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Caspia Technologies Details Impact of Its CODAx AI-Assisted Security Linter

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CODAx Found 16 Security Vulnerabilities in Popular OpenRISC CPU Core
Unique Program Allows Designers to Test CODAx for Free

GAINSVILLE, Fla., March 5, 2025 /PRNewswire/ — Caspia Technologies, a pioneer in the development of AI-enhanced security verification solutions for advanced SoCs and systems, today announced details of the impact of its security linter called CODAx. The company reported that 16 security violations were found in a popular OpenRISC CPU core. This open-source core has been deployed in a variety of embedded applications, including telecommunications, portable media, home entertainment, and automotive.

CODAx uses over 150 security rules to perform comprehensive static checking on design RTL to flag code that can lead to security vulnerabilities. The CODAx rules benefit from Caspia Technologies security LLMs trained with the latest vulnerabilities, threat models and security AI agents. The easy-to-use tool analyzes the control and data-path portions of a design with a large and growing database of security rules. CODAx provides more secure and robust end products while enabling more efficient design flows with reduced time-to-market and lower secure development costs.

Approximately 32,000 lines of code in the OpenRISC CPU core were analyzed. CODAx detected six violations of control path security directives and 10 violations of data-path security directives. In contrast, the golden reference linter currently in use throughout the industry found only two of the 16 violations flagged by CODAx, illustrating the unique value of this new class of security linter. The complete analysis using CODAx took under 60 seconds.

Example vulnerabilities found include:

Insecure state encoding schemes and transitions for finite state machines in the design. This practice can make the state machines susceptible to fault injection attacks and improper leakage of sensitive information.Improper initialized data-path registers upon reset. If these registers are left uninitialized, their state becomes undefined when the design is first brought out of reset. During this vulnerable window, before the registers are explicitly initialized by the logic, the design operates in an insecure state, increasing the risk of exploitation.

Caspia Technologies is actively engaging with approximately seven leading semiconductor technology suppliers spanning industries such as wireless, AI, AMS, DSP, automotive, and processor platforms, to demonstrate the value of CODAx and subsequently strengthen the security portion of the development flow.

Today’s security issues are addressed manually. Implementing a CODAx solution will enhance the productivity of the security team while addressing vulnerability attacks before they happen. As a result, the entire design flow will be more efficient while reducing the costs for running security tests.

“CODAx is the first solution in a robust roadmap of solutions that enhances design security and product assurance across the entire electronic development and delivery flow,” said Dr. Mark Tehranipoor, Department Chair & Intel Charles E. Young Chair in Cybersecurity at the University of Florida, and co-founder of Caspia Technologies. “I am delighted with the strong interest we are seeing in the market for CODAx and the significant demonstration of capability we achieved with the OpenRISC CPU analysis.”

Unique New Access Program for CODAx

Caspia also announced the details of a new program to enable testing of CODAx on open-source designs free of charge.

Visit https://apps.caspia.ai/ in your web browser. You will find further information there on creating an account to access the platform.When logged in to the platform, users can run CODAx on various designs, including a RISC-V core and open-source hardware root-of-trust.The goal is to give users a feel for using the security tool and the rule-checks CODAx performs.Feedback from the community is welcome! Comments, questions, and additional assistance can be accessed by emailing support@caspiatechnologies.com.

About Caspia Technologies

Founded in 2020 and headquartered in Gainesville, Florida, Caspia Technologies is a privately held company that is pioneering a holistic, AI-enabled approach to chip and system security verification. Caspia’s founding team brings together over 75 years of experience in various fields of the semiconductor market, including design, fabrication, test, EDA development, and importantly security and trust. Caspia delivers security-focused solutions to both public and private customers to enhance electronic designs and microelectronics physical hardware assurance.
For more information visit https://caspiatechnologies.com/

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Silicon Valley Stars Gather for Dreame’s San Francisco Debut

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SAN FRANCISCO, April 25, 2026 /PRNewswire/ — Dreame Technology, a global high-end technology company, confirmed the guest lineup for DREAME NEXT, the company’s largest-ever international launch event, running April 27 to 30, 2026, in San Francisco. The roster brings together figures who have shaped the trajectory of autonomous driving, personal computing, and professional sports: Sebastian Thrun, Steve Wozniak, and Dwyane Wade will all attend.

The breadth of expertise on the guest list reflects the reach of DREAME NEXT itself. Over four days, Dreame will stage product launches across smart mobility, smart home appliances, personal devices, and premium personal care, the first time a single event from the company has spanned its full product ecosystem. The event is organized around five themed segments: Drive Next, Living Next, Connect Next, Self Next, and Humanity Next.

