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I’m learning and teaching this at the same time. Boolean algebra is awesome!
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My First DIY Automatic Fan Controller — Temp: 22°C, Mode: Auto, Gear: 2 🚀
![]() | Fantastic!!! STM32-based project with an LCD display and a PIR + temp module. [link] [comments] |
A logically correct SoC design isn’t an optimized design

The shift from manual design to AI-driven, physically aware automation of network-on-chip (NoC) design can be compared to the evolution of navigation technology. Early GPS systems revolutionized road travel by automating route planning. These systems allowed users to specify a starting point and destination, aiming for the shortest travel time or distance, but they had a limited understanding of real-world conditions such as accidents, construction, or congestion.
The result was often a path that was correct, and minimized time or distance under ideal conditions, but not necessarily the most efficient in the real world. Similarly, early NoC design approaches automated connectivity, yet without awareness of physical floorplans or workloads as inputs for topology generation, they usually fell well short of delivering optimal performance.
Figure 1 The evolution of NoC design has many similarities with GPS navigation technology. Source: Arteris
Modern GPS platforms such as Waze or Google Maps go further by factoring in live traffic data, road closures, and other obstacles to guide travelers along faster, less costly routes. In much the same way, automation in system-on-chip (SoC) interconnects now applies algorithms that minimize wire length, manage pipeline insertion, and optimize switch placement based on a physical awareness of the SoC floorplan. This ensures that designs not only function correctly but are also efficient in terms of power, area, latency, and throughput.
The hidden cost of “logically correct”
As SoC complexity increases, the gap between correctness and optimization has become more pronounced. Designs that pass verification can still hide inefficiencies that consume power, increase area, and slow down performance. Just because a design is logically correct doesn’t mean it is optimized. While there are many tools to validate that a design is logically correct, both at the RTL and physical design stages, what tools are there to check for design optimization?
Traditional NoC implementations depend on experienced NoC design experts to manually determine switch locations and route the connections between the switches and all the IP blocks that the NoC needs to connect. Design verification (DV) tools can verify that these designs meet functional requirements, but subtle inefficiencies will remain undetected.
Wires may take unnecessarily long detours around blocks of IP, redundant switches may persist after design changes, and piecemeal edits often accumulate into suboptimal paths. None of these are logical errors that many of today’s EDA tools can detect. They are inefficiencies that impact area, power, and latency while remaining invisible to standard checks.
Manually designing an NoC is also both tedious and fragmented. A large design may take several days to complete. Expert designers must decide where to place switches, how to connect them, and when to insert pipeline stages to enable timing closure.
While they may succeed in producing a workable solution, the process is vulnerable to oversights. When engineers return to partially completed work, they may not recall every earlier decision, especially for work done by someone else on the team. As changes accumulate, inefficiencies mount.
The challenge compounds when SoC requirements shift. Adding or removing IP blocks is routine, yet in manual flows, such changes often force large-scale rework. Wires and switches tied to outdated connections often linger because edits rarely capture every dependency.
Correcting these issues requires yet more intervention, increasing both cost and time. Automating NoC topology generation eliminates these repetitive and error-prone tasks, ensuring that interconnects are optimized from the start.
Scaling with complexity
The need for automation grows as SoC architectures expand. Connecting 20 IP blocks is already challenging. At 50, the task becomes overwhelming. At 500, it’s practically impossible to optimize without advanced algorithms. Each block introduces new paths, bandwidth requirements, and physical constraints. Attempting this manually is no longer realistic.
Simplified diagrams of interconnects often give the impression of manageable scale. Reality is far more daunting, where a single logical connection may consist of 512, 1024, or even 2048 individual wires. Achieving optimized connectivity across hundreds of blocks requires careful balancing of wire length, congestion, and throughput all at once.
Another area where automation adds value is in regular topology generation. Different regions of a chip may benefit from different structures such as meshes, rings, or trees. Traditionally, designers had to decide these configurations in advance, relying on experience and intuition. This is much like selecting a fixed route on your GPS, without knowing how conditions may change.
Automation changes the approach. By analyzing workload and physical layout, the system can propose or directly implement the topology best suited for each region. Designers can choose to either guide these choices or leave the system to determine the optimal configuration. Over time, this flexibility may make rigid topologies less relevant, as interconnects evolve into hybrids tailored to the unique needs of each design.
