Executive Summary

Its time to rethink your digital strategy in the context of people. Its not just about adding new technologies like quantum computing, IoT, or AI, but how that tech will make your employees connect more effectively with their work. Its also time to shift from the here-and-now and look further out, revisiting your long-term strategies. To get the most out of your technology investments, you need to hit the pause button and think more about how you can connect your people to the goals you hope to achieve with that technology.

When the pandemic hit in March, many companies long-term plans and strategies were thrown out the window, as everyone from the frontlines to the C-suite shifted into fire-fighting mode. Many worked around the clock by leveraging remote technology. Its often been exhausting, as each day seems to bring new challenges and obstacles to overcome. As a result, the past six months have felt more like six years to a lot of us.

This pace isnt sustainable. While you may have needed your organization to run at 200 miles-per-hour as you learned to adjust to the new realities of the pandemic, youre now risking serious burnout among your team. Research shows that employees are reporting alarming levels of stress and fatigue, and the risk for depression among U.S. workers has risen by 102% as a result of the Covid-19 pandemic.

This is becoming a serious threat to organizations, including those who have already been forced to lay off staff or downsize. The paradox is that while many organizations have gained new efficiencies from embracing digital transformation using technologies such as Zoom to keep their workforce functioning remotely they may now risk losing their best employees, many of whom feel disconnected and disengaged in this new digital workplace. A recent survey from the consultancy KPMG found that losing talent is now the number one risk organizations face.

Thats why its time to rethink your digital strategy in the context of people. Its not just about adding new technologies like quantum computing, IoT, or AI, but how that tech will make your employees connect more effectively with their work. Its also time to shift from the here-and-now and look further out, revisiting your long-term strategies. To get the most out of your technology investments, you need to hit the pause button and think more about how you can connect your people to the goals you hope to achieve with that technology.

Over the course of my career, Ive studied more than 1,000 organizations and have coached more than 100 organizations that have undergone significant transformations. Over the past five years, Ive been particularly interested in the impact of DT and how organizations can leverage technology for growth. What Ive learned is that most digital transformation efforts fail often spectacularly which leads to hundreds of billions of dollars in wasted investment and the deterioration of employee engagement.

My mission has been to help coach organizations to achieve more positive outcomes through their digital transformation efforts. More recently, Ive been researching how the model I developed last year a transformation framework in partnership with the Project Management Institute (PMI), called The Brightline Transformation Framework can be applied to Covid-19 and its impact on organizational efforts to embrace digital transformation.

Specifically, this approach aligns the inside-out which means aligning every employees most important personal aspiration with the outside-in, where employees understand and embrace the companys strategic vision, so that everyone is working toward the same objectives.

Outside-In Approach. Employees must first understand and embrace the companys north star, including customer insights and megatrends, so everyone is working toward the same objectives.

Inside-Out Approach. Aligning every employees purpose or personal north star with those of the company includes:

Taking this approach is more relevant than ever in the wake of the pandemic, as it emphasizes that employees personal goals and engagement are the critical factors underpinning every successful transformation much more so than other elements like technology or business processes.

For organizations to thrive in a post-Covid world, while simultaneously tackling the challenges of burnout and the threat to employee retention, there is an urgent need to rethink these two key areas:

1. Bring the Outside In

The pandemic has changed the landscape of many industries ecosystems leading to an existential crisis for many organizations. Consider Airbnb, whose business suffered a loss of a billion dollars due to guest cancellations all while paying out some $250 million to compensate their hosts for their losses. The company now recognizes that nothing will ever be the same again. To help engage their team in adjusting to the new realities of the marketplace, the leadership team embarked on an outside-in transformation exercise that helped them identify their new north star; the transformational goal they wanted to achieve that could help propel the company forward for the long run.

