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GBT Technologies’ AI Engine to Improve Microchip Production and Create Expert Smart Apps

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NEW YORK, NY, Dec. 03, 2019 (GLOBE NEWSWIRE) — GBT Technologies, Inc. (OTC PINK: GTCH) (GBT) is steadily growing its footprint in the high-tech space while also expanding its already strong portfolio of technologies that continue to increase the company’s position in the industry.  GBT is segmented into 5 different areas of growth, but its work in the artificial intelligence or AI industry continues to be the company’s central focus, and its AI engine, “Avant! AI,” could prove to be an industry-leading product that changes the way we get information, while also becoming a first-in-class tool in the development of other technologies.

GBT’s portfolio of technologies includes artificial intelligence, microchip technology, internet of things (IoT)/mobile, electronic design automation (EDA), and on-going research and development (R&D), and GBT plans to employ its AI technology throughout the portfolio in the development of a host of technologies.

While GBT’s footprint is expanding in a number of high-tech spaces, the company’s Chief Operating Officer (COO), Salomon Ocon, says, “GBT has decided to invest a major part of its future business in the AI industry because the company predicts there is a great market for it well into the future and that GBT is ideally positioned to compete in the industry with its vast experience and knowledge in the AI space developing both AI-based algorithms and circuitries.”

Currently, GBT is fully engaged in two areas that are in high demand and both are using the company’s AI engine in their development.  The first is the development of advanced-AI applications or “smart apps” that could change the way we get vital information on just about any topic, and the second is to assist in the production of microchips, and by doing so, achieving increased reliability in their production. 

Avant! AI is able to be “trained,” which makes the technology ideal for developing applications that require learning volumes of information and for developing platforms that can assist in increasing reliability based on physics-of-failure mechanisms.  The company’s AI engine, which is an “expert agent” or “knowledge advisor” that can act as a knowledge center for any given database, is “achieving human objectives” with its actions according to the company.  The company touts that the technology will be capable of retrieving specific data from just about any field, including medicine, law, engineering, IoT, and customer support for starters.

The first advanced-AI “smart” application that GBT is developing is for the medical field.  GBT’s COO said of Avant! AI’s immediate future, “One possibility for this artificial intelligence is to offer Avant! AI as a ‘medical expert agent’ for medical web sites or other similar sites in the field, as well as offering what could function as a personal medical assistant for everyone.

“Imagine an intelligent medical advisor at your fingertips and available to you around the clock that provides you with accurate medical advice. This type of ‘super-intelligent agent’ would be invaluable in any household worldwide.”

Meanwhile, GBT is implementing its Avant! AI technology within its Epsilon EDA (Electronic Design Automation) program with the goal of achieving increased reliability for microchips.  GBT has developed design and analysis software for integrated circuits (IC).  The EDA field targets integrated circuits design and analysis software, and GBT is implementing its AI engine with its work on EDA technology to create IC analysis software.  GBT says this software will analyze microchips during their design process to ensure the ultimate reliability, optimal power consumption and fast performance, creating clean-by-construction chips.  

Salomon Ocon says, “When it comes to microchips that are used in aviation, space exploration, medical equipment, military and in many other important fields, high reliability is necessary in order to prevent failures.  GBT’s Epsilon computer program analyzed each microchip during its design phase, ensuring the prevention of overheating, optimal power consumption and the highest reliability even in the toughest weather conditions.  Epsilon is a reliability-aware IC design environment.  Using GBT’s EDA technology, IC design houses will be able to create efficient microchips, with the highest reliability, optimal power consumption and fastest performance.”

According to the company, Avant! AI’s ability to achieve “human objectives” is what will make it superior to anything that any other competitor can offer today.  GBT executives feel that its AI engine is “a superior technology that will slowly penetrate many aspects of our lives.”

GBT is targeting its AI technology to become the pioneer in crucial areas of our lives and plans to explore licensing opportunities for the technology next year.  The COO said that GBT does plan to look for a partnership(s)/collaboration(s) in the communication field with one of the market’s major companies, and that GBT is currently exploring the licensing of its EDA technology to major IC design corporations.

To learn more about GBT Technologies, Inc. visit: https://www.goph.io

About GBT Technologies, Inc.

