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IBM and Mastercard among partners of 11.1m Irish quantum project – Siliconrepublic.com

October 23, 2020 | Author: admin

A new 11.1m project has launched with the aim of uniting Irelands various quantum computer research groups.

Some of the biggest names in tech and research have joined forces with the aim of bolstering Irelands quantum computer efforts. The 11.1m Quantum Computing in Ireland (QCoir) initiative will work on a software platform integrating multiple quantum bit technologies being developed in Ireland.

Unlike a traditional binary computer that uses binary bits which can be either one or zero a quantum bit (qubit) can be one, zero or both at the same time. This gives quantum computers the power to solve some of the worlds most complex problems in a fraction of the time that it would take a binary computer.

QCoir partners include Equal1 Labs, IBM, Rockley Photonics, Maynooth University, the Tyndall National Institute, University College Dublin and Mastercard. The project received 7.3m in funding under the Disruptive Technologies Innovation Fund, a 500m fund established under Project Ireland 2040.

Quantum computing is seen as the future of computer technology, said Dr Emanuele Pelucchi, head of epitaxy and physics of nanostructures at Tyndall, based at University College Cork.

Its computing built on the principles of quantum physics, creating, storing and accessing data at atomic and subatomic levels to create vastly powerful computers.

Sources of multiple entangled photons uniquely allow for preparation of highly entangled quantum states. QCoir will leverage the on-chip photonic qubit platform based on site-controlled III-V quantum dots. These unique dots were developed at Tyndall.

Tyndalls CEO, Prof William Scanlon, added that the partnership will set the foundations for a national quantum ecosystem.

It brings together hardware and software providers with application users, and sees multinationals working side by side with researchers and SMEs, he said.

These kinds of industry and academic research partnerships are what will allow Ireland to build a quantum value proposition at international scale.

Quantum computing research is continuing to progress in Ireland. Earlier this year, a team from Trinity College Dublin said it had taken a major step towards the holy grail of quantum computing: a stable, small-scale quantum computer.

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Quantum Computing Market Research including Growth Factors, Types and Application by regions by 2026 – Eurowire

October 23, 2020 | Author: admin

TheQuantum Computing market research report offers a comprehensive analysis of market size, segmentation market growth, market share, competitive landscape, regional and country-level market size, the impact of Covid-19 on Quantum Computing industry & revenue pocket opportunities, sales analysis, impact of domestic and global market players, value chain optimization, new developments, M&A, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

The meticulous data of the Quantum Computing market helps to know the current & future business situation. This report helps to take decisions for industry leaders include business professionals such as Chief Executive Officer (CEO), general managers, vice presidents, decision-makers and sales directors. The global Quantum Computing market showing promising growth opportunities over the forthcoming years.

The Quantum Computing market size is expected to grow at a CAGR of 21.26% in the forecast period of 2020 to 2026 and will expected to reach USD 381.6 Mn by 2026, from USD 81.6 Mn in 2018.

Browse Full Research report along with TOC, Tables & Figures:https://www.alltheresearch.com/report/150/Quantum Computing

Forproduct type segment, this report listed the main product type of Quantum Computing market

Forapplications segment, this report focuses on the status and outlook for key applications. End users are also listed.

This report covers the following regions:

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Key segments covered in the Quantum Computing market report:Major key companies, product type segment, end use/application segment and geography segment.

Company segment, the report includes global key players of Quantum Computing as well as some small players:

The information for each competitor includes:

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University of Rhode Island names respected professor, researcher, computational scientist to lead research computing efforts – URI Today

October 23, 2020 | Author: admin

KINGSTON, R.I. Oct. 22, 2020 The University of Rhode Island has named Gaurav Khanna, Ph.D., its founding director of Research Computing. Khanna comes to URI from the University of Massachusetts Dartmouth where he served as a professor of physics and co-director of the universitys Center for Scientific Computing & Visualization Research.

A respected leader in research computing for more than a decade, Khanna has directed several scientific computing efforts at UMass Dartmouth, including supporting the research efforts of faculty members across the campus. He also served as the founding director for the interdisciplinary Engineering & Applied Sciences Ph.D. program, the largest Ph.D. program at UMass Dartmouth.

