighted. And of course, France's excellence in these fields will be explained. France is a pioneer in this field, but the important questions are precisely what the next steps will be. The National Congress indicates that this report will present 50 "proposals and recommendations". Are we to conclude that it will be just a list of proposals? Or will we know how to move from advice to action?
These are our pending questions:
- The United States is announcing an investment of USD 1.2 billion, China perhaps USD 10 billion, Great Britain about 1 billion euros, while Amazon's R&D budget alone is USD 18 billion... how can a country like France position itself regarding the scale of these investments? To sum up, is the amount of funds allocated to this research and development in line with the ambitions?
- Mastering quantum technologies are becoming a geopolitical issue between the United States and China. Should Europe master its own technologies so as not to depend on these two major powers? On the other hand, is this not the return of a quantum "Plan calcul from the 60s? How can we avoid repeating the same mistakes?
- Cecilia Bonefeld-Dahl, Managing Director of DigitalEurope recently wrote that Europe risks being deprived of the use of quantum technologies if it does not develop them itself. Christophe Jurzcak, the head of Quantonation, stated that it is not certain that France will have access to quantum technologies if it does not develop them itself. Is this realistic? Do we have the ressources?
- French companies currently invest very little in research in the field of quantum computing. With the exception of Airbus, the main feedback that we know of is in Canada, Australia, Spain, Germany, etc. Should we also help companies to embrace these technologies, or should we only finance research and development on the part of universities and business creators? Is there a support component for companies? So that technologies are not simply developed in France and sold elsewhere, but that France is the leading market for local developments.
See you on January 9th on Decideo for more details and our objective analysis of the content of this document.
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January 9th: France will unveil its quantum strategy. What can we expect from this report? - Quantaneo, the Quantum Computing Source
News Content Hub – Five emerging technologies for the 2020s – Riviera Maritime Media
Light-fidelity
LiFi (or light fidelity) will transform how machines and seafarers communicate in the future. It is 10 times faster and far more reliable than wireless fidelity (wifi).
This technology, pioneered at the University of Edinburgh, UK, uses light waves instead of radio signals to transmit information. LiFi is therefore an ideal medium for real-time and deterministic wireless data communications.
Data connections with LiFi will offer consistent quality and transmission times in the microsecond range. It is suitable for mobile applications in maritime industrial robotics and automation technology a true enabler of autonomous ship technology for the future.
Satellite grappling
Maritime communications will be boosted by highly powered low-Earth orbit (LEO) satellites providing VSAT connectivity. However, a key limiting factor to constructing and operating LEO (as well as other satellite constellations of the future) will be their decommissioning and disposal.
Space junk will be an increasingly challenging issue for the satellite industry in the coming decade because of the risk of a collision impacting communications.
A technology has emerged to remedy the situation. Altius Space Machines is developing methods for orbital rendezvous, capture, de-orbit and active debris removal. This relies on developing grappling fixtures and capture techniques.
OneWeb is building these fixtures in to its LEO satellites as it prepares to commission 30 per month over the next two years.
These same fixtures could be used for satellite servicing, in-space propellant transfer and on-orbit assembly, offering the potential to prolong the life of existing satellites and the reliability of maritime communications.
Quantum computers
Computer power is a key enabler of data analytics and simulation, so the faster the better. Supercomputers have made significant advances through the last decade. But future developments will be in quantum computing.
This technology uses qubits as tiny stores of data and a fundamental building block of quantum computers. It is already being used in financial research and will be used in data centres and cloud services.
Googles tests have shown a 53-qubit quantum computing chip calculated a task in 200 seconds compared with 10,000 years for conventional supercomputers.
That could transform artificial intelligence, analytics and simulations for design, reducing port congestion and seafarer training.
Harmonic radar
In man overboard situations, conventional radar struggles to identify the casualty. Technology has been developed by German institutes and a radar manufacturer that will improve search and recovery to save lives.
It is almost impossible to disseminate a person in the sea using radar because of the clutter from sea wave reflections disturbing the radar signal.
But the SEERAD technology boosts the signal from a person in the sea over this clutter using harmonic radar. It uses two radar antenna on a ship operating on different frequency bands and a frequency-converting transponder integrated into a lifejacket.
The benchmark for harmonic radar systems was identifying the target at 1 km with a transmission power of 1,000 W. Tests in the Baltic Sea in 2019 demonstrated SEERAD could locate a dummy with a transponder at a distance of 6 km with a transmission power of only 100 W.
Nanotechnology
The future for anti-corrosion and biofouling will involve nanotechnology. This will offer a pioneering solution to coatings to prevent the adherence of biomass. Nanostructured coatings using nanoparticulate substances could replace conventional paints.
These substances form and interact when corrosion and biofouling processes begin. They maximise the anti-adherent or repulsive capabilities of a surface, eliminating the need for biocide. Nanotechnology could also be used for fuel additives and alternative power systems in the future.
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News Content Hub - Five emerging technologies for the 2020s - Riviera Maritime Media