embedded system
PulseAugur coverage of embedded system — every cluster mentioning embedded system across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
-
Quest Global uses AI and software for digital engineering innovation
Quest Global is leveraging AI, software, and cloud technologies to drive innovation in digital engineering. The company aims to transform complex challenges into efficient solutions. Quest Global has been recognized for…
-
Quest Global drives digital transformation with AI and engineering focus
Quest Global is enabling digital transformation through a combination of software, embedded systems, automation, and AI expertise. The company emphasizes that true digital transformation begins with robust engineering a…
-
Programmer traces 35-year journey from Logo to AI-assisted coding
The author reflects on their decades-long programming journey, starting with Logo and BASIC in childhood, progressing through C and C# in high school and college, and delving into embedded systems and hardware interacti…
-
Experts Discuss EdgeAI Deployment on Embedded Systems
An expert panel convened for a Digi-Key "Let's Talk Technical" video to discuss the practicalities of deploying EdgeAI models onto embedded systems. The discussion aimed to clarify the current processes and challenges i…
-
New LMV-Net model improves breast cancer risk prediction using longitudinal mammography data
Researchers have developed LMV-Net, a novel deep learning model for predicting breast cancer risk using longitudinal mammography data. This model jointly analyzes complementary CC and MLO views within an explicitly alig…
-
AI improves mammography calcification classification across datasets
Researchers have developed a new framework to improve the accuracy of AI models in classifying breast calcifications from mammography images across different datasets and equipment. The system utilizes unsupervised doma…
-
Agentic AI to Develop Embedded Systems via Model-Based Design
Agentic AI systems can be utilized to develop embedded systems through model-based design methodologies. This approach leverages AI agents to streamline the development process, potentially enhancing efficiency and capa…
-
AI integration challenges autonomous systems' safety, reliability, and certification
A new paper discusses the challenges of ensuring dependability in autonomous systems that integrate AI and ML components. Traditional methods for safety, security, and reliability are insufficient due to the unpredictab…