Goldspot Discoveries Inc.

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GoldSpot is a technology company that leverages artificial intelligence to reduce capital risk while working to increase efficiencies and success rates in resource exploration and investment. GoldSpot combines proprietary technology with traditional domain expertise, offering a front-to-back serv...

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Goldspot Discoveries Inc.

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GoldSpot is a technology company that leverages artificial intelligence to reduce capital risk while working to incre......

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8 days ago

8020 Admin posted a press release GoldSpot Discoveries and Vale to Use Artificial Intelligence at Coleman Mine in GOLDSPOT DISCOVERIES INC.

Coleman Mine is Vale's flagship mine in Sudbury, Ontario


Toronto, Ontario--(Newsfile Corp. - October 24, 2019) - GoldSpot Discoveries Corp. (TSXV: SPOT) ("GoldSpot") is pleased to announce that its team of expert geologists and data scientists has been engaged by Vale Canada Limited ("Vale") to use machine learning to identify new drilling targets at Coleman Mine, part of its flagship base metals operations located in Sudbury, Ontario.


With the tremendous amount of data Vale has acquired over multiple decades of mining at Coleman, Vale has commissioned GoldSpot to examine the entire database and look for previously unrecognised data trends which may point to unknown areas of mineralization at depth. Deep mine exploration and drilling can be costly. By employing GoldSpot to deploy machine learning into near-mine mineral exploration, Vale will work to minimize exploration risk.


GoldSpot will use its geoscience and machine science expertise to clean, unify and analyse exploration data from Vale's Coleman Mine and produce 3D targets for the exploration program. GoldSpot will also deliver new geophysical products produced through the reprocessing of the borehole EM for sulphide detection and new simplified lithological interpretations and models.


"Vale is one of the world's largest nickel producers and the Coleman Mine is a major operation in Ontario. To be part of the digital transformation of one of the world's leading diversified miners is an incredible opportunity for our company. At GoldSpot, we are excited to put our technology and team into action on a copper, nickel and precious metals deposit," said Denis Laviolette, CEO and President of GoldSpot.


About GoldSpot Discoveries Corp.


GoldSpot is a technology company that leverages machine learning to reduce capital risk, while working to increase efficiencies and success rates in resource exploration and investment. GoldSpot combines proprietary technology with traditional domain expertise, offering a front-to-back service solution to its partners. GoldSpot's solutions target big data problems, making full use of historically unutilized data to better comprehend resource property potential. GoldSpot has developed a monetization strategy into multiple verticals of the mining and investment industry, including service offerings, staking and royalty acquisition, and the development of its own artificial-intelligence-driven trading platform.


For further information please contact:


Denis Laviolette, President, CEO and Director
GoldSpot Discoveries Corp.
Tel: 647-992-9837
Email: denis@GoldSpot.ca


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



To view the source version of this press release, please visit https://www.newsfilecorp.com/release/49092


!
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8020 Admin

10 days ago

8020 Admin posted a press release Gran Colombia Confirms GoldSpot's Machine Learning Targets in GOLDSPOT DISCOVERIES INC.

Toronto, Ontario--(Newsfile Corp. - October 22, 2019) - GoldSpot Discoveries Corp. (TSXV: SPOT) (the "Company" or "GoldSpot") congratulates Gran Colombia Gold Corp. ("Gran Colombia") on its recent exploration successes. Over the last several months, GoldSpot has been working closely with the exploration team from Gran Colombia to leverage machine learning capabilities for data processing and prospectivity analysis to aid in establishing future drilling targets at Segovia, both near the existing mine areas as well as regional exploration away from the main mines.


Serafino Iacono, executive chairman of Gran Colombia, commented: "Over the last several months, our exploration team has been working closely with the team from GoldSpot Discoveries as they leverage machine-learning capabilities in a data processing and prospectivity analysis to aid in establishing future drilling targets at Segovia, both near the existing mine areas as well as regional exploration away from the main mines. We successfully tested some of our recent drill results against the preliminary findings in GoldSpot's analysis. The favourable overlap of our actual drill results with the preliminary machine-learning models bodes well as we get ready to carry out about 70,000 metres of drilling at Segovia over the next approximately 18 months."


"We commend Gran Colombia on the rigorous work of geologists and its ground-truthing results," said GoldSpot President and CEO Denis Laviolette. "This drilling campaign illustrates how even a seasoned technical team can benefit from adding machine learning to its toolkit, and we are pleased to have contributed to our client's success."


In other news, GoldSpot welcomes Gerry Feldman and James Dendle to its board of directors. Both were elected at the Company's annual general shareholder meeting held on October 17, 2019.