Over the course of the four-day launch event, DREAME NEXT will bring together leading voices from across technology, academia, investment, and innovation to explore the next stage of industry transformation. Discussions will center on how AI-driven applications are reshaping products from the ground up, whether the age of AI requires products to be fundamentally reimagined, how intelligent technologies will redefine the foundations of manufacturing productivity, and what the next decade of human technological evolution may look like.

Featured speakers include AI pioneer Sebastian Thrun (Google X, Udacity), tech futurist Robert Scoble (Microsoft), Meta design leader Julie Zhuo, AI strategist William Fong (Microsoft), and business veteran James W. Keyes (7-Eleven, Blockbuster). The lineup also features Turing Award winner David Patterson, NASA rocket scientist Sylvia Acevedo, Stanford GSB’s Yossi Feinberg, economist Barry Eichengreen, tech journalist Rebecca A. Fannin, engineering leader Jim Chen, and Fremont Mayor Emeritus Lily Mei, alongside former Google DeepMind AI researchers and the co-founders of Robot Launch. These global leaders will share insights on AI, technology, innovation, economics, and entrepreneurship.

Demonstrating Dreame’s growing global influence, the event will also welcome standout guests from beyond the technology sector, including Apple co-founder and personal computing pioneer Steve Wozniak; and three-time NBA champion Dwyane Wade.

The guests in attendance at DREAME NEXT reflect where the company is headed; that leaders from autonomous driving, personal computing, and professional sports are all in the same room for a single company’s launch event speaks to the scale and ambition of what Dreame is building. DREAME NEXT is not just a product launch but the opening chapter of the company’s next ten years.

Dreame’s product portfolio now spans categories that, until recently, belonged to entirely separate industries. DREAME NEXT is designed to demonstrate that these categories are connected by core technologies, including high-speed motors, intelligent algorithms, and bionic robotic arms, which are now being applied across smart mobility, personal devices, home appliances, and personal care. It represents not only the next generation of products and lifestyles, but also the beginning of Dreame’s vision for the next decade.

DREAME NEXT runs April 27 to 30, 2026, in San Francisco. Media, partners, and invited guests are welcome to attend.

Please stay tuned for the latest updates from the event through the official website or the social accounts on X: @DreameGlobal, Facebook: Dreame Tech, and Instagram: @dreame_tech.

About Dreame Technology

Founded in 2017, Dreame Technology is a global high-end technology brand built on a foundation of high-speed digital motors, intelligent algorithms, and bionic robotic arms. The company’s product portfolio spans smartphones, smart vehicles, smart home appliances, intelligent cleaning appliances, outdoor smart devices, and personal care, designed to simplify daily life and give users more time for what matters. Dreame operates in more than 120 countries and regions with over 6,500 offline stores and serves more than 42 million households globally. As of December 31, 2025, the company has filed more than 10,000 patents worldwide and holds over 3,000 granted patents.

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WisPaper Enables Parallel Scientific Exploration, Moving Research Beyond Sequential Workflows

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SINGAPORE, April 25, 2026 /PRNewswire/ — WisPaper, an AI-powered academic research agent, today introduced a new approach to scientific workflows that supports concurrent research execution. The development addresses a longstanding constraint in research—the reliance on sequential, step-by-step processes—by enabling multiple lines of inquiry to progress in parallel, allowing researchers to expand both the speed and scope of exploration.

Breaking the Limits of Sequential Research

Traditional research follows a linear structure, where literature review, hypothesis formation, experimentation, and validation are carried out sequentially. This model limits researchers to advancing a single direction, as each stage requires manual effort.

WisPaper shifts this structure by reducing dependencies between stages. Tasks that once required sequencing can now proceed more independently, allowing different research threads to move forward without waiting for earlier steps.

Enabling Concurrent Exploration

With this approach, WisPaper supports a more parallel mode of research. Researchers can initiate multiple hypotheses or problem statements simultaneously, while the system advances processes such as literature analysis, experimental setup, and result generation across these directions.

This enables a higher density of exploration within the same time frame. Instead of focusing on a single hypothesis over an extended period, researchers can evaluate multiple possibilities, compare outcomes, and adjust direction more efficiently.

Redefining the Researcher’s Role

As execution becomes less constrained by manual coordination, the role of the researcher shifts toward higher-level decision-making. Researchers can focus on defining questions, setting priorities, and interpreting results across multiple ongoing investigations.

This model mirrors how larger research teams operate, where parallel efforts are coordinated toward shared objectives. By enabling similar capabilities at the individual level, WisPaper expands how research can be structured and managed.

Implications for Knowledge Production

Parallel exploration introduces a different rhythm to scientific work. By allowing more research paths to be tested within a given period, it may influence how quickly new findings emerge, particularly in areas where validation is time-intensive.

As research workflows continue to evolve, approaches that balance depth with broader exploration may play an increasing role in shaping how knowledge is produced.

