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Analog Devices Introduces Expanded CodeFusion Studio™ Solution to Accelerate Product Development and Ensure Data Security

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CodeFusion Studio System Planner enables easy-to-use resource allocation in heterogeneous architectures and optimizes code generation for improved efficiencyThe Data Provenance Software Development solution ensures data trust and traceability for customers across the stack

WILMINGTON, Mass., March 10, 2025 /PRNewswire/ — Analog Devices, Inc. (Nasdaq: ADI), a global semiconductor leader, today unveiled an expanded version of its developer-centric offerings with new solutions to drive more efficiency and security for developers and provide increased customer value. The CodeFusion Studio System Planner helps customers deliver innovations for the Intelligent Edge with enhanced capabilities and reduced time-to-market. The new Data Provenance Software Development solution establishes a trust framework for data created at the Intelligent Edge, ensuring the data remains trustworthy and preserves its fidelity from creation to consumption or storage. Early access kits and software downloads for the solution will be available through https://developer.analog.com/ on April 25.

“The work required of embedded developers is more complicated than ever, from increasingly complex processors to new challenges presented by multiple development teams and a more challenging security environment,” said Rob Oshana, Senior Vice President of the Software and Digital Platforms group at ADI. “We have heard from customers time and again they want to be able to more quickly and easily manage their system design, allocate resources, quickly show proof-of-concept, and do it with data integrity at the edge, all of which inspired this expanded CodeFusion Studio System Planner and Data Provenance Software Development solution offerings.”

In recent years, embedded devices have exponentially increased processing speed, core count, functionality, and complexity – delivering reduced cost and space, but increasing the complexity of software development pipelines. Legacy developer tools often lack the flexibility and customization required to integrate into these pipelines and the established code bases central to effective modern system design. ADI’s CodeFusion Studio System Planner solves many of these project creation and resource partitioning challenges on complex, heterogeneous devices.

Using a permissibly licensed, open-source architecture, ADI’s CodeFusion Studio System Planner enables flexible project creation across multiple cores and graphical resource allocation of memory and peripherals. The offering also includes config tools that are aware of the real-time operating system or firmware platform being used on a given core, exposing context-aware config settings for a peripheral or memory block assigned to a core. With added insight into system performance and accessible, open-source tools to improve resource allocation, developers will have greater ability to efficiently optimize their designs.

Additionally, System Planner enables developers to generate the code they need via a plugin-based project creation system. This system gives developers as much flexibility as possible while benefiting from a common set of configuration tools. A set of plugins for common firmware platforms – Zephyr RTOS, ADI’s SDK, etc. – will be provided out of the box, but customers are free to duplicate and modify those project creation and config plugins for their requirements. The plugin system makes use of a templating engine beneath the surface. Static files are modified by replacing strings in specific locations, and the code generation logic can be augmented with JavaScript or TypeScript functions.

Finally, System Planner provides a graphical utility to partition memory resources, assigning partitions to one or more cores. This utility aims to help customers generate linker scripts or Device Tree memory overlay files. Peripheral blocks can also be graphically assigned to a core, with RTOS-aware config settings.

In addition to the CodeFusion Studio System Planner, ADI is also announcing an upgraded ADI Assure Trusted Edge Security Architecture with the early access release of the company’s first Data Provenance Software Development solution ensuring data trust and traceability for customers across its life cycle.

The new Data Provenance solution establishes a trust framework for signal chain data, ensuring that data created at the Intelligent Edge retains its integrity, authenticity, and preserves its fidelity as it moves through the system. The Data provenance solution allows appending secure metadata, enhancing the trust and fidelity of the generated data; fidelity comes from the addition of information about the history of the data across its journey. Trust is established by a strong cryptographic proof, allowing users to assess the authenticity and integrity of their data across complex networks more easily, whether it’s being used for simple dashboard displays or sophisticated machine learning models.

By establishing end-to-end trust and enhancing data fidelity, Data Provenance leads to more accurate and safe model outputs and greater decision-making precision. The immediate applications include building more reliable algorithms or AI models that operate on authentic, high-quality data, extracting verified sensor insights to improve understanding of signal chain outputs and operational reliability, simply reducing data waste, and rendering the proof of integrity and authenticity easier.

