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TIER IV to showcase integrated AI, data, and computing solution for SDVs at Automotive World 2026

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TOKYO, Aug. 26, 2026 /PRNewswire/ — TIER IV, the pioneering force behind open-source software for autonomous driving, will showcase a solution for software-defined vehicles (SDVs) that integrates AI, data, and computing at Automotive World 2026, to be held at Makuhari Messe from September 9 to 11, 2026. As part of its exhibition, TIER IV will introduce the autolabeling function of its Co-MLOps platform, a data-sharing platform, as well as its reference E2E AI model, an end-to-end (E2E) autonomous driving AI model developed using data processed through the platform. The demonstration will run the reference E2E AI model on an automotive computer, showcasing an integrated SDV solution that covers the entire process, from data collection and processing to the development of the E2E autonomous driving AI model and its deployment on an automotive computing platform.

Toward the development of autonomous driving systems for passenger vehicles

As the use of AI in autonomous driving technology continues to advance rapidly, high-quality and diverse datasets with accurate labeling are becoming increasingly important for enabling AI to correctly interpret its surroundings. Equally important is an efficient framework for developing autonomous driving AI models using these datasets. To deploy autonomous driving AI models in mass-produced vehicles, including passenger vehicles, it is also essential to run these models efficiently on automotive computing platforms.

To accelerate the development of autonomous driving AI, TIER IV launched the Co-MLOps platform in January 2024 and has been working with partners to collect and share driving data. TIER IV is working toward an integrated SDV solution that combines AI, data, and computing by automatically labeling driving data collected through the platform, efficiently developing the E2E autonomous driving AI model using the labeled data, and establishing an environment for deploying the model on an automotive computing platform.

Key features of the autolabeling function

Using driving data as training data for autonomous driving AI models requires the collection of large volumes of driving data and accurate labeling to enable AI to correctly interpret the data. The autolabeling function automatically labels a wide range of objects and background elements in driving data, including vehicles, pedestrians, road surfaces and structures, so that they can be accurately recognized by AI.

The function can generate millions of labels instantly and with consistent quality, enabling efficient data processing even when new regions or sensors are added or the volume of data increases. By automating the enormous amount of labeling work that has traditionally been performed manually, the function is expected to reduce development costs and accelerate the development of autonomous driving AI models.

To improve the accuracy of autonomous driving AI models, TIER IV supplements difficult-to-collect driving data, such as rare scenarios directly associated with collision risks and data from adverse weather conditions, with synthetic data generated using NVIDIA Cosmos. The autolabeling function is also used to label this generated data.

For more details on the autolabeling function and the use of NVIDIA Cosmos to supplement driving data, please see TIER IV’s tech blog, Building a dataset foundation for autonomous driving with NVIDIA Cosmos.

Key features of the reference E2E AI model

The reference E2E AI model does not rely on high-definition maps and uses only images captured by automotive cameras to perform a range of functions, from a bird’s-eye-view understanding of the surrounding environment to trajectory generation, using a single neural network. The model supports 3D road and object recognition, the generation of occupancy maps that determine whether obstacles are present in each cell when the environment captured by camera images is divided into a grid, and vehicle trajectory prediction. Its architecture is also well suited to automotive computing, making it easier to deploy on actual system-on-chips.

The model is developed through an agentic AI-driven development process. Humans specify what to build, while an AI agent takes the lead in developing the E2E autonomous driving AI model, incorporating automatically labeled driving data, data transformation and cleansing, implementation optimization, and model management. The agent autonomously runs the cycle of training, evaluation, and improvement. By having agentic AI lead the development process, the model is designed to improve development efficiency and enable low-cost, rapid prototyping of autonomous driving AI models.

TIER IV is continuing to develop the reference E2E AI model and plans to make it available to partners participating in the Co-MLOps project.

Demonstration at Automotive World 2026

TIER IV will demonstrate technology that automatically labels various objects and background elements in driving data using the autolabeling function of the Co-MLOps platform. The demonstration will also run the reference E2E AI model, developed using the labeled driving data, on an NVIDIA Jetson Orin, where the model will use only images from automotive cameras to perform the entire process from a bird’s-eye-view understanding of the surrounding environment to trajectory generation.

By integrating large-scale driving data collection and processing through the platform with the continuous development and improvement of the E2E autonomous driving AI model and its deployment on the automotive computing platform, TIER IV is advancing the development of an SDV solution designed to support automakers and suppliers in the development of autonomous driving systems for mass production in passenger vehicles.