As CEO Brian Chesky framed it, the companys new goal was to get back to our roots, back to the basics, back to what is truly special about Airbnb everyday people who host their homes and offer experiences. One of the trends Chesky and his team identified was that, as a result of the pandemic, there is a growing acceptance that people can now work from anywhere which could open up new opportunities to service customers interested in traveling and experiencing unique communities and cultures for an extended time. At the same time, the company has begun winding down activities that werent core to the business such as scaling back on investments in transports, hotels, and luxury properties.

2. Align Your Inside-Out with the Outside-In

Once Airbnb had established where it wanted to go, the company embarked on an inside-out journey with its employees helping them connect to the companys new north star by creating personal/team vision statements that aligned with the greater goal to help create the human connections that so many people miss these days. The idea was to enlist employees help in rebuilding the business, and to enlist their feedback on how they could directly impact the companys efforts to scale and prosper again.

Another Outside-In/Inside-Out transformation effort has been occurring at Kasikornbank (KBank), one of the largest banks in Thailand. [Disclosure: they are a client of mine.] The companys north star was not only to save jobs they kept all their workers during the pandemic but also to save their customers: small and medium-sized businesses. KBank and its employees worked closely with thousands of their clients to help them weather the storm by offering to delay their loan payments, as long as those businesses also avoided layoffs the kind of program usually only initiated by governments. Its estimated that KBanks efforts saved some 41,000 jobs, which gave their employees a sense of purpose, confidence, and loyalty as a result of their organization making such a positive difference to their country.

Covid-19 has taught us how connected and integrated we all are with each other and with the communities in which we operate. Its now time to give your employees the opportunity to understand how your organizations north star aligns with their desire to contribute to a meaningful cause. Thats how you get them to re-engage while recharging their emotional energy stores. The longer you wait to make these connections, the more your organization is at risk of losing the human capital it requires to thrive into the future, regardless of how much you spend on technology.

Original post:
Put Employees at the Center of Your Post-Pandemic Digital Strategy - Harvard Business Review

What areas are covered? Theres Nexperia LED drivers, Fujitsu quantum computing, STs acquisition of SOMOS Semiconductor, Chinas share of the foundry market and the issue of Arm being legally required to hire more staff

5. Nexperia launches LED drivers in compact packageNexperia has brought out a range of LED drivers in the DFN2020D-6 (SOT1118D) package. This case style features side-wettable flanks (SWF) which facilitate the use of AOI (automated optical inspection), and improve reliability. This is the first time LED drivers have been available in this package. The leadless devices join Nexperias wide range of LED drivers in leaded packages offering equivalent performance yet reducing PCB space by up to 90% compared to SOT223.

4. Fujitsu collaborates to make practical quantum computing a realityFujitsu has joined with Riken and the universities of Tokyo, Osaka and Delft to make practical quantum computing a reality. The collaboration aims to achieve comprehensive and efficient advances in quantum computing by applying quantum computing to various fields currently facing problems that are extremely difficult to solve. Currently, even using superconducting chips which are leading the way in quantum computing, systems remain limited to about 50-qubits, making it hard to perform useful calculations.

3. ST buys SOMOS SemiconductorST has bought the assets of SOMOS Semiconductor of Marly-le-Roy (France) which specialises in silicon-based power amplifiers and in RF Front-End Modules products. With this acquisition, ST reinforces its specialist staff, IP and roadmaps of Front-End Modules for the IoT and 5G markets. A first product an NB-IoT / CAT-M1 module is already undergoing qualification and will be the inception of a new roadmap of connectivity RF FEM products.

2. China to take 22% of foundry market this yearChinas share of the pure-play foundry market is forecast to be 22% in 2020, 17 percentage points greater than it registered in 2010 (Figure 1). China was responsible for essentially all of the total pure-play foundry market increase in 2018. In 2019, the U.S./China trade war slowed Chinas economic growth but its foundry marketshare still increased by two percentage points to 21%. Japan is expected to remain the smallest market for pure-play foundry sales with only a 5% share this year.

