Principal Engineer

Microchip and Marelli pioneer open-standard display connectivity solution for software-defined vehicles. Solution streams graphics and videos from centralized compute systems to automotive displays using standards-based ASA Motion Link connectivity. CHANDLER, Ariz. and SAITAMA, Japan, Sept. 03, 2026 (GLOBE NEWSWIRE) - Microchip Technology (Nasdaq: MCHP), a broadline supplier of semiconductors committed to making innovative design easier through total system solutions, and Marelli, a global automotive supplier, today announces a new solution that enables graphics and video content generated by a vehicle's central computer to be streamed directly to automotive displays using ASA Motion Link (ASA-ML), an open standard for automotive video connectivity. The demonstrator of this solution helps vehicle makers simplify display architectures, optimize system costs and increase sourcing flexibility while supporting the transition toward software-defined vehicles (SDVs). ASA Motion Link is an open standard for automotive video connectivity and SerDes (serializer-deserializer) communication, defined by the Automotive SerDes Alliance (ASA), a global consortium of vehicle makers, Tier 1 suppliers and semiconductor companies. By enabling secure, high-speed video and graphics transmission across products from multiple technology providers, the standard supports greater compatibility across the automotive ecosystem and provides a scalable alternative to proprietary video transmission technologies. As a founding member of ASA, Microchip is advancing the automotive industry's transition from proprietary connectivity technologies to open, interoperable standards, and has demonstrated broad interoperability with its camera solutions and is now extending those solutions to enable display connectivity. As vehicle architectures evolve toward centralized computing and software-defined vehicles (SDVs), vehicle makers are looking for connectivity solutions that can support growing performance demands while reducing complexity, controlling costs and enabling scalable vehicle electronics architectures. In the joint demonstrator solution, graphics and video content generated by the vehicle's central computer is processed and transmitted through Microchip's VS7000 ASA-ML chipset over a high-speed standardized link. Marelli pioneers the display-side integration of the technology by enabling the configuration and optimization of the ASA ML deserializer to decode standardized video streams directly at the display. This ensures accurate reception, synchronization and delivery of centrally generated content, including camera feeds, navigation maps, infotainment graphics and vehicle control interfaces, while enabling simplified display-side electronic architectures. "The transition to software-defined vehicles is driving demand for more open, flexible and scalable electronic architectures," said Kelei Shen, president of Marelli's electronics business. "As an integrator within the automotive ecosystem, Marelli brings together best-in-class technologies from multiple partners to deliver complete solutions for vehicle makers. This collaboration highlights how open standards can accelerate innovation while providing interoperability needed for the next generation of vehicle architectures." "Open standards play a critical role in accelerating innovation by reducing dependency on proprietary technologies," said Kevin So, vice president of Microchip's communications business unit. "Our collaboration with Marelli demonstrates how ASA Motion Link provides automotive manufacturers with a secure, interoperable and scalable connectivity solution that simplifies integration across the ecosystem." Technology Highlights * Open interoperability enabling seamless connectivity between cockpit systems and displays from multiple technology providers. * Greater supplier flexibility thanks to open protocol specifications supported across the automotive ecosystem. * Integrated security with link-layer authentication and encryption embedded in the communication channel. * Robust data transmission with lossless communication and high immunity to electromagnetic noise. * Scalable performance supporting data rates up to 16 Gbps to address a range of display requirements. * Optimized efficiency enabled by embedded Time Division Duplex (TDD) functionality and simplified Forward Error Correction (FEC), contributing to lower power consumption. * Path to increasingly Ethernet-centric vehicle architectures. The collaboration demonstrates how open-standard connectivity supports in-vehicle networking and electronics by enabling secure communication between centralized computing systems and displays. It also reflects Marelli's broader commitment to adopting open standards that help simplify development, optimize system costs, and promote a more open automotive ecosystem. Resources High-res image available through Flickr or editorial contact (feel free to publish): About Microchip Technology: Microchip Technology Inc. is a broadline supplier of semiconductors committed to making innovative design easier through total system solutions that address critical challenges at the intersection of emerging technologies and durable end markets. Its easy-to-use development tools and comprehensive product portfolio supports customers throughout the design process, from concept to completion. Headquartered in Chandler, Arizona, Microchip offers outstanding technical support and delivers solutions across the industrial, automotive, consumer, aerospace and defense, communications and computing markets. For more information, visit the Microchip website at www.microchip.com. About Marelli: Marelli is a global mobility technology supplier to the automotive industry. With a strong and established track record in innovation and manufacturing excellence, our mission is to transform the future of mobility through working with customers and partners to create a safer, greener, and better-connected world. With around 40,000 employees worldwide, the Marelli footprint includes over 150 sites globally. For more information, visit the Marelli website at www.marelli.com. Note: The Microchip name and logo and the Microchip logo are registered trademarks of Microchip Technology Incorporated in the U.S.A. and other countries. All other trademarks mentioned herein are the property of their respective companies. Editorial Contacts: Microchip Technology Kim Dutton [email protected] Marelli Maurizio Scrignari [email protected] M + 39 335 7577830

