Robotics & Machine Learning Daily News2024,Issue(Jun.28) :164-169.

Patent Issued for Machine learning model trained to predict conversions for dete rmining lost conversions caused by restrictions in available fulfillment windows or fulfillment cost (USPTO 12008590)

为机器学习模型颁发专利,该模型被训练为预测因可用履行窗口或履行成本限制而导致的损失转换(USPTO 12008590)

Robotics & Machine Learning Daily News2024,Issue(Jun.28) :164-169.

Patent Issued for Machine learning model trained to predict conversions for dete rmining lost conversions caused by restrictions in available fulfillment windows or fulfillment cost (USPTO 12008590)

为机器学习模型颁发专利,该模型被训练为预测因可用履行窗口或履行成本限制而导致的损失转换(USPTO 12008590)

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摘要

Robotics&Machine Learning Daily News的新闻记者兼新闻编辑-根据NewsRx记者从弗吉尼亚州亚历山大市发回的新闻报道,发明者Ba Lachander、Aishwarya(加利福尼亚州圣拉蒙)、Freimer、Mike(加利福尼亚州米尔谷)、Hu、Qianyi(加利福尼亚州旧金山)、Jain、Aman(加利福尼亚州多伦多、萨雷什、美国)、FranWa(加利福尼亚州阿拉米达)、Zeliger、Soren(加利福尼亚州奥克兰)于2023年1月3日提交,2024年6月11日在线发表。专利号12008590的受让人是Maplebear Inc.。(美国加利福尼亚州圣弗拉恩思科)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting originatin g from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Ba lachander, Aishwarya (San Ramon, CA, US), Freimer, Mike (Mill Valley, CA, US), H u, Qianyi (San Francisco, CA, US), Jain, Aman (Toronto, CA), Krishnan, Ganesh (S an Francisco, CA, US), Ruan, George (Saratoga, CA, US), Yuan, Wa (Alameda, CA, U S), Zeliger, Soren (Oakland, CA, US), filed on January 3, 2023, was published on line on June 11, 2024. The assignee for this patent, patent number 12008590, is Maplebear Inc. (San Fra ncisco, California, United States).

Key words

Business/Cyborgs/Emerging Technologies/Machine Learning/Maplebear Inc

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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