查看更多>>摘要：Reporters obtained the following quote from the background information supplied by the inventors:“Machine learning (ML) models and algorithms may be used to ge nerate a prediction, classification,and/or other type of output based on input data. Decision trees are a prominent type of ML model. Ingeneral, a decision tr ee is a supervised learning method used for classification and regression. A dec ision tree may be an ML model configured to predict the value of a target variab le by learning simple decisionrules inferred from data features used to build a nd/or train the decision tree. As such, decision treesmay provide a condition-b ased model for predicting an outcome, for example, configured as a series of ifthen-else statements providing a decision boundary to predict a given outcome.
查看更多>>摘要：Reporters obtained the following quote from the background information supplied by the inventors:“Machine learning (ML) models and algorithms may be used to ge nerate a prediction, classification,and/or other type of output based on input data. Decision trees are a prominent type of ML model. Ingeneral, a decision tr ee is a supervised learning method used for classification and regression. A dec ision tree may be an ML model configured to predict the value of a target variab le by learning simple decisionrules inferred from data features used to build a nd/or train the decision tree. As such, decision treesmay provide a condition-b ased model for predicting an outcome, for example, configured as a series of ifthen-else statements providing a decision boundary to predict a given outcome.
查看更多>>摘要：Reporters obtained the following quote from the background information supplied by the inventors: ““The present disclosure generally relates to the technical field of smart glasse s, and in particular tosmart glasses, a system and a control method based on ge nerative artificial intelligence large languagemodels.“With the development of computer technology, smart glasses are becoming more an d more popular.However, the existing smart glasses are expensive, and in additi on to their own functions as smart glasses,they usually only have the functions of listening to music and making or answering calls. Hence, thefunction of exi sting smart glasses is relatively simple, and the intelligence degree of existin g smart glassesis lower.”
查看更多>>摘要：Reporters obtained the following quote from the background information supplied by the inventors: ““The present disclosure generally relates to the technical field of smart glasse s, and in particular tosmart glasses, a system and a control method based on ge nerative artificial intelligence large languagemodels.“With the development of computer technology, smart glasses are becoming more an d more popular.However, the existing smart glasses are expensive, and in additi on to their own functions as smart glasses,they usually only have the functions of listening to music and making or answering calls. Hence, thefunction of exi sting smart glasses is relatively simple, and the intelligence degree of existin g smart glassesis lower.”
查看更多>>摘要：Reporters obtained the following quote from the background information supplied by the inventors:“Advances in artificial intelligence have put ever increasing pressure on logic and memory circuits to keepup with the computational requirem ents. As chip processing speeds increase, the amount of time requiredto store a nd retrieve information from memory becomes a bottleneck in machine learning sys tems. Theinventors have observed that the parallel arrangement of logic and mem ory devices has a profound impacton the storage and retrieval time for memory d ata.
查看更多>>摘要：Reporters obtained the following quote from the background information supplied by the inventors:“Advances in artificial intelligence have put ever increasing pressure on logic and memory circuits to keepup with the computational requirem ents. As chip processing speeds increase, the amount of time requiredto store a nd retrieve information from memory becomes a bottleneck in machine learning sys tems. Theinventors have observed that the parallel arrangement of logic and mem ory devices has a profound impacton the storage and retrieval time for memory d ata.
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: ““Field“The present disclosure relates to a robot system and a sensing method.“Description of the Related Art“Japanese Unexamined Patent Publication No. 2004-188535 discloses a robot in whi ch sensors fordetecting an actuator driving state, such as a position sensor, a n acceleration sensor, an angular velocitysensor, and a torque sensor, are buil t into each joint actuator device.”
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: ““Field“The present disclosure relates to a robot system and a sensing method.“Description of the Related Art“Japanese Unexamined Patent Publication No. 2004-188535 discloses a robot in whi ch sensors fordetecting an actuator driving state, such as a position sensor, a n acceleration sensor, an angular velocitysensor, and a torque sensor, are buil t into each joint actuator device.”
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied by theinventors: “Legal document review is a labor-intensive and time-consuming process that involves manualtagging of documents by human review ers. Modern machine learning-based solutions, such as TechnologyAssisted Review (TAR) and Continuous Active Learning (CAL), require human reviewers to tag docu mentsas examples for the machine to learn from. This process demands extensive time and resources and cantake days, weeks, or months to complete. Further, the process can cost millions of dollars.
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied by theinventors: “Legal document review is a labor-intensive and time-consuming process that involves manualtagging of documents by human review ers. Modern machine learning-based solutions, such as TechnologyAssisted Review (TAR) and Continuous Active Learning (CAL), require human reviewers to tag docu mentsas examples for the machine to learn from. This process demands extensive time and resources and cantake days, weeks, or months to complete. Further, the process can cost millions of dollars.
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