James Dendle is Vice President, Geology at Triple Flag Mining Finance Ltd., a private streaming and royalty company, and was formerly a Senior Consultant at SRK Consulting (UK). He has a background in estimating and auditing resources and reserves, and specialisation in multidisciplinary evaluation of mining operations. Mr. Dendle holds a Bachelor of Science in Applied Geology (1st Class Honours) and a Master of Science in Mining Geology (Distinction) from the University of Exeter, Camborne School of Mines, and is a Chartered Geologist of the Geological Society of London.


Gerry Feldman is a Chartered Professional Accountant with more than 35 years of experience in mergers and acquisition in the investment community. Mr. Feldman is the Chief Financial Officer and Corporate Secretary of ThreeD Capital Inc., an investment company. He is also the Managing Partner of DNTW Toronto LLP Chartered Professional Accountants. Mr. Feldman received his CA designation in 1985 and is a member of the Canadian Public Accountability Board and a member in good standing with the Chartered Professional Accountants of Canada and Ontario.


About GoldSpot Discoveries Corp.


GoldSpot is a technology company that leverages machine learning to reduce capital risk, while working to increase efficiency and success rates in resource exploration and investment. GoldSpot combines proprietary technology with traditional domain expertise, offering a front to-back service solution to its partners. GoldSpot's solutions target big data problems, making full use of historically unutilized data to better comprehend resource property potential. GoldSpot has developed a monetization strategy into multiple verticals of the mining and investment industry, including service offerings, staking and royalty acquisition, and the development of its own artificial-intelligence driven trading platform.


For further information please contact:


Denis Laviolette, President, CEO and Director
GoldSpot Discoveries Corp.
647-992-9837


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



To view the source version of this press release, please visit https://www.newsfilecorp.com/release/48988

!
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8020 Admin

17 days ago

8020 Admin posted a press release GoldSpot Discoveries Successfully Uses Deep Learning to Generate Accurate Geological Maps in GOLDSPOT DISCOVERIES INC.

Toronto, Ontario--(Newsfile Corp. - October 15, 2019) - GoldSpot Discoveries Corp. (TSXV: SPOT) (the "Company" or "GoldSpot") is pleased to provide an update on the benefits of its proprietary artificial intelligence (AI) technology.


Testimonial From Yamana Gold


"GoldSpot and Yamana Gold recently completed a machine learning collaboration in the area surrounding the El Penon mine site using extensive, multidisciplinary, geological, geophysical and geochemical datasets. The study was successful in identifying known mineralized areas in the mine in blind tests and is now playing a significant role in aggressive ongoing exploration efforts. GoldSpot was able to create a predictive lithological map for covered areas that is particularly useful for prioritizing drill targets. The highly collaborative approach demonstrated by the GoldSpot team contributed greatly to the quality of the final product." Henry Marsden, Senior Vice President, Exploration


Geological maps are a key component of mineral deposit exploration and discovery. These maps are used by geologists to interpret regions around ore deposits, and are generally created by experts using field observations and interpretations. GoldSpot's Research and Development Team has developed proprietary AI techniques, which allow the rapid creation of geological maps for deployment into exploration projects. Combining geology and data science, this application is just one of the use cases for AI in mineral exploration.


Traditionally, geologists create lithological (rock-type) maps by walking the ground and making sense of the composition and structure of the Earth's surface. Always a challenge, this exercise is further complicated when overburden, such as soil or glacial till, overlies the area of interest and potential ore bodies.


To overcome this problem, various methods to perform predictive lithological mapping using remote sensing and geophysical data have been studied and demonstrated. The simplest approach has been for geologists to simply observe datasets which are printed out and layered on top of one another. This kind of manual pattern recognition may be effective when the geologist has experience in a particular area, but it is also a time-consuming and subjective approach which varies depending on the geologist.


GoldSpot has developed Deep Learning AI models for the creation of lithological maps. The technique has shown to be particularly effective in areas where rock outcrop exposure is poor and ore deposit exploration is therefore difficult. This time-saving approach is currently being applied to GoldSpot's clients' projects that include greenfield exploration, as well as brownfields districts where conventional approaches have proven ineffective. The quality and distribution of input data is critical, and can include drone/satellite remote sensing and geophysical data. More specifically, the most successful projects have integrated a selection of radiometrics, magnetics, satellite hyperspectral, synthetic aperture radar, and thermal infrared data.


The results of GoldSpot's predictive geological mapping are typically delivered to clients as georeferenced maps and ESRI shapefiles, which delineate both geological features and a probability map across the area of interest. That probabilistic interpretation offers a significant advantage over traditional maps, which do not quantify the uncertainty of the map-maker's interpretations.