Im looking forward to building a research computing center at the University of Rhode Island that will help support and grow the research efforts of both junior and established researchers across its campuses, says Khanna. I intend to develop a wide array of computational resources (local, regional, cloud) with full support, to advance the diverse research work underway at Rhode Islands only public research university.

Khanna also served on multiple committees in the UMass system that play a role in the governance of the Massachusetts Green High-Performance Computing Center and noted the opportunity to make similar advances at URI, I look forward to the center innovating in the space of green and energy-efficient computing, and in the emerging area of quantum computing.

As an accomplished researcher in the area of black hole and gravitational physics, Khanna has been funded by the National Science Foundation for nearly two decades and has published nearly 100 papers in top peer-reviewed research journals. His research has been covered widely in outlets including Wired, Forbes, BBC, HPCWire, Discovery, Space.com and the New York Times.

Khanna earned a Bachelor of Technology degree from the Indian Institute of Technology Kanpur, India in 1995. He earned his Ph.D. from Penn State in 2000.

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Quantum Computing in Aerospace and Defense Market Trends and Forecast to 2028 – TechnoWeekly

October 23, 2020 | Author: admin

Quantum Computing in Aerospace and Defense

COVID-19 Industry impact

The market research extensively explores the effect of the COVID-19 outbreak on the market for Quantum Computing in Aerospace and Defense Market. Limits resulting in low sales and sector operators dominating the hospitality industry are at risk due to the lockdowns imposed to contain the spread of the virus, as cafes and restaurants have closed temporarily. Demand from food service providers is expected to recover, as the COVID-19 pandemic restrictions are easy. However, some participants may be forced to leave the sector.

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Features of Key Market Research

Overview of the Market Study:

The market research also analyses methods such as PORTER analysis, PEST analysis, and SWOT analysis to provide companies with quality evaluation. It helps arrange and inspire companies investment strategies for a particular business segment in the near future. The review of market attributes, market overview, industry chain, historical and future data by categories, applications, and regions, and competition landscape are included in this market research. Industry research involves analyzing the global environment in order to estimate the markets vulnerabilities, assets, opportunities, and risks.

Insights on the Market

The purpose of the market study is to include evidence, estimates, statistics, historical data, and market data verified by the industry, as well as the appropriate methodology and evaluation for a full market evaluation. The market research also helps understand the structure by evaluating the dynamics of the market segments. Market segmentation is split on the basis of content, form, end-user, and region.

Segmentation of the Market

This detailed market analysis of Quantum Computing in Aerospace and Defense Market also provides a thorough summary and description of every segment offered in the analysis. Based on their market size, growth rate, and general attractiveness in terms of investment information and incremental value growth, the main segments are benchmarked. Market segmentation is divided into sub-groups, based on certain significant common attributes, into a wide customer or business market.

Segmented By Component (Hardware, Software, Services), By Application (QKD, Quantum Cryptanalysis, Quantum Sensing, Naval)

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Regional Estimation:

In terms of different geographies, the Quantum Computing in Aerospace and Defense Market report provides a comprehensive perspective on industry growth over the projected period, including Asia Pacific ( APAC), Europe (EU), North America (NA), Latin America (LATAM), and Middle East & Africa (MEA) revenue estimates.

Business Competitive Background:

The competitive market for Quantum Computing in Aerospace and Defense is measured by the number of domestic and foreign players participating in the market. The main focus is on the companys growth, merger, acquisition, and alliance, along with new product creation as measured strategies implemented by influential corporations to improve their customer market presence. D-Wave Systems Inc, Qxbranch LLC, IBM Corporation, Cambridge Quantum Computing Ltd, 1qb Information Technologies Inc., QC Ware Corp., Magiq Technologies Inc., Station Q-Microsoft Corporation, and Rigetti Computing are the prominent market participants examined and profiled in this study.

Highlights of the Market

The market study presents information on key manufacturers of Quantum Computing in Aerospace and Defense Market and revenues, profits, recent growth, and market share of key players. In order to evaluate the global and key regionsQuantum Computing in Aerospace and Defense Market advantages, potentials, opportunity, constraints, threat, and risks, the report has divided the breakdown data by category, regions, businesses, and applications.

