Archive for the ‘Quantum Computing’ Category

Overcoming the innovation gap – SmartCitiesWorld

When we hear about smart cities and innovation, the sad truth is that this concept may be overpromising and underdelivering. What we hear about are the exceptions and the success stories. But you could argue that not enough cities are taking advantage of the plethora of valuable and transformative new ideas and products out there.

In short, there is an gap between the aspirations of cities and the true capabilities of smart city innovation. Understanding the source of this gap is key for more cities to be able to start harnessing the value of smart city technology.

The promise of smart cities lies in technological innovations. But to leverage this potential, cities need to adopt them. While some cities like London, Singapore and New York are aggressively pursuing this agenda, others are less keen. In order to understand why, let us consider the diffusion of innovation research. The sociologist Everett M. Rogers demonstrated more than half a century ago that technological innovations pass through different stages of adoption in a population. Some people are eager to try out anything just because it is new while others would rather roll over and die rather than pick up any new technology.

Before an innovation has permeated the entire population, it has to be adopted by all these different people. Rogers distinguished five different groups of adopters with very distinctive behaviour and characteristics.

Innovators have an almost obsessive interest in new ideas and are willing to take risks. They are willing to accept a high degree of uncertainty and that an innovation might fail.

Early adopters are the opinion leaders and are well respected. Others look to them for validation of an innovation. They are typically focused on gaining an edge through innovation and are financially more successful than their peers.

Early majority want to have firm confirmation that an innovation is efficient before adopting.

Late majority adopt an innovation as a result of peer pressure and approached with scepticism and caution. They typically have relatively scarce resources, which means that most of the uncertainty about an innovation must be removed.

Laggards tend to resist innovations outright. They are typically the most constrained on resources and have to be absolutely certain that an innovation does not fail before adopting

While Rogers focus was on individuals, organisations exhibit the same characteristics: some will adopt any new innovation like blockchain or quantum computing, while others feel safer holding on to their mainframes and fax machines for as long as possible.

The problem is that most cities fit the description of the last two categories. They are constantly pressed for resources and have no appetite for potential failure. They have to make sure that an innovation succeeds. The products they choose to adopt are already tried and tested in the market.

However, most smart city technologies are at the early stage of the adoption journey. They are being deployed by innovators and early adopters responsible for smart city policies. At present there are very few smart city solutions that have journeyed along the curve to achieve widespread deployment.

Deploying technology at an early stage also requires specific values and skills. Making something completely new work in an organisation is very different from managing existing infrastructure. A United Nations study into the motivation of public sector employees has found that civil servants are typically motivated more by helping for the common good rather than making cutting edge technology work.

Additionally, cities usually have a salary range that is low compared to what private companies can offer. The group of potential employees that are specialists in applying technological innovations are highly priced in the market. This means that cities often find it hard to compete for this talent.

Deploying technology at an early stage also requires specific values and skills.

This does not, however, mean that it is impossible for cities to overcome the innovation gap, it just means that it does not come naturally.

One further problem is that of citizens. Cities have residents that depend on how well these solutions function. There is increased scrutiny because they are spending taxpayer money. Cities are not a hot startup with an autocratic CEO that can just kill a product and move on if it doesnt work. The demands and expectations of citizens go some way to explain why cities have natural and well-founded reservations about innovations.

However, innovation is not the only thing that matters; the maturity of the solution is also important. When a city needs to source and implement a new solution, it can do so using a variety of different models:

In house developed by city employees. This usually has a low innovation potential because city employees are not typically recruited or rewarded for doing cutting edge work, but it will typically lead to more mature solutions.

Procurement developed on contract by third party. This can be a good way to implement a novel solution but requires that the city has control and a clear idea of what it expects from the implementation partner.

Sponsored developed for free by third party. While attractive and possibly a good way to source innovative solutions, cities need to make sure that the sponsoring party has adequate understanding of the problem area.

Public private partnerships collaboration between the city and vendors. This is potentially a powerful combination as cities have the subject matter expertise and vendors bring the technical know-how. While this can be efficient, the likes of intellectual property rights to the finished solution and future pricing for licensing support and operation needs to be sorted out upfront. Cities also need to be transparent in their dealings to avoid accusations of corruption.