Cannot view this image? Visit: https://orders.newsfilecorp.com/files/5844/48728_db1ded1164f55a80_001.jpg

Figure 1: Incomplete Geological Map


To view an enhanced version of Figure 1, please visit:
https://orders.newsfilecorp.com/files/5844/48728_db1ded1164f55a80_001full.jpg


 


Cannot view this image? Visit: https://orders.newsfilecorp.com/files/5844/48728_db1ded1164f55a80_002.jpg

Figure 2: Machine Learning Produced Geological Map


To view an enhanced version of Figure 2, please visit:
https://orders.newsfilecorp.com/files/5844/48728_db1ded1164f55a80_002full.jpg


The use of machine learning to generate accurate lithological maps provides geologists with actionable intelligence, and delivers significant cost and time savings to exploration projects. Maps can be generated early and quickly during the exploration process, and groundtruthed in the field. As field validation continues, new observations are integrated into the AI model. The result is an iterative, machine-assisted feedback loop that allows explorers to move faster than when using slower, manual methods of mapping-based discovery.


Machine learning geological mapping is a single example of GoldSpot's suite of exploration offerings. As a tool in the explorer's toolbox, AI and machine learning are only beginning to be properly recognized as a means of optimizing the entire mineral exploration process.


About GoldSpot Discoveries Corp.


GoldSpot is a technology company that leverages machine learning to reduce capital risk, while working to increase efficiency and success rates in resource exploration and investment. GoldSpot combines proprietary technology with traditional domain expertise, offering a front to-back service solution to its partners. GoldSpot's solutions target big data problems, making full use of historically unutilized data to better comprehend resource property potential. GoldSpot has developed a monetization strategy into multiple verticals of the mining and investment industry, including service offerings, staking and royalty acquisition, and the development of its own artificial-intelligence driven trading platform.


For further information please contact:


Denis Laviolette, President, CEO and Director
GoldSpot Discoveries Corp.
647-992-9837


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


To view the source version of this press release, please visit https://www.newsfilecorp.com/release/48728

!

Goldspot Discoveries Inc.

publicPublic Group

GoldSpot is a technology company that leverages artificial intelligence to reduce capital risk while working to increase efficiencies and success rates in resource exploration and investment. GoldSpot combines proprietary technology with traditional domain expertise, offering a front-to-back serv...

people5 Members       (0)

Corporate Profile
Group Admins:
  • Thumb 8020 monitor 200200 2
Add Corporate Feed


Goldspot Discoveries Inc.

publicPublicGroup

GoldSpot is a technology company that leverages artificial intelligence to reduce capital risk while working to incre......

people5 Members       (0)

Thumb 8020 monitor 200200 2

8020 Admin

8 days ago

8020 Admin posted a press release GoldSpot Discoveries and Vale to Use Artificial Intelligence at Coleman Mine in GOLDSPOT DISCOVERIES INC.

Coleman Mine is Vale's flagship mine in Sudbury, Ontario


Toronto, Ontario--(Newsfile Corp. - October 24, 2019) - GoldSpot Discoveries Corp. (TSXV: SPOT) ("GoldSpot") is pleased to announce that its team of expert geologists and data scientists has been engaged by Vale Canada Limited ("Vale") to use machine learning to identify new drilling targets at Coleman Mine, part of its flagship base metals operations located in Sudbury, Ontario.


With the tremendous amount of data Vale has acquired over multiple decades of mining at Coleman, Vale has commissioned GoldSpot to examine the entire database and look for previously unrecognised data trends which may point to unknown areas of mineralization at depth. Deep mine exploration and drilling can be costly. By employing GoldSpot to deploy machine learning into near-mine mineral exploration, Vale will work to minimize exploration risk.


GoldSpot will use its geoscience and machine science expertise to clean, unify and analyse exploration data from Vale's Coleman Mine and produce 3D targets for the exploration program. GoldSpot will also deliver new geophysical products produced through the reprocessing of the borehole EM for sulphide detection and new simplified lithological interpretations and models.


"Vale is one of the world's largest nickel producers and the Coleman Mine is a major operation in Ontario. To be part of the digital transformation of one of the world's leading diversified miners is an incredible opportunity for our company. At GoldSpot, we are excited to put our technology and team into action on a copper, nickel and precious metals deposit," said Denis Laviolette, CEO and President of GoldSpot.


About GoldSpot Discoveries Corp.