By covering all markets, offering quality analysis, and insights to help our customers make the right choices, the market study offers solutions. The latest trends, niche areas, and leading company profiles are included in the study. To provide reliable and useful information, the market research database consists of numerous reports updated on a regular basis.

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New York needs to be reimagined with technology and job training – Crain’s New York Business

October 23, 2020 | Author: admin

Our response to Covid-19 offers a similar opportunity. Although theres no doubt we must focus on addressing immediate problems (schools, contact tracing, saving small businesses), we also should put thought into New Yorks future. Repairing is one thing, but designing a foundation is another. The new street grid, transit reforms and development policies that came out of 9/11 attest to the importance of the latter.

New York leaders should therefore take a few steps to chart the 21st century. In addition to controlling the virus and helping people in need, we must develop a grand strategy that recognizes the economic changes that were already happening before the pandemic, and leverage them in a way that benefits everyone.

Step one: capitalizing on emerging industries. Here the tech sector is a good starting point. Not only will tech companies continue to grow, but so too will tech aid and fuel the growth of every other kind of business. The areas that we should invest in include cybersecurity, quantum computing, artificial intelligence, transportation and smart manufacturing. Not only are they slated to create many jobs, but they also will increasingly undergird every other industry. A recent study on the projected impact of quantum computing on the New York economy, for instance, found that more than 57,000 new jobs will be generated in this area during the next five years, with that number expected to continue to grow as the technology advances. Policymakers and entrepreneurs need to work together to ensure that momentum keeps moving into the next decade, and create the right business conditions for New York to become an emerging tech hub.

Another way of putting this is reinvention by necessity. With more and more of our lives happening in a virtual world, the safety and efficiency challenges facing organizations have changed. Cyber threats, for example, are now a regular vulnerability for businesses and governments alike. Companies need rapid data processing like never before. Quantum computing and advanced malware detection are crucial for the economy. Not only will emerging tech generate growth, but it will also be a necessary component for the economy of tomorrow.

The next steps are doubling down on workforce development and ensuring that people can actually break into the sectors. Job openings in AI and cybersecurity dont mean much if New Yorkers arent qualified for them. We, therefore, need to expand our roster of digital skills programmingwhich includes computer science in the classroom, boot camps for aspiring coders, and a bevy of private training classes for entrepreneurs and workers. If the tech economy is to be inclusive, well need to put as much emphasis on teaching people the requisite skills as we do teaching them arithmetic.

Closing the digital divide is another step. Before Covid-19, we were already spending a lot of time online. In the midst of the pandemic, that trend has been amplified. People now need speedy, affordable internet connections to do their job, go to school, pay bills and get through each day. The fact that there are disparities in internet access is an impediment to the economy and only exacerbates existing inequalities. A strong 5G network throughout the city and state would help solve that issue and ultimately allow workers to take the necessary steps to move into the tech sector.

The good news is we already have parts of the foundation. New York has nearly unlimited investment resources, and state and local leaders have shown their appreciation for what tech can do.

The key is tying all the parts together and creating a new economy that offers opportunities to all.

Lynn McMahon is themanaging director of Accentures metro New York office. Julie Samuels is the executive director of Tech:NYC.

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Global Smart Cities Market Analysis 2020-2025: AI, IoT, and 5G (AIoT5G) will be the Most Influential Technologies – 63%, 34%, and 52% Respectively -…

October 23, 2020 | Author: admin

DUBLIN, Oct. 22, 2020 /PRNewswire/ -- The "Smart Cities Market by Strategy, Technology, and Outlook for Solutions, Applications and Services 2020 - 2025" report has been added to ResearchAndMarkets.com's offering.

This report evaluates the smart cities market including leading vendors and strategies (such as a single vs. multi-vendor centric approach), infrastructure, solutions, applications, and services. The report analyzes market factors driving solution adoption, technology readiness and fitness for use, and other considerations.

The report assesses the aforementioned factors to derive penetration and revenue to forecast market value for the period of 2020 - 2025. The report also analyses the role of technology accelerating digital transformation including AI, edge processing, 5G deployment and usage, and advanced data analytics.

