Thursday, October 13, 2022

#REE #Stock News- Defense Metals (TSX-V: $DEFN.V) (OTCQB: $DFMTF) Continues to Drill High-Grades at Wicheeda with 106 metres of 2.53% Total Rare Earth Oxide; @defensemetals

 

#REE #Stock News- Defense Metals (TSX-V: $DEFN.V) (OTCQB: $DFMTF) Continues to Drill High-Grades at Wicheeda with 106 metres of 2.53% Total Rare Earth Oxide; @defensemetals

 

Drilling Includes 59 metres of 3.42%; Participate in the 18th International Rare Earths Conference

 



Vancouver, British Columbia – October 13, 2022: Investorideas.com Newswire, Mining/Metals/Green Energy Stock news-  Defense Metals Corp. (“Defense Metals” or the “Company”) (TSX-V:DEFN / OTCQB:DFMTF/ 35D: FSE) announces high-grade Rare Earth Element (“REE”) assay results from one additional core drill hole, totalling 320 metres (m), collared within the northern area of Defense Metals’ 100% owned Wicheeda REE Deposit.

 

Read this news, featuring DEFN in full at https://www.investorideas.com/news/2022/mining/10131DEFN-Rare-Earth-Oxide.asp

 

Infill drill hole WI22-67 (-60o dip / 197o azimuth)  was drilled southward within the northern area of the deposit and yielded a broad mixed lithology mineralized intercept comprising dolomite carbonatite and syenite averaging 2.53% total rare earth oxide (“TREO”) over 106 metres (m); including a high-grade zone of 3.42% TREO over 59 m[1] (Figure 1). The assays reported for WI22-67 are partial from surface to a downhole depth of 155 metres. Assay results for the remaining 165 m to end of hole at 320 m are expected in the coming days.

 

Craig Taylor, CEO, and Director of Defense Metals stated: “With the release of this additional drill hole, we continue to establish excellent continuity of mineralization in sectional infill drilling. As we advance the Wicheeda Project we know these kinds of results will contribute significantly to our goal of upgraded resource categories necessary to support a future Preliminary Feasibility Study (PFS).”

Table 1. Wicheeda REE Deposit 2022 Diamond Drill Intercepts

Hole ID

From (m)

To

(m)

Interval (m)

TREO[2] (%)

Ce2O(%)

La2O(%)

Nd2O(%)

Pr2O(%)

Sm2O(ppm)

Gd2O3 (ppm)

Eu2O3 (ppm)

Dy2O3 (ppm)

Tb4O7 (ppm)

Ho2O3 (ppm)

WI22-67 (197/-60)

30.7

137

106.3

2.53

1.22

0.87

0.28

0.10

307

149

66

36

13

4

including

41

100

59

3.42

1.65

1.19

0.37

0.14

381

184

80

40

16

4

WI22-62 (204/-50)

93

260

167

1.39

0.68

0.43

0.18

0.06

222

101

43

29

9

4

including

121

169

48

2.29

1.13

0.72

0.29

0.10

316

123

54

22

9

2

WI22-63 (204/-60)

148

187

39

2.29

1.12

0.79

0.25

0.09

246

120

47

26

9

3

including

175

184

9

5.08

2.45

1.84

0.52

0.19

472

215

91

49

17

5

WI22-64 (204/-65)

77

269.3

192.3

1.78

0.86

0.58

0.22

0.08

230

116

51

34

10

4

including

77

150

73

3.13

1.51

1.06

0.37

0.13

353

156

71

30

12

3

WI22-68 (220/-55)

109.4

233

123.6

3.58

1.69

1.29

0.38

0.14

376

160

71

35

12

3

including

212

230

18

6.70

3.11

2.50

0.71

0.27

619

260

111

47

18

5

 

Figure 1. Drill Section Hole WI22-67

 


 

18th International Rare Earths Conference, Las Vegas, Nevada

 

Defense Metals and many of its directors, management and advisors will be attending the 18th International Rare Earths Conference on October 17, 2022 to October 19, 2022 in Las Vegas, Nevada. Luisa Moreno, President and Director of the Company will be presenting on the “Wicheeda Deposit: The Next North American REE production”.

 

About the Wicheeda REE Property

The 100% owned 4,244-hectare Wicheeda REE Property, located approximately 80 km northeast of the city of Prince George, British Columbia, is readily accessible by all-weather gravel roads and is near infrastructure, including power transmission lines, the CN railway, and major highways.