In addition to initial optimization, adaptability during the design process is essential. As new requirements emerge, interconnects must be updated without requiring a complete rebuild. Incremental automation preserves earlier work while incorporating new elements efficiently, removing elements that are no longer required. This ability mirrors modern navigation systems, which reroute travelers seamlessly when conditions change rather than responding to the evolving conditions once the journey has started.
For SoC teams, the value is clear. Incremental optimization saves time, avoids unnecessary rework, and ensures consistency throughout the design cycle.
Figure 2 FlexGen smart NoC IP unlocks new performance and efficiency advantages. Source: Arteris
Closing the gap with smart interconnects
SoC development has benefited from decades of investment in design automation. Power analysis, functional safety, and workload profiling are well-established. However, until now, the complexity of manually designing and updating NoCs left teams vulnerable to inefficiencies that consumed resources and slowed progress. Interconnect designs were often logically correct, but rarely optimal.
Suboptimal wire length is one of the few classes of design challenges that some EDA tools still may not detect. NoC automation has bridged the gap, eliminating them at the source, delivering a correct wire length optimized to meet the throughput constraints of the design specification. By embedding intelligence into the interconnect backbone, design teams achieve solutions that are both correct and efficient, while reducing or even eliminating reliance on scarce engineering expertise.
NoCs have long been essential for connecting IP blocks in modern complex SoC design, and often the cause of schedule delays and throughput bottlenecks. Smart NoC automation now transforms interconnect design by reducing risk for both the project schedule and its ultimate performance.
At the forefront of this change is smart interconnect IP created to address precisely these challenges. By automating topology generation, minimizing wire lengths, and enabling incremental updates, a smart interconnect IP like FlexGen closes the gap between correctness and optimization. As a result, engineering groups under pressure to deliver complex designs quickly gain a path to higher performance with less effort.
There is a difference between finding a path and finding the best path. In SoC design, that difference determines competitiveness in performance, power, and time-to-market, and smart NoC automation is what makes it possible.
Rick Bye is Director of Product Management and Marketing at Arteris, overseeing the FlexNoC family of non-coherent NoC IP products. Previously, he was a senior product manager at Arm, responsible for a demonstration SoC and compression IP. Rick has extensive product management and marketing experience in semiconductors and embedded software.
Related Content
- SoC Interconnect: Don’t DIY!
- The network-on-chip interconnect is the SoC
- SoC interconnect architecture considerations
- SoCs Get a Helping Hand from AI Platform FlexGen
- Smarter SoC Design for Agile Teams and Tight Deadlines
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Spectrum Instrumentation Unveils Flagship Multi-Channel GHz Digitizers
AI Ethernet NIC drives trillion-parameter AI workloads

Broadcom Inc. introduces Thor Ultra, claiming the industry’s first 800G AI Ethernet network interface card (NIC). The Ethernet NIC, adopting the open Ultra Ethernet Consortium (UEC) specification, can interconnect hundreds of thousands of XPUs to drive trillion-parameter AI workloads.
The UEC modernized remote direct memory access (RDMA) for large AI clusters, which the Thor Ultra leverages, offering several RDMA innovations. These include packet-level multipathing for efficient load balancing, out-of-order packet delivery directly to XPU memory for maximizing fabric utilization, selective retransmission for efficient data transfer, and programmable receiver-based and sender-based congestion control algorithms.
By providing these advanced RDMA capabilities in an open ecosystem, it allows customers to connect to XPUs, optics, or switches and to reduce dependency on proprietary, vertically integrated solutions, Broadcom said.

The Thor Ultra joins Broadcom’s Ethernet AI networking portfolio, including Tomahawk 6, Tomahawk 6-Davisson, Tomahawk Ultra, Jericho 4, and Scale-Up Ethernet (SUE), as part of an open ecosystem for large scale high-performance XPU deployments.
The Thor Ultra Ethernet NIC is available in standard PCIe CEM and OCP 3.0 form factors. It offers 200G or 100G PAM4 SerDes with support for long-reach passive copper, and claims the industry’s lowest bit error rate SerDes, reducing link flaps and accelerating job completion time.
Other features include a PCI Express Gen 6 ×16 host interface, programmable congestion control pipeline, secure boot with signed firmware and device attestation, and line-rate encryption and decryption with PSP offload, which relieves the host/XPU of compute-intensive tasks.
The Ethernet NIC also provides packet trimming and congestion signaling support with Tomahawk 5, Tomahawk 6, or any UEC compliant switch. Thor Ultra is now sampling.