Technological innovation is one of the driving factors for the development of cities. These innovations are also an important support for those searching for new ways to manage resources and deliver services. A lot of smart city technologies are being developed to manage specific issues in energy distribution, energy management, transportation management, and public safety. New generations of sensor networks, big data analytics, and IoT applications are being deployed in public and privately managed physical spaces to meet these requirements, though many challenges remain.

An important focus area for smart cities is technology infrastructure to enable smart utilities (smart grids, sanitation, water, and gas), smarter buildings, and workplaces. Systems and resources are intertwined as mobility, communications, energy, water, platforms, monitoring/control, performance management, predictability and forecasting all merge together. We see great synergy coming in public and corporate collaboration, but it will take up to twenty years to fully develop.

Major initiatives are beginning to make a substantial positive impact as critical milestones are achieved. This includes network and system interoperability, security and privacy controls, and technology integration. For the latter, one of the key areas that we see is the combination of AI and IoT forming "thinking" cities that rely upon the Artificial Intelligence of Things (AIoT). Industry verticals we see as early beneficiaries include utilities, public safety, and transportation. Specific AIoT-enhanced smart city solutions within these verticals are poised to improve the overall efficiency and operational effectiveness of delivery systems as well as human capital management.

Select Report Findings:

Select Report Benefits:

Key Topics Covered:

1.0 Executive Summary

2.0 Smart City Overview2.1 A Global Need for a Smarter Urban Environment2.2 All Cities are "Smart" but some are Smarter than Others

3.0 Smart City Strategy and Planning3.1 Smart City Considerations3.1.1 Existing vs. New City Approach3.1.2 Smart City Development Factors3.1.3 Smart City Services Life Cycle3.1.4 Smart Community Services3.2 Smart City Business Models3.2.1 Build Own Operate (BOO)3.2.2 Build Operate Transfer (BOT)3.2.3 Build Operate Manage (BOM)3.2.4 Open Business Model (OBM)

4.0 Smart City Market Analysis4.1 Smart City Market Drivers4.1.1 High Bandwidth, Low Latency, and Reliable Communications4.1.2 Reduced Energy Consumption with Smart Energy Solutions4.1.3 Active Citizen Engagement Leads to Greater Smart City Support4.1.4 Improving Governance Services and National Security4.1.5 Accelerating Digital Transformation4.1.6 Fostering Urban Development4.2 Smart City Solution Focus Areas4.2.1 Smart Utilities4.2.2 Smart Transportation: Roadways, Vehicles, and Parking4.2.3 Smart Residences, Commercial Buildings, and Workplaces4.2.4 Smart Industries4.3 Specific Smart City Solution Areas4.3.1 Asset Tracking and Control4.3.2 Field and Home Area Network Solutions4.3.3 AI and Big Data supported Smart City Hubs4.3.4 Smart City Applications in Citizen Service4.3.5 Mobility Solutions, Governance, and Security in Smart Cities

5.0 Smart City Technology Analysis5.1 Machine to Machine and Internet of Things5.1.1 Machine to Machine Technologies and Communications5.1.2 Internet of Things in Smart Cities5.2 Smart City Data Management Technologies and Solutions5.3 Artificial Intelligence in Smart Cities5.3.1 Artificial Intelligence of Things (AIoT) in Smart Cities5.3.2 Combined AIoT and Data Analytics in Smart Cities5.4 Metropolitan and Wide Area Communications5.4.1 WiMAX5.4.2 LTE5.4.3 5G5.5 Short Range Communication Technology5.5.1 WiFi5.5.2 RFID5.5.3 Li-Fi5.6 Next Generation Computing support of Smart Cities5.6.1 Edge Based Computing: Localized Processing5.6.2 High Performance and Quantum Computing

6.0 Smart City Development by Region and Country

7.0 Smart City Value Chain and Application Analysis7.1 Smart City Ecosystem Analysis7.2 Smart City Product and Service Provider Opportunity Analysis7.2.1 Smart City Network Service Providers7.2.2 Smart City Integrators7.2.3 Smart City Product Vendors7.2.4 Smart City Managed Service Providers7.3 Equipment vs. Software and Service based Approach