GBT Technologies, Inc. is a development-stage company that considers itself a native IoT creator, developing Internet of Things (IoT) and Artificial Intelligence (AI)-enabled mobile technology platforms.  GBT has a portfolio of Intellectual Property that when commercialized, will include smart microchips, mobile and security applications and protocols, and supporting cloud software.  GBT’s system envisions the creation of a global mesh network.  The core of the system will be its advanced microchip technology that can be installed in any mobile or fixed device worldwide. GBT envisions this system as a low-cost, secure, private mesh network between any enabled devices, providing shared processing, advanced mobile database management/sharing and enhanced mobile features as an alternative to traditional carrier services.

About Stock Market Media Group

Stock Market Media Group is a Content Development IR firm offering a platform for corporate stories to unfold in the media with press releases, research reports, corporate videos, radio-style CEO interviews and feature news articles.

This article was written based upon publicly available information. Stock Market Media Group may, from time to time, include our own opinions about the companies, their business, markets and opportunities in our articles. Any opinions we may offer about any of the companies we write about are solely our own and are made in reliance upon our rights under the First Amendment to the U.S. Constitution, and are provided solely for the general opinionated discussion of our readers. Our opinions should not be considered to be complete, precise, accurate, or current investment advice, or construed or interpreted as research. Any investment decisions you may make concerning any of the securities we write about are solely your responsibility based on your own due diligence. Our publications are provided only as an informational aid, and as a starting point for doing additional independent research. We encourage you to invest carefully and read the investor information available at the web site of the U.S. Securities and Exchange Commission at: www.sec.gov, where you can also find all of GTCH’s filings and disclosures. We also recommend, as a general rule, that before investing in any securities, you consult with a professional financial planner or advisor, and you should conduct a complete and independent investigation before investing in any security after prudent consideration of all pertinent risks.  We are not a registered broker, dealer, analyst, or advisor. We hold no investment licenses and may not sell, offer to sell or offer to buy any security. Our publications about GTCH are not a recommendation to buy or sell a security.

Stock Market Media Group and its management may benefit from any increase in the share price of the profiled companies and hold the right to sell the shares bought at any given time including shortly after the release of the company’s profile. Section 17(b) of the 1933 Securities and Exchange Act requires publishers who distribute information about publicly traded securities for compensation, to disclose who paid them, the amount, and the type of payment.  Under the Securities Act of 1933, Section 17(b), Stock Market Media Group discloses that it was remunerated six thousand dollars paid for by a third party via bank wire, to produce content related to GBT Technologies. Our articles are the opinion of Stock Market Media Group and written based upon publicly available information.

Stock Market Media Group does not own any shares in GBT Technologies and never accepts compensation in free-trading shares for its marketing services of the company being profiled, however third parties that might have compensated Stock Market Media Group may hold free-trading shares of the company being profiled and could very well be selling, holding or buying shares of the company’s stock at the same time the content is being disseminated to potential investors; this should be viewed as a definite conflict of interest and as such, the reader should take this into consideration.

If Stock Market Media Group ever accepts compensation in the form of free trading shares of the company being profiled and decides to sell these shares into the public market at any time before, during, or after the release of the company’s profile, our disclaimer will be updated accordingly reflecting the current position of those free trading shares received as compensation for our services.

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Contact:

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GlobeNewswire is one of the world's largest newswire distribution networks, specializing in the delivery of corporate press releases financial disclosures and multimedia content to the media, investment community, individual investors and the general public.

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Networld to Distribute Cloudian Object Storage Solutions in Japan

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TOKYO, Dec. 15, 2019 (GLOBE NEWSWIRE) — Networld Corp. and Cloudian® today announced that Networld will begin selling Cloudian’s HyperStore® object storage solution in Japan this month under a recently completed distribution agreement. The new partnership will provide customers with a limitlessly scalable, fully S3-compatible and highly cost-effective platform for managing, protecting and maximizing the value of growing datasets in hybrid cloud and on-premises environments. It builds on Cloudian’s position as the most widely deployed independent provider of object storage systems and its expanding presence in the Asia Pacific region over the last year. As the largest VMware distributor in Japan, Networld will also be able to capitalize on a solution Cloudian recently introduced specifically for VMware Cloud Providers.