About WisPaper

WisPaper is an AI-powered academic research agent designed as a full-chain research accelerator. It supports literature retrieval, analysis, experiment design, execution, and paper writing within a unified workflow, helping researchers manage complex scientific tasks more efficiently across disciplines. For more information, visit http://wispaper.ai/?utm_source=news.

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Pony.ai Announces New Generation Autonomous Driving Compute Platform Built on NVIDIA DRIVE Hyperion

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GUANGZHOU, China, April 25, 2026 /PRNewswire/ — Pony AI Inc. (“Pony.ai”) (NASDAQ: PONY; HKEX: 2026) today announced its new generation autonomous driving domain controller, a high-performance compute system designed for both Pony.ai’s L4 autonomous driving platform and a broader set of customer applications across autonomous mobility. Developed in collaboration with NVIDIA, the new controller is built on the NVIDIA DRIVE Hyperion platform and powered by NVIDIA DRIVE AGX Thor with NVIDIA NVLink, supporting Pony.ai’s next phase of commercialization in robotaxis and its growing domain controller business.

The new system is designed to deliver significant gains in AI computing performance, energy efficiency and support for the latest AI models, while meeting core L4 requirements such as multi-sensor fusion, full-scenario perception and high-complexity scenario understanding. It is also engineered to further enhance safety redundancy, system robustness and deployment flexibility.

Pony.ai expects the new platform to support a portfolio spanning multiple compute tiers and cooling solutions, enabling deployment across a wide range of autonomous applications. With flexible single-chip and multi-chip configurations, the platform is expected to incorporate NVIDIA NVLink to enable high-speed, low-latency communication between the two DRIVE Thor system-on-a-chips (SoCs), achieving a combined maximum computing performance of 4000 FP4 TFLOPS.

“Our collaboration with NVIDIA has supported several critical milestones in Pony.ai’s autonomous driving journey,” said Dr. James Peng, Founder and CEO of Pony.ai. “The next-generation domain controller built on NVIDIA DRIVE Hyperion will be a key enabler for the continued evolution of our L4 autonomous driving products and help accelerate large-scale commercialization.”

“Autonomous driving systems are rapidly increasing in complexity, driving the need for scalable, high-performance compute platforms,” said Rishi Dhall, Vice President of Automotive at NVIDIA. “Pony.ai has been a long-standing NVIDIA DRIVE customer and ecosystem partner, and we’re pleased to see them build their next-generation domain controller on NVIDIA DRIVE Hyperion with DRIVE Thor accelerated compute to support advanced L4 autonomous driving applications.”

The new platform builds on a long-standing collaboration between Pony.ai and NVIDIA that began in 2017. In 2022, Pony.ai launched its in-house developed automotive-grade computing unit powered by single or multiple NVIDIA DRIVE AGX Orin SoC, which was deployed in its sixth-generation Robotaxis. In 2025, the company began mass production of the world’s first L4 Robotaxi domain controller equipped with four NVIDIA DRIVE AGX Orin SoCs. That controller now powers Pony.ai’s seventh-generation (Gen-7) Robotaxis and provides a strong foundation for scalable, fully driverless operations.

As one of the few L4 autonomous driving companies globally with full-stack, in-house capabilities across both software and hardware, Pony.ai brings deep expertise in domain controller design. Its software-hardware co-design approach enables system-level optimization across performance, safety and cost.

Over the past year, Pony.ai has seen growing demand for its automotive-grade domain controllers across low-speed delivery, robosweeping, logistics, mining, autonomous shuttles and other robotics and intelligent mobility applications. Shipments of its “Fangzai” domain controller in 2025 surged by more than 500% year over year. Customers are spread across dozens of countries, including Germany, the United Kingdom, South Korea, Japan, and Switzerland.

Building on Gen-7’s gains in cost efficiency, safety and reliability, Pony.ai has also achieved significant milestones in robotaxi commercialization, including unit-economics breakeven in two of China’s major metropolitan markets. The company aims to expand its robotaxi fleet to more than 3,000 vehicles and its geographic footprint to more than 20 cities globally by the end of 2026.

About Pony AI Inc.

Pony AI Inc. is a global leader in achieving large-scale commercialization of autonomous mobility. Leveraging its vehicle-agnostic Virtual Driver technology, a full-stack autonomous driving technology that seamlessly integrates Pony.ai’s proprietary software, hardware, and services, Pony.ai is developing a commercially viable and sustainable business model that enables the mass production and deployment of vehicles across transportation use cases. Founded in 2016, Pony.ai has expanded its presence across China, Europe, East Asia, the Middle East and other regions, ensuring widespread accessibility to its advanced technology.

Contact
Pony.ai: media@pony.ai

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