 

The Wicheeda REE Project yielded a robust 2021 preliminary economic assessment technical report (PEA) that demonstrated an after-tax net present value (NPV@8%) of $517 million, and 18% IRR[3]. A unique advantage of the Wicheeda REE Project is the production of a saleable high-grade flotation-concentrate. The PEA contemplates a 1.8 Mtpa (million tonnes per year) mill throughput open pit mining operation with 1.75:1 (waste:mill feed) strip ratio over a 19 year mine (project) life producing and average of 25,423 tonnes REO annually. A Phase 1 initial pit strip ratio of 0.63:1 (waste:mill feed) would yield rapid access to higher grade surface mineralization in year 1 and payback of $440 million initial capital within 5 years.

 

Methodology and QA/QC

The analytical work reported on herein was performed by ALS Canada Ltd. (ALS) at Langley (sample preparation) and Vancouver (ICP-MS fusion), B.C. ALS is an ISO-IEC 17025:2017 and ISO 9001:2015 accredited geoanalytical laboratory and is independent of the Defense Metals and the QP. Drill core samples were subject to crushing at a minimum of 70% passing 2 mm, followed by pulverizing of a 250-gram split to 85% passing 75 microns. A 0.1-gram sample pulp was then subject to multi-element ICP-MS analysis via lithium-borate fusion to determine individual REE content (ME-MS81h). Defense Metals follows industry standard procedures for the work carried out on the Wicheeda Project, with a quality assurance/quality control (QA/QC) program. Blank, duplicate, and standard samples were inserted into the sample sequence sent to the laboratory for analysis. Defense Metals detected no significant QA/QC issues during review of the data.

 

Qualified Person

The scientific and technical information contained in this news release as it relates to the Wicheeda REE Project has been reviewed and approved by Kristopher J. Raffle, P.Geo. (BC) Principal and Consultant of APEX Geoscience Ltd. of Edmonton, AB, a director of Defense Metals and a “Qualified Person” as defined in NI 43-101. Mr. Raffle verified the data disclosed which includes a review of the sampling, analytical and test data underlying the information and opinions contained therein. 

 

About Defense Metals Corp.

Defense Metals Corp. is a mineral exploration and development company focused on the acquisition, exploration and development of mineral deposits containing metals and elements commonly used in the electric power markets, defense industry, national security sector and in the production of green energy technologies, such as, rare earths magnets used in wind turbines and in permanent magnet motors for electric vehicles. Defense Metals owns 100% of the Wicheeda Rare Earth Element Deposit located near Prince George, British Columbia, Canada. Defense Metals Corp. trades in Canada under the symbol “DEFN” on the TSX Venture Exchange, in the United States, under “DFMTF” on the OTCQB and in Germany on the Frankfurt Exchange under “35D”.

For further information, please contact:

Todd Hanas, Bluesky Corporate Communications Ltd.

Vice President, Investor Relations

Tel: (778) 994 8072

Email: todd@blueskycorp.ca

 

Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this news release.

 

Cautionary Statement Regarding “Forward-Looking” Information

This news release contains “forwardlooking information or statements” within the meaning of applicable securities laws, which may include, without limitation, statements relating to advancing the Wicheeda REE Project, drill results including anticipated timeline of such results/assays, upgrading the resource categories, completing the PFS, the Company’s plans for its Wicheeda REE Project, expanded resource and scale of expanded resource, expected results and outcomes, the technical, financial and business prospects of the Company, its project and other matters. All statements in this news release, other than statements of historical facts, that address events or developments that the Company expects to occur, are forward-looking statements. Although the Company believes the expectations expressed in such forward-looking statements are based on reasonable assumptions, such statements are not guarantees of future performance and actual results may differ materially from those in the forward-looking statements. Such statements and information are based on numerous assumptions regarding present and future business strategies and the environment in which the Company will operate in the future, including the price of rare earth elements, the anticipated costs and expenditures, the ability to achieve its goals, that general business and economic conditions will not change in a material adverse manner, that financing will be available if and when needed and on reasonable terms. Such forward-looking information reflects the Company’s views with respect to future events and is subject to risks, uncertainties and assumptions, including the risks and uncertainties relating to the interpretation of exploration results, risks related to the inherent uncertainty of exploration and cost estimates, the potential for unexpected costs and expenses and those other risks filed under the Company’s profile on SEDAR at www.sedar.comWhile such estimates and assumptions are considered reasonable by the management of the Company, they are inherently subject to significant business, economic, competitive and regulatory uncertainties and risks. Factors that could cause actual results to differ materially from those in forward looking statements include, but are not limited to, continued availability of capital and financing and general economic, market or business conditions, adverse weather and climate conditions, failure to maintain or obtain all necessary government permits, approvals and authorizations, failure to maintain community acceptance (including First Nations),  risks relating to unanticipated operational difficulties (including failure of equipment or processes to operate in accordance with specifications or expectations, cost escalation, unavailability of personnel, materials and equipment, government action or delays in the receipt of government approvals, industrial disturbances or other job action, and unanticipated events related to health, safety and environmental matters), risks relating to inaccurate geological and engineering assumptions, decrease in the price of rare earth elements, the impact of Covid-19 or other viruses and diseases on the Company’s ability to operate, an inability to predict and counteract the effects of COVID-19 on the business of the Company, including but not limited to, the effects of COVID-19 on the price of commodities, capital market conditions, restriction on labour and international travel and supply chains, loss of key employees, consultants, or directors, increase in costs, delayed drilling results, litigation, and failure of counterparties to perform their contractual obligations. The Company does not undertake to update forwardlooking statements or forwardlooking information, except as required by law.