Cloudian serves the needs of data-intensive industries such as scientific research, financial services, telecommunications, healthcare, government, and media and entertainment in a broad range of use cases, including:

  • Data protection
  • Active archive
  • Storage services
  • NAS offload
  • Big data
  • Artificial intelligence/machine learning

HyperStore offers the industry’s most advanced S3 compatibility, enabling seamless data management across public cloud and on-premises private cloud environments. In addition to hybrid and multi-cloud data management, other HyperStore benefits include:

  • Modular and limitless scalability: Unlike many other object storage providers that require users to over-provision, Cloudian enables customers to start small and then grow without limit. As more capacity is needed, they can non-disruptively add an additional node or even new locations to the cluster and that capacity becomes part of the available storage pool.
  • Geo-distribution: HyperStore’s global data fabric means storage can be deployed anywhere but still be managed centrally from a single pane of glass.
  • Multi-tenancy: HyperStore provides isolated storage environments within a shared system to ensure data privacy. In addition, it incorporates billing and quality-of-service (QoS) features to help meet performance SLAs.
  • Up to 70 percent cost savings: By reducing CAPEX and eliminating expensive and time-consuming data migrations, Cloudian can cut data protection costs by up to 70 percent compared to purpose-built disk-based offerings and tape-based systems.
  • Choice of configurations: HyperStore is available as software-defined storage or pre-configured appliances.

“We’re seeing increasing adoption of object storage and expect this trend to accelerate moving forward,” said Shoichi Morita, president, at Networld. “The partnership with Cloudian reflects our continued commitment to providing customers with best-of-breed solutions that enable them to drive greater business or organizational success.”

“Over the past year, Cloudian has solidified its position as the leading object storage specialist, enabling customers to overcome the inability of traditional file and block storage systems to meet their evolving data management and protection needs,” said Brian Burns, vice president, Asia Pacific, at Cloudian. “Our sales partners play a vital role in helping us bring the benefits of our solutions to users, so we’re thrilled to be working with Networld, an undisputed leader in the Japanese market.”

For more information about Cloudian and the HyperStore solution, visit cloudian.com.

About Networld
As a solution distributor for IT infrastructure, Networld Inc. provides technology products and related services that transform the IT infrastructure of enterprises in the age of cloud computing. The company has been working since its early days on servers, storage and networking, and application and desktop virtualization, to lead the way to what the next generation IT infrastructure should be. https://www.networld.co.jp/

About Cloudian
Cloudian is the most widely deployed independent provider of object storage systems, with the industry’s most advanced S3 compatibility and an extensive partnership ecosystem. Its award-winning flagship solution, HyperStore, provides limitless scalability and cloud-like technology, flexibility and economics in the data center. Cloudian’s global data fabric architecture enables enterprises to store, find and protect object and file data seamlessly across sites, both on-premises and in public clouds, within a single, unified platform. Learn more at cloudian.com.

Networld Media Contact
Tsutaya
pr@networld.co.jp
+ 81-5210-3911

Cloudian Media Contact
Jordan Tewell
10Fold Communications
cloudian@10fold.com
+1 415-666-6066

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Traffic4cast competition reveals novel way to predict traffic flow using AI

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NeurIPS, Vancouver – The Institute for Advanced Research in Artificial Intelligence (IARAI), an independent global machine-learning research institute established by HERE Technologies, today announced the results and winners of its traffic prediction competition, which aimed to solve mobility challenges using artificial intelligence (AI). Traffic4cast, a unique competition merging movie-prediction machine learning with traffic research, challenged competitors to understand complex traffic systems and make predictions about how they would flow in the future.

The results show how AI can effectively uncover insights to solve traffic gridlock through trial and error of industrial geospatial data from HERE, a leader in mapping and location-based services. Traffic comes about when drivers make simple decisions that lead to complex behavior patterns. These patterns depend on various factors, such as time of day, the road network, congestion situations, holidays, weather conditions and day of the week. Effectively identifying and analyzing traffic patterns lead to more accurate predictions of how traffic would move on given roads at given times of day.

