➀ AI accelerates semiconductor R&D through automated analog/digital design flows, reducing analog design time from months to days;
➁ STMicroelectronics employs AI for eco-design, optimizing energy use in chips and enabling green technologies like smart grids and solar farms;
➂ Federated learning proposed for academic prototyping, allowing collaborative AI model training while protecting sensitive chip design/IP data.
The Fraunhofer Institute for Photonics Microsystems (IPMS) is involved in an interdisciplinary research project called 'InSeKT' (Development of Intelligent Sensor Edge Technologies). This project, carried out by the Technical University of Wildau, the Leibniz Institute for Innovative Microelectronics (IHP), and the Fraunhofer IPMS, aims to integrate artificial intelligence (AI) more effectively at the 'edges' of IT networks. The project focuses on miniaturized sensor structures and the integration of electronic components, with the goal of enabling complex calculations directly at the data source, such as at the sensor itself.
Current data processing with AI often occurs through central cloud computing solutions, leading to data transfer over large distances and potential data leaks. The project addresses this by promoting decentralized data processing for improved data security and real-time system capabilities.
The project covers various areas, including gas analysis using ion mobility spectrometers (IMS), data-supported evaluation of photodetectors for the near-infrared wavelength range, and the adapted use of capacitive microelectromechanical ultrasonic transducers (CMUTs) for improved imaging. The generated data will be used to train Edge-KI systems for fast and accurate data processing.
➀ Silex Technology has launched the AMC Edge System-on-Module (SoM), EP-200Q, which is powered by the Qualcomm Dragonwing™ QCS6490 processor and offers high-performance edge AI capabilities in a very small form factor.
➁ The EP-200Q integrates Wi-Fi 7 drivers and is optimized for industrial and healthcare IoT devices requiring power efficiency and rapid deployment.
➂ It features an octa-core CPU, Hexagon DSP, and a 12-TOPS AI engine, along with long-term availability through the Qualcomm Product Longevity Program.
➀ MediaTek has unveiled two new IoT platforms, the Genio 720 and Genio 520, aimed at bringing advanced generative AI capabilities to edge devices.
➁ These platforms are designed for smart home, retail, industrial, and commercial applications, featuring high performance, advanced multimedia, and energy efficiency.
➂ Built on a 6nm process, they include an octa-core CPU with AI acceleration and support for up to 16GB LPDDR5 memory, enabling real-time AI tasks like natural language processing and computer vision.
➀ Quectel Wireless Solutions introduces the SG882G, a high-performance Android/Linux smart module designed for industrial and consumer applications.
➁ The SG882G is equipped with a Qualcomm QCS8550 IoT chipset featuring a Kryo CPU, Adreno 740 GPU, and a 48 TOPS neural processing unit.
➂ It supports a wide range of interfaces and applications including video conferencing, live streaming, gaming, and AR/VR.
➀ Percepio, the Swedish maker of Tracealyzer, has released Percepio Detect, a tool to enhance the observability of embedded code and Edge devices during system testing.
➁ Optimized for RTOS-based systems testing, Percepio Detect supports embedded software developers with testing and debugging of embedded code.
➂ The tool offers monitoring, a shared dashboard, and debug data access for team collaboration, capturing diagnostic snapshots and supporting analysis of system data during execution.
➀ This article provides a tutorial on how to create and run machine learning models on microcontrollers (MCUs) at the edge.
➁ It covers the process of collecting datasets and forwarding sensor data from MCUs to Edge Impulse.
➂ The article also teaches how to design an AI-based gesture detection and prediction system.
➀ Axelera AI, founded in 2021, aims to provide scalable edge AI hardware and software solutions.
➁ The company has raised USD 120 million and has a world-class team of over 190 employees.
➂ Axelera AI's Metis platform offers high performance with low power consumption, targeting applications like computer vision, automotive, and healthcare.
➀ Generative AI has evolved with the rise of transformer models, improving accuracy and enabling automated creation.
➁ Running Gen AI on the edge addresses challenges like latency, privacy, and limited connectivity.
➂ Synopsys offers specialized NPUs for efficient edge-based Gen AI processing.
➀ Sri Lakshmi Simhadri discusses MosChip's achievements in 2024;
➁ Challenges faced in adapting to market changes and hiring skilled professionals;
➂ Insights on the biggest growth area for 2025 in the semiconductor industry.