Microchip Technology is expanding its product portfolio to target high-growth markets including edge AI, data centres, aerospace and defence. The company's strategy combines microcontrollers, FPGAs, timing and connectivity products into integrated system solutions. Microchip launched Revision 2.0 of its PolarFire FPGA Ethernet Sensor Bridge for NVIDIA Holoscan-based edge AI systems. The platform is 60% smaller than its predecessor, supports twice as many cameras and uses 10Gb Ethernet connectivity. The company introduced the Space CSAC-SA65 chip-scale atomic clock for LEO satellites and positioning applications. Aerospace and defence revenues increased 45.6% year over year in the first quarter of fiscal 2027. Microchip expects its data-centre portfolio to grow to approximately $1 billion in calendar 2026, up from $591 million in 2025.

Seedcamp leads $2.7M round for Ukrainian-founded physical AI startup Embedd. August 24, 2026 * Embedd, a London-based startup founded by Ukrainian entrepreneurs, has raised $2.7 million in pre-seed funding led by Seedcamp. * Its AI platform cuts the software integration work behind robots, cars, drones and medical devices from months down to weeks. * The startup is already working with Microchip Technology, one of the world's largest semiconductor makers. Embedd, a London-based startup building software infrastructure for robots, cars, drones and medical devices, has raised $2.7 million in pre-seed funding led by Seedcamp. Cocoa, Connect Ventures, 2100 Ventures, Vesna Capital, U.ventures, Underline Ventures, Common Magic, and Roosh Ventures also joined the round. Every intelligent machine runs on dozens of chips that don't share a common language, and engineers currently spend four to six months hand-writing the code that lets them talk to each other. Embedd's platform cuts that down to around three weeks, an eightfold reduction, and says it can deliver production-ready software for a given chip up to six times faster than the manual process. "The next wave of AI will power factories, vehicles, robots and critical infrastructure, but today, every change in hardware creates huge complexity for software teams, and that friction is already massively slowing innovation," said Michael Lazarenko, co-founder and CEO of Embedd. A software gap hiding behind the physical AI boom. The money is arriving at a busy moment for the category. Nearly $19 billion has gone into robotics and physical AI startups so far this year, with $16.3 billion of that landing in the first quarter alone. Most of it is chasing robots and foundation models. Embedd is chasing something less visible: the software layer that none of that hardware works without. Lazarenko founded Embedd with Maxim Gorinov and Valentin Gololobov, Ukrainian entrepreneurs who ran a hardware company together before this one. Covid-era chip shortages forced them to keep re-sourcing components and rewriting firmware from scratch, and Russia's invasion of Ukraine later took their production facility outright. Watching that rewrite cycle repeat itself is what convinced them the integration problem would only get worse as AI moved off screens and into physical machines. The startup works by turning chip documentation into a digital twin of the hardware, rather than having an engineer read a datasheet line by line. From hardware disruption to a new software company. It's not the only one going after this. Bengaluru-based H2LooP raised $2 million from Speciale Invest and 3one4 Capital earlier this year for a similar hardware-aware AI layer that pairs specialised models with a knowledge graph of hardware specs and safety standards. H2LooP relies on AI coding agents that work across existing codebases; Embedd builds outward from a structured hardware model instead. Which approach chipmakers standardise on is still an open question. Since launching commercially in April 2026, Embedd has signed on several semiconductor customers, most notably Microchip Technology, where it's enabling support for the Zephyr real-time operating system. "The competitive question in embedded is no longer whose silicon is fastest, it's whose silicon is easiest to build on. Our work with Embedd is about meeting developers inside the software ecosystems they've already committed to, rather than asking them to come to ours," said Rodger Richey, Microchip's vice president of development systems and academic programs. Embedd launched commercially in April 2026 and has since signed contracts with multiple semiconductor companies. Carlos Eduardo Espinal, general partner at Seedcamp, points to the scale of the problem as the draw: "Embedd is tackling one of the fundamental challenges facing industries from robotics and manufacturing to healthcare and automotive, and we're excited to back Michael and the team as they build the infrastructure underpinning the next generation of intelligent machines." Embedd plans to use the new funding to expand its platform and deepen partnerships with semiconductor companies. Its broader ambition is to make hardware easier to adopt across software ecosystems, reducing the time needed to bring new chips into products as physical AI becomes more widespread.