 

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[1]The true width of REE mineralization is estimated to be 70-100% of the drilled interval.

[2]TREO % sum of CeO2, La2O3, Nd2O3, Pr6O11, Sm2O3, Eu2O3, Gd2O3, Tb4O7, Dy2O3 and Ho2O3.

[3] Independent Preliminary Economic Assessment for the Wicheeda Rare Earth Element Project, British Columbia, Canada, dated January 6, 2022, with an effective date of November 7, 2021, and prepared by SRK Consulting (Canada) Inc. is filed under Defense Metals Corp.’s Issuer Profile on SEDAR (www.sedar.com).

#AI #Cybersecurity #Stock GBT (OTCPK: $GTCH) is Researching the Development of a #MachineLearning Driven, RF Cybersecurity System and Protocol; #artificialintelligence



#AI #Cybersecurity #Stock GBT (OTCPK: $GTCH) is Researching the Development of a #MachineLearning Driven, RF Cybersecurity System and Protocol; #artificialintelligence

 

Aiming to provide adaptable, synthesized, new era #security for Radio Frequency networks through the use of #AI technology

 

SAN DIEGO, CA, October 13, 2022 (Investorideas.com Newswire) GBT Technologies Inc. (OTC PINK: GTCH("GBT” or the “Company”) is researching the development of a machine learning driven radio frequency (RF) cybersecurity system and protocol. Typical wireless security depends on a software and hardware identification for each wireless device. This fact creates a major cybersecurity vulnerability which can lead to a wireless device’s attack or cloning.  GBT is researching the development of a machine learning based system and protocol that will learn to recognize transmitters and receivers based on their unique RF fingerprint. GBT is analyzing a combination of hardware and software to be focused on learning transmitters/receivers RF features, identifying and categorizing their nature as safe or potential malicious attackers. The research is focused on developing a system to identify a potential intruder and then initiating an immediate RF fingerprint change to increase the network’s security measures and also providing an incident response.  In response to the out of network suspicious device, the communication system is expected to modify in real time, all other devices fingerprint to transmit in different waveforms, frequencies and other characteristics. The system under development is expected to automatically change all the wireless safe devices natural pattern to block and isolate the intruder. The ultimate goal of the system is to allow an entire network’s security level to be enhanced in real-time to avoid data theft, damage and malicious attacks. This planned system will be learning to synthesize RF waveforms on-the-fly as a response to cyber threat. The system and protocol are planned to include AI technology to create an intelligent wireless communication method, maximizing the security of wireless networks by enabling RF spectrum analysis and recognition of RF devices fingerprint and signature. The wireless network under development will constantly monitor and study with the goal of identifying any abnormalities. In case of a possible cyber threat the system is expected to dynamically reconfigure its operating modes to isolate the intrusion and continue its normal, secured operation. GBT aims to equip the system with cognitive, adaptive capabilities in order to perform an automatic reconfiguration, enabling an intelligent, fast response and efficient cybersecurity technology for wireless networks. The system is planned to be autonomous and self-learning to increase RF networks cyber threats awareness, detection, identification and elimination.