8.0 Smart City Vendor and Service Provider Analysis8.1 2020 Imaging8.2 ABB8.3 Accela8.4 Accenture8.5 Aclara8.6 Aclima8.7 Advantech8.8 Aeris Communications8.9 AGT International8.10 Airspan8.11 Airtel8.12 Alibaba8.13 Allegro8.14 Ally8.15 Alstom SA8.16 Altair Semiconductor8.17 Alvarion8.18 Amazon8.19 Ambience Data8.20 AMCS8.21 AMD8.22 America Movil8.23 Amplia Soluciones SL8.24 Analog Devices Inc.8.25 Apple8.26 Appyparking8.27 Altran8.28 Arista Networks Inc.8.29 ARM Holdings8.30 Ascom8.31 Asus8.32 AT&T8.33 Atos8.34 Autogrid8.35 Ayyeka8.36 Azavea8.37 Baidu Inc.8.38 Banyanwater8.39 Barbara IoT8.40 Bentley Systems8.41 Blackberry Ltd8.42 Bosch Software Innovations GmbH8.43 Breezometer8.44 Bridj8.45 Broadcom Corporation8.46 BT Group8.47 Blyncsy8.48 Calthorpe Analytics8.49 Capgemini8.50 Cavium Inc.8.51 China Mobile8.52 China Unicom8.53 Ciena Corporation8.54 CIMCON Lighting8.55 Cisco8.56 Citrix Systems8.57 Cityflo8.58 Citymapper8.59 Civicsmart8.60 Clarity Movement Co.8.61 Cobham Wireless8.62 Colt8.63 Compology8.64 Contus8.65 Cradlepoint8.66 Cubic Corporation8.67 CyanConnode8.68 Dassault Systems8.69 Delta Controls8.70 Dispatchr8.71 Double Map8.72 DOVU8.73 Elichens8.74 Emagin8.75 Emerson Electric Co8.76 Enel8.77 Energyworx8.78 Enevo8.79 ENGIE8.80 Ericsson8.81 Evopark8.82 EZparking8.83 Fathom8.84 Filament8.85 Flamencotech8.86 Flowlabs8.87 Fluentgrid8.88 GE8.89 Getmy Parking8.90 Google8.91 Gridcure8.92 HCL Technologies Ltd8.93 HFCL8.94 Hitachi8.95 Honeywell8.96 HPE8.97 Huawei8.98 IBM8.99 Infarm8.100 Inrix8.101 Inspira8.102 Intel8.103 Intelizon Energy8.104 Inventum Technologies8.105 Itron8.106 Johnson Controls8.107 Kapsch Group8.108 Koninklijke Philips NV8.109 KORE Wireless8.110 LG CNS8.111 Libelium8.112 Logic Ladder8.113 Mapillary8.114 Maven Systems8.115 Meter Feeder8.116 Metrotech8.117 Microsoft8.118 Mindteck8.119 Miovision8.120 Mobike8.121 Moovel8.122 Moovit8.123 NEC8.124 Neighborland8.125 Nokia8.126 Nordsense8.127 NTT DATA8.128 One Concern8.129 Oorja On Move8.130 Opendatasoft8.131 Opusone8.132 Oracle Corporation8.133 Panasonic8.134 Parkwhiz8.135 Passport8.136 Phoenix Robotix8.137 Plume Labs8.138 Proclivis Technology Solutions8.139 Purplewifi8.140 QInfra Solutions8.141 Qualcomm Incorporated8.142 Quality Theorem8.143 Rachio8.144 Remix8.145 Ridlr8.146 Rubicon8.147 SAP8.148 Schneider Electric SA8.149 Sentiance8.150 Siemens AG8.151 Sierra Wireless8.152 Sigfox8.153 Signify8.154 Soofa8.155 Spacetime Insight8.156 Spatial Labs, Inc.8.157 Spice Digital8.158 Spot Hero8.159 Stae8.160 Streetlight Data8.161 Swiftly8.162 Takadu8.163 Tantalum8.164 Telefonica8.165 Telensa8.166 Toshiba8.167 Tractebel8.168 Trafi8.169 Transit Labs8.170 Transit Screen8.171 Transloc8.172 Trilliant8.173 Understory8.174 UrbanFootprint8.175 Urbee8.176 Urbiotica (Spain)8.177 Utilidata8.178 Valor Water Analytics8.179 Varentec8.180 Veniam8.181 Veolia8.182 Verizon8.183 Videonetics Technologies8.184 Vodafone8.185 Volocopter8.186 Watersmart8.187 Where Is My Transport8.188 Wipro8.189 Worldsensing SL8.190 Zagster8.191 Zenysis8.192 Zerocycle8.193 ZiFF Technologies