Hackathons developed by individuals for free. These can be good for generating new ideas and approaches, but not mature products

Civic groups developed by residents in a group. These focus on bottom up interest from citizens and therefore can be good at generating novel ideas that bring immediate value. However, they are difficult to manage and often are best to engage with through openness and dialogue.

University collaborations developed by students and faculty for free or paid. Major cities often have university systems that bring an exceptional know how and potential for new ideas. The flip side is that universities are motivated more by interesting ideas than by bringing mature solutions to market.

These different forms of engagement can all work to fill the innovation gap. Cities can use them selectively for different areas depending on the maturity needed. Chosen carefully they may provide a patchwork of opportunities that support the city in a valuable way.

For example, working on a solution to find out how to identify all people with disabilities who need help in an evacuation may not need a very mature solution, since it just needs to produce a list. In this case, a university partnership or hackathon may be sufficient.

However, revamping the citys system of evaluating the chances of reoffending is not a likely candidate where the Move fast and break things model, since it has enormous consequences for residents lives. If this solution does not work, it could negatively affect crime levels. This clearly requires a different level of maturity so procurement or a public private partnership is more suitable in this case.

Understanding and experimenting with different models of engagement may help cities to better take advantage of smart city innovations. However, it requires the will to go outside traditional business as usual thinking.

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Overcoming the innovation gap - SmartCitiesWorld

Preparing for the Jobs of the Future: The Coding School and MIT Physicists Are Making Quantum Computing Accessible to High School Students This Summer…

LOS ANGELES, June 4, 2020 /PRNewswire/ --Quantum computinghas the potential to change the world, transforming fields such as artificial intelligence, medicine, and cybersecurity. Despite its growing importance, quantum is rarely taught to university students, let alone high school students.MIT researchers and The Coding School are changing that by offering a first-of-its-kind virtual quantum computing camp this summer to high school and first-year university students.

The goal of the camp is for students to develop foundational knowledge of quantum physics and practical skills in quantum computation. By the end of the camp, students learn how to program a quantum computer and run quantum circuits such as teleporting quantum information. Students globally can apply here.

The camp is led by Amir Karamlou, a graduate research fellow and instructor for MIT's Introduction to Quantum Computing. His research focuses on experimental quantum computation using superconducting qubits. Other instructors include Bharath Kannan, a PhD student researching microwave quantum optics, and Grecia Castelazo, studying Physics and Math at MIT.

"Today, we're at the dawn of a new era in computing technology. You don't need an advanced degree in physics to explore quantum computing. Over the next decade, quantum is likely to revolutionize the world in the same way the modern computer did in the mid-20th century. Students who develop knowledge in quantum now will be prepared for this world-altering technological movement," explained Karamlou.

The camp is part of a larger quantum initiative by The Coding School'scodeConnects program, a leading tech education nonprofit. Fall 2020, The Coding School will offer an unprecedented year-long quantum course for high school students. The virtual course is being led by Francisca Vasconcelos, a Rhodes Scholar and MIT graduate.

The Coding School is dedicated to ensuring computer science education is accessible, supportive, and empowering. Pioneering high-quality online, live coding education since 2017, they've taught over 70,000 hours of coding instruction to students nationwide and across 40 countries.

"To ensure long-term employability and social mobility, it's critical to look forward to the tech skills of the future and prepare students with those now. Quantum computation is one of those skills. We're proud at The Coding School to be paving the way in equipping the next generation by making quantum education accessible for all," remarked Kiera Peltz, founder of The Coding School.

To ensure accessibility, scholarships are available to students with financial need and who have been significantly affected by COVID-19, including if a parent has lost a job or is an essential worker.

Besides quantum computing, The Coding School offers other virtual camps for students grades 3-12 including a TechTaster, Music+Tech, and CreativeTech. For more personalized instruction, they offer one-on-one coding lessonsin 18 specialized curriculums, including AI and Cybersecurity.

Learn more: http://www.codeconnects.org/summercamps+ [emailprotected].