1. Arm committed to hire 490 UK staff by September next yearArm is legally obliged to hire 490 UK-based staff in the next 12 months to meet the commitment undertaken by its owner Softbank when it bought the company in July 2016. Softbank committed to doubling the UK headcount by September 2021. When Softbank bought Arm it had 1,747 UK staff when Softbank bought it. Last week, takeover panel filings last week showed that it had increased UK staff numbers by 262 in the last 12 months to 3,004.

Here is the original post:
Most Read articles - LED drivers, Foundry market, Arm staffing - Electronics Weekly

Bill Reichert, Partner, Pegasus Tech Ventures

For roughly 75 years, the fundamental architecture of computers has not changed much. Certainly, the hardware has changed tremendously, and software has evolved accordingly. But the basic idea of storing instructions and data in binary code, and using on/off digital hardware to execute mathematical and logical operations, has remained roughly the same for decades.

All that is changing.

The same advances in semiconductor fabrication technology that powered Moores Lawthe exponential increase in the power of computers over the last several decadeshave enabled hardware engineers to develop new architectures that promise to transform the computing landscape over the coming decades.

At the same time, software engineering is also progressing. Marc Andreessen has famously said, Software is eating the world. What he did not make clear, though, is that virtually all the progress in computing over the past 30 years has been thanks to hardware, not software.

Heterogeneous Computing

New architectures, however,require that both software engineers and hardware engineers work together. A new class of hardware is emerging that takes advantage of what is called heterogeneous computing, multi-core chips that incorporate multiple different co-processors on the chip that are optimized for specialized tasks. Writing software that takes full advantage of these new chips is extremely challenging, and so companies like SambaNova Systems are developing operating systems and software compilers that optimize the application code automatically and allocate resources to compute tasks dynamically in real-time as computing demands change.

AI Chips

With the emergence of deep neural network software, engineers realized that Graphics Processing Units, an architecture commercialized by Nvidia, were nicely designed for doing the massive matrix calculations required by neural network models. But GPUs are not exactly optimized for AI, and so there has been an explosion of startups seeking to develop chips that offer 10x or 100x the performance and power efficiency of GPUs. On the server side, companies like Cerebras Systems and Graphcore, and more recently SambaNova, are promising order of magnitude improvements. And on the edge, companies like Gyrfalcon Technology, Syntiant, and Blaize are promising even greater improvements inperformance and power efficiency.

Virtually all the progress in computing over the past 30 years has been thanks to hardware, not software

Edge Computing

The second half of the 20th century was all about moving computing from centralized mainframe computers to desktop and laptop distributed computers. With the development of a high-speed Internet, the thinking shifted, and an application could sit in the cloud and support thousands, even millions, of users. But as the Internet of Things took off and enabled data collection from literally billions of devices, moving all that data up to the cloud in order to crunch it has become a challenge. Now companies are looking to process data at the edge, at the point of collection, rather than sending it up to the cloud, thereby reducing latency and cutting bandwidth and storage costs. At its simplest level, edge computing filters out unimportant data and sends only the most important data to the cloud. For more complex tasks, such as autonomous driving, edge computing requires processing massive AI models and making very accurate judgments in milliseconds. For these tasks, the new special-purpose chips discussed above and below are fighting for design wins.

Analog Computing

As brilliant as binary code is for enabling absolutely precise calculations, the real world is analog, not digital, and many compute tasks could be done more efficiently if we could operate with analog values rather than having to digitize them. But analog computing is imprecise, and most computing problems require exact values, not approximate values. (How much money do you have in your bank account?) Some problems, like AI inference and monitoring sensor data, do not need six sigma precision to get the right answer or make the right decision. Companies like Mythic, Analog Inference, and Aspinity are incorporating analog computing architectures into their chips to make them up to 100x more efficient solving problems involving data from our analog world.