AI, and more specifically neural networks—computer systems modeled on the human brain and nervous system—can help to solve this problem because they are very good at spotting patterns. Neural networks “learn” to do tasks by considering examples, such as datasets, usually without being programmed with task-specific rules. This ability to learn without being programmed means that although neural networks are good at identifying patterns, why they are good at it is unclear. Their inner workings are one of the mysteries of machine learning, the so-called “black box” AI, meaning that the processes cannot be easily understood or tested by programmers.

The Traffic4cast results show that neural networks were the most effective method used at predicting traffic and came closest to simulating the exact traffic flow. All the top entrants used neural networks instead of “non-black box” solutions, such as support vector machines, Bayesian networks and other fixed algorithms. Winners from South Korea, Oxford/Zurich and Toronto were among more than 40 teams from around the world who submitted over 4,000 entries. 

Working with HERE, IARAI provided participants with traffic movie clips based on a year’s worth of industrial-scale, real-world data for three diverse cities: Berlin, Istanbul and Moscow. The clips were created using data based on an unprecedented number of over 100 billion probe points from positions reported by a large fleet of probe vehicles. They captured morning, evening and rush-hour traffic. Each movie frame summarized GPS trajectories mapped to spatio-temporal cells. The movies showed multiple color channels characterizing traffic volume, speed and direction.

“This competition is special alone because of the sheer scope and size of the data,” said Sepp Hochreiter, a founding co-director of IARAI and an artificial intelligence pioneer (he invented the long short-term memory (LSTM) neural network framework).

Entrants had to forecast the traffic by completing the next part of each movie clip for all three cities. Contestants were given 285 full training days (full movie for the entire day) and 72 testing days (containing five blocks of 12 consecutive images with at least 30 frames between each such block); the rest were marked out validation sets. Each contestant then had to produce the three consecutive images following each given block of 12 images in each movie file for each day in the test set for each city.

“This competition brought together diverse groups to tackle a fundamental problem—predicting geospatial processes—that lies at the heart of sustainable mass mobility,” said Michael Kopp, head of research at HERE and founding co-director of IARAI. “Guiding the AI revolution to this problem using an interdisciplinary approach via billions of real-life data points is both novel and a paradigm shift that will be reflected in many applied scientific disciplines. The results seem to prove that ‘black box’ machine learning is most effective at solving predictive problems. This gives us a jumping-off point for further research into how AI learns.”

Media Contacts  
Jordan Stark
+1 312 316 4537
jordan.stark@here.com

Amy Stupavsky
+49 175 419 1678
amy.stupavsky@here.com


About HERE Technologies

HERE, a location data and technology platform, moves people, businesses and cities forward by harnessing the power of location. By leveraging our open platform, we empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. To learn more about HERE, please visit www.here.com and http://360.here.com.

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ShiftPixy, Inc. Reports Fiscal 2019 Results

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IRVINE, Calif., Dec. 13, 2019 (GLOBE NEWSWIRE) — ShiftPixy, Inc. (NASDAQ: PIXY), a California-based staffing enterprise that designs, manages, and sells access to a disruptive, revolutionary platform that facilitates employment in the rapidly growing Gig Economy, today announced operating results for the year ended August 31, 2019 (“2019”).

2019 Financial Highlights

  • Earnings per share improved to $0.57 in 2019 compared to $0.58 for 2018.
  • Gross billings grew 59% to $353 million, compared to $222 million for 2018.  Q4 billings exceeded $100 million for the first quarter in our history at $105 million for an exit annualized billings rate of over $420 million.  
  • Revenues increased 53% to $53 million, compared to $35 million for 2018.
  • Gross profit was $12.4 million, increasing 125% over 2018 gross profit of $5.5 million due to improving margins and workers compensation cost savings.  Gross profit per worksite employee improved to $1,200 for 2019 from $800 for 2018.
  • Loss from Operations improved to $9.7 million from $11.6 million in 2018. 
  • EBITDAS Loss (Operating Loss excluding depreciation and share-based compensation) improved to $8.3 million for 2019 from $11.0 million for 2018 due to improved margins and reduced spending on our mobile application, offset by increased operations costs.
  • Investment in our mobile application and technology solution deployment decreased to $4.9 million in 2019 from $7.5 million in 2018 due to reduced costs relating to movement to our new in-sourced development team.  Total Human Resource Information System (HRIS) and mobile application investment is $15.5 million to date.

