Centurion+ Patent Holders as of September 10, 2024

Amrita Mathuriya
Amrita Mathuriya

Co-founder and CTO at Stealth Startup.

Patent №: 12088297 (September 10, 2024) – Majority gate based low power ferroelectric based adder with reset mechanism.

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The adder uses majority gates where a 3-input gate provides the carry and feeds into a 5-input gate for the sum. Multiple 1-bit adders form an N-bit adder. Input signals drive non-ferroelectric capacitors, creating a majority node connected to a non-linear polar capacitor for output. A reset mechanism initializes the capacitor before addition.

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Patent №: 12087730 (September 10, 2024) –Multi-input threshold gate having stacked and folded planar capacitors with and without offset. The configuration stacks and folds capacitors around a shared common node. Capacitors are divided into layers, connected by a common electrode, and placed on both sides of the node. They can be planar, non-planar, or replaced by memory elements.

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Patent №: 12086410 (September 10, 2024) –Ferroelectric memory chiplet in a multi-dimensional packaging with I/O switch embedded in a substrate or interposer. The ferroelectric memory chiplet package has three connected dies: one with a switch, one with a processor, and one with a memory buffer using ferroelectric memory. The dies are bonded using methods like micro-bumps or copper hybrid bonding.

Sebastien Anthony Louis Lagree
Sebastien Anthony Louis Lagree

As the inventor, CEO, and founder of Lagree Fitness, Sebastien Lagree continues to push the limits of the fitness industry. His ceaseless efforts to elevate the fitness world have proven to be effective.

Patent №: 12083378 (September 10, 2024) – Exercise machine with adjustable platforms.

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An exercise machine features adjustable platforms for varying the angle of the carriage and end platforms to enable diverse exercises. It includes a movable carriage on a rail, with both the carriage and end platforms adjustable between flat and inclined positions. Some models also have a second adjustable end platform.

Suhwook Kim
Suhwook Kim

Suhwook Kim received the B.S. and M.S. degrees in electrical engineering from Seoul National University in 2008 and 2010, respectively.

He was with LG Electronics CTO. He had worked on IEEE 802 and Wi-Fi Alliance standardization for about ten years. Kim also served as the Vice-Chair of the IEEE 802.15.8 Task Group

Patent №: 12089255 (September 10, 2024) – Multi-link RTS and CTS transmissions. In a wireless LAN, a reception MLD may skip sending a CTS frame if another STA on a different link is a TXOP responder, especially when using non-simultaneous transmit and receive (NSTR) links.

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Patent №: 12089252 (September 10, 2024) – Method and apparatus for filtering PPDU in wireless communication system. This example describes a technique for filtering a PPDU in a WLAN system. An STA receives an NGV PPDU with two control fields. It filters the PPDU using the second control field and defers channel access based on the first control field.

Tao Xian
Tao Xian

Senior Engineering Fellow at Honeywell Productivity Solutions and Services.

Patent №: 12089311 (September 10, 2024) – Apparatuses and methodologies for flicker control.

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Embodiments control flicker in multi-sensor setups by using the broadest illuminator to reduce activation changes. An example involves activating the broadest illuminator, selecting a sensor, and activating its corresponding light source.

 Tarek A El Dokor
Tarek A El Dokor

Tarek El Dokor is the Founder and CEO of EDGE3 Technologies, pioneering GPU-accelerated AI in Vision Analytics since 2007. He led the CES 2018 award-winning EDGE3 Ambient Sensing Node for vehicle safety.

Mr. Dokor was previously a professor and won the 2007/2008 Honda R&D Researcher of the Year Award. Currently, he focuses on AI-powered driver analytics with EDGE3 Trifecta.

An accomplished athlete, Tarek is a national swimming champion and All-American USMS swimmer.

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Patent №: 12087044 (September 10, 2024) – Method and apparatus for employing specialist belief propagation networks. Processing image data involves using a main network to classify features, a monitor network to detect confusing classifications, and a specialist network to handle those confusing classifications.

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