Photonic Computing

Light has been used for digital communications and computer networks for decades, but using photons to do the math and putting photonic processors on a chip are extremely challenging. That is what several startups are trying to do. Spinning technologies out of MIT and Princeton, three companies, Lightelligence, Lightmatter, and Luminous Computing, are racing to commercialize the first photonic chip for doing AI inference at the edge.

Neuromorphic Computing

In spite of what the media portrays as the imminent cyber-apocalypse where robots rebel against their human masters and take over the world, we are a long way away from the science fiction world imagined in popular culture. The fact is that the human brain is still massively more powerful and efficient than the most powerful supercomputers on earth. But computer scientists think there is a path to create an artificial brain. The branch of artificial intelligence that uses neural network mathematical frameworks to compute information in a manner similar to the human brain is sometimes referred to as neuromorphic, because it mimics human neuro-biology. But researchers have been working on models that even more closely mimic the human brain in its design and efficiency. The brain sends signals as electrochemical spikes, not digital bytes, and the brains roughly 86 billion neurons are interconnected in a way that is very different from transistors on a chip. Researchers at Stanford, Intel, IBM, and several startup companies, such as Rain Neuromorphics and BrainChip, are trying to develop hardware and software that uses neuromorphic principles to deliver very high-power computing on very small semiconductor chips.

Quantum Computing

Almost certainly the most radical initiative in computing is the attempt to harness the potential of quantum computing. At the subatomic level, particles of matter behave in extraordinary and wonderful ways they can exist in more than one state simultaneously, and they can entangle with one another across a distance without any apparent physical connection. It turns out that electronic devices like transistors and diodes wouldnt even work if the universe were strictly Newtonian. If we can figure out how to control the quantum properties of light and matter the way we figured out how to use gears to make adding machines and transistors to make computers, we will be able to make quantum computers that are as superior to current supercomputers as supercomputers are to adding machines.

Some people say we are still a long way away from quantum supremacy, when quantum computers can solve problems that no classical computer can solve. But recent advances indicate that we may not be that far away from quantum advantage, when quantum computers can solve certain specialized problems faster than classical computers.

Already big players like IBM, Google, Intel, Honeywell, and Microsoft are demonstrating machines that can execute quantum algorithms and startups like Rigetti Computing,IonQ, and PsiQuantum are joining the race, along with quantum software companies like QC Ware, Cambridge Quantum Computing, and Zapata Computing. Big corporations and governments are investing in projects that will take advantage of the power of quantum computing in chemistry, pharmaceuticals, finance, logistics, failure analysis, and artificial intelligence.

Each of these emerging technologies promises to significantly advance computing, and with these advances will come new technology leaders. The evolution of computing has given rise to multiple generations of spectacular success stories like IBM, Intel, Microsoft, Nvidia, Google, and Amazon Web Services. Most of these companies are trying to reinvent themselves to catch the next wave of computing technology, but certainly new companies will emerge in these new sectors, and some famous names will founder and go the way of the dinosaurs, like Univac, Digital Equipment, MIPS, and Silicon Graphics. Meanwhile, corporate CIOs will have to decide where to place their bets and start investing in these new technologies, if they havent already.

More:
The Future of Computing: Hype, Hope, and Reality - CIOReview

Graphene, one of the world's strongest materials, isn't normally magnetic. But when stacked and twisted, graphene develops a rare form of magnetism, new research finds.

The magnetic field isn't created by the usual spin of electrons within the individual graphene layers, but instead arises from the collective swirling of electrons in all of the three-layers of the stacked graphene structure, researchers reported Oct. 12 in the journal Nature Physics.

Graphene is a material made of a single layer (or monolayer) of carbon atoms arranged in a honeycomb pattern. It's incredibly light and strong (though it is vulnerable to cracking). It also conducts electricity, making it exciting for use in electronics and sensors.

Related: Elementary, my dear: 8 little-known elements

"We wondered what would happen if we combined graphene monolayers and bilayers into a twisted three-layer system," Cory Dean, a physicist at Columbia University in New York and one of the senior authors on the new paper, said in a statement. "We found that varying the number of graphene layers endows these composite materials with some exciting new properties that had not been seen before."