“Not only are we meeting customer needs to simplify development tools and support data trust today, but we are also working towards additional solutions to support the integration of artificial intelligence and machine learning models into embedded systems,” said Oshana. “Stay tuned in the months ahead for additional extensions to the CodeFusion Studio platform as we empower customers to more easily deliver products with embedded intelligence.”

For more information, please visit ADI’s Software & Digital Platforms Newsroom.  

About Analog Devices
Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today’s innovators stay Ahead of What’s Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

Forward-Looking Statements
This press release contains forward-looking statements, which address a variety of subjects including, for example, our statements regarding expected product solutions, offerings, technologies, capabilities, and applications, including those that may incorporate, or be based upon, software; the value and importance of, and other benefits related to, our product solutions, offerings, and technologies to our customers, including those that may incorporate, or be based upon, software; expected market and technology trends; and other future events. Statements that are not historical facts, including statements about our beliefs, plans and expectations, are forward-looking statements. Such statements are based on our current expectations and are subject to a number of factors and uncertainties, which could cause actual results to differ materially from those described in the forward-looking statements. The following important factors and uncertainties, among others, could cause actual results to differ materially from those described in these forward-looking statements: economic, political, legal and regulatory uncertainty or conflicts; changes in demand for semiconductor products; manufacturing delays, product and raw materials availability and supply chain disruptions; products that may be diverted from our authorized distribution channels; changes in export classifications, import and export regulations or duties and tariffs; our development of technologies and research and development investments; our future liquidity, capital needs and capital expenditures; our ability to compete successfully in the markets in which we operate; our ability to recruit and retain key personnel; risks related to acquisitions or other strategic transactions; security breaches or other cyber incidents; adverse results in litigation matters; reputational damage; changes in our estimates of our expected tax rates based on current tax law; risks related to our indebtedness; and unanticipated difficulties or expenditures related to integrating Maxim Integrated Products, Inc. For additional information about factors that could cause actual results to differ materially from those described in the forward-looking statements, please refer to our filings with the Securities and Exchange Commission, including the risk factors contained in our most recent Annual Report on Form 10-K. Forward-looking statements represent management’s current expectations and are inherently uncertain. Except as required by law, we do not undertake any obligation to update forward-looking statements made by us to reflect subsequent events or circumstances.

CONTACT:
Kayla Farr
Global PR and External Communications 
Analog Devices 
CorpComm@analog.com
(803) 603-0674 

Michael Lucarelli
Vice President, Investor Relations
Analog Devices
Investor.Relations@analog.com    
(781) 461-3282

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SOURCE Analog Devices, Inc.

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GAC Wins 8 Awards, Including 4 First Prizes, Showcasing Technological Innovation Strength

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SUZHOU, China, Oct. 31, 2026 /PRNewswire/ — On October 28, GAC won 8 awards at the 2026 China-SAE Science and Technology Award ceremony in Suzhou, Jiangsu. In the fields of automotive chips, electric drive, vehicle safety, intelligent driving governance and body design, four first prizes were awarded to two GAC-led projects and two GAC-participated projects, and one GAC-led project won second prize.

In chips, GAC’s led project built a full-chain path from vehicle definition to scale application, working with 105 partners to apply nearly 400 chip models and over 1,000 domestic chips. The HYPTEC GT Special Edition, China’s first ICV with 100% domestically designed chips, has been launched.

In electric drive, GAC pioneered mass production of amorphous alloy stators and carbon-fiber high-speed rotors, becoming the world’s only company to mass-produce amorphous alloy automotive motors. Its amorphous ribbon is just 0.025 mm thick. The motor reaches 99.03% peak efficiency, 17.29 kW/kg power density (@1000V)—nearly three times the industry mainstream—and 30,000 rpm maximum speed; system CLTC efficiency reaches 94.184%. For users, energy consumption drops 4%, and range rises 30-50 km with the same battery capacity. It has been applied to HYPTEC, AION and AISTALAND models and promoted to other automakers. The related precision manufacturing technology won the Gold Medal with Congratulations of the Jury at the 51st International Exhibition of Inventions of Geneva.

In safety, the GAC-led project with Tsinghua University won second prize. It developed China’s first ASIL-D fully domestic safety controller, real-time risk quantification, active-suspension side-impact mitigation, a rear-window airbag and an “automaker-traffic police-hospital” integrated rescue model. It has been applied to 20 models with cumulative sales of 1.446 million units.

