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1. 发明申请

US20160148091A1 THERMODYNAMIC RAM TECHNOLOGY STACK 审中-公开
标题翻译：热敏RAM技术堆栈
公开(公告)号：US20160148091A1
公开(公告)日：2016-05-26
申请号：US14722626
申请日：2015-05-27
申请人： KnowmTech, LLC
发明人： Alex Nugent , Timothy Molter
IPC分类号： G06N3/063 , G06N3/08
CPC分类号： G06N3/08 , G06N3/049 , G06N3/063 , G11C11/54
摘要： A thermodynamic RAM technology stack, two or more memristors or pairs of memristors comprising AHaH (Anti-Hebbian and Hebbian) computing components, and one or more AHaH nodes composed of such memristor pairs that form at least a portion of the thermodynamic RAM technology stack. The levels of the thermodynamic-RAM technology stack include the memristor, a Knowm synapse, an AHaH node, a kT-RAM, kT-RAM instruction set, a sparse spike encoding, a kT-RAM emulator, and a SENSE Server.
摘要翻译：热力学RAM技术栈，包含AHaH（反Hebbian和Hebbian）计算组件的两个或多个忆阻器或忆阻器对以及由形成热力学RAM技术堆叠的至少一部分的这种忆阻器对组成的一个或多个AHaH节点。热力学RAM技术堆栈的级别包括忆阻器，知识突触，AHaH节点，kT-RAM，kT-RAM指令集，稀疏尖峰编码，kT-RAM仿真器和SENSE服务器。

2. 发明申请

US20150347899A1 CORTICAL PROCESSING WITH THERMODYNAMIC RAM 有权
标题翻译：具有热力学RAM的光刻处理
公开(公告)号：US20150347899A1
公开(公告)日：2015-12-03
申请号：US14704394
申请日：2015-05-05
申请人： KnowmTech, LLC
发明人： Alex Nugent , Tim Molter
IPC分类号： G06N3/08 , G06N3/063
CPC分类号： G06N3/063
摘要： A thermodynamic RAM apparatus includes a physical substrate of addressable adaptive synapses that are temporarily partitioned to emulate adaptive neurons of arbitrary sizes, wherein the physical substrate mates electronically with a digital computing platform for high-throughput and low-power neuromorphic adaptive learning applications. The physical substrate addressable adaptive synapses can be configured as a part of a memristor-based physical neural processing unit.
摘要翻译：热力学RAM装置包括可寻址的自适应突触的物理基板，其临时分割以模拟任意大小的自适应神经元，其中物理基板与用于高通量和低功率神经形态自适应学习应用的数字计算平台电子配合。物理基板可寻址自适应突触可以被配置为基于忆阻器的物理神经处理单元的一部分。

3. 发明申请

US20150286926A1 ANTI-HEBBIAN AND HEBBIAN COMPUTING WITH THERMODYNAMIC RAM 审中-公开
标题翻译：抗HEBBAN和HEBBIAN计算与热力学RAM
公开(公告)号：US20150286926A1
公开(公告)日：2015-10-08
申请号：US14674428
申请日：2015-03-31
申请人： KnowmTech, LLC
发明人： Alex Nugent
IPC分类号： G06N3/08 , G06N3/04
CPC分类号： G06N3/049 , G06N3/063 , G06N99/005
摘要： A thermodynamic RAM circuit composed of a group of AHaH (Anti-Hebbian and Hebbian) computing circuits that form one or more kT-RAM circuits. The AHaH computing circuits can be configured as an AHaH computing stack. The kTRAM circuit(s) can include one or core kT-Cores, each partitioned into AHaH nodes of any size via time multiplexing. The kT-Core couples readout electrodes together to form a larger combined kT-Core. AHaH Computing is the theoretical space encompassing the capabilities of AHaH nodes. At this level of development, solutions have been found for problems as diverse as classification, prediction, anomaly detection, clustering, feature learning, actuation, combinatorial optimization, and universal logic.
摘要翻译：由一组形成一个或多个kT-RAM电路的AHaH（Anti-Hebbian和Hebbian）计算电路组成的热力学RAM电路。 AHaH计算电路可以配置为AHaH计算堆栈。 kTRAM电路可以包括一个或核心kT核心，每个核心kT核心经由时间复用被划分成任何大小的AHaH节点。 kT-Core将读出电极耦合在一起形成较大的组合kT-Core。 AHaH计算是包含AHaH节点能力的理论空间。在这种发展水平上，已经发现了分类，预测，异常检测，聚类，特征学习，启动，组合优化和通用逻辑等问题的解决方案。

4. 发明授权

US09978015B2 Cortical processing with thermodynamic RAM 有权
公开(公告)号：US09978015B2
公开(公告)日：2018-05-22
申请号：US14704394
申请日：2015-05-05
申请人： KnowmTech, LLC
发明人： Alex Nugent , Tim Molter
IPC分类号： G06F15/18 , G06N3/08 , G06N3/063
CPC分类号： G06N3/063
摘要： A thermodynamic RAM apparatus includes a physical substrate of addressable adaptive synapses that are temporarily partitioned to emulate adaptive neurons of arbitrary sizes, wherein the physical substrate mates electronically with a digital computing platform for high-throughput and low-power neuromorphic adaptive learning applications. The physical substrate addressable adaptive synapses can be configured as a part of a memristor-based physical neural processing unit.