Dean and his colleagues stacked two layers of graphene and then added a single layer on top, rotating the stack by 1 degree. They then studied this graphene sandwich in a variety of circumstances, including temperatures just above absolute zero (the point at which all molecular motion stops). At these low temperatures, they found that the graphene stopped conducting electricity and became an insulator instead.

They also found that they could control the properties of the twisty stack of graphene by applying an electric field. When the electric field was oriented in one direction, the system acted like a twisted double layer of graphene. When they reversed the field, the stack took on the properties of a twisted four-layer graphene structure.

Perhaps strangest of all was the rare magnetism that appeared in the three-layer structure. A study published by another group in the journal Advanced Materials found that graphene bonded with boron nitride can give rise to a strange magnetic field; that field arose from the molecular bonds of the carbon in graphene and the boron in boron nitride. The new research reveals that this same type of magnetism can occur in pure graphene alone, simply because of interactions between carbon molecules.

"Pure carbon is not magnetic," study co-author Matthew Yankowitz, a physicist at the University of Washington in Seattle, said in the statement. "Remarkably, we can engineer this property by arranging our three graphene sheets at just the right twist angles."

The structure also contains regions where the properties are undisturbed by the twisting of the layer. These unique areas in the material could be exploited for data storage or quantum computing applications, study co-author Xiaodong Xu, also at the University of Washington, said in the statement.

The researchers are now planning to delve deeper into the fundamental properties of the graphene structure. "This is really just the beginning," Yankowitz said.

Originally published on Live Science.

Continue reading here:
Rare magnetism found in the world's strongest material - Live Science

An all inclusive report will suit business requirements in many ways while also assisting in informed decision making and smart working. Company profiles of the key market competitors are analysed with respect to company snapshot, geographical presence, product portfolio, and recent developments. To figure out market landscape, brand awareness, latest trends, possible future issues, industry trends and customer behaviour, the finest market research report is very essential.Market research report provides myriad of benefits for a prosperous business.This report is the best to gain a competitive advantage in this quickly transforming marketplace.

Data Bridge Market Research recently released GlobalQuantum ComputingMarket research with more than 250 market data tables and figures and an easy to understand TOC in Global Quantum Computing Market research, so you can get a variety of ways to maximize your profits.Quantum Computingpredicted until 2026.The Quantum Computing market research report classifies the competitive spectrum of this industry in elaborate detail. The study claims that the competitive reach spans the companies of

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Be the first to knock the door showing potential that Global Quantum Computing market is holding in it. Uncover the Gaps and Opportunities to derive most relevant insights from our research document to gain market size.

Global Quantum Computing Market :

Global quantum computing market is projected to register a healthyCAGR of 29.5% in the forecast period of 2019 to 2026.

On the off chance that you are associated with the Quantum Computing Analytics industry or mean to be, at that point this investigation will give you far reaching standpoint. Its crucial you stay up with the latest Quantum Computing Market segmented by:If you are involved in the Quantum Computing industry or intend to be, then this study will provide you comprehensive outlook. Its vital you keep your market knowledge up to datesegmentedBy System (Single Qubit Quantum System and Multiple Qubit System), Qubits (Trapped Ion Qubits, Semiconductor Qubits and Super Conducting), Deployment Model (On-Premises and Cloud), Component (Hardware, Software and Services), Application (Cryptography, Simulation, Parallelism, Machine Learning, Algorithms, Others), Logic Gates (Toffoli Gate, Hadamard Gate, Pauli Logic Gates and Others), Verticals (Banking And Finance, Healthcare & Pharmaceuticals, Defence, Automotive, Chemical, Utilities, Others) and Geography (North America, South America, Europe, Asia- Pacific, Middle East and Africa) Industry Trends and Forecast to 2026

Unlock new opportunities with DBMR reports to gain insightful analyses about the Quantum Computing market and have a comprehensive understanding. Learn about the market strategies that are being adopted by your competitors and leading organizations also potential and niche segments/regions exhibiting promising growth.

