Resumes
Resumes
Anatoli Gorchetchnikov
View pageLocation:
United States
Anatoli Gorchetchnikov Phones & Addresses
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Newton, MA
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41 Alma Ave, Belmont, MA 02478 (617) 489-2021
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43 Alma Ave, Belmont, MA 02478
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69 Bay State Rd, Boston, MA 02215 (617) 262-0731
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1315 Commonwealth Ave, Allston, MA 02134
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Brookline, MA
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Murfreesboro, TN
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Nashville, TN
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43 Alma Ave, Belmont, MA 02478 (617) 489-2021
Education
Degree:
Associate degree or higher
Interests
career opportunities, consulting offers,...
Publications
Us Patents
Graphic Processor Based Accelerator System And Method
View pageUS Patent:
20080117220, May 22, 2008
Filed:
Sep 24, 2007
Appl. No.:
11/860254
Inventors:
Anatoli Gorchetchnikov - Belmont MA, US
Heather Marie Ames - South Boston MA, US
Massimiliano Versace - South Boston MA, US
Fabrizio Santini - Jamaica Plain MA, US
Heather Marie Ames - South Boston MA, US
Massimiliano Versace - South Boston MA, US
Fabrizio Santini - Jamaica Plain MA, US
Assignee:
Neurala LLC - Boston MA
International Classification:
G06T 1/20
G06F 15/76
G06F 15/76
US Classification:
345503, 345522, 345536
Abstract:
An accelerator system is implemented on an expansion card comprising a printed circuit board having (a) one or more graphics processing units (GPU), (b) two or more associated memory banks (logically or physically partitioned), (c) a specialized controller, and (d) a local bus providing signal coupling compatible with the PCI industry standards (this includes but is not limited to PCI-Express, PCI-X, USB 2.0, or functionally similar technologies). The controller handles most of the primitive operations needed to set up and control GPU computation. As a result, the computer's central processing unit (CPU) is freed from this function and is dedicated to other tasks. In this case a few controls (simulation start and stop signals from the CPU and the simulation completion signal back to CPU), GPU programs and input/output data are the information exchanged between CPU and the expansion card. Moreover, since on every time step of the simulation the results from the previous time step are used but not changed, the results are preferably transferred back to CPU in parallel with the computation.
Apparatuses, Methods And Systems For Defining Hardware-Agnostic Brains For Autonomous Robots
View pageUS Patent:
20170076194, Mar 16, 2017
Filed:
Nov 4, 2016
Appl. No.:
15/343673
Inventors:
- Boston MA, US
Roger Matus - Waltham MA, US
Alexandrea Defreitas - Warwick RI, US
John Michael Amadeo - Mont Vernon NH, US
Tim Seemann - Brookline MA, US
Ethan Marsh - Allston MA, US
Heather Marie Ames - Boston MA, US
Anatoli GORCHETCHNIKOV - Newton MA, US
Roger Matus - Waltham MA, US
Alexandrea Defreitas - Warwick RI, US
John Michael Amadeo - Mont Vernon NH, US
Tim Seemann - Brookline MA, US
Ethan Marsh - Allston MA, US
Heather Marie Ames - Boston MA, US
Anatoli GORCHETCHNIKOV - Newton MA, US
International Classification:
G06N 3/00
G06N 3/08
G06N 3/04
G06N 3/08
G06N 3/04
Abstract:
Conventionally, robots are typically either programmed to complete tasks using a programming language (either text or graphical), shown what to do for repetitive tasks, or operated remotely by a user. The present technology replaces or augments conventional robot programming and control by enabling a user to define a hardware-agnostic brain that uses Artificial Intelligence (AI) systems, machine vision systems, and neural networks to control a robot based on sensory input acquired by the robot's sensors. The interface for defining the brain allows the user to create behaviors from combinations of sensor stimuli and robot actions, or responses, and to group these behaviors to form brains. An Application Program Interface (API) underneath the interface translates the behaviors' inputs and outputs into API calls and commands specific to particular robots. This allows the user to port brains among different types of robot to robot without knowing specifics of the robot commands.