➀ A humanoid robot named Uri was appointed as Chief Marketing Officer (CMO) of Series, a networking platform aiming to compete with LinkedIn;

➁ Uri, developed by Unitree, features advanced AI and robotics capabilities, including 3D LiDAR and reinforcement learning, and garnered significant public attention during its debut;

➂ Series CEO highlighted Uri's cost-effectiveness and marketing impact, emphasizing the integration of robotics and AI to redefine startup innovation.

➀ The UK Space Agency (UKSA) allocated £6.5 million to 23 international projects spanning biotech manufacturing, deep space radar, 5G satellite networks, and in-orbit 3D printing, collaborating with partners in 8 countries including the US, Japan, and Australia;

➁ Key initiatives include developing Americium-based power systems with NASA, deploying AI-driven 3D printing for space manufacturing, and advancing autonomous satellite navigation and threat detection technologies;

➂ These partnerships aim to bolster the UK's leadership in space innovation, enhance global space domain awareness, and bridge space research with Earth applications like climate-resilient agriculture and healthcare.

➀ The 11th Industrial Working Group event by Fraunhofer IDMT and Hochschule Emden/Leer focused on speech interaction and AI in manufacturing, featuring discussions on digital shopfloor management and aircraft production applications.

➁ Airbus showcased voice-based systems to optimize workflows, while Deloitte highlighted efficiency gains from speech-driven data utilization, emphasizing proactive problem-solving and resource optimization.

➂ Fraunhofer IDMT presented AI-driven speech solutions like LLMs for industrial use, alongside workshops on predictive maintenance, smart hearing protection, and acoustic process management to advance Industry 5.0.

➀ Researchers developed 'LatentCSI,' a method combining Wi-Fi CSI data with Stable Diffusion 3 AI to generate high-resolution room images by translating radio signals into latent space;

➁ The system uses pre-trained diffusion models and environmental data to 'fill in gaps' for photorealism, enabling real-time tracking of room layouts and human presence;

➂ While promising for applications like smart homes, privacy concerns arise due to potential surveillance misuse despite current lab-stage limitations.

➀ Fraunhofer IOSB introduces the concept of 'data space workshops,' aiming to assist SMEs in rapidly and securely building industrial data ecosystems aligned with initiatives like Manufacturing-X;

➀ The workshops integrate real-world production environments, standardized IT/OT infrastructure, open data platforms, and AI engineering to enable collaborative testing of use cases (e.g., predictive maintenance, CO₂ footprint tracking);

➂ The initiative leverages Fraunhofer's expertise in Industry 4.0 standards, cybersecurity, and partnerships (e.g., Catena-X, IDSA) to accelerate practical implementation of secure and scalable data spaces.

➀ The conference highlighted Germany's role as a pioneer in AI research and its efforts to balance technological innovation with ethical frameworks and regulatory compliance under the EU AI Act;

➁ Discussions focused on enhancing Europe's global competitiveness, fostering trustworthy AI ecosystems, and addressing societal impacts, including creativity and workforce development;

➂ Practical AI applications, such as sustainable brewing tools and neuromotor exoskeletons, were showcased, alongside the release of a progress report on responsible AI development.

➀ The cover story explores reducing AI's reliance on powerful GPUs through innovative alternatives and CPU optimizations;

➁ Technology and business sections highlight AI-driven career opportunities, IoT edge computing advancements, and India's GST 2.0 impact on electronics manufacturing;

➂ Features include startup innovations (AI drones, modular robotics), wearable electronics designs, and DIY projects like Raspberry Pi-based IoT systems and touch-controlled relays.

➀ Discusses technical challenges and benefits of deploying language models on IoT edge devices, including reduced latency, enhanced privacy, and bandwidth efficiency;

➁ Explores techniques like model compression, quantization, and edge-specific architectures to overcome computational and power constraints;

➂ Highlights applications in smart homes, industrial automation, healthcare, and autonomous vehicles, emphasizing real-world implementations and open-source contributions.

➀ The EPSILON project, led by Fraunhofer HHI, combines VR technologies and wearable sensors to objectively diagnose and differentiate Post-COVID symptoms like cognitive deficits and fatigue;

➁ Data from VR-based cognitive tests, smartwatches, and psychological assessments is analyzed via AI algorithms on a web-based platform to create a multimodal model for personalized treatment plans;

➂ The project aims to ease strain on healthcare systems by providing real-time diagnostic insights for clinicians and patients, with future applications in other medical conditions like Rett syndrome.