The post AI Ethernet NIC drives trillion-parameter AI workloads appeared first on EDN.
Power design tools ease system development

Analog Devices, Inc. (ADI) launches its ADI Power Studio, a family of products that offers advanced modeling, component recommendations, and efficiency analysis with simulation to help streamline power management design and optimization. ADI also offers early versions of two new web-based tools as part of Power Studio.
The web-based ADI Power Studio Planner and ADI Power Studio Designer tools, together with the full ADI Power Studio portfolio, are designed to streamline the entire power system design process from initial concept through measurement and evaluation. The Power Studio portfolio also features ADI’s existing desktop and web-based power management tools, including LTspice, SIMPLIS, LTpowerCAD, LTpowerPlanner, EE-Sim, LTpowerPlay, and LTpowerAnalyzer.

The Power Studio tools address key challenges in designing electronic systems with dozens of power rails and interdependent voltage domains, which creates greater design complexity. These bottlenecks require rework during architecture decisions, component selection, and validation, ADI said.
Power Studio addresses these challenges by providing a workflow that helps engineering teams make better decisions earlier by simulating real-world performance with accurate models and automating key outputs such as bill of materials and report generation, helping to reduce rework.
The ADI Power Studio Planner web-based tool targets system-level power tree planning. It provides an interactive view of the system architecture, making it easier to model power distribution, calculate power loss, and analyze system efficiency. Key features include intelligent parametric search and tradeoff comparisons.
The ADI Power Studio Designer is a web-based tool for IC-level power supply design. It provides optimized component recommendations, performance estimates, and tailored efficiency analysis. Built on the ADI power design architecture, Power Studio Designer offers guided workflows so engineers can set key parameters to build accurate models to simulate real-world performance, with support for both LTspice and SIMPLIS schematics, before moving to hardware.
Power Studio Planner and Power Studio Designer are available now as part of the ADI Power Studio. These tools are the first products released under ADI’s vision to deliver a fully connected power design workflow for customers. ADI plans to introduce ongoing updates and product announcements in the months ahead.
The post Power design tools ease system development appeared first on EDN.
Broadcom delivers Wi-Fi 8 chips for AI

Broadcom Inc. claims the industry’s first Wi-Fi 8 silicon solutions for the broadband wireless edge, including residential gateways, enterprise access points, and smart mobile clients. The company also announced the availability of its Wi-Fi 8 IP for license in IoT, automotive, and mobile device applications.
Designed for AI-era edge networks, the new Wi-Fi 8 chips include the BCM6718 for residential and operator access applications, the BCM43840 and BCM43820 for enterprise access applications, and the BCM43109 for edge wireless clients such as smartphones, laptops, tablets and automotive. These new chips also include a hardware-accelerated telemetry engine, targeting AI-driven network optimization. This engine collects real-time data on network performance, device behavior, and environmental conditions.

The engine is a critical input for AI models and can be used by customers to train and run inference on the edge or in the cloud for use cases such as measuring and optimizing quality of experience (QoE), strengthening Wi-Fi network security and anomaly detection, and lowering the total cost of ownership through predictive maintenance and automated optimization, Broadcom said.
Wi-Fi 8 silicon chipsThe BCM6718 residential Wi-Fi access point chip features advanced eco modes for up to 30% greater energy efficiency and third-generation digital pre-distortion, which reduces peak power by 25%. Other features include a four-stream Wi-Fi 8 radio, receiver sensitivity enhancements enabling faster uploads, BroadStream wireless telemetry engine for AI training/inference, and BroadStream intelligent packet scheduler to maximize QoE. It also provides full compliance to IEEE 802.11bn and WFA Wi-Fi 8 specifications.
The BCM43840 (four-stream Wi-Fi 8 radio) and BCM43820 (two-stream scanning and analytics Wi-Fi 8 radio) enterprise Wi-Fi access point chips also feature advanced eco modes and third-generation digital pre-distortion, a BroadStream wireless telemetry engine for AI training/inference, and full compliance to IEEE 802.11bn and WFA Wi-Fi 8 specifications. They also provide an advanced location tracking capability.
The highly-integrated BCM43109 dual-core Wi-Fi 8, high-bandwidth Bluetooth, and 802.15.4 combo chip is optimized for mobile handset applications. The combo chip offers non-primary channel access for latency reduction and improved low-density parity check coding to extend gigabit coverage. It also provides full compliance to IEEE 802.11bn and WFA Wi-Fi 8 specifications, along with 802.15.4 support including Thread V1.4 and Zigbee Pro, and Bluetooth 6.0 high data throughput and higher-bands support. Other key features include a two-stream Wi-Fi 8 radio with 320-MHz channel support, enhanced long range Wi-Fi, and sensing and secure ranging.
