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Green Growth Brands Partners with Simon Property Group to Launch America’s First Chain of CBD Shops

Betty Tűndik

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LEARN ABOUT CBD - Photo Source: shopseventhsense.com
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Green Growth Brands gains access to 108 prime retail locations owned by the largest shopping mall operator in the U.S.

Green Growth Brands Inc. (CSE: GGB) (OTCQB: GGBXF) (“GGB” or “the Company”) announced that it has entered into an agreement through which the Company will gain access to 108 prime shop locations in U.S. malls owned and operated by the Simon Property Group, Inc. (NYSE: SPG) (“Simon”). Pursuant to the arrangement, GGB will further expand its chain of CBD-infused personal care product shops under the Seventh Sense Botanical Therapy (“Seventh Sense”) brand and other GGB brands. The Seventh Sense brand offers high quality CBD-infused products at affordable prices.

“Our partnership with Simon allows GGB to launch our brands and CBD products in premier shopping destinations across the U.S.,” said Peter Horvath, CEO of GGB. “Our management team has had decades of experience working closely with developers and operating premium retail stores in their properties. We know this arrangement gives us access to the best locations, foot traffic, and consumers. We look forward to introducing our remarkable retail experience and line of CBD products to Simon shoppers in the near future.”

Simon is the largest shopping mall operator in the United States1, and its high-profile properties include Roosevelt Field in metro New York; The Galleria in Houston, TX; and Woodbury Common Premium Outlets in Central Valley, NY. The expansive nature of the relationship with Simon makes it the first of its kind in the CBD industry and will give GGB access to entire markets of new customers at many of the nation’s most productive retail locations.

“We are constantly on the lookout for cutting-edge new concepts, like the GGB shops,” said John Rulli, President of Simon Malls. “We are committed to adding new and dynamic retailers and uses to our shopping destinations, and the GGB shopping experience is exactly the type of innovation our customers want and expect from us. We’re excited to work on the GGB launch, and look forward to a long and deepening relationship as we build this network together.”

The first shop is expected to open in March, 2019 at Castleton Square Mall in Indianapolis, Indiana. The remaining shops will be opened over the course of 2019.

In conjunction with the Simon transaction, the Company, through its wholly owned subsidiary GGB Kiosks LLC, has entered into a consulting agreement (the “Consulting Agreement”) for services rendered with Simon Canada Management Ltd. (“Simon Canada”). In exchange for the services rendered under the Consulting Agreement, which relate to GGB’s shop expansion strategy, the Company has issued to Simon Canada USD$2,232,824.42 (CAN$2,925,000) in GGB common shares and 1,000,000 common share purchase warrants of GGB with an exercise price of USD$4.47(CAN$5.85), with both the common shares and the common share purchase warrants reflecting the GGB share price as of close of trading on February 7, 2019. The common shares are subject to a lock up agreement for a period of 12 months from the effective date.

GGB also announces that it has entered into an Advisory Services Agreement (the “Advisory Agreement”) with J. Salter Ltd., d.b.a. Authentic Retail Concepts, Ltd. (“ARC”), for a variety of consulting services that leverage a network of strategic relationships, including Simon Property Group. As compensation for the services under the Advisory Agreement, GGB has issued to ARC USD$2,232,824.42 (CAN$2,925,000) in GGB common shares reflecting the GGB share price of USD$4.47 (CAN$5.85) as of the close of trading on February 7, 2019. The shares are subject to a lock up agreement for a period of 12 months from the effective date.