GoldSpot is a technology company that leverages machine learning to reduce capital risk, while working to increase efficiencies and success rates in resource exploration and investment. GoldSpot combines proprietary technology with traditional domain expertise, offering a front-to-back service solution to its partners. GoldSpot's solutions target big data problems, making full use of historically unutilized data to better comprehend resource property potential. GoldSpot has developed a monetization strategy into multiple verticals of the mining and investment industry, including service offerings, staking and royalty acquisition, and the development of its own artificial-intelligence-driven trading platform.


For further information please contact:


Denis Laviolette, President, CEO and Director
GoldSpot Discoveries Corp.
Tel: 647-992-9837
Email: denis@GoldSpot.ca


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



To view the source version of this press release, please visit https://www.newsfilecorp.com/release/49092


!
Thumb 8020 monitor 200200 2

8020 Admin

10 days ago

8020 Admin posted a press release Gran Colombia Confirms GoldSpot's Machine Learning Targets in GOLDSPOT DISCOVERIES INC.

Toronto, Ontario--(Newsfile Corp. - October 22, 2019) - GoldSpot Discoveries Corp. (TSXV: SPOT) (the "Company" or "GoldSpot") congratulates Gran Colombia Gold Corp. ("Gran Colombia") on its recent exploration successes. Over the last several months, GoldSpot has been working closely with the exploration team from Gran Colombia to leverage machine learning capabilities for data processing and prospectivity analysis to aid in establishing future drilling targets at Segovia, both near the existing mine areas as well as regional exploration away from the main mines.


Serafino Iacono, executive chairman of Gran Colombia, commented: "Over the last several months, our exploration team has been working closely with the team from GoldSpot Discoveries as they leverage machine-learning capabilities in a data processing and prospectivity analysis to aid in establishing future drilling targets at Segovia, both near the existing mine areas as well as regional exploration away from the main mines. We successfully tested some of our recent drill results against the preliminary findings in GoldSpot's analysis. The favourable overlap of our actual drill results with the preliminary machine-learning models bodes well as we get ready to carry out about 70,000 metres of drilling at Segovia over the next approximately 18 months."


"We commend Gran Colombia on the rigorous work of geologists and its ground-truthing results," said GoldSpot President and CEO Denis Laviolette. "This drilling campaign illustrates how even a seasoned technical team can benefit from adding machine learning to its toolkit, and we are pleased to have contributed to our client's success."


In other news, GoldSpot welcomes Gerry Feldman and James Dendle to its board of directors. Both were elected at the Company's annual general shareholder meeting held on October 17, 2019.


James Dendle is Vice President, Geology at Triple Flag Mining Finance Ltd., a private streaming and royalty company, and was formerly a Senior Consultant at SRK Consulting (UK). He has a background in estimating and auditing resources and reserves, and specialisation in multidisciplinary evaluation of mining operations. Mr. Dendle holds a Bachelor of Science in Applied Geology (1st Class Honours) and a Master of Science in Mining Geology (Distinction) from the University of Exeter, Camborne School of Mines, and is a Chartered Geologist of the Geological Society of London.


Gerry Feldman is a Chartered Professional Accountant with more than 35 years of experience in mergers and acquisition in the investment community. Mr. Feldman is the Chief Financial Officer and Corporate Secretary of ThreeD Capital Inc., an investment company. He is also the Managing Partner of DNTW Toronto LLP Chartered Professional Accountants. Mr. Feldman received his CA designation in 1985 and is a member of the Canadian Public Accountability Board and a member in good standing with the Chartered Professional Accountants of Canada and Ontario.


About GoldSpot Discoveries Corp.


GoldSpot is a technology company that leverages machine learning to reduce capital risk, while working to increase efficiency and success rates in resource exploration and investment. GoldSpot combines proprietary technology with traditional domain expertise, offering a front to-back service solution to its partners. GoldSpot's solutions target big data problems, making full use of historically unutilized data to better comprehend resource property potential. GoldSpot has developed a monetization strategy into multiple verticals of the mining and investment industry, including service offerings, staking and royalty acquisition, and the development of its own artificial-intelligence driven trading platform.


For further information please contact:


Denis Laviolette, President, CEO and Director
GoldSpot Discoveries Corp.
647-992-9837


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



To view the source version of this press release, please visit https://www.newsfilecorp.com/release/48988

!
Thumb 8020 monitor 200200 2

8020 Admin

17 days ago

8020 Admin posted a press release GoldSpot Discoveries Successfully Uses Deep Learning to Generate Accurate Geological Maps in GOLDSPOT DISCOVERIES INC.

