➀ NVIDIA showcased its Blackwell architecture at Hot Chips 2025, emphasizing advancements in neural rendering and machine learning (ML)-based graphics to enhance realism while optimizing compute efficiency;

➁ The RTX 5090 features GDDR7 memory for higher bandwidth, FP4 precision for ML workloads, and an AI Management Processor to dynamically balance graphics and AI tasks;

➂ New techniques like shader execution reordering and frame-generation via ML reduce power consumption, while Universal MIG enables efficient GPU resource partitioning for multi-client scenarios.

➀ The NVIDIA Jetson AGX Thor Developer Kit brings Blackwell architecture to robotics with 25x AI performance improvement over previous gen;

➁ Features 4x 25GbE via QSFP28, advanced cooling, and 1TB SSD with dedicated heatsink, but omits PCIe slot from prior models;

➂ Targets robotics developers with $3,499 kit for prototyping before deploying module-based systems.

➀ NVIDIA introduces **Spectrum-XGS Ethernet** to unify geographically distributed data centers into giga-scale AI factories, addressing power and capacity limitations;

➁ The platform enhances performance via adaptive algorithms, nearly doubling communication efficiency for multi-GPU clusters, enabling seamless operation as a single AI super-factory;

➂ Hyperscale partners like CoreWeave adopt the technology, leveraging its high bandwidth density and energy-efficient scalability for next-gen AI infrastructure.

➀ Ed's recommended AI system for UK government payments mistakenly halted the Sovereign Grant, citing multi-residence occupancy and probing sensitive palace affairs;

➁ The King demanded explanations; Ed appointed a CTO to resolve the crisis by clarifying AI hallucinations, which aligned with the monarch's AI concerns;

➂ The incident damaged Ed's political standing but ended humorously.

➀ NVIDIA reveals its Quantum-X and Spectrum-X silicon photonics platforms with co-packaged optics (CPO) for AI GPU interconnect, aiming for 2026 deployment;

➁ Collaborating with TSMC's 3-stage COUPE roadmap, NVIDIA achieves up to 12.8 Tb/s bandwidth and 85% power reduction via CPO integration;

➂ CPO eliminates 30W traditional optical modules, enabling liquid-cooled 800 Gb/s switches for multi-rack AI clusters with 10x reliability improvements.

➀ Arm recruited Amazon's top IC developer Rami Sinno to develop proprietary AI chips, signaling increased investment in in-house semiconductor efforts;

➁ The smart glasses market surged 110% YoY in H1 2025, with Meta's Ray-Ban models dominating and Xiaomi/TCL-RayNeo expanding their foothold;

➂ The U.S. government plans to convert $10.9B in Chips Act grants into a 10% equity stake in Intel, while SoftBank invests $2B amid growing geopolitical semiconductor competition.

➀ PHWT established the Center for Micromobility (ZMM) to develop small electric vehicles bridging e-bikes and e-cars, enhancing individual transportation;

➁ The project secured €595,000 in funding for a three-year initiative, fostering collaboration between academia and regional industries for lightweight materials and autonomous transport systems;

➂ Focus on sustainability, accessibility for non-license holders, and leveraging AI for applications like autonomous logistics and elderly mobility support.

➀ Perforce will host a webinar on September 10 to discuss the risks and trustworthiness of using GenAI in chip design, featuring expert Vishal Moondhra;

➁ Key concerns include data liability, lack of training traceability, high error costs, and data quality issues in mixing external/internal IP;

➂ The webinar will explore solutions for managing AI model provenance and implementing traceable design workflows using Perforce IPLM tools.

➀ MIT study reveals 95% of enterprise generative AI pilots fail to measurably impact P&L, primarily due to poor integration with existing workflows.

➁ Successful AI implementations focus on back-office automation rather than sales/marketing, yet over 50% of budgets target the latter.

➂ Workforce impacts loom as companies avoid replacing vacant entry-level roles in customer support and administration, signaling potential AI-driven job displacement.

➀ Princeton researchers developed a machine-learning system to curve sub-terahertz signals around obstacles using Airy beams and adaptive metasurfaces;

➁ The AI-driven solution achieves data speeds up to 10x faster than current wireless systems, overcoming line-of-sight limitations;

➂ Applications include ultra-fast connectivity for VR, autonomous vehicles, and dynamic environments requiring robust data transmission.

➀ The Data Center Physical Infrastructure (DCPI) market is projected to grow at a 15% CAGR, reaching $63.1B by 2029, driven by AI-driven workloads and facility redesigns;

➁ Thermal Management, particularly Direct Liquid Cooling (DLC), is forecast to grow at a 19% CAGR, with DLC surging from $1.1B to $5.8B due to rising rack densities;

➂ Service Providers (cloud/colocation) will grow at 20% CAGR, outpacing enterprise growth, while North America leads regional expansion and power constraints are mitigated through hybrid energy solutions.

➀ The Aerospace Corporation conducted the first optical crosslink demonstration between two CubeSats in low-Earth orbit, enabling high-speed data transfer (312.5 Mbps uncorrected) using miniaturized laser technology.

➁ The breakthrough reduces power and cost for future missions, allowing CubeSats to collaborate in formations and bridge the gap between affordability and performance for commercial and government use.

➂ CEO Steve Isakowitz, set to retire in 2026, emphasized advancements in space technology under his decade-long leadership, including AI integration and expanded partnerships.

➀ Fraunhofer IEE launches EnergyFaultDetector, a free open-source AI-based solution for early fault detection in energy systems like wind turbines;

➁ The tool uses self-learning algorithms with existing SCADA data, eliminating the need for additional hardware, and features the ARCANA algorithm for transparent root cause analysis;

➂ Available as a Python library, it includes a quick-start module and integration support for existing management systems.

➀ Arm recruited Rami Sinno, formerly director of engineering at Amazon's Annapurna Labs, who led the development of AI chips Trainium and Inferentia;

➁ Arm aims to develop proprietary chips under its own brand, with increased expenses in its financial report linked to this initiative;

➂ Sinno previously held key roles at Arm from 2014 to 2019, and Arm has also hired talent from HPE and Intel to support its chip development efforts.

➀ Lightmatter developed a 16-wavelength DWDM optical link on a single strand of standard single-mode fiber, enhancing data center bandwidth and scalability for trillion-parameter AI models;

➁ The technology overcomes challenges like wavelength-dependent propagation, thermal drift (via a digital stabilization system), and polarization sensitivity, enabling cost-effective SM fiber use;

➂ Lightmatter raised $850 million, including a $400M Series D round at a $4.4B valuation, reflecting confidence in its photonic computing innovations.

➀ China mandates domestic data centers to source over 50% of chips from local producers to reduce foreign reliance.

➁ U.S. firms like NVIDIA and AMD face export restrictions, limiting Chinese access to advanced AI training GPUs.

➂ Domestic chip adoption may slow AI innovation due to inferior hardware and software compatibility challenges with ecosystems like CUDA.

➀ A European research team, including scientists from DFKI, proposed a four-phase robotic mission concept in Science Robotics to explore lunar lava tubes using autonomous robots;

➁ The mission involves cooperative mapping, sensor deployment, abseiling a rover into caves, and 3D modeling, successfully tested on Lanzarote;

➂ The results highlight the feasibility of heterogeneous robot collaboration for future planetary exploration, developed under the EU-funded CoRob-X project.