9.0 Smart Cities Market Forecast 2020 - 20259.1 Global Smart Cities Market 2020 - 20259.1.1 Smart Cities Market in Aggregate9.1.2 Smart Cities Market by Technology9.1.3 Smart Cities Market by Application9.1.4 Artificial Intelligence Market in Smart Cities9.1.5 IoT Market in Smart Cities9.1.6 5G Market in Smart Cities9.1.7 Cloud Computing Market in Smart Cities9.1.8 Big Data Analytics Market in Smart Cities9.1.9 Quantum Computing Market in Smart Cities9.1.10 Edge Computing Market in Smart Cities9.1.11 High-Performance Computing Market in Smart Cities9.2 Regional Smart Cities Market Forecast 2020 - 2025

10.0 Smart City Market Summary, Conclusions, and Recommendations10.1 Advertisers and Media Companies10.2 Artificial Intelligence Providers10.3 Automotive Companies10.4 Broadband Infrastructure Providers10.5 Communication Service Providers10.6 Computing Companies10.7 Data Analytics Providers10.8 Immersive Technology (AR, VR, and MR) Providers10.9 Networking Equipment Providers10.10 Networking Security Providers10.11 Semiconductor Companies10.12 IoT Suppliers and Service Providers10.13 Software Providers10.14 Smart City System Integrators10.15 Automation System Providers10.16 Social Media Companies10.17 Workplace Solution Providers10.18 Enterprise and Government

For more information about this report visit https://www.researchandmarkets.com/r/19qwu7

Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.

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Research and Markets Laura Wood, Senior Manager [emailprotected]

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AI and machine learning: a gift, and a curse, for cybersecurity – Healthcare IT News

October 21, 2020 | Author: admin

The Universal Health Services attack this past month has brought renewed attention to the threat of ransomware faced by health systems and what hospitals can do to protect themselves against a similar incident.

Security experts say that the attack, beyond being one of the most significant ransomware incidents in healthcare history, may also be emblematic of the ways machine learning and artificial intelligence are being leveraged by bad actors.

With some kinds of "early worms," said Greg Foss, senior cybersecurity strategist at VMware Carbon Black, "we saw [cybercriminals] performing these automated actions, and taking information from their environment and using it to spread and pivot automatically; identifying information of value; and using that to exfiltrate."

The complexity of performing these actions in a new environment relies on "using AI and ML at its core," said Foss.

Once access is gained to a system, he continued, much malware doesn't require much user interference.But although AI and ML can be used to compromise systems' security, Foss said, they can also be used to defend it.

"AI and ML are something that contributes to security in multiple different ways," he said. "It's not something that's been explored, evenuntil just recently."

One effective strategy involves user and entity behavior analytics, said Foss: essentially when a system analyzes an individual's typical behavior and flags deviations from that behavior.

For example, a human resource representative abruptly running commands on their host is abnormal behavior and might indicate a breach, he said.

AI and ML can also be used to detect subtle patterns of behavior among attackers, he said. Given that phishing emails often play on a would-be victim's emotions playing up the urgency of a message to compel someone to click on a link Foss noted that automated sentiment analysis can help flag if a message seems abnormally angry.

He also noted that email structures themselves can be a so-called tell: Bad actors may rely on a go-to structure or template to try to provoke responses, even the content itself changes.

Or, if someone is trying to siphon off earnings or medication particularly relevant in a healthcare setting AI and ML can help work in conjunction with a supply chain to point out aberrations.

