Back to Basics: The Abstract Machine Bob Steagall CppCon 2020 K E W B C O M P U T I N GCopyright © 2020 Bob Steagall K E W B C O M P U T I N G Overview/Goals • Describe abstract machines in general general • Describe the C++ abstract machine specifically • Language goals that drive its design • Role in program development and execution • Important definitions and characteristics • Important components components of the abstract machine, and their relationships • Provide a useful overview of the C++ abstract machine CppCon 2020 - The Abstract Machine 2Copyright © 2020 Bob Steagall K E W B C O M P U T I

09.Services Web 19 décembre 2023 Développement web il3 Services web HE-Arc (DGR) 2022 Applications distribuées • Motivation : répartir l’exécution sur plusieurs machines – Principe : Les composants/services composants/services communiquent par le réseau – Problèmes : Hétérogénéité systèmes, langages, … – Solution : Protocole générique, abstraction différences – Exemples : RPC, RMI (java), CORBA, DCOM (MS) • Utiliser org/wiki/Architecture_orient%C3%A9e_services 1 Service web • 2 visions : – Utiliser les technos web pour développer des applis distribuées – Accès pour une application aux services offerts aux humains • Service

Solving Nim by the Use of Machine Learning Exploring How Well Nim Can be Played by a Computer Mikael Nielsen Røykenes Thesis submitted for the degree of Master in Informatics: Programming and Networks Solving Nim by the Use of Machine Learning Exploring How Well Nim Can be Played by a Computer Mikael Nielsen Røykenes c⃝ 2019 Mikael Nielsen Røykenes Solving Nim by the Use of Machine Learning http://www . . . . . . . . . 5 3.4 The Sprague-Grundy Theorem . . . . . . . . . . . . . . . . . . . 6 4 Machine Learning 6 4.1 Reinforcement learning . . . . . . . . . . . . . . . . . . . . . . . . 7 4.1.1 The

Leveraging the power of C++ for efficient machine learning on embedded devices Adrian Stanciu adrian.stanciu.pub@gmail.com CppCon, 2023 1 / 50About me ◮ I am a software engineer from Romania ◮ I have Motivation ◮ Image classification ◮ Hand gesture recognition ◮ Summary ◮ Q&A 4 / 50Motivation 5 / 50Machine Learning (ML) ◮ Subfield of Artificial Inteligence (AI) ◮ Enables computers to learn from data and consumption ◮ May have real-time performance constraints 7 / 50Machine learning on embedded devices ◮ Alternative to cloud-based machine learning ◮ Advantages: ◮ Real-time processing ◮ Low latency ◮

micrograd++: A 500 line C++ Machine Learning Library Gautam Sharma Independent Researcher gautamsharma2813@gmail.com Abstract—micrograd++ is a pure C++ machine learning li- brary inspired by Andrej Karpathy’s framework for building and training machine learning models. By leveraging the performance efficiency of C++, micro- grad++ offers a robust solution for integrating machine learning capabilities directly into Traditionally, all machine learning libraries are extremely bulky and very hard to integrate as third party dependencies. This aspect scares practitioners to adopt a C++ based machine learning library for

available ordering services, check out our conceptual documentation about ordering. Note also that these are not mutually exclusive. A Fabric network can have multiple ordering services supporting different decentralization and collaboration are powerful attributes that mirror the way businesses exchange goods and services in the real world. In addition to being decentralized and collaborative, the information recorded businesses and regulated industries that exchange assets on a common network. Security & Membership Services — Permissioned membership provides a trusted blockchain network, where participants know that all

available ordering services, check out our conceptual documentation about ordering. Note also that these are not mutually exclusive. A Fabric network can have multiple ordering services supporting different decentralization and collaboration are powerful attributes that mirror the way businesses exchange goods and services in the real world. In addition to being decentralized and collaborative, the information recorded businesses and regulated industries that exchange assets on a common network. Security & Membership Services — Permissioned membership provides a trusted blockchain network, where participants know that all

Introduction ii. The Root Directory iii. The App Directory iv. Namespacing Your Application 6. Services i. Authentication i. Introduction ii. Authenticating Users iii. Retrieving The Authenticated The authentication views may be accessed on the auth/login and auth/register routes. The App\Services\Auth\Registrar service is responsible for user validation and creation. You may now define events and add this line to the 'providers' array: Global IoC Bindings Views Blade Tag Changes Translation Files Public Directory Tests Misc. Files Form & HTML Helpers 'Illuminate\Html\HtmlServiceProvider'

available ordering services, check out our conceptual documentation about ordering. Note also that these are not mutually exclusive. A Fabric network can have multiple ordering services supporting different decentralization and collaboration are powerful attributes that mirror the way businesses exchange goods and services in the real world. 15 hyperledger-fabricdocs Documentation, Release master In addition to being businesses and regulated industries that exchange assets on a common net- work. • Security & Membership Services — Permissioned membership provides a trusted blockchain network, where participants know that all

available ordering services, check out our conceptual documentation about ordering. Note also that these are not mutually exclusive. A Fabric network can have multiple ordering services supporting different decentralization and collaboration are powerful attributes that mirror the way businesses exchange goods and services in the real world. 15 hyperledger-fabricdocs Documentation, Release master In addition to being businesses and regulated industries that exchange assets on a common net- work. • Security & Membership Services — Permissioned membership provides a trusted blockchain network, where participants know that all