Toronto, Ontario--(Newsfile Corp. - October 15, 2019) - GoldSpot Discoveries Corp. (TSXV: SPOT) (the "Company" or "GoldSpot") is pleased to provide an update on the benefits of its proprietary artificial intelligence (AI) technology.


Testimonial From Yamana Gold


"GoldSpot and Yamana Gold recently completed a machine learning collaboration in the area surrounding the El Penon mine site using extensive, multidisciplinary, geological, geophysical and geochemical datasets. The study was successful in identifying known mineralized areas in the mine in blind tests and is now playing a significant role in aggressive ongoing exploration efforts. GoldSpot was able to create a predictive lithological map for covered areas that is particularly useful for prioritizing drill targets. The highly collaborative approach demonstrated by the GoldSpot team contributed greatly to the quality of the final product." Henry Marsden, Senior Vice President, Exploration


Geological maps are a key component of mineral deposit exploration and discovery. These maps are used by geologists to interpret regions around ore deposits, and are generally created by experts using field observations and interpretations. GoldSpot's Research and Development Team has developed proprietary AI techniques, which allow the rapid creation of geological maps for deployment into exploration projects. Combining geology and data science, this application is just one of the use cases for AI in mineral exploration.


Traditionally, geologists create lithological (rock-type) maps by walking the ground and making sense of the composition and structure of the Earth's surface. Always a challenge, this exercise is further complicated when overburden, such as soil or glacial till, overlies the area of interest and potential ore bodies.


To overcome this problem, various methods to perform predictive lithological mapping using remote sensing and geophysical data have been studied and demonstrated. The simplest approach has been for geologists to simply observe datasets which are printed out and layered on top of one another. This kind of manual pattern recognition may be effective when the geologist has experience in a particular area, but it is also a time-consuming and subjective approach which varies depending on the geologist.


GoldSpot has developed Deep Learning AI models for the creation of lithological maps. The technique has shown to be particularly effective in areas where rock outcrop exposure is poor and ore deposit exploration is therefore difficult. This time-saving approach is currently being applied to GoldSpot's clients' projects that include greenfield exploration, as well as brownfields districts where conventional approaches have proven ineffective. The quality and distribution of input data is critical, and can include drone/satellite remote sensing and geophysical data. More specifically, the most successful projects have integrated a selection of radiometrics, magnetics, satellite hyperspectral, synthetic aperture radar, and thermal infrared data.


The results of GoldSpot's predictive geological mapping are typically delivered to clients as georeferenced maps and ESRI shapefiles, which delineate both geological features and a probability map across the area of interest. That probabilistic interpretation offers a significant advantage over traditional maps, which do not quantify the uncertainty of the map-maker's interpretations.


Cannot view this image? Visit: https://orders.newsfilecorp.com/files/5844/48728_db1ded1164f55a80_001.jpg

Figure 1: Incomplete Geological Map


To view an enhanced version of Figure 1, please visit:
https://orders.newsfilecorp.com/files/5844/48728_db1ded1164f55a80_001full.jpg


 


Cannot view this image? Visit: https://orders.newsfilecorp.com/files/5844/48728_db1ded1164f55a80_002.jpg

Figure 2: Machine Learning Produced Geological Map


To view an enhanced version of Figure 2, please visit:
https://orders.newsfilecorp.com/files/5844/48728_db1ded1164f55a80_002full.jpg


The use of machine learning to generate accurate lithological maps provides geologists with actionable intelligence, and delivers significant cost and time savings to exploration projects. Maps can be generated early and quickly during the exploration process, and groundtruthed in the field. As field validation continues, new observations are integrated into the AI model. The result is an iterative, machine-assisted feedback loop that allows explorers to move faster than when using slower, manual methods of mapping-based discovery.


Machine learning geological mapping is a single example of GoldSpot's suite of exploration offerings. As a tool in the explorer's toolbox, AI and machine learning are only beginning to be properly recognized as a means of optimizing the entire mineral exploration process.


About GoldSpot Discoveries Corp.


GoldSpot is a technology company that leverages machine learning to reduce capital risk, while working to increase efficiency and success rates in resource exploration and investment. GoldSpot combines proprietary technology with traditional domain expertise, offering a front to-back service solution to its partners. GoldSpot's solutions target big data problems, making full use of historically unutilized data to better comprehend resource property potential. GoldSpot has developed a monetization strategy into multiple verticals of the mining and investment industry, including service offerings, staking and royalty acquisition, and the development of its own artificial-intelligence driven trading platform.


For further information please contact:


Denis Laviolette, President, CEO and Director
GoldSpot Discoveries Corp.
647-992-9837


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


To view the source version of this press release, please visit https://www.newsfilecorp.com/release/48728

!