OverviewAI is used today in an ever-wider range of applications. Edge AI deploys AI algorithms and models directly on devices such as Internet of Things (IoT) devices and embedded industrial and automotive systems. This approach enables real-time processing and analysis of data at the source. In the Edge AI domain, STMicroelectronics provides tools and software that help embedded developers create, evaluate, and deploy machine learning algorithms on STM32 microcontrollers and microprocessors and smart sensors in a fast and cost-effective way. This internship is positioned in the context of an active R&D project which aims to enrich the set of web-based tools provided by ST around its ecosystem of smart components (sensors and microcontrollers) designed for artificial intelligence applications. FP-SNS-DATALOG2 is firmware package for ST evaluation boards to read and save sensor data acquired from any combination of sensors and microphones configured up to the maximum sampling rate. It is one of the firmware packages offered to provide support for creating custom dataset for next development phase of AI model. In combination with the firmware application source code, it provides a set of ready-to-use Python scripts and libraries need to interface connected board running the firmware application.WebAssembly will be the technology used to experiment the porting phase. WebAssembly (abbreviated Wasm) is a binary instruction format for a stack-based virtual machine. Wasm is designed as a portable compilation target for programming languages, enabling deployment on the web for client and server applications.ObjectiveObjective of this internship is evaluating how existing Python modules can be ported and executed in the browser sandbox, by evaluating the effort need to adapt them to the new execution stack. After this preliminary step, then the Python modules have to be wrapped in a library ready to be used in the existing web browser applications, and tested with real embedded device connected to the local PC, like SensorTile.BOX Pro.ResponsibilitiesEvaluate porting of existing Python modules to the browser sandbox and assess the effort to adapt them to a new execution stack (WebAssembly).Wrap ported Python modules into a library suitable for use in existing web browser applications.Test the wrapped library with real embedded devices connected to the local PC (e.g., SensorTile.BOX Pro).ProfileExperience with software development and OOP paradigmKnowledge of Python languageExperience with Web programming (browser side)Experience with C++ and DLLProblem solving, proactive and smart thinkingTechnical English writing and readingPosition locationEurope, Italy, LecceCandidate criteriaEducation level required: 4 - Bachelor degreeExperience level required: Less than 2 yearsLanguages: English (2- Business fluent)Request dateDesired start date: 01/02/2024
#J-18808-Ljbffr