The Wi-Fi 8 silicon is currently sampling to select partners. The Wi-Fi IP is currently available for licensing, manufacture, and use in edge client devices.
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Microchip launches PCIe Gen 6 switches

Microchip Technology Inc. expands its Switchtec PCIe family with its next-generation Switchtec Gen 6 PCIe fanout switches, supporting up to 160 lanes for high-density AI systems. Claiming the industry’s first PCIe Gen 6 switches manufactured using a 3-nm process, the Switchtec Gen 6 family features lower power consumption and advanced security features, including a hardware root of trust and secure boot with post-quantum-safe cryptography compliant with the Commercial National Security Algorithm Suite (CNSA) 2.0.
The PCIe 6.0 standard doubles the bandwidth of PCIe 5.0 to 64 GT/s per lane, making it suited for AI workloads and high-performance computing applications that need faster data transmission and lower latency. It also adds flow control unit (FLIT) mode, a lightweight forward-error-correction (FEC) system, and dynamic resource allocation, enabling more efficient and reliable data transfer, particularly for small packets in AI workloads.
As a high-performance interconnect, the Switchtec Gen 6 PCIe switches, Microchip’s third-generation PCIe switch, enable high-speed connectivity between CPUs, GPUs, SoCs, AI accelerators, and storage devices, reducing signal loss and maintaining the low latency required by AI fabrics, Microchip said.
Though there are no production CPUs with PCIe Gen 6 support on the market, Microchip wanted to make sure that they had all of the infrastructure components in advance of PCIe Gen 6 servers.
“This breakthrough is monumental for Microchip, establishing us once again as a leader in data center connectivity and broad infrastructure solutions,” said Brian McCarson, corporate vice president of Microchip’s data center solutions business unit.
Offering full PCIe Gen 6 compliance, which includes FLIT, FET, 64-Gbits/s PAM4 signaling, deferrable memory, and 14-bit tag, the Switchtec Gen 6 PCIe switches feature 160 lanes, 20 ports, and 10 stacks with each port featuring hot- and surprise-plug controllers. Also available are 144-lane variants. These switches support non-transparent bridging to connect and isolate multiple host domains and multicast for one-to-many data distribution within a single domain. They are suited for high-performance compute, cloud computing, and hyperscale data centers.

Multicast support is a key feature of the next-generation switch. Not all switch providers have multicast capability, McCarson said.
“Without multicast, if a CPU needs to communicate to two drives because you want to have backup storage, it has to cast to one drive and then cast to the second drive,” McCarson said. “With multicast, you can send a signal once and have it cast to multiple drives.
“Or if the GPU and CPU have to communicate but you need to have all of your GPUs networked together, the CPU can communicate to an entire bank of GPUs or vice versa if you’re operating through a switch with multicast capability,” he added. “Think about the power savings from not having a GPU or CPU do the same thing multiple times day in, day out.”
McCarson said customers are interested in PCIe Gen 6 because they can double the data rate, but when they look at the benefits of multicast, it could be even bigger than doubling the data rates in terms of efficient utilization of their CPU and GPU assets.
Other features include advanced error containment and comprehensive diagnostics and debug capabilities, several I/O interfaces, and an integrated MIPS processor with bifurcation options at x8 and x16. Input and output reference clocks are based on PCIe stacks with four input clocks per stack.
Higher performanceThe Switchtec Gen 6 product delivers on performance in signal integrity, advanced security, and power consumption.
PCIe 6.0 uses PAM4 signaling, which enables the doubling of the data rate, but it can also reduce the signal-to-noise ratio, causing signal integrity issues. “Signal integrity is one of the key factors when you’re running this higher data rate,” said Tam Do, technical engineer, product marketing for Microchip’s Data Center Solutions business unit
Signal loss, or insertion loss, set by the PCIe 6 spec is 32 dB. The new switch meets the spec thanks in part to its SerDes design and Microchip’s recommended layout of the pinout and package, according to Do.
In addition, Microchip added post-quantum cryptography to the new chip, which is not part of the PCIe standard, to meet customer requirements for a higher level of security, Do said.