Media Contact: Abeer Dhanani(323) 790-9992[emailprotected]

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amir-karamlou.jpg Amir Karamlou Amir Karamlou, who is leading The Coding School's Quantum Computing Summer Camp, is a graduate fellow and instructor at MIT.

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codeConnects Quantum Computing Camp Registration

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SOURCE The Coding School's codeConnects Initiative

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Preparing for the Jobs of the Future: The Coding School and MIT Physicists Are Making Quantum Computing Accessible to High School Students This Summer...

Top Artificial Intelligence Investments and Funding in May 2020 – Analytics Insight

The startup scenario is being changed by bringing in investment and deal activity around intelligent automation and artificial intelligence, big data and machine learning. The data plainly demonstrates that new businesses that had AI as a core product are creating narrow AI tech packed away with the heaviest investment from leading VC firms and investors who are putting vigorously in deep tech startups in big data, enterprise AI and automation. It likewise underscores a great part of the financing going on in domain explicit breakthrough innovations, and not broadly useful AI tech.

Investment funds, venture capital (VC) firms and corporate financial specialists are venturing up equity investments in artificial intelligence (AI) start-ups, mirroring a developing worldwide interest for AI advances and their business applications.

The aggregate sum contributed and the worldwide number of deals has expanded enormously since 2011, yet wide varieties in investment profiles develop among nations and areas.

Lets look at some of the top AI investments which took place in the month of May 2020.

Runa Capital has closed its third investment fund with $157 million to back startups in deep tech areas such as artificial intelligence and quantum computing. The firm said Runa Capital Fund III surpassed its target of $135 million. The new capital will allow the company to continue its strategy of making investments that range between $1 million and $10 million in early-stage companies.

Cybersecurity threat remediation provider Dtex recently announced it has raised $17.5 million. The funds will be used to expand into new and existing verticals, including banking and financial services, critical infrastructure, government, defense, pharmaceuticals, life sciences, and manufacturing.

GigaSpaces, a startup developing in-memory computing solutions for AI and machine learning workloads, last month announced it has raised $12 million. The funds will be used to scale expansion and accelerate product R&D, according to CEO Adi Paz. Fortissimo Capital led the investment in three-year-old, New York-based GigaSpaces, joined by existing investors Claridge Israel and BRM Group. The round brings GigaSpaces total raised to $53 million, following a $20 million series D in January 2016.

Omilia, a startup developing natural language technologies, today announced it raised $20 million in its first ever financing round. Founder and CEO Dimitris Vassos says the capital will help strengthen Omilias go-to-market efforts as it eyes expansion in North America and Western Europe. Omilias product portfolio spans a conversational platform and solutions targeting voice biometrics, speech recognition, and fraud prevention.

Logistics startup DispatchTrack announced it raised $144 million in the companys first-ever financing round. CEO Satish Natarajan says it will be used to support product research and development, as well as business, segment, and geographic expansion. DispatchTrack was founded in 2010 by Satish Natarajan and Shailu Satish, a husband-and-wife team who focused on the furniture industry before expanding into building materials, appliances, food and beverage distribution, restaurants, field and home services, and third-party logistics.

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Analytics Insight is an influential platform dedicated to insights, trends, and opinions from the world of data-driven technologies. It monitors developments, recognition, and achievements made by Artificial Intelligence, Big Data and Analytics companies across the globe.

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Top Artificial Intelligence Investments and Funding in May 2020 - Analytics Insight

India and Australia pump $12.7 million into AI, quantum computing and robotics renewing their cyber and crit – Business Insider India

Maybe the next time can have hologram of your excellency, here in Australia You have always been a pioneer in the area of technology for India, and today is another good example of that, Australian Prime Minister Scott Morrison told Indias Prime Minister Narendra Modi during the virtual summit interaction.

The new four-year agreement includes a corpus of $12.7 million to fund research and development for Indian and Australian businesses and researchers that will help both countries improve their cyber resilience.

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She explained that the cyber and critical technology partnership ties into the countries' endeavour to create a cyber-resilient Indo-Pacific region that is open, free and rules-based.

