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    Researchers Submit Patent Application, 'Digital Finger', for Approval (USPTO 202 40131726)

    149-152页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - From Washington, D.C., NewsRx journali sts report that a patent application by the inventors COTRONEO, Francesco (Virle Piemonte, IT); FAGNANI, Lorenzo (Arluno, IT), filed on October 23, 2022, was ma de available online on April 25, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: “A resistive touch screen may be constructed of layers of f lexible plastic and glass coated with conductive material. When a user applies p ressure to the screen, resistance between the layers changes. This can be used t o identify where the user pressed. Instead of a difference in resistance, a capa citive touch screen uses a conductive touch of a human finger (or a specialized device) as input. When a capacitive touch screen is touched by the user, a small electrical charge is drawn to the point of contact. This allows the display to detect where it has received an input. The result is a display that can detect l ighter touches and with greater accuracy than a resistive touchscreen.”

    'Robotic System For The Cyclic Preparation Of A Food Product' in Patent Applicat ion Approval Process (USPTO 20240130570)

    152-158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 inventor L ERNER, Igor Sergeevich (Yaroslavl, RU), filed on December 3, 2021, was made avai lable online on April 25, 2024, according to news reporting originating from Was hington, 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: “WO18165105 (IPC A23L 5/10, published on Sep. 13 , 2018; hereinafter-[1]) discloses an auto matic kitchen system which is implemented in the form of a manipulative assistan t robot.

    Patent Application Titled 'System and Method for Selectively Charging Batteries for Local Use Vehicles' Published Online (USPTO 20240131956)

    158-162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 Walker, Michael (Greenville, SC, US); Ward, John (Greenville, SC, US), fil ed on September 20, 2023, was made available online on April 25, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “Local use vehicles such as forklifts, golf carts, shuttles, a nd others are in use in many locations, such as factories, warehouses, golf cour ses, parks, campuses, etc. Conventionally, such vehicles were powered by a combu stible fuel such as gasoline, diesel, liquid propane, compressed natural gas, et c., although use of electric (battery-powered) vehicles has become more common i n recent years. Typically, to charge batteries for such electric vehicles, the u ser drives the vehicle to a charging location where a power cord or other connec tor is available to connect the vehicle’s battery to a source of power. Once con nected, the power source recharges the battery, usually over a period of time me asured in hours (e.g., 4-8 hours for a conventional forklift, golf cart, or auto mobile). After charging is complete, the vehicle can be driven away for further use. If the vehicle is a robotic shuttle such as an Automatic Guided Vehicle (AG V) in a so-called Dark Warehouse or other location, the vehicle’s sensors and co ntrols work in concert with the system’s sensors and controls to drive the vehic le on its working route and to and from the charging location.

    The Scale of Artificial Intelligence Literacy for all (SAIL4ALL): A Tool for Ass essing Knowledge on Artificial Intelligence in All Adult Populations and Setting s

    163-163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 based on a preprint abstract, our journalists obtained the following quote sourced from os f.io: “This study provides evidence of the psychometric quality of a new artificial in telligence (AI) literacy scale for comprehensive assessment of the concept acros s adult populations, regardless of the setting in which it is applied: the SAIL4 ALL. It contains 56 items distributed across four themes [(1) What is AI? (a: Recognizing AI, Understanding Intelligence and Interdisciplinar ity; b: General vs. Narrow); (2) What can AI do?; (3) How does AI work?; and (4) How should AI be used?], which can be used in combination or independently. Moreover, the scale is validated in two different response forma ts (true/false and 5-point Likert scale), each of which is applied depending on the context.