AI Assets. For purposes of this agreement "AI Assets" shall mean, (without duplication) any and all assets, properties and rights (including the goodwill associated therewith), wherever located, that are being used exclusively or primarily in the business of the ACCPAC iBU, including all accounting and other books, records and information; all computer, equipment and other tangible personal property; all inventories, work-in-process and finished goods; all the outstanding capital stock of DistribuPro, Inc.; all license agreements, purchase orders and other contracts, agreements and commitments; all written technical information, data, specifications and reseat and development information, all domestic and foreign copyrights, trade names, trademarks, service marks and registrations and applications therefor; all trade secrets, inventions and other proprietary information, all rights under contracts and agreements and all claims or rights arising from the ownership of any ACCPAC asset; and cash or cash equivalents, bank accounts and other deposit arrangements. "AI Assets" shall not include any fee interest in real property, or any asset, property or right that is not used exclusively or primarily in the business of the ACCPAC iBU.
AI Assets. Subject to and upon the terms and conditions of this Agreement and excluding the assets retained by AI as set forth in Section 1.1(b) herein, AI shall sell, transfer, convey, assign and deliver, to Xxxxxx, and Xxxxxx shall purchase from AI, free and clear of all liens and encumbrances (except for Permitted Liens as defined in Section 2.16), all of the properties, rights and assets, of every kind and nature, real, personal or mixed, tangible or intangible, wherever located, which are owned, leased, licensed or used by AI in the conduct of the Business and which exist on the “Closing Date” (as defined in Section 1.4 below) (collectively, the "AI Assets"), including, without limitation, the following assets:
AI Assets. Subject to and upon the terms and conditions of this Agreement and excluding the assets retained by Xxxxxx as set forth in Section 3.1(b) herein, at the Closing, Xxxxxx shall sell, transfer, convey, assign and deliver, to TFB, and TFB shall purchase from Xxxxxx, free and clear of all liens and encumbrances (except for Permitted Liens), all of the properties, rights and assets, of every kind and nature, real, personal or mixed, tangible or intangible, wherever located, which are owned, leased, licensed or used by Xxxxxx in the conduct of the Automotive Business and which exist on the Closing Date (collectively, the "Automotive Assets"), including, without limitation, the following assets:
AI Assets. The Company owns and possesses all right, title, and interest in and to, or has valid and enforceable licenses to use, all of the AI Assets necessary for the operation of the AI Business, and the AI Assets are not subject to any Encumbrances or claims that would result in a Material Adverse Effect.
AI Assets. Subject to and upon the terms and conditions of this Agreement and excluding the assets retained by AI as set forth in Section 1.1(b) herein, AI shall sell, transfer, convey, assign and deliver, to Hyperion, and Hyperion shall purchase from AI, all of the properties, rights and assets, of every kind and nature, real, personal or mixed, tangible or intangible, wherever located, which are owned, leased, licensed or used by AI in the conduct of the Business and which exist on the “Closing Date” (as defined in Section 1.5 below) (collectively, the "AI Assets"), including, without limitation, the following assets:
AI Assets. Bonseyes AI Asset represents an implementation of the research paper employing the deep learning deployment-centric framework called AI Asset Container. An AI Asset Container provides a set of services and standardized building components that facilitates and accelerates the development of AI systems for the resource constrained low power devices. A Bonseyes AI Asset Container provides a complete Python-based workflow for end-to-end deployment of deep Learning models to supported embedded hardware target platforms, AI Asset Container Dependency Profiles for target environments to enumerate target runtime environments on various target hardware platforms supported by Bonseyes Developer Environments (DPES), containers for deep learning providing a stable set of pre-installed software packages, and a definition of a virtualized host environment to ensure combability when executing and running Bonseyes AI Asset Containers on various host systems. A common problem in deployment to the deep edge is that when training and optimizing models in a cloud or host environment, often a model is created with a set of dependencies that does not match the target hardware platform environment. These dependency differences can create subtle and accumulative errors which make exact replication of models at deployment difficult and make debugging model performance complex and sometime impossible. Additionally specialized tools are often required to program specialized hardware circuits which may require a very specific dependency set to function correctly. To alleviate these developer “pain points”, the AI Asset container provides dependencies profiles for target environments for deep edge platforms such as Raspberry Pi, NVIDIA Jetson devices computing platforms. The dependency profile contains versioning information of common middleware and driver components so that the Bonseyes AI Asset Container can mirror the target deployment environment as closely as possible. Supported dependency profiles include: Workstation / Server / Laptop (x86_64) AMD/Intel CPU and NVIDIA GPU NVIDIA Jetson devices (aarch64) Xxxxxx Xxxxxx XXX, Xxxxxx Xxxxxx XX, Xxxxxx Xxxx Raspberry Pi (arm64v8) Raspberry Pi3, Raspberry Pi4 Supported software version management includes: Python Pytorch CMake OpenCV GCC CUDA, cuBLAS, and cuDNN LPDNN TensorRT and ONNX-TensorRT ONNX and ONNX Runtime