Cautionary Statements:

Certain information in this news release constitutes forward-looking statements under applicable securities law. Any statements that are contained in this news release that are not statements of historical fact may be deemed to be forward-looking statements. Forward-looking statements are often identified by terms such as “may”, “should”, “anticipate”, “expect”, “intend”, “forecast” and similar expressions. Forward-looking statements necessarily involve known and unknown risks, including, without limitation, risks associated with general economic conditions; adverse industry events; marketing costs; loss of markets; future legislative and regulatory developments involving medical and recreational marijuana; inability to access sufficient capital from internal and external sources, and/or inability to access sufficient capital on favorable terms; the marijuana industry in the United States, income tax and regulatory matters; the ability of the Company to implement its business strategies, including with respect to its retail shop strategy; competition; currency and interest rate fluctuations and other risks, including those factors described under the heading “Risks Factors” in the Company’s Annual Information Form dated November 26, 2018 which is available on the Company’s issuer profile on SEDAR.

Readers are cautioned that the foregoing list is not exhaustive. Readers are further cautioned not to place undue reliance on forward-looking statements as there can be no assurance that the plans, intentions or expectations upon which they are placed will occur. Such information, although considered reasonable by management at the time of preparation, may prove to be incorrect and actual results may differ materially from those anticipated. The forward-looking statements contained in this release, including without limitation, the expansion of GGB’s Seventh Sense brand, the expected access to new customers in premier retail locations and the expected opening date of the first GGB shop, is made as of the date hereof and the Company is not obligated to update or revise any forward-looking information, whether as a result of new information, future events or otherwise, except as required by applicable securities laws. Forward-looking statements contained in this news release are expressly qualified by this cautionary statement.

This announcement does not constitute an offer, invitation or recommendation to subscribe for or purchase any securities and neither this announcement nor anything contained in it shall form the basis of any contract or commitment. In particular, this announcement does not constitute an offer to sell, or a solicitation of an offer to buy, securities in the United States, or in any other jurisdiction in which such an offer would be illegal.

The securities referred to herein have not been and will not be registered under the Securities Act of 1933, as amended (the “Securities Act”), or under the securities laws of any state or other jurisdiction of the United States and may not be offered or sold, directly or indirectly, within the United States, unless the securities have been registered under the Securities Act or an exemption from the registration requirements of the Securities Act is available.

*1 National Real Estate Investor 2018 Top Retail Owners

SOURCE: Green Growth Brands

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Cannabis

Strainprint™ Technologies Welcomes Organic Medical Cannabis Producer to Growing List of Subscribers

Vlad Poptamas

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Strainprint™ Technologies Ltd, the leader in cannabis data and analytics is pleased to expand their nation-wide coverage with the addition of Stewart Farms.

Stewart Farms is a late-stage applicant headquartered in Alberta that is building a 100,000 sq. ft. vertical aquaponics farm in Saint StephensNew Brunswick. They will be utilizing automation, vertical farming, and land-based aquaculture to produce medical grade organic cannabis for both recreational and medical markets in Canada. All of their products will be free of herbicides, pesticides and synthetic nutrients. At full capacity, they will reach more than 10,000 kgs per year of organically farmed cannabis and more than 200,000 kgs of organic tilapia.

Stewart Farms’ long term vision is to deliver tools and products to support  future customers and patients during their health and wellness journeys. “Through our partnership with Strainprint we gain direct access to their incomparable data and analytics tools. This will aid us in educating a wider audience on the medical benefits and best practices of cannabis-based medicine,” said Tanner Stewart, Co-founder & CEO of Stewart Farms. “We know our customers are looking to consume more than dried cannabis. We know Canadians of all legal ages are trying to sort through their personal engagement with cannabis as a medicine. What we want to know, on an ongoing basis, is what is and is not working for people. Strainprint’s patient-led data services will give us the insight needed to create custom products and further understand the benefits of our existing products. Finally, our goal is to partner with companies and teams that truly have people’s best interest at heart. Caring about a patient’s success is what makes up the core of the Strainprint team. We couldn’t be happier to move forward with them at our side.”

Stewart Farms will access the Strainprint Analytics web platform, the most sophisticated cannabis analytics platform available to improve product development. Strainprint Analytics is built on top of the largest and most granular scientific data set of its kind in the world, with more than 1.3 million anonymized, patient reported medical cannabis outcomes and more than 65 million data points on strain efficacy.