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The two countries also plan on exploring the possibility of launching the Indian RuPay Card in Australia.

SEE ALSO:India and Australia sign defence deal to support a 'stable' and 'rules-based' Indo-Pacific region

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India and Australia pump $12.7 million into AI, quantum computing and robotics renewing their cyber and crit - Business Insider India

QCI Achieves Best-in-Class Performance with its Mukai Quantum-Ready Application Platform – Quantaneo, the Quantum Computing Source

These performance benefits eliminate one of the greatest obstacles to the development and adoption of quantum-ready applications, since up until now they have been slower than traditional methods running classically. The results show that Mukai provides better results than currently used software to solve complex optimization problems faced by nearly every major company and government agency worldwide.

While future quantum computers are expected to deliver even greater performance benefits, Mukai delivers today the best-known quality of results, time-to-solution, and diversity of solutions in a commercially available service. This superior capability enables business and government organizations to become quantum-ready today and realize immediate benefits from improved performance.

Optimization problems can occur in logistics routing, where timely delivery, reduced fuel consumption, and driver safety all come into play. Optimization solutions can significantly mitigate the impact to revenue or business operations posed by events such as flooding or power outages. Companies can leverage the robust and diverse solutions offered by Mukai to minimize disruptive high-impact events in real-time.

Optimization can also be achieved in R&D contexts like drug design, where better predicted protein folding can speed the design process, increase the efficacy of drugs, and guide the search for patient cohorts who might benefit. Optimization of business processes generated by solvers like Mukai can result in savings of hundreds of billions of dollars annually.

The technical study used MITs MQlib, a well-established combinatorial optimization benchmark, to compare QCI qbsolv performance with those of a variety of solvers. QCI qbsolv delivered better quality or energy of results for most problems (27 of 45) and often ran more than four times faster than the best MQlib solver (21 of 45 problems).

In terms of diversity of resultsfinding, for example, logistics routes that are quite different from each otherQCI qbsolv often found dozens of binary results that were different in more than 350 different positions (i.e., route segments). Known also to researchers as Hamming distance, diversity of results is another important advantage expected of quantum computing.

The paper, QCI Qbsolv Delivers Strong Classical Performance for Quantum-Ready Formulation, describes the full results and discusses their impact, and is available at arxiv.org/abs/2005.11294

These results demonstrate that Mukai-powered applications can exploit quantum computing concepts to solve real-world problems effectively using classical computers, noted QCI CTO, Mike Booth. More importantly, the quality, speed, and diversity of solutions offered by Mukai means government and corporate organizations can use Mukai to adopt quantum-ready approaches today without sacrificing performance. Mukai is also hardware-agnostic, enabling adopters to exploit whichever hardware delivers the quantum advantage. Were confident that leading companies can leverage Mukai today to achieve a competitive advantage.

To be sure, we are very early in the quantum computing and software era, continued Booth. Just as the vectorizing compilers for Crays processors improved radically over time, we are planning to introduce further performance improvements to Mukai over the coming months. Some of these advancements will benefit application performance using classical computers as well as hybrid quantum-classical scenarios, but all will be essential to delivering the quantum advantage. We expect Mukai to play an integral role in the quantum computing landscape by enabling organizations to tap into quantum-inspired insights today to better answer their high-value problems.

The Mukai software execution platform for quantum computers enables users and application developers to solve complex discrete constrained-optimization problems that are at the heart of some of the most difficult computing challenges in industry, government and academia. This includes, for example, scheduling technicians, parts and tools for aircraft engine repair, or designing proteins for coronavirus vaccines and therapies.

QCI recently announced version 1.1 of Mukai, which introduced higher performance and greater ease-of-use for subject-matter experts who develop quantum-ready applications and need superior performance today. Local software connects users to the Mukai cloud service for solving extremely complex optimization problems. It enables developers to create and execute quantum-ready applications on classical computers today that are ready to run on the quantum computers of tomorrow when these systems achieve performance superiority.

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QCI Achieves Best-in-Class Performance with its Mukai Quantum-Ready Application Platform - Quantaneo, the Quantum Computing Source