5. 发明授权

US09679241B2 Thermodynamic random access memory for neuromorphic computing utilizing AHaH (anti-hebbian and hebbian) and memristor components 有权
公开(公告)号：US09679241B2
公开(公告)日：2017-06-13
申请号：US14460668
申请日：2014-08-15
申请人： KnowmTech, LLC
发明人： Alex Nugent , Timothy Molter
IPC分类号： G06F17/00 , G06N5/00 , G06N3/063
CPC分类号： G06N3/063
摘要： A thermodynamic random access memory includes one or more AHaH (Anti-Hebbian and Hebbian) node wherein read out of data is accomplished via a common summing electrode through memristive components and wherein multiple input cells are simultaneously active. A ktRAM architecture comprising a memory wherein each input synapse or “bit” of the memory interacts on or with a common electrode through a common “dendritic” electrode, and wherein each input can be individually driven. Each input constitutes a memory cell driving a common electrode.

6. 发明申请

US20160004959A1 MEMRISTOR APPARATUS 有权
标题翻译：仪器设备
公开(公告)号：US20160004959A1
公开(公告)日：2016-01-07
申请号：US14794326
申请日：2015-07-08
申请人： KnowmTech, LLC
发明人： Alex Nugent
IPC分类号： G06N3/063 , G06N3/08
CPC分类号： G06N3/063 , G06N3/049 , G06N3/08
摘要： A memristor apparatus includes meta-stable switching elements and an AHAH (Anti-Hebbian and Hebbian) feedback mechanism that operates the meta-stable switching elements.
摘要翻译：忆阻器装置包括元稳定开关元件和操作元稳定开关元件的AHAH（反Hebbian和Hebbian）反馈机制。

7. 发明授权

US10311357B2 Thermodynamic-RAM technology stack 有权
公开(公告)号：US10311357B2
公开(公告)日：2019-06-04
申请号：US14722626
申请日：2015-05-27
申请人： KnowmTech, LLC
发明人： Alex Nugent , Timothy Molter
IPC分类号： G06N3/08 , G06N3/04 , G06N3/06 , G06N3/063 , G06N20/00 , G11C11/54
摘要： A thermodynamic RAM technology stack, two or more memristors or pairs of memristors comprising AHaH (Anti-Hebbian and Hebbian) computing components, and one or more AHaH nodes composed of such memristor pairs that form at least a portion of the thermodynamic RAM technology stack. The levels of the thermodynamic-RAM technology stack include the memristor, a Knowm synapse, an AHaH node, a kT-RAM, kT-RAM instruction set, a sparse spike encoding, a kT-RAM emulator, and a SENSE Server.

8. 发明授权

US09269043B2 Memristive neural processor utilizing anti-hebbian and hebbian technology 有权
标题翻译：忆阻神经处理器利用反兴奋剂和hebbian技术
公开(公告)号：US09269043B2
公开(公告)日：2016-02-23
申请号：US13908410
申请日：2013-06-03
申请人： KnowmTech, LLC
发明人： Alex Nugent
IPC分类号： G06N3/08 , G06N3/04
CPC分类号： G06N3/049
摘要： An AHaH (Anti-Hebbian and Hebbian) apparatus for use in electronic circuits. Such an AHaH apparatus can include one or more meta-stable switches, and one or more differential pairs of output electrodes, wherein each electrode among each differential pair of output electrodes can include one or more input lines coupled thereto via one or more of the meta-stable switch.
摘要翻译：用于电子电路的AHaH（Anti-Hebbian和Hebbian）装置。这样的AHaH装置可以包括一个或多个元稳定开关和一个或多个输出电极的差分对，其中每个差分输出电极对之间的每个电极可以包括通过一个或多个元件连接到其上的一个或多个输入线稳定开关

9. 发明申请

US20150074029A1 ktRAM DESIGN 有权
标题翻译： ktRAM设计
公开(公告)号：US20150074029A1
公开(公告)日：2015-03-12
申请号：US14460668
申请日：2014-08-15
申请人： KnowmTech, LLC
发明人： Alex Nugent , Timothy Molter
IPC分类号： G06N3/08
CPC分类号： G06N3/063
摘要： A ktRAM architecture comprising a memory wherein each input synapse or “bit” of the memory interacts on or with a common electrode through a common “dendritic” electrode, and wherein each input can be individually driven. Each input constitutes a memory cell driving a common electrode. One or more AHaH nodes can be provided wherein read out of data is accomplished via a common summing electrode through memristive components and wherein multiple input cells are simultaneously active.
摘要翻译：包括存储器的ktRAM架构，其中存储器的每个输入突触或“位”通过公共“树枝状”电极在公共电极上或与公共电极相互作用，并且其中每个输入可被单独驱动。每个输入构成驱动公共电极的存储单元。可以提供一个或多个AHaH节点，其中通过共振求和电极通过忆阻元件实现数据读出，并且其中多个输入单元同时有效。

10. 发明申请

US20160260028A1 METHODS AND SYSTEMS FOR FEATURE EXTRACTION OF SURFACE MANIFOLDS 审中-公开
公开(公告)号：US20160260028A1
公开(公告)日：2016-09-08
申请号：US15057184
申请日：2016-03-01
申请人： KnowmTech, LLC
发明人： Alex Nugent
IPC分类号： G06N99/00 , G06N5/04
CPC分类号： G06N99/005 , G06K9/6232 , G06N3/049 , G06N3/063 , G06N3/08 , G06N5/02 , G06N5/047
摘要： Methods and systems for feature extraction of LIDAR surface manifolds. LIDAR point data with respect to one or more LIDAR surface manifolds can be generated. An AHAH-based feature extraction operation can be automatically performed on the point data for compression and processing thereof. The results of the AHAH-based feature extraction operation can be output as a compressed binary label representative of the at least one surface manifold rather than the point data to afford a high-degree of compression for transmission or further processing thereof. Additionally, one or more voxels of a LIDAR point cloud composed of the point data can be scanned in order to recover the compressed binary label, which represents prototypical surface patches with respect to the LIDAR surface manifold(s).

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