➀ The EPSILON project, coordinated by Fraunhofer HHI, employs VR technology and wearable sensors to objectively diagnose and differentiate Post-COVID symptoms like cognitive deficits and fatigue;

➁ Data from VR-based cognitive tests, physiological sensors, and digital psychological assessments are integrated into a web-based AI platform for real-time analysis and visualization, aiding personalized treatment;

➂ The developed tools aim to provide a scalable diagnostic framework, with future applications planned for rare diseases such as Rett syndrome.

➀ Schleswig-Holstein's Digitalization Minister Dirk Schrödter awarded €780,000 in funding to launch the BiT SEA-SH project, a scalable and secure AI platform for data science applications;

➁ The platform, developed by TH Lübeck, Universität zu Lübeck, Kontor Business IT GmbH, and WTSH, aims to enhance data sovereignty, reduce digital dependencies, and support SMEs in adopting AI through open-source solutions;

➂ The project (April 2025–March 2027) focuses on creating a collaborative ecosystem for academia, government, and businesses to advance big data and AI innovation in the region.

➀ Researchers from TU Ilmenau, alongside partners, won second place in the INNOspace Masters 2025 competition for developing an EEG-based system to monitor astronauts' brain activity during long space missions;

➁ The system uses lightweight, dry-electrode technology and AI to analyze mental states in real-time, aiming to prevent psychological crises in extreme environments like space or Antarctica;

➂ The innovation has dual applications, benefiting space exploration and terrestrial healthcare, including mental health monitoring for conditions like depression and burnout.

➀ Skyrocketing electricity prices near AI data centers have surged up to 267% in five years, straining household budgets in affected regions;

➁ The AI boom drives massive power consumption, with U.S. data centers projected to account for 10% of national electricity demand by 2035;

➂ Solutions like on-site gas turbines face environmental concerns, while tech firms prioritize rapid AI development over sustainability challenges.

➀ NVIDIA introduces the Rubin CPX GPU, a specialized accelerator for AI inference's context phase using cost-effective GDDR7 memory;

➁ GDDR7 reduces power and cost by 50% compared to HBM3E/HBM4, avoiding CoWoS packaging and enabling distributed AI processing;

➂ The Vera Rubin NVL144 CPX system integrates CPX GPUs with 8 ExaFLOPS performance and Dynamo orchestration for automatic workload optimization.

➀ Logitech's MX Master 4 elevates productivity with haptic feedback and an "Action Ring" for custom shortcuts, building on the success of the MX Master 3S.

➁ The mouse integrates AI-powered shortcuts (e.g., ChatGPT, Copilot) and customizable plugins, alongside improved connectivity and 70-day battery life.

➂ Despite its 150g weight being a drawback for gaming, it remains a top-tier productivity device with macOS/Windows/Linux compatibility.

➀ The GreenBotAI project, part of the German-French AI cooperation under the Aachen Treaty, focuses on enhancing robotics' energy efficiency by over 25% through AI-driven path planning and real-time control;

➁ It developed modular machine-learning models and 2D/3D tracking systems using reduced-data AI algorithms, compatible with various robotic platforms;

➂ Led by Fraunhofer IWU, the consortium includes Hochschule München, INBOLT SAS, and ENSAM LISPEN, highlighting cross-border collaboration for industrial automation and crisis resilience.

➀ Qualcomm's Snapdragon X2 Elite Extreme chip, with 18 cores and 48GB LPDDR5X-9523 RAM, claims up to 50% multi-core and 80% GPU performance gains over its predecessor;

➁ Early benchmarks show it outperforms AMD Ryzen 9 HX 370, Intel Core Ultra 9, and Apple M4 in CPU, GPU, and NPU tests, though results are from controlled demo systems;

➂ Set to launch in H1 2025 at premium prices, its market success faces challenges from future Apple/AMD/Intel chips and real-world thermal/pricing factors.

➀ Embedd.it launched a cross-vendor graphical MCU configurator at Microelectronics UK, leveraging AI to unify data from 1,400+ MCU families (e.g., Renesas, STMicroelectronics) for embedded software development;

➁ The tool simplifies pin assignment, device tree generation, and driver automation, reducing design time and enabling hardware migration across vendors to strengthen supply chain resilience;

➂ Available as a Visual Studio Code extension and web app, it will soon support bare-metal configuration outputs.

➀ Analog Bits announced new IPs including LDOs, droop detectors, and embedded clock LC PLLs on TSMC's N3P and N2P processes;

➁ The company demonstrated automotive-grade power management solutions and received TSMC's 2025 OIP Partner of the Year Award for the second consecutive year;

➂ Collaborations with Socionext and Cerebras highlighted applications in data centers, AI, and chiplet-based designs.