About TIER IV

TIER IV stands at the forefront of deep tech innovation, pioneering Autoware, open-source software for autonomous driving. With a comprehensive suite of platforms and services built around Autoware, TIER IV provides everything from software development and vehicle procurement to operational support. Through the Autoware ecosystem, TIER IV works with partners worldwide to shape the future of intelligent vehicles with open-source software, aiming to create mobility that is safer, more sustainable, and accessible to all.

Media contact
pr@tier4.jp 

The word marks and logos of TIER IV are trademarks or registered trademarks of TIER IV, Inc. in Japan and other countries. All other company names, product names, service names, and logos referenced herein are trademarks or registered trademarks of their respective owners.

Autoware is a registered trademark of the Autoware Foundation.

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SOURCE TIER IV, Inc.

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Jin Jiang Hotels and Trip.com Sign Strategic MOU to Deepen ASEAN Engagement

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SINGAPORE, Aug. 26, 2026 /PRNewswire/ — A subsidiary of Jin Jiang Hotels, a leading global hospitality company, has established a strategic collaboration with the leading international travel service provider Trip.com Travel Singapore Pte. Ltd., to deliver value to travelers visiting the ASEAN region. The two companies signed a three-year MoU that will see them cooperate in leveraging their respective ecosystems and platform strengths across ten ASEAN nations — Singapore, Thailand, Malaysia, Indonesia, Vietnam, the Philippines, Cambodia, Myanmar, Laos, and Brunei — to jointly drive brand equity and further develop hospitality ecosystems in the ASEAN region.

Building a New Model for ASEAN Hospitality Collaboration

This long-term strategic alliance is rooted in resource exchange, shared strengths, and co-marketing. A key highlight is the introduction of a unified fixed commission structure for participating properties of the subsidiary of Jin Jiang Hotels across the ASEAN nations covered by the MoU. This standardized framework will replace traditional, volatile floating commission models to improve commercial transparency, enhance cost predictability, and provide a more stable foundation for sustainable, higher-certainty growth for the hotel franchisee.

Accelerating a New ‘Tourism + Accommodation’ Ecosystem

The cooperation will also leverage the two companies’ complementary strengths across the travel value chain to create a seamless, full-service loop spanning cross-border booking, destination activities, localized stays, and after-sales support. The powerful synergy between the offline hospitality portfolio of the subsidiary of Jin Jiang Hotels and Trip.com’s online global traffic will address the critical pain point of overseas customer acquisition for ASEAN hotels, significantly boosting local occupancy rates and diversifying the guest mix through an integrated, one-stop solution.

Deepening their collaboration through joint marketing and resource integration will enable the companies to build an integrated “tourism + accommodation” ecosystem across ASEAN aimed at strengthening tourism connectivity, supporting local hospitality ecosystems, and delivering value to travelers.

In parallel to this strategic cooperation, the subsidiary of Jin Jiang Hotels has established a robust localized footprint in Southeast Asia, deploying dedicated development and operations teams in Malaysia, Indonesia, and Vietnam. By leveraging its high-quality standards, intelligent systems, and the GPP (Global Purchasing Platform), the subsidiary of Jin Jiang Hotels is smoothly adapting to regional habits while driving local economic synergy. This infrastructure will ultimately accelerate the company’s tailored, brand-led, and scalable international development, providing support for upcoming property openings across Southeast Asia and driving growth with a deeper localized presence.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/jin-jiang-hotels-and-tripcom-sign-strategic-mou-to-deepen-asean-engagement-302860143.html

SOURCE Jin Jiang Hotels

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CARD91 Introduces Five-Point Credit Lifecycle Consistency Framework for Credit Line on UPI

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The issuer-readiness framework focuses on keeping credit records aligned across different facilities, payments, refunds, reversals, repayments and EMI conversions

BENGALURU, India, Aug. 26, 2026 /PRNewswire/ — CARD91, a payments infrastructure company, today introduced its Credit Lifecycle Consistency Framework, a five-point industry framework designed to help banks assess their operational readiness for Credit Line on UPI (CLOU).

The framework focuses on ensuring that credit limits, outstanding balances and customer records remain accurate as payments move through refunds, reversals, repayments, EMI conversions and other lifecycle events.

The announcement comes as UPI enters its second decade. According to the Press Information Bureau, the network now connects 741 live banks and processed 2,365.8 crore transactions worth ₹29.87 lakh crore in July 2026. These figures represent the overall UPI network and demonstrate the operating scale within which UPI-based credit is developing.