 

Read this news, featuring GTCH in full at https://www.investorideas.com/CO/GOPH/news/2022/10131Machine-Learning-RF-Cybersecurity.asp

“It is GBT’s goal to provide a new level of cybersecurity for wireless networks. Based on our experience in the RF domain we decided to develop an intelligent security system and protocol with the goal of being able to pick out and distinguish between RF signals, identifying the network members fingerprint and identifying the signals that do not belong. As our world’s RF spectrum is becoming highly occupied by numerous radio signals it becomes a great challenge to detect and identify intruders and attackers. Particularly with the rapid, constant expansion of the internet of things (IoT) technology, there now exists a vast amount of RF data in a wide variety of fields. We identified the need for a higher level of cybersecurity in the RF domain to properly secure data, avoid damages and preventing malicious attacks. We are working on an intelligent RF cybersecurity system and protocol that collects important, relevant information about the network’s devices, learning the network’s patterns and provides an immediate response in case of suspicious fingerprints identification. The system will have RF awareness to the wireless network patterns, signatures, and characteristics. It will have cognitive capabilities to learn the features of each transmitter and receiver with the goal of providing immediate identification of out-of-networks intruding devices. It will have reasoning algorithms to reach rapid conclusions and to execute RF characteristics change within the network’s members fingerprints and features. We are attempting to develop a system that will learn to understand the difference between safe and harmful signals detected in large bandwidths with the goal of building an efficient, intelligent network security awareness. We strongly believe that particularly in our times a robust RF cybersecurity technology must come of age to protect our normal daily lives, privacy and ultimately national security,” stated Danny Rittman, the Company’s CTO.

 

There is no guarantee that the Company will be successful in researching, developing or implementing this system.  In order to successfully implement this concept, the Company will need to raise adequate capital to support its research and, if successfully researched and fully developed, the Company would need to enter into a strategic relationship with a third party that has experience in manufacturing, selling and distributing this product.  There is no guarantee that the Company will be successful in any or all of these critical steps. 

 

About Us

GBT Technologies, Inc. (OTC PINK: GTCH) (“GBT”) (http://gbtti.com) is a development stage company which considers itself a native of Internet of Things (IoT), Artificial Intelligence (AI) and Enabled Mobile Technology Platforms used to increase IC performance. GBT has assembled a team with extensive technology expertise and is building an intellectual property portfolio consisting of many patents. GBT’s mission, to license the technology and IP to synergetic partners in the areas of hardware and software. Once commercialized, it is GBT’s goal to have a suite of products including smart microchips, AI, encryption, Blockchain, IC design, mobile security applications, database management protocols, with tracking and supporting cloud software (without the need for GPS). GBT envisions this system as a creation of a global mesh network using advanced nodes and super performing new generation IC technology. The core of the system will be its advanced microchip technology; technology that can be installed in any mobile or fixed device worldwide. GBT’s vision is to produce this system as a low cost, secure, private-mesh-network between all enabled devices. Thus, providing shared processing, advanced mobile database management and sharing while using these enhanced mobile features as an alternative to traditional carrier services.

 

Forward-Looking Statements

 

Certain statements contained in this press release may constitute "forward-looking statements".  Forward-looking statements provide current expectations of future events based on certain assumptions and include any statement that does not directly relate to any historical or current fact. Actual results may differ materially from those indicated by such forward-looking statements because of various important factors as disclosed in our filings with the Securities and Exchange Commission located at their website ( http://www.sec.gov).  In addition to these factors, actual future performance, outcomes, and results may differ materially because of more general factors including (without limitation) general industry and market conditions and growth rates, economic conditions, governmental and public policy changes, the Company’s ability to raise capital on acceptable terms, if at all, the Company’s successful development of its products and the integration into its existing products and the commercial acceptance of the Company’s products.  The forward-looking statements included in this press release represent the Company's views as of the date of this press release and these views could change.  However, while the Company may elect to update these forward-looking statements at some point in the future, the Company specifically disclaims any obligation to do so.  These forward-looking statements should not be relied upon as representing the Company's views as of any date subsequent to the date of the press release.