Of course, Foss cautioned, AI isn't a foolproof bulwark against attacks. It's subject to the same biases as its creators, and "those little subtleties of how these algorithms work allow them to be poisoned as well," he said. In other words, it, like other technology, can be a double-edged sword.

Layered security controls, robust email filtering solutions, data control and network visibility also play a vital role in keeping health systems safe.

At the end of the day, human engineering is one of the most important tools: training employees to recognize suspicious behavior and implement strong security responses.

Using AI and ML "is only starting to scratch the surface," he said.

Kat Jercich is senior editor of Healthcare IT News.Twitter: @kjercichEmail: kjercich@himss.orgHealthcare IT News is a HIMSS Media publication.

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Soleadify secures seed funding for database that uses machine learning to track 40M businesses – TechCrunch

October 21, 2020 | Author: admin

Usually, databases about companies have to be painstakingly updated by humans. Soleadify is a startup that uses machine learning to create profiles for businesses in any industry. The first of the companys products is a business search engine that keeps over 40 million business profiles updated, currently used by hundreds of companies in the USA, Europe and Asia for sales and marketing activities.

Its now secured $1.5 million in seed-round funding from European venture firms GapMinder Venture Partners and DayOne Capital, as well as several prominent business angels, through Seedblink, an equity crowdfunding platform based out of Bucharest, Romania.

The company plans to use the funds to further improve their technology, build partnerships and expand their marketing capabilities.

On top of Soleadifys data, they build solutions for prospecting, market research, customer segmentation and industry monitoring.

The way its done is by frequently scanning billions of webpages, identifying and classifying relevant data points and creating connections between them. The result is a database of business data, which is normally only available through laborious, manual research.

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Machine Learning Capabilities Come to the Majority of Open Source Databases with MindsDB AI-Tables – PR Web

October 21, 2020 | Author: admin

MindsDB

BERKELEY, Calif. (PRWEB) October 20, 2020

MindsDB, the open source AI layer for existing databases, today announced official integrations with open source relational databases PostgreSQL and MySQL. These join a growing list of integrations with community-driven databases including MariaDB and Clickhouse to bring the machine learning capabilities of MindsDB to over 55% of open source databases.

MindsDB brings machine learning to those who work with data to allow users to create and deploy ML models using standard SQL queries and increase AI projects efficiency. Through the use of AI-Tables, database users can apply machine learning models straight from their database and automatically generate predictions as simple as querying a table.

PostgreSQL is a powerful, open source object-relational database system with over 30 years of active community development. The database has a strong reputation for reliability, feature robustness, and performance. MySQL, owned by Oracle, is one of the most popular open source databases, trusted by organizations such as Facebook, Google, and Adobe. Together, the two represent 45% of the active open source database market.

The announcement was made as part of MindsDBs presentation during Percona Live Online 2020, the largest annual open source database conference.

Bringing machine learning resources to the open source database community is a huge part of our mission to democratize machine learning, said MindsDB co-founder, Adam Carrigan. Staying connected to this community has helped us identify the main challenges of users that know their data best and give them machine learning tools to help them solve those problems.

Bringing Machine Learning to the Database

I am excited to see MindsDB providing the power of machine learning, without leaving the convenience of SQL. There has been significant demand in the community for machine learning tools that work with on-premises data, can be run by the average database user, and are delivered cost-effectively, said Peter Zaitsev, CEO of Percona. As the open source database community gathers every year to share their knowledge at Percona Live, it is extremely exciting to see companies launch new solutions, like MindsDB with AI-Tables, that can expand what open source databases deliver to users.

With the newly announced MindsDB integrations, MySQL and PostgreSQL users can use AI-Tables to learn and make predictions from their data with no machine learning experiences. Users can now run a simple SQL query to deploy automated machine learning models directly inside their database.

The key to the MindsDB tool is the use of virtual AI-Tables which allow any user to easily train and test machine learning models with basic SQL as if they were standard database tables.

Community-focused Innovation

As more open source database users get hold of machine learning tools, it will be very exciting to see what the community will produce and how well benefit from AI and ML going forward, said OpenOcean Founder and General Partner Patrik Backman. Now is a good time for every database developer to get their hands dirty and try out with their own data how the MindsDB integration practically works.