2019 Operational highlights

  • The number of employees billed during the year and retained in our employee HRIS exceeded 25,000.
  • The active number of worksite employees billed increased to 13,100 at August 31, 2019, a 54% increase, from 8,500 at August 31, 2018.
  • Average gross billings per worksite employee increased by 4.3% to $33,600 in 2019 from $32,200 in 2018
  • Average operating support costs per billed worksite employee improved in 2019.  We have staffed to manage up to 50,000 active worksite employees with our current corporate overhead.
  • Our dispute with our outsourced software development partner delayed our HRIS and mobile application launch in 2019 and necessitated our move towards in-house development. 

“We continue to see strong growth in our legacy business which has driven top line expansion and improvement in our operating metrics, including gross billings and gross profits for 2019,” stated Chief Executive Officer, Scott Absher.  ”Delays in the launch of our mobile application solution are now behind us and the project is now back on track and well received by our initial launch customers.  We believe it will support revenue growth in 2020 from both significantly higher worksite employee counts and added technology features.  The reception from our target customers has been phenomenal and we expect to see a significant increase in our business activity levels as we move into calendar 2020 and continue our focus on creating long-term shareholder value.”

About ShiftPixy
ShiftPixy is a disruptive human capital services enterprise, revolutionizing employment in the Gig Economy by delivering a next-gen platform for workforce management that helps businesses with shift-based employees navigate regulatory mandates, minimize administrative burdens and better connect with a ready-for-hire workforce.  With expertise rooted in management’s nearly 25 years of workers’ compensation and compliance programs experience, ShiftPixy adds a needed layer for addressing compliance and continued demands for equitable employment practices in the growing Gig Economy. ShiftPixy’s complete HCM ecosystem is designed to manage regulatory requirements and compliance in such required areas as paid time off (PTO) laws, insurance and workers’ compensation, minimum wage increases, and the Affordable Care Act (ACA) compliance.

ShiftPixy Cautionary Statement
The information provided in this release includes forward-looking statements, the achievement or success of which involves risks, uncertainties, and assumptions. Although such forward-looking statements are based upon what management of the Company believes are reasonable assumptions, there can be no assurance that forward-looking statements will prove to be accurate. If any of the risks or uncertainties, including those set forth below, materialize or if any of the assumptions proves incorrect, the results of ShiftPixy, Inc., could differ materially from the results expressed or implied by the forward-looking statements we make.  The risks and uncertainties include, but are not limited to, risks associated with the nature of our business model; our ability to execute the Company’s vision and growth strategy; our ability to attract and retain clients; our ability to assess and manage risks; changes in the law that affect our business and our ability to respond to such changes and incorporate them into our business model, as necessary; our ability to insure against and otherwise effectively manage risks that affect our business; competition; reliance on third-party systems and software; our ability to protect and maintain our intellectual property; and general developments in the economy and financial markets.  Statements made in connection with any guidance may refer to financial statements that have not been reviewed or audited.  The Company undertakes no obligation to update forward-looking statements if circumstances or management’s estimates or opinions should change, except as required by applicable securities laws.  The information in this press release shall not be deemed to be “filed” for the purpose of Section 18 of the Securities Exchange Act of 1934, as amended, or otherwise subject to the liabilities of that section, and will not be deemed an admission as to the materiality of any information that is required to be disclosed solely by Regulation FD.  Further information on these and other factors that could affect the financial results of ShiftPixy, Inc., is included in the filings on Forms 1-A and 10-Q and in other filings we make with the Securities and Exchange Commission from time to time. These documents are available on the “SEC Filings” subsection of the “Investor Information” section of our website at https://ir.shiftpixy.com/financial-information/sec-filings.