The PCIe switch also offers lower power consumption, thanks to the 3-nm process, than competing PCIe Gen 6 devices built on older technology nodes.
Development tools include Microchip’s ChipLink diagnostic tools, which provide debug, diagnostics, configuration, and analysis through an intuitive graphical user interface. ChipLink connects via in-band PCIe or sideband signals such as UART, TWI, and EJTAG. Also available is the PM61160-KIT Switchtec Gen 6 PCIe switch evaluation kit with multiple interfaces.
Switchtec Gen 6 PCIe switches (x8 and x16 bifurcation) and an evaluation kit are available for sampling to qualified customers. A low-lane-count version with 64 and 48 lanes with x2, x4, x8, x16 bifurcation for storage and general enterprise use cases will also be available in the second quarter of 2026.
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Віктор Лазаренко. Пів століття разом із КПІ
Точніше, не разом, а в КПІ. Це про Віктора Васильовича Лазаренка, який відзначив цей шани гідний ювілей у вересні цього року. Безумовно, багато працівників Київської політехніки знайомі з Віктором Васильовичем.
IV семінар серії «Аспекти національної безпеки та оборони»
У КПІ ім. Ігоря Сікорського відбувся четвертий семінар із серії «Аспекти національної безпеки та оборони»
Пам'яті Шумара Андрія Георгійовича
На війні загинув студент нашого університету Шумар Андрій Георгійович (05.06.1988 – 04.10.2025)...
Power Integrations details 1250V and 1700V PowiGaN technology for 800VDC AI data centers
Renesas’ GaN-based power devices supporting NVIDIA’s 800V direct current power architecture
Qualcomm to Buy Arduino, Powering a New Era of Open Hardware
Amps x Volts = Watts
Analog topologies abound for converting current to voltage, voltage to current, voltage to frequency, and frequency to voltage, among other conversions.
Figure 1 joins the flock while singing a somewhat different tune. This current, voltage, and power (IVW) DC power converter multiplies current by voltage to sense wattage. Here’s how it gets off the ground.
Figure 1 The “I*V = W” converter comprises voltage-to-frequency conversion (U1ab & A1a) with frequency (F) of 2000 * Vload, followed by frequency-to-voltage conversion (U1c & A1b) with Vw = Iload * F / 20000 = (Iload * Vload) / 10 = Watts / 10 where Vload < 33 V and Iload < 1.5 A.
Wow the engineering world with your unique design: Design Ideas Submission Guide
The basic topology of the IVW converter comprises a voltage-to-frequency converter (VFC) cascaded with a frequency-to-voltage converter (FVC). U1ab and A1a, combined with the surrounding discretes (Q1, Q2, Q3, etc.), make a VFC similar to the one described in this previous Design Idea, “Voltage inverter design idea transmogrifies into a 1MHz VFC”
The U1ab, A1a, C2, etc., VFC forms an inverting charge pump feedback loop that actively balances the 1 µA/V current through R2. Each cycle of the VFC deposits a charge of 5v * C2, or 500 picocoulombs (pC), onto integrator capacitor C3 to produce an F of 2 kHz * Vload (= 1 µA / 500 pC) for the control signal input of the FVC switch U1c.
The other input to the U1c FVC is the -100 mV/A current-sense signal from R1. This combo forces U1c to pump F * -0.1 V/amp * 500 pF = -2 kHz * Vload * 50 pC * Iload into the input of the A1b inverting integrator.
The melodious result is:
Vw = R1 * Iload * 2000 * Vload * R6 * C6
or,
Vw = Iload * Vload * 0.1 * 2000 * 1 MΩ * 500 pF = 100 mV/W.
The R6C5 = 100-ms integrator time constant provides >60-dB of ripple attenuation for Vload > 1-V and a low noise 0- to 5-V output suitable for consumption by a typical 8- to 10-bit resolution ADC input. Diode D1 provides fire insurance for U1 in case Vload gets shorted to ground.
Stephen Woodward’s relationship with EDN’s DI column goes back quite a long way. Over 100 submissions have been accepted since his first contribution back in 1974.
Related Content
- Voltage inverter design idea transmogrifies into a 1MHz VFC
- A simulated 100-MHz VFC
- A simple, accurate, and efficient charge pump voltage inverter for $1 (in singles)
- 100-MHz VFC with TBH current pump
The post Amps x Volts = Watts appeared first on EDN.
