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    Studies from American International University-Bangladesh in the Area of Artific ial Intelligence Reported (Explainable Ai Approaches In Deep Learning: Advanceme nts, Applications and Challenges)

    145-146页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ar tificial Intelligence. According to news originating from Dhaka, Bangladesh, by NewsRx correspondents, research stated, “Explainable Artificial Intelligence ref ers to developing artificial intelligence models and systems that can provide cl ear, understandable, and transparent explanations for their decisions and predic tions. In deep learning, where complex neural networks often operate as ‘black b oxes’, the importance of explainable AI lies in enhancing trust, accountability, and interoperability.”

    Patent Issued for Machine learning based classification and annotation of paragr aph of resume document images based on visual properties of the resume document images, and methods and apparatus for the same (USPTO 12008304)

    146-149页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – From Alexandria, Virginia, NewsRx jour nalists report that a patent by the inventors Mihai, Adrian (Dublin, IE), O’Gorm an, Eoin (London, GB), filed on May 6, 2022, was published online on June 11, 20 24. The patent’s assignee for patent number 12008304 is iCIMS Inc. (Holmdel, New Jer sey, United States). News editors obtained the following quote from the background information suppli ed by the inventors: “Classification of paragraphs of resume documents can be us eful in many applications. For example, classification of paragraphs of resume d ocuments can be helpful for a company’s human resources team, a networking socia l platform, and/or the like. Known methods of classification of paragraphs of re sume documents, however, are labor-intensive and can be costly. Current approach es used in parsing of information in unstructured text rely on rules-based mecha nisms that are sensitive to technical domains, language and spelling errors, and rely on long lists of binary comparisons that are run against pre-defined sets of ad-hoc rules on top of customized taxonomies and vocabularies. Such methods a nd devices do not scale well and reach their limits when a use context is change d or shifted (e.g., from resume parsing to job-description parsing), used in a d ifferent language, used on a new industrial field, spelling errors or disambigua tion occurs, and/or the like.

    Patent Issued for Apparatus and method for charging a robotic load handling devi ce (USPTO 12006150)

    149-153页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – From Alexandria, Virginia, NewsRx jour nalists report that a patent by the inventors Benfold, James (Hatfield Herts, GB ), Davidson, Alex (Hatfield Herts, GB), Sim, Robin (Hatfield Herts, GB), Thurnel l, Benjamin (Hatfield Herts, GB), filed on May 8, 2019, was published online on June 11, 2024. The patent’s assignee for patent number 12006150 is Ocado Innovation Limited (He rts, United Kingdom).

    Patent Issued for Surface topography measurement systems (USPTO 12010415)

    153-156页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A patent by the inventors Adelson, Edw ard H. (Winchester, MA, US), Rohaly, Janos (Concord, MA, US), filed on May 17, 2 021, was published online on June 11, 2024, according to news reporting originat ing from Alexandria, Virginia, by NewsRx correspondents. Patent number 12010415 is assigned to GelSight Inc. (Waltham, Massachusetts, Uni ted States).

    Patent Issued for Control device, control method, and program (USPTO 12005568)

    156-158页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – JOHNAN Corporation (Uji, Japan) has be en issued patent number 12005568, according to news reporting originating out of Alexandria, Virginia, by NewsRx editors. The patent’s inventors are Brooks, Lucas (Uji, JP), Kameyama, Shin (Uji, JP), Mo riyama, Kozo (Uji, JP), Vu, Truong Gia (Uji, JP). This patent was filed on July 31, 2020 and was published online on June 11, 2024 . From the background information supplied by the inventors, news correspondents o btained the following quote: “BACKGROUND ART “Conventional techniques have disclosed robot control devices for causing a robo t to work with a worker (for example, see PTL 1).

    Patent Application Titled 'Produce Harvesting System' Published Online (USPTO 20 240188497)

    158-161页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors Chabala, Joseph Edward (Bridgeville, PA, US); Chi, Yun Nuo (Monroeville, P A, US); Contino, Brandon M. (Pittsburgh, PA, US); Murali, Mira (Pittsburgh, PA, US); Rice, Wesly Mason (Gibsonia, PA, US); Suresh, Jayanth (Pittsburgh, PA, US), filed on December 12, 2023, was made available online on June 13, 2024. The assignee for this patent application is Four Growers Inc. (Turtle Creek, Pen nsylvania, United States). Reporters obtained the following quote from the background information supplied by the inventors: “The increasing human population is causing an increase in the demand for food, much of which is produced by the farming industry. Labor suppl y is an ongoing issue in the farming industry. Accordingly, automation solutions are being developed to address labor issues within the farming industry includi ng the harvesting and storing of produce.”

