Update MLPerf_Results_Messaging_Guidelines.adoc

last registered trademark fixes

MLPerf_Results_Messaging_Guidelines.adoc

@@ -59,7 +59,7 @@ For all footnotes required by these Guidelines, the size and color of the footno
 **Examples for MLCommons Reviewed Result**: 
 
 [quote]
-[1] MLPerf® v0.5 Inference Closed ResNet-v1.5 offline. Retrieved from https://mlcommons.org/en/training-normal-05/ 21 December 2018, entry 0.5-12. Result verified by MLCommons Association. The MLPerf name and logo are trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.
+[1] MLPerf® v0.5 Inference Closed ResNet-v1.5 offline. Retrieved from https://mlcommons.org/en/training-normal-05/ 21 December 2018, entry 0.5-12. Result verified by MLCommons Association. The MLPerf name and logo are registered and unregistered trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.
 
 or
 
@@ -86,15 +86,15 @@ When comparing results the main text, table, or figure must clearly identify any
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 SmartAI Corp achieved an unverified score of 0.6 on the MLPerf® Image Classification benchmark using a SmartCluster with 8 chips in the RDI category of Closed Division which is faster than the unverified result of 7.2 achieved by LessSmartAI Corp with 16 chips in the Available on-premise category of Closed Division.[1]
 
-**Required Footnote**: “[1]Result not verified by MLCommons Association. MLPerf name and logo are trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.
+**Required Footnote**: “[1]Result not verified by MLCommons Association. The MLPerf name and logo are registered and unregistered trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.
 ____
 
 **Example for MLCommons Reviewed Result**: 
 
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 SmartAI Corp achieved a score of 0.6 on the MLPerf® Image Classification benchmark using a SmartCluster with 8 chips in the RDI category of Closed Division which is faster than the result of 7.2 achieved by LessSmartAI Corp with 16 chips in the Available on-premise category of Closed Division.[1]
   
-**Required Footnote**: “[1]Result verified by MLCommons Association. MLPerf name and logo are trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.”
+**Required Footnote**: “[1]Result verified by MLCommons Association. The MLPerf name and logo are registered and unregistered trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.”
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 Furthermore, a comparison of an unverified result with a verified result must include the following statement in a footnote: “_Unverified results have not been through an MLPerf® review and may use measurement methodologies and/or workload implementations that are inconsistent with the MLPerf specification for verified results._”
@@ -120,7 +120,7 @@ System power measured using the MLPerf Power methodology is the only MLCommons o
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 AI_OEM1 Corp had a MLPerf® score of 1000fps and a measured power of 200W. Therefore, AI_OEM1 achieved 5fps/W.[1]
  
-**Required Footnote**: “[1]Result verified by MLCommons Association. MLPerf name and logo are trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.
+**Required Footnote**: “[1]Result verified by MLCommons Association. The MLPerf name and logo are registered and unregistered trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.
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 or
@@ -130,15 +130,15 @@ AI_OEM1 Corp had a MLPerf® score of 1000fps using Accelerator1-250W while AI_OE
  
 **Required Footnote 1**: “[1] Note that this comparison does not derive perf/W from the accelerator TDP, but merely differentiates that the two submitters used the same accelerator in a different configuration and obtained different results.”
 
-**Required Footnote 2**: “[2]Result verified by MLCommons Association. MLPerf name and logo are trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.”
+**Required Footnote 2**: “[2]Result verified by MLCommons Association. The MLPerf name and logo are registered and unregistered trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.”
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 or
 
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 AI_OEM1 Corp had a MLPerf® score of 1000fps using Accelerator1-250W with a measured system power of 500W. AI_OEM2 Corp had a MLPerf score of 900fps using Accelerator1-150W and a measured system power of 400W. Therefore, AI_OEM1 Corp achieved 2fps/W while AI_OEM2 achieved 2.25fps/W using the same accelerator.[1]
 
-**Required Footnote**: “[1]Result verified by MLCommons Association. MLPerf name and logo are trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.
+**Required Footnote**: “[1]Result verified by MLCommons Association. The MLPerf name and logo are registered and unregistered trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.
 
 (In this case, the submitters are allowed to specify the accelerator TDP configuration since it is part of the SKU name, so the first sentence is valid. However in the second sentence, when they measure power and derive their perf/W score, they used the MLPerf measured power. Therefore the second sentence is also valid and the statement does not violate this rule.)
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