Summit Series Day 3 is Here! All About Test & Measurement, October 15
"Professional Company" Repair. Now out of business, I wonder why. Some people love botching electrics. SMD resistors with two legs soldered on. How hard it is to order the correct through hole resistors.
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TI’s new power-management solutions enable scalable AI infrastructures
Texas Instruments (TI) debuted new design resources and power-management chips to help companies meet growing artificial intelligence (AI) computing demands and scale power-management architectures from 12V to 48V to 800 VDC. The new solutions will be on display at Open Compute Summit (OCP) Oct. 13-16 in San Jose, and include:
- “Power delivery trade-offs when preparing for the next wave of AI computing growth”: TI is collaborating with NVIDIA to develop power-management devices to support 800 VDC power architecture, as IT rack power is expected to eclipse 1MW in the next two to three years. This white paper reexamines the power delivery architecture within the IT rack, and addresses design challenges and opportunities for high efficiency and high power-density energy conversion at a system level.
- Reference design: 30kW AI server power-supply unit: To support stringent AI workloads, TI’s dual-stage power-supply reference design features a three-phase, three-level flying capacitor power factor correction converter paired with dual delta-delta three-phase inductor-inductor-capacitor converters. The power supply is configurable as a single 800V output or separate output supplies.
- Dual-phase smart power stage:The highest peak power density power stage on the market, TI’s CSD965203B offers 100A of peak current per phase and combines two power phases in a single 5mm-by-5mm quad flat no-lead package. The device enables designers to increase phase count and power delivery across a small printed circuit board area, improving efficiency and performance.
- Dual-phase smart power module for lateral power delivery: The CSDM65295 module delivers up to 180A of peak output current in a compact 9mm-by-10mm-by-5mm package, helping engineers increase data center power density without compromising thermal management. The module integrates two power stages and two inductors with trans-inductor voltage regulation (TLVR) options, while maintaining high efficiency and reliable operation.
- Gallium-nitride intermediate bus converter: Capable of delivering up to 1.6kW of output power in a quarter-brick (58.4-mm-by-36.8mm) form factor, TI’s LMM104RM0 converter module offers over 97.5% input-to-output power-conversion efficiency and high light-load efficiency to enable active current sharing between multiple modules.
AI data centers require architectures designed with multiple foundational semiconductors for efficient power management, sensing and data conversion. With new design resources and a broad power-management portfolio, TI is working alongside data center designers to implement a comprehensive approach that drives efficient, safe power management – from power generation at the grid to the fundamental logic gates of graphics processing units.
“With the growth of AI, data centers are evolving from simple server rooms to highly sophisticated power infrastructure hubs,” said Chris Suchoski, sector general manager, Data Centers at TI. “Scalable power infrastructure and increased power efficiency are essential to meet these demands and drive future innovation. With devices from TI, designers can build innovative, next-generation solutions that are enabling the transition to 800 VDC.”
The post TI’s new power-management solutions enable scalable AI infrastructures appeared first on ELE Times.
КПІ ім. Ігоря Сікорського на відкритті Huawei Student Tech Challenge 2025
Ця ініціатива спрямована на розвиток практичних навичок студентів у сфері ІКТ, виконання реальних бізнес-завдань, а також роботу з провідними експертами галузі.
ESA awards Rohde & Schwarz for contributions to 30 years European Satellite Navigation
The event brought together institutional and industrial partners, ESA Member State representatives, and leading figures in satellite navigation. The celebration revisited pivotal milestones in Europe’s satellite navigation history and looked ahead to future innovations. A highlight of the evening was the award ceremony led by European Space Agency (ESA) Director of Navigation Javier Benedicto, who, alongside past directors, presented accolades to organizations and partners instrumental in this success story.
Rohde & Schwarz’s recognition underscores their role in advancing European satellite navigation technology. Their contributions have been vital in the development and operational success of Galileo and EGNOS, systems that have revolutionized positioning, navigation, and timing services across Europe and beyond.
The event not only celebrated past achievements but also set the stage for the future of European satellite navigation, with discussions around upcoming initiatives and advancements. For Rohde & Schwarz and other honourees, the evening served as both a celebration of past achievements and a call to continue building a connected, resilient, and sustainable future in space.
Rob Short, Director Business Development at Rohde & Schwarz comments: “Thirty years of satellite navigation is a testament to shared vision, determination to push technology boundaries, and intense, long-term collaboration. We are honoured to have contributed to this remarkable achievement. Congratulations to everyone who made this milestone possible.”
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