➀ Empa researchers developed machine learning (ML) algorithms to optimize laser-based metal processing, such as 3D printing (Powder Bed Fusion) and welding, reducing costly preliminary trials by two-thirds through real-time optical data analysis;

➁ The ML system uses FPGA chips for precise, real-time control of laser parameters during welding, addressing material defects and variability to improve consistency;

➂ This approach enhances accessibility for non-experts, potentially enabling broader industrial adoption of advanced laser manufacturing techniques.

➀ Mach42的发现平台利用机器学习创建一个代理模型，以实现更快的电路设计探索，而无需进行完整的SPICE模拟。

➁ 平台的目标是达到90%的准确率，允许快速迭代，同时保留在最终确认时进行完整准确性的选项。

➂ Mach42正在与Cadence合作开发Spectre，并计划开发Verilog-A模型，这可能会显著增强模拟-数字设计验证。

➀ Aggressive testing in chip manufacturing often leads to the discarding of marginally functional chips, causing waste.

➁ Traditional testing methods like PAT have limitations in detecting subtle defects.

➂ proteanTecs' outlier detection solution uses machine learning to enhance chip reliability and performance.

➀ The book, 'Statistical Machine Learning for Engineering with Applications,' is published by Prof. Dr. Anita Schöbel and Prof. Dr. Jürgen Franke.

➁ It aims to provide an accessible introduction to Machine Learning concepts and methods.

➂ The book includes detailed case studies from various industrial projects, focusing on practical applications and interpretation of Machine Learning methods.

➀ The book 'Statistical Machine Learning for Engineering with Applications' is published by Prof. Dr. Anita Schöbel and Prof. Dr. Jürgen Franke, providing an accessible introduction to the concepts and methods of machine learning.

➁ The book aims to familiarize readers with basic topics like classification trees, Bayesian learning, neural networks, and deep learning, emphasizing practical applications and interpretation over mathematical details.

➂ It includes several detailed case studies based on real industrial projects, covering a wide range of technical applications from vehicle manufacturing to process and material technology, and process optimization through image analysis.

➀ The reliability of AI-based image recognition is ensured through a smart validation environment, even under adverse conditions such as strong vibrations.

➁ Components and sub-systems can be efficiently characterized under various mechanical boundary conditions, for example, to easily generate AI training data.

➂ The transfer of developed technologies into the economy is demonstrated through various development steps along the Technology Readiness Levels (TRL).

➀ A research team in Saarland, Germany is developing miniaturized pumps and valves using dielectric elastomeric silicone films, which are lightweight, compact, and energy-efficient.

➁ These devices operate without compressed air, motors, or lubricants and are suitable for cleanroom environments.

➂ The technology is scalable and can be used in various applications, including automotive, medical, pharmaceutical, and industrial processing.

➀ Texas Instruments (TI) 发布了一款基于单芯片60GHz汽车雷达传感器AWRL6432的紧凑型低功耗参考设计，适用于车内应用。

➁ 这款高性能雷达系统可以实现儿童存在检测、入侵者检测、占用感应、驾驶员生命体征监测和安全带提醒等功能。

➂ 该设计具有小尺寸和优化的射频性能，为下一代车内传感应用提供高效解决方案。设计包括两个发射天线和三个接收天线，支持多种通信接口。

➀ Researchers at the Fritz-Haber Institute have developed the Automatic Process Explorer (APE), an approach that enhances our understanding of atomic and molecular processes.

➁ APE reveals unexpected complexities in the oxidation of palladium (Pd) surfaces, providing new insights into catalyst behavior.

➂ By using machine-learned interatomic potentials (MLIPs), APE predicts atomic interactions and improves the accuracy of simulations.

➀ An innovative full-body scanner linked to an AI diagnostic platform is being used to improve early detection of melanoma;

➁ The scanner, developed by project partner Bosch, scans the entire body in six minutes and uses cognitive AI to assess risks;

➂ Explainable AI (XAI) technologies are being incorporated to ensure the reliability and safety of the AI system.

The Fraunhofer-Gesellschaft has developed a new KI-Diagnosis Platform that improves the early detection of skin cancer using a whole-body scanner. The scanner, connected to the KI platform, analyzes the entire body in six minutes and provides a risk assessment for any suspicious skin changes. The project, iToBoS, involves 20 partners and is aimed at enhancing and speeding up the existing method of skin examination. The scanner uses cognitive AI to assist in the examination and provides a personalized risk evaluation for each mole. The platform integrates health data from various sources, and the project is supported by the EU with 12.1 million euros.

➀ Researchers at the University of Illinois Urbana-Champaign have developed a machine-learning framework called HUMANUP that enables humanoid robots to stand up autonomously after falling.

➁ The framework uses reinforcement learning (RL) to identify effective limb trajectories and refine initial motions into smooth and controlled movements.

➂ Tests in simulations and real-world settings using the Unitree G1 humanoid robot showed promising results, indicating the robot can autonomously recover from falls regardless of its position or the surface beneath it.

➀ The Ernst-Abbe-Hochschule Jena (EAH Jena) is establishing an endowed professorship for 'Explainable Artificial Intelligence (XAI)';

➁ The professorship aims to improve the transparency and comprehensibility of decisions made by AI systems through innovative methods and tools;

➂ The professorship will focus on interdisciplinary research and education, involving various fields such as healthcare, social services, and business administration.

➀ This tutorial demonstrates how to implement AI-powered gesture recognition using the Edge Impulse platform and the IndusBoard Coin microcontroller.

➁ It includes a step-by-step guide on setting up the development environment, collecting sensor data, training a machine learning model, and deploying it on the IndusBoard Coin.

➂ The project aims to enable AI tasks on compact devices with limited resources, such as smartwatches and phones.

➀ Qualcomm Technologies has unveiled the Snapdragon X, a new SoC designed for AI-enabled laptops and compact desktops, priced starting at $600.

➁ The Snapdragon X boasts advanced CPU and GPU capabilities, along with dedicated AI acceleration, aiming to make powerful computing more accessible.

➂ It is expected to power Windows 11 laptops and mini desktops from manufacturers like Acer, Asus, Dell Technologies, HP, and Lenovo.

➀ Researchers at Karlsruhe Institute of Technology (KIT) have demonstrated that machine learning (ML) can significantly improve the manufacturing process monitoring of perovskite solar cells, a promising photovoltaic technology.

➁ Using deep learning techniques, they were able to predict material properties and efficiencies of solar cells with high precision beyond laboratory scale.

➂ The study shows that ML can help identify process errors during cell production, leading to improved quality control without additional testing methods.