New vendors in the market are facing tough competition from established international vendors as they struggle with technological innovations, reliability and quality issues. The report will answer questions about the current market developments and the scope of competition, opportunity, cost and more.

According to the Regional Segmentation the Main Bearing Market provides the Information covers following regions:

The key countries in each region are taken into consideration as well, such as United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

Market Dynamics:

Set of qualitative information that includes PESTEL Analysis, PORTER Five Forces Model, Value Chain Analysis and Macro Economic factors, Regulatory Framework along with Industry Background and Overview.

Some of the Major Highlights of TOC covers:

Chapter 1: Methodology & Scope

Definition and forecast parameters

Methodology and forecast parameters

Data Sources

Chapter 2: Executive Summary

Business trends

Regional trends

Product trends

End-use trends

Chapter 3: Quantum Computing Industry Insights

Industry segmentation

Industry landscape

Vendor matrix

Technological and innovation landscape

Chapter 4: Quantum Computing Market, By Region

North America

South America

Europe

Asia-Pacific

Middle East and Africa

Chapter 5: Company Profile

Business Overview

Financial Data

Product Landscape

Strategic Outlook

SWOT Analysis

Thanks for reading this article, you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.

BROWSE FREE | TOC with selected illustrations and example pages of Global Quantum Computing Market @https://www.databridgemarketresearch.com/inquire-before-buying/?dbmr=global-quantum-computing-market&sc

In addition, the years considered for the study are as follows:

Historical year 2014-2019 | Base year 2019 | Forecast period 2020 to 2027

Key Insights that Study is going to provide:

The 360-Quantum Computing overview based on a global and regional level

Market Share & Sales Revenue by Key Players & Emerging Regional Players

Competitors In this section, various Quantum Computing industry leading players are studied with respect to their company profile, product portfolio, capacity, price, cost, and revenue.

A separate chapter on Market Entropy to gain insights on Leaders aggressiveness towards market [Merger & Acquisition / Recent Investment and Key Developments]

Patent Analysis** No of patents / Trademark filed in recent years.

A complete and useful guide for new market aspirants

Forecast information will drive strategic, innovative and profitable business plans and SWOT analysis of players will pave the way for growth opportunities, risk analysis, investment feasibility and recommendations

Supply and Consumption In continuation of sales, this section studies supply and consumption for the Quantum Computing Market. This part also sheds light on the gap between supply and consumption. Import and export figures are also given in this part

Production Analysis Production of the Quantum Computing is analyzed with respect to different regions, types and applications. Here, price analysis of various Quantum Computing Market key players is also covered.

Sales and Revenue Analysis Both, sales and revenue are studied for the different regions of the Quantum Computing Market. Another major aspect, price, which plays an important part in the revenue generation, is also assessed in this section for the various regions.

Other analyses Apart from the information, trade and distribution analysis for the Quantum Computing Market

Competitive Landscape:Company profile for listed players with SWOT Analysis, Business Overview, Product/Services Specification, Business Headquarter, Downstream Buyers and Upstream Suppliers.

May vary depending upon availability and feasibility of data with respect to Industry targeted

Inquire for further detailed information of Global Quantum Computing Market Report @https://www.databridgemarketresearch.com/inquire-before-buying/?dbmr=global-quantum-computing-market&sc

Key questions answered in this report-:

Research Methodology: Global Quantum Computing Market

Primary Respondents:OEMs, Manufacturers, Engineers, Industrial Professionals.

Industry Participants:CEOs, V.P.s, Marketing/Product Managers, Market Intelligence Managers and, National Sales Managers.

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Global quantum computing market is projected to register a healthy CAGR of 29.5% in the forecast period of 2019 to 2026. - re:Jerusalem