Consistent with the SEC’s April 2013 guidance on using social media outlets like Facebook and Twitter to make corporate disclosures and announce key information in compliance with Regulation FD, ShiftPixy is alerting investors and other members of the general public that ShiftPixy will provide updates on operations and progress required to be disclosed under Regulation FD through its social media on Facebook, Twitter, LinkedIn and YouTube. Investors, potential investors, shareholders and individuals interested in our Company are encouraged to keep informed by following us on Facebook, Twitter, LinkedIn and YouTube.

INVESTOR CONTACT:

InvestorRelations@shiftpixy.com
800.475.3655

ShiftPixy Inc.
Consolidated Balance Sheets

    August 31,
2019
    August 31,
2018
 
ASSETS  
Current assets            
Cash   $ 1,561,000     $ 1,650,000  
Accounts receivable     272,000       111,000  
Unbilled accounts receivable     9,478,000       6,193,000  
Deposits-workers’ compensation     1,957,000       1,672,000  
Prepaid expenses     519,000       563,000  
Other current assets     244,000       259,000  
Total current assets     14,031,000       10,447,000  
                 
Fixed assets, net     3,360,000       3,032,000  
Deposits- workers’ compensation     6,281,000       2,202,000  
Deposits and other assets     124,000       121,000  
Total assets   $ 23,796,000     $ 15,802,000  
                 
LIABILITIES AND STOCKHOLDERS’ DEFICIT
Current liabilities                
Accounts payable   $ 3,061,000     $ 1,246,000  
Accrued payroll and related liabilities     16,412,000       9,477,000  
Convertible Notes, Net     3,351,000       6,171,000  
Derivative liability     3,756,000        
Accrued workers’ compensation costs     1,957,000       305,000  
Default penalties accrual     1,800,000       3,500,000  
Other current liabilities     1,850,000       1,956,000  
Total current liabilities     32,187,000       22,656,000  
Noncurrent liabilities                
Accrued workers’ compensation costs     4,379,000       901,000  
Total liabilities     36,566,000       23,557,000  
Commitments and contingencies                
Stockholders’ deficit                
Preferred stock, 50,000,000 authorized shares; $0.0001 par value; no shares issued and outstanding            
Common stock, 750,000,000 authorized shares; $0.0001 par value; 36,281,894 and 28,851,787 shares issued as of August 31, 2019 and 2018, respectively     4,000       3,000  
Additional paid-in capital     32,501,000       18,465,000  
Treasury stock, at cost – 558,132 shares and no shares as of August 31, 2019 and 2018, respectively     (325,000 )      
Accumulated deficit     (44,950,000 )     (26,223,000 )
Total stockholders’ deficit     (12,770,000 )     (7,755,000 )
Total liabilities and stockholders’ deficit   $ 23,796,000     $ 15,802,000  

ShiftPixy Inc.
Consolidated Statements of Operations

    For the Years Ended  
    August 31,
2019
    August 31,
2018
 
             
Revenues (gross billings of $352.6 million and $222.4 million (unaudited)  less worksite employee payroll cost of $299.2 million and $187.5 million, (unaudited) respectively)   $ 53,436,000     $ 34,959,000  
                 
Cost of revenue     41,046,000       29,458,000  
Gross profit     12,390,000       5,500,000  
Operating expenses:                
Salaries, wages and payroll taxes     7,702,000       5,383,000  
Share-based compensation – general and administrative     632,000       363,000  
Commissions     2,732,000       1,594,000  
Professional fees     3,918,000       2,078,000  
Software development     1,209,000       3,828,000  
Marketing and advertising     1,208,000       547,000  
General and administrative     3,823,000       3,005,000  
Depreciation and amortization     839,000       274,000  
Total operating expenses     22,063,000       17,072,000  
Operating Loss     (9,673,000 )     (11,572,000 )
Other income (expense)                
Interest expense     (8,507,000 )     (1,751,000 )
Loss on debt extinguishment     (3,927,000 )      
Change in fair value of derivative     2,569,000        
Gain (Loss) associated with note defaults, net     811,000       (3,500,000 )
Total Other income (expense)     (9,054,000 )     (5,251,000 )
                 
Net Loss   $ (18,727,000 )   $ (16,823,000 )
                 
Net loss per common share                
Basic and diluted   $ (0.57 )   $ (0.58 )
                 
Weighted average number of common shares                
Basic and diluted     32,708,800       28,810,103  

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