 

Contact:

Dr. Danny Rittman, CTO
press@gopherprotocol.com

 

GBT Technologies Inc. (OTCQB:GTCH) is a featured tech stock on

Investorideas.com

 

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Get News Alerts on GBT Technologies Inc GTCH

 

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Wednesday, October 12, 2022

#AIEye #Podcast 728: #Stocks discussed: (OTCQB: $LZGI) (NYSE: $VMW) #artificialintelligence



 

 

#AIEye #Podcast 728: #Stocks discussed: (OTCQB: $LZGI) (NYSE: $VMW) #artificialintelligence

 

Fatbrain AI Uplists to the OTCQB, and VMware Launches Next G-AI Centre in Montreal

 

Global #AI in #Manufacturing Market to Exceed $17.92B by 2028

 

Vancouver, Kelowna, Delta, BC – October 12, 2022  – Investorideas.com, a global investor news source covering Artificial Intelligence (AI) brings you today’s edition of  The AI Eye-watching stock news, deal tracker and advancements in artificial intelligence – featuring technology company LZG International Inc. (Fatbrain AI) (OTC:LZGI).

 

Listen to today’s podcast:

https://www.investorideas.com/Audio/Podcasts/2022/101222-AI-Eye.mp3

 

Read this in full at https://www.investorideas.com/news/2022/artificial-intelligence/10121LZGI-VMW.asp

 

Hear the Ai Eye on Spotify  

 

Today’s Column- The AI Eye- Watching stock news, deal tracker and advancements in artificial intelligence

 

Stocks discussed: (OTCQB:LZGI) (NYSE:VMW)

 

LZG International Inc. (Fatbrain AI) (OTCQB:LZGI) has announced its successful uplisting to the OTCQB Venture Market, as of October 10, keeping the ticker symbol "LZGI". Peter B. Ritz, co-founder and CEO of FatBrain AI, explained:

 

"Uplisting to the OTCQB is a milestone reached resulting from a FatBrain team committed to making our company stronger, more transparent, and its shares made available to a broader class of investors. Still, it's just one step in a much longer strategy to create more significant shareholder value by bringing to market the most advanced AI-fueled technology enabling clients across multiple industries and of all sizes to compete effectively and advance their company-specific journeys with industry knowledge once reserved for the industry behemoths."

                   

Shawn Carey, the company’s COO, said:

 

"Our mission at FatBrain AI is to equip entrepreneurs and mid-market businesses with simple to use AI solutions that will help them reclaim time, save money and boost their bottom lines. We look forward to showcasing our AI solutions on the global business stage and thank the OTCQB markets for helping facilitate that mission."

 

VMware, Inc. (NYSE:VMW) has launched the VMware Next G-AI Research and Innovation Centre in Montreal, Canada, which combines the company’s “multi-cloud infrastructure, advanced networking, and Modern Application Development expertise with the latest in emerging Cloud Native development techniques, Artificial Intelligence (AI) and Machine Learning (ML) technologies to deliver a sustainable path to 5G+ and 6G technologies.” Kit Colbert, CTO of VMware, said:

 

"Montreal has one of the most significant clusters of AI researchers in the world, as well as a thriving community of innovative startups. Through partnerships with researchers, startups and industry partners, we will be able to bring together cloud, networking and AI to build 6G technologies that are sustainable and centered on human needs."

 

Global AI in Manufacturing Market to Exceed $17.92B by 2028

 

A report published by Vantage Market Research finds that the global AI in Manufacturing market is projected to grow from $1.48 billion USD in 2021 to over $17.92 billion by 2028, registering a compound annual growth rate (CAGR) of 50.1 percent in the forecast period 2022-28. The following excerpt from the report’s description outlines the ways in which AI is impacting the manufacturing space:

 

The process of automation involves various sensors, softwares and IOT-driven machines which processes large amounts of data. To handle such a large amount of data, AI is the best solution. Along with AI, the use of machine learning and pattern recognition can help transform the manufacturing sector completely. Factors such as analysing and predicting consumer behavior, predicting preventive maintenance, detecting abnormalities in production lines, and sharing real time information are major factors for the growth of the Global AI in Manufacturing Market in the upcoming years.

 

Sam Mowers, Investorideas.com

 

Read and hear other editions of the AI  Eye

 

For a list of artificial intelligence stocks on Investorideas.com visit here

 

About FatBrain AI (LZG International, Inc.)

                   

FatBrain AI (LZG International, Inc.; OTC: LZGI) provides powerful and easy-to-use AI solutions to empower the star enterprises of tomorrow (aka mSMEs) to grow, innovate, and drive the majority of the global economy. FatBrain's AI 2.0 technologies and advanced data services transform continuous learning, narrative reasoning, cloud and blockchain technologies into auditable, explainable and easy to integrate AI solutions. FatBrain's subscription model allows all companies to deploy its advanced AI solutions quickly and easily, securely utilizing them on premises behind their firewalls or via cloud.

                   

For more information, please visit: https://www.fatbrain.ai

 

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