    Patent Application Titled 'Federated Learning For Media Content Recommendation' Published Online (USPTO 20240193468)

    161-164页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntor GAO, Haipeng (Culver City, CA, US), filed on December 8, 2022, was made ava ilable online on June 13, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “Nowadays, more and more applications are designed to provide users with various services. Users can perform various operations on the applica tion. For example, users can view various media contents (such as images, videos , audio, etc.) via an application. To this end, the application may recommend th e users with media contents by using a machine learning (ML) model. Therefore, i t is desired for the ML model to recommend media contents which the users are re ally interest of.”

    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)

    164-169页
    查看更多>>摘要: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).

    Patent Issued for Intelligent automated order-based customer dialogue system (US PTO 12008328)

    169-172页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Walgreen Co. (Deerfield, Illinois, Uni ted States) has been issued patent number 12008328, according to news reporting originating out of Alexandria, Virginia, by NewsRx editors. The patent’s inventors are Derza, Oliver (Willowbrook, IL, US). This patent was filed on April 14, 2023 and was published online on June 11, 202 4. From the background information supplied by the inventors, news correspondents o btained the following quote: “Typically, when a customer arrives at a location o f an enterprise to pick up a previously-placed order, e.g., via curbside pickup, the customer electronically notifies the enterprise of the customer’s arrival, for example, by activating a user control on an enterprise application executing on the customer’s personal electronic device (PED) or by activating a user cont rol included in an email from the enterprise. Subsequently, the customer waits f or the order to be delivered to the customer’s vehicle. In most situations, the only electronic interaction between the customer and the enterprise during the c ustomer’s wait (if any at all) consists of updates on the order’s fulfillment st atus provided by the enterprise and delivered to the customer’s PED. Some enterp rises provide a phone number for the customer to call if the customer has questi ons during the wait.”

    'Amplified Collective Intelligence In Large Populations Using Deadbands And Netw orked Sub-Groups' in Patent Application Approval Process (USPTO 20240192841)

    172-177页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A patent application by the inventors Rosenberg, Louis B. (San Luis Obispo, CA, US); Willcox, Gregg (Seattle, WA, US), filed on February 22, 2024, was made available online on June 13, 2024, accordi ng to news reporting originating from Washington, D.C., by NewsRx correspondents . This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “This application is a continuation of U.S. appl ication Ser. No. 18/194,056, filed Mar. 31, 2023, entitled REAL-TIME COLLABORATI VE SLIDER-SWARM WITH DEADBANDS FOR AMPLIFIED COLLECTIVE INTELLIGENCE, which is a continuation-in-part of U.S. application Ser. No. 17/744,464 entitled HYPER-SWA RM METHOD AND SYSTEM FOR COLLABORATIVE FORECASTING, filed May 13, 2022, which is a which is continuation of U.S. application Ser. No. 17/024,580 entitled METHOD AND SYSTEM FOR AMPLIFYING COLLECTIVE INTELLIGENCE USING A NETWORKED HYPER-SWARM , filed Sep. 17, 2020, now U.S. Pat. No. 11,360,656, which is a continuation-in- part of U.S. application Ser. No. 16/059,698 entitled ADAPTIVE POPULATION OPTIMI ZATION FOR AMPLIFYING THE INTELLIGENCE OF CROWDS AND SWARMS, filed Aug. 9, 2018, now U.S. Pat. No. 11,151,460, claiming the benefit of U.S. Provisional Applicat ion No. 62/544,861, entitled ADAPTIVE OUTLIER ANALYSIS FOR AMPLYFYING THE INTELL IGENCE OF CROWDS AND SWARMS, filed Aug. 13, 2017 and of U.S. Provisional Applica tion No. 62/552,968 entitled SYSTEM AND METHOD FOR OPTIMIZING THE POPULATION USE D BY CROWDS AND SWARMS FOR AMPLIFIED EMERGENT INTELLIGENCE, filed Aug. 31, 2017, all of which are incorporated in their entirety herein by reference.