“We’re thrilled to provide our real-time, crowd sourced data to an environmentally conscious company that uses innovative, cutting edge farming technology to produce top-tier medical cannabis,” said Strainprint CEO, Andrew Muroff. “Our organizations are equally committed to improving lives using cannabis therapy, and our shared core motivation is to provide guidance and support to help cannabis patients achieve their health goals.”

 

SOURCE Strainprint Technologies Ltd.

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Cannabis

Field Trip Ventures Inc. Retains KCSA Strategic Communications as Public Relations Counsel

Vlad Poptamas

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Greenery Map, the world’s first and only cannabis search engine to allow users to search for cannabis products based on their desired mood, medicinal use, and method of consumption, is now offering users – both businesses and consumers – the opportunity to register and connect to the app in an entirely mobile way. Previously, businesses were required to access GreeneryMap.com from a desktop in order to manage accounts and connect to the inventory API system, but that road block has been removed, allowing for an entirely mobile experience through the Greenery Map app.

App users turn to Greenery Map to help them decide on the strain of Cannabis and product that is right for them depending on their desired mood or medicinal effect. Following the matching, consumers are given a detailed history and description of the strain so that they can make educated purchases, cutting down on time that budtenders need to spend with patrons and speeding up the purchase process. Consumers can then see all of the ways to purchase said product, including the nearby dispensaries that have it in stock, online options, and even delivery options through the app. Greenery Map fully integrates with a dispensary’s inventory API system to update in real-time and give consumers real-time information on dispensary stock for the item they are looking for. The Greenery Map system also provides cannabis businesses in both the B2B and B2C sectors a private database to share and sell information and products. For Cannabis businesses, Greenery Map also offers the opportunity to open bank and merchant accounts through their partnership with PayHouse Consulting Group.

 

SOURCE Greenery Map

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Artificial Intelligence

WeBank, IBM and Other Organizations Jointly Held the 1st International Workshop on Federated Machine Learning in conjunction with IJCAI 2019

Vlad Poptamas

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Photo source: chinadaily.com.cn
Reading Time: 4 minutes

 

Once a concept, AI is now ushering in a key stage of application. What’s the solution to the data silos among businesses? Given the enhanced regulation on data at home and abroad, what’s the solution to data privacy and security concerns? What’s the status quo of Federated Machine Learning and how to establish an ecosystem for FML in the future?

WeBank, IBM and other organizations jointly held the 1st International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FML’19) in conjunction with the 28th International Joint Conference on Artificial Intelligence (IJCAI-19) on Aug. 12, 2019, to further discussion on these issues.

President of IJCAI, Chair of FML Steering Committee, Chief AI Officer of WeBank Professor Qiang Yang delivered opening remarks at the workshop. Dr. Shahrokh Daijavad from IBM and Dr. Jakub Konečný from Google presented keynote addresses. In the panel discussion, top scholars from WeBank, Bar-Ilan University, IBM, Squirrel AI, Google, Huawei, Clustar, Sinovation Ventures and many other renowned enterprises and universities shared and discussed their findings and experience in FML as an emerging AI technology.

This workshop received 40 papers, of which 12 were presented during the workshop, 19 presented via poster. Awards include Best Theory Paper Award, Best Application Paper Award, Best Student Paper Award, Best Presentation Award. Selected high quality papers will be invited for publication in a special issue in the IEEE Intelligent Systems journal. All these attracted numerous scholars to engage in discussions and join efforts for building the FML ecosystem.

Experts from IBM and Google Share Groundbreaking Findings with a Focus on the Theory and Application of FML

Privacy and security are becoming a key concern in our digital age. On 25th May last year, the implementation of General Data Protection Regulation (GDPR) by the EU, the toughest Act on data privacy protection, stressed that user data collection must be open and transparent. A series of laws and regulations from China and overseas also pose new challenges to the traditional way of handling data and model for cooperation. Seeking ways for AI to adapt to this new reality became top priority, a demand that led to this workshop on FML.