In addition, GAC’s participated L2-L4 safety governance project helped establish a full-lifecycle system covering pre-admission, in-process supervision and post-event traceability. Its participated BIW project features an AI-based body design system that generates concept schemes within 5 hours, with over 95% stiffness prediction accuracy and over 30% higher design efficiency; it has been applied to the second-generation GAC GS8, GAC ES9 and GAC All-new S7.

Looking ahead, GAC will uphold innovation-driven development, advance core technology breakthroughs and commercialization, and support high-quality development of China’s auto industry.

For further information about GAC, please visit: https://www.gacgroup.com/en or follow us on social.

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SOURCE GAC

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ScienceOra Demonstrates AI-Assisted Hydrogen-Production Catalyst Design Workflow at Tencent Global Digital Ecosystem Summit

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The workflow spans literature analysis, candidate design, experimental planning and industrial decision support, extending AI4S into materials research

SHENZHEN, China, Oct. 30, 2026 /PRNewswire/ — Wenge AI demonstrated an AI-assisted hydrogen-production catalyst design workflow supported by ScienceOra at the 2026 Tencent Global Digital Ecosystem Summit. The demonstration showed how AI for Science (AI4S) can connect literature analysis, catalyst candidate design, experimental planning and industrial decision support, helping materials researchers translate scientific evidence into actionable research plans.

ScienceOra is Wenge AI’s intelligent research decision platform, built on the ScienceOne Scientific Foundation Model. For specialist research tasks such as materials development, the platform brings together scientific models, professional literature, research data and tools to support information access, research-plan development and scientific decision-making.

From literature analysis to catalyst candidate design

The demonstration focused on the design of a high-entropy alloy catalyst for the alkaline hydrogen evolution reaction. To address the need for high activity and durability, ScienceOra searched professional literature and drew on published research methods and elemental properties to support the development of candidate designs. It also cross-checked optimization proposals against relevant literature, providing researchers with references that could be reviewed and verified.

Rather than simply generating material formulations, the workflow connects documentary evidence, materials knowledge and specific design objectives to support more targeted analysis of candidate solutions. Researchers remain responsible for assessing scientific validity and determining subsequent research directions.

From experimental planning to industrial decision support

For experimental planning, ScienceOra can assist in developing research protocols around candidate designs, helping researchers organize experimental variables and producing testing standard operating procedures (SOPs) and related reference information for subsequent validation.

For industrial applications, the platform can also support comparative analysis across dimensions such as the feasibility of scaled hydrogen production, performance at industrially relevant current densities, durability, raw-material availability and compatibility with mass-production synthesis processes. It can then assist in establishing decision priorities, screening criteria and process-improvement recommendations.

Candidate designs, experimental plans, process recommendations and references can be consolidated into a structured research report, helping R&D teams assess scientific evidence alongside engineering constraints. AI provides analytical and decision support, while experimental testing and scientific validation remain essential parts of materials research.

Previously disclosed collaboration reports design efficiency and activity improvements

In a previously disclosed industry–research collaboration on hydrogen-production catalyst design, ScienceOra supported literature analysis and research-plan development. The collaboration reported a 38% improvement in catalyst activity and reduced the design stage from several months to 30 minutes. The case illustrates the potential of domain-specific AI to connect scientific literature, research design and engineering requirements.

ScienceOra was recently made available on Tencent WorkBuddy, with an initial offering of more than 30 research expert agents and skills covering literature analysis, research hypotheses, plan design, modeling and simulation, validation analysis and research communication. The conference demonstration further illustrated how ScienceOra can be applied to specialist materials research, as AI4S moves beyond general information processing toward support for research workflows and industrial R&D decision-making.

For more information, visit https://www.scienceone.ai/portal/.

About Wenge AI

Wenge AI (1956.HK) is a provider of artificial intelligence technology and service platform products for enterprises. With self-developed large models as its core, the company helps enterprises build practical intelligent platforms and applications. Founded by a team of AI scientists from the Chinese Academy of Sciences, Wenge AI has deep technological expertise in large models, cognitive intelligence and complex-system modeling, and is committed to advancing AI from technological capabilities to enterprise-level applications.