While MindsDB is now available in over half of open source databases, we will continue to work towards our goal of democratizing machine learning for every database user, said Carrigan.

About MindsDB

MindsDB helps organizations to turn data into business predictions by adding machine learning capabilities to their databases. MindsDB provides an AI layer for existing databases that allows organizations to effortlessly and cost-effectively develop, train, and deploy state-of-the-art ML models using standard SQL queries to get accurate business predictions. Follow the company on LinkedIn, Twitter and Facebook and visit the blog for additional resources.

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Machine Learning Capabilities Come to the Majority of Open Source Databases with MindsDB AI-Tables - PR Web

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Teaming Up with Arm, NXP Ups Its Place in the Machine Learning Industry – News – All About Circuits

October 21, 2020 | Author: admin

One of the most popular topics in the technology industry, even for electrical engineers, is machine learning. The newest company to make headlines in the field is NXP Semiconductors withtwo big announcements today.

Looking to further establish its place in the machine learning industry, NXP has made two strategic partnerships, one with Arm and one with Canadia-based Au-Zone. All About Circuits had a sit down with executives at NXP to understand what the news really means.

On the hardware side of things, NXP announced today that it has been collaborating with Arm as the lead technology partner on thenew ArmEthos-U65 microNPU (neural processing unit). This technology partnership allows NXP to integrate the Ethos-U65 microNPU into its next generation of i.MX applications processors with the hopes of delivering energy-efficient, cost-effective ML solutions.

NXP is particularly excited about this partnership becausethis new microNPU is able to maintain the MCU-class power efficiency of the Ethos-U55, but is capable of being used in systems with higher performance Cortex-A-based SoCs.

Some standout features of the Ethos-U65 includemodel compression, on-the-fly weight decompression, and optimization strategies for DRAM and SRAM.

Whats particularly unique about this SoC is that the NPU works alongside a Cortex-M based processor. In our interview, Ben Eckermann, Senior Principal Engineer andSystems Architect at NXP Semiconductors, explained why this feature is advantageous.

Eckermann explains, What's key here is that, similar to the U-55, [the Ethos-U65]doesn't attempt to do everything as one standalone black box. It relies on the Cortex-M processor sitting beside it."

He continues, "The Cortex-M processor is able to handle any network operators that either occur so infrequently that there's no point in dedicating hardware resources in the U-65 to it or some that just don't provide you enough bang for yourbuck, where some things can be done efficiently on the CPU like the very last layers of a NN.

On the software side of things, NXP today announced that it has established an exclusive partnership with Au-Zone to expand NXPs eIQmachine learning (ML) software development environment.

What NXP was really after was Au-Zones DeepViewML Tool Suite, which is said to augment eIQ with an intuitive, graphical user interface (GUI) and workflow. The hope is that this added functionality will make the development, training, and deployment of NN models and ML workloads straightforward and easy for designers of all experience levels.

The tool includes features to prune, quantize, validate, and deploy public or proprietary NN models on NXP devices.

Together, Au-Zone and NXP look to optimize NNs for NXP-based SoCs, providing developers with run-time insights on NN model architectures, system parameters, and run-time performance.

A key feature of this run-time inference engine is that it optimizes the system memory usage and data movement uniquely for each SoC architecture.

Gowri Chindalore, head of NXP's business and technology strategy for edge processing, claims that this feature offerscustomers a double optimization," optimizing both the neural network and then further optimizing for the specific hardware.

With the introduction of the Arm Ethos U-65 microNPU, NXP will be able to provide new functionality and energy savings in future lines of i.MX application processors. This may make way for more powerful and low-energy designs for IoT and other edge applications.

Introducing Au-Zones DeepView Tool Suite will also benefit design engineers becausethe training, optimization, and deployment of NNs will not only be made more simple but will also be optimized for the specific hardware they are running on.

This too should only benefit future developments in IoT and edge applications on NXP-based SoCs.

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Teaming Up with Arm, NXP Ups Its Place in the Machine Learning Industry - News - All About Circuits

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