A wealth of solutions and breakthroughs were shared by Dr. Shahrokh Daijavad from IBM and Dr. Jakub Konečný from Google in their speech on FML.

Besides how FML can help tackle challenges in the business world, Dr. Shahrokh Daijavad also shared the concept of Fusion AI, which means to train models on widely distributed data sets, but fuse them to produce one equivalent to what centralized training would yield. “Unlike traditional machine learning, in Fusion AI, model parameters are shared and data is not transferred, which makes Fusion AI model better than models that moving data centrally.” Given the widely distributed data, the development of Fusion AI and FML became ever important and imminent.

“FML enables machine learning engineers and data scientists to work productively with decentralized data with privacy by default,” said Dr. Jakub Konečný from Google. He also shared with us how FML works and its use cases at Google. In the case of Gboard, as on-device data is privacy sensitive or large or is more relevant than server-side proxy data, and labels can be inferred naturally via user interaction, the application of Federated RNN compared to prior n-gram model can increase the accuracy of next-word prediction by 24%, and the click rate of prediction strip by 10%.

Major Figure Panelists Discuss the Way Ahead for FML

The moderator of the panel discussion, AI Principal Scientist of WeBank Dr. Lixin Fan joined panelists including Professor Benny Pinkas from Bar-Ilan University, Dr. Shahrokh Daijavad of IBM Academy of Technology, Chief Architect of Squirrel AI Dr. Richard Tong, Research Scientist of Google Dr. Jakub Konečný, Dr. Baofeng Zhang from CTO Office of CBG Software in Huawei, Executive VP of Clustar Dr. Junxue Zhang, VP of AI Institute in Sinovation Ventures Dr. Ji Feng and other experts in a host of in-depth exchanges with attendees, to shed light on the way ahead for FML.

Experts shared thoughts in the panel discussion on questions including but not limited to: How to meet the security and compliance requirements? Is there a way to extend the value of data while observing user privacy and data security? Given the classic trade-off between data regulation and development of AI, how to achieve the long-term goal of establishing a stable and win-win business ecosystem?

List of Award-Winners

Best Theory Paper Award, Best Application Paper Award, Best Student Paper Award and Best Presentation Award selected by all attendees were announced at the closing of the workshop.

Best Theory Paper Award: 
Preserving User Privacy for Machine Learning: Local Differential Privacy or Federated Machine Learning? By Huadi Zheng, Haibo Hu & Ziyang Han;

Best Application Paper Award: 
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare. By Yiqiang ChenJindong WangChaohui YuWen Gao & Xin Qin;

Best Student Paper Award: 
Quantifying the Performance of Federated Transfer Learning. By Qinghe JingWeiyan Wang, Junxue Zhang, Han Tian & Kai Chen;

Best Presentation Award: 
Federated Generative Privacy. By Aleksei Triastcyn and Boi Faltings.

President of IJCAI, Chief AI Officer of WeBank Professor Qiang Yang, Chief Architect of Squirrel AI Dr. Richard TongandVP of AI Institute in Sinovation Ventures Dr. Ji Feng presented the awards.

“The mission of this International Federated Machine Learning Workshop is to facilitate further understanding in the academia, business community as well as legal and regulatory institutions by promoting the establishment of FML ecosystem in the hope that more businesses will join and build a platform for students aspired to work in FML to find research teams that suit them,” said Professor Qiang Yang.

Held Aug. 10-16, 2019 in Macao, China, IJCAI-19 is one of the leading International Academic Conference on AI, attracting over 3000 AI research personnel and experts. The 1st International Workshop on Federated Machine Learning (FML’19) was a highlight for experts joining this event. Visionaries in the academia and industrial sector expressed the willingness to be part of the effort for academic research, application of FML in the future, and the development and boom of AI ecosystem.

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