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SOURCE Wenge AI

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Cake Digital Bank Wins Gold at Qorus-Infosys Finacle Banking Innovation Awards 2026

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ROME, Oct. 31, 2026 /PRNewswire/ — Cake Digital Bank, a digital-only bank from Vietnam, has won Gold at the Qorus-Infosys Finacle Banking Innovation Awards 2026 for its initiative, “Reinventing Financial Experiences Through an AI-First Banking Model.” Cake was the only financial institution from Vietnam recognized at this year’s awards.

The winners were celebrated in Rome, Italy, during Infosys Finacle Conclave 2026. The 13th edition of the awards attracted 538 submissions from 206 financial institutions across 68 countries, with 37 institutions recognized across ten award categories. The selection process combined voting by industry peers with evaluation by an expert jury of 81 senior banking executives.

The award-winning institutions included leading international banking names such as Santander, Commonwealth Bank, DBS, Maybank, and CaixaBank, reflecting the global scope and competitive landscape of the awards.

John Berry, Chairman of Qorus, observed that the banking industry is entering a new era in which AI is becoming integral to innovation, transforming initiatives and expanding the possibilities of financial services.

Building an AI-First Banking Model from the Ground Up

As artificial intelligence becomes increasingly central to banking innovation, financial institutions face a growing challenge: translating technological capabilities into better customer experiences, greater operational efficiency, and sustainable business performance.

Cake’s AI-first approach reflects this industry shift while taking a different starting point. Rather than integrating AI into established banking processes, Cake was built as a digital-only bank from the outset, embedding AI, data, and automation into its technology architecture, operating model, and customer journeys.

This greenfield foundation has enabled Cake to develop an integrated AI-first banking model, where technology supports how the bank makes decisions, manages operations, and delivers financial services at scale.

Supported by its independently developed core banking and card management systems, Cake applies AI across the banking value chain, from customer onboarding, credit assessment, and fraud prevention to risk management, customer service, and personalized financial recommendations.

Beyond operational efficiency, Cake has also invested in localized AI capabilities designed specifically for Vietnamese users, enabling more accessible, responsive, and personalized financial experiences.

Scaling Growth with Efficiency and Sustainable Business Performance

Nearly six years since its launch, Cake has grown to serve more than 8 million customers, demonstrating the scalability of its branchless digital banking model.

Cake achieved positive EBITDA in Q3 2024, just 3.5 years after launch, marking a significant milestone in demonstrating the viability of its digital-only banking model. The bank subsequently recorded 173% year-on-year revenue growth in 2025, followed by a further 121% growth in 2026, reflecting sustained business momentum as it continues to scale. Meanwhile, average revenue per user (ARPU) increased from USD 12 in 2024 to USD 44 in 2026, highlighting Cake’s ability to generate greater value from its growing customer base.

Beyond customer acquisition, Cake’s growth strategy increasingly focuses on deepening customer relationships and expanding the range of financial needs served through its platform and partner ecosystems. This approach reflects the bank’s evolution toward a mature digital banking model, where scale is complemented by stronger customer engagement, operational efficiency, and long-term business sustainability.

Nguyen Huu Quang, CEO of Cake Digital Bank, said:

“Winning Gold at the Qorus-Infosys Finacle Banking Innovation Awards is a meaningful international recognition of Cake’s AI-first banking model. From the beginning, our ambition has been to build a digital bank that combines technological innovation with sustainable business performance, while making financial services simpler, more accessible, and more relevant to customers. This recognition reinforces our commitment to delivering world-class banking experiences for Vietnamese users and continuing to advance our AI-first capabilities.”

The Gold Award marks another milestone in Cake’s development as a next-generation AI-first digital bank. It also demonstrates how a banking model developed and scaled in an emerging market can deliver meaningful customer and business outcomes, contributing practical perspectives to the global conversation on the future of digital banking.

In September 2026, Cake was also named “Vietnam’s Best Digital Bank” by Euromoney under its Group Level Banking Awards, further recognizing the bank’s progress in strategy, technology, and business performance.

About the Qorus-Infosys Finacle Banking Innovation Awards

The Qorus-Infosys Finacle Banking Innovation Awards are jointly organized by Qorus, a global association for retail financial institutions, and Infosys Finacle, a digital banking solutions provider. Now in their 13th edition, the awards recognize innovative initiatives and banking models that deliver meaningful impact across the global financial services industry.

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SOURCE Cake Digital Bank

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