The RBI’s Fourth Amendment Directions on Credit Facilities, issued on June 23, 2026, clarified that the prudential treatment of UPI-linked credit must be determined by the nature of the underlying credit facility—not by the payment channel, instrument or technology used. The facility’s terms must also form part of the bank’s credit policy and comply with applicable regulations.

A successful UPI payment is only one event in a continuing credit relationship. Subsequent refunds, reversals, repayments or EMI conversions can alter the customer’s available credit, outstanding dues and repayment schedule.

“Speed gets the customer through checkout, but consistency determines whether they trust the credit product,” said Ajay Pandey, CEO, CARD91. “Each payment and subsequent credit event must receive the correct treatment for the underlying facility so that the bank and the customer continue to see the same financial position.”

The Credit Lifecycle Consistency Framework

1. Apply facility-specific credit treatment

Interest-free, interest-bearing, fixed-term and revolving facilities may require different treatment of limits, repayments, refunds and outstanding balances.

2. Connect payment and credit records

UPI transactions and subsequent credit events should remain connected with the appropriate customer account. Refunds, reversals and repayments must update the relevant records accurately.

3. Align controls with bank policy

Transaction value, velocity and merchant-category controls—as well as portfolio actions such as limit changes and suspensions—should reflect the bank’s credit policy and customer consent.

4. Reconcile repayments and EMI conversions

Repayments should be applied to the correct account, while EMI conversions should update the instalment schedule without duplicating the outstanding amount.

5. Maintain customer visibility and traceability

Available credit, outstanding dues and repayment obligations should remain consistent across applications, statements and alerts. Disputes, delayed reversals and manual corrections should follow a documented and reviewable process.

Lifecycle consistency means updating the appropriate credit records as each event is processed. The framework does not prescribe a universal processing timeframe or replace RBI requirements and individual bank credit policies.

For example, if a customer uses ₹10,000 from a ₹50,000 revolving credit line, the available credit would ordinarily fall to ₹40,000. Any subsequent refund, reversal, repayment or EMI conversion must update the relevant records according to the facility’s terms. A fixed-term loan may require different treatment, reinforcing why payment processing cannot be separated from the underlying credit product.

Where CLOU is delivered through a digital-lending journey, the RBI Digital Lending Directions, 2025 may also apply to credit assessment, disclosures, servicing, repayment, grievance redressal and credit-information reporting.

CARD91’s perspective is informed by its work on Nimbus, its Credit Line Management System. Nimbus supports different credit structures and connects credit lifecycle management with CARD91’s NPCI-certified UPI 2.0 switch. Its publicly described capabilities include transaction and portfolio controls, consent management, EMI conversion, reconciliation and dispute resolution.

Technology should not determine lending policy or replace regulatory judgement. Its role is to help keep bank policy, transaction records and customer credit positions aligned.

As credit becomes an additional funding source on UPI, its next trust test will begin after the payment: whether every subsequent credit event leaves the bank and the customer with the same financial truth.

About CARD91

CARD91 is a payments and onboarding risk infrastructure provider, enabling regulated entities to launch and scale customer programs with ease. The platform supports seamless onboarding journeys, fraud detection, credit decisioning, card issuance across credit, prepaid, and forex, and UPI stack capabilities across issuance and acquiring.

Through its NPCI-certified capabilities and technology stack, CARD91 helps institutions design bespoke customer payment programs and market them with speed, security, and a seamless digital experience. Built by a team of bankers and technologists and proudly made in India, CARD91 operates across key financial hubs, including Mumbai, Bangalore, Delhi, and Chennai.

For more information, visit https://card91.io/ or contact sales@card91.io.

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Silver Palace Nominated for gamescom Best Mobile Game Award as New Trailer Debuts at Opening Night Live

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Silver Palace makes its gamescom debut, inviting players to vote and embark on a mysterious detective adventure.

SINGAPORE, Aug. 26, 2026 /PRNewswire/ — Elementa’s Unreal Engine 5-powered open-world action RPG Silver Palace, has been shortlisted for this year’s gamescom Best Mobile Game award. Currently in development for PC, mobile, and PlayStation, players can vote for Silver Palace through the official gamescom website and experience the game firsthand at Booth C021 in Hall 6 at the Cologne Exhibition Centre, Germany.

With the official opening of gamescom, Silver Palace also unveiled a brand-new promotional trailer during Opening Night Live (ONL). The trailer culminates in a 15-second post-credit teaser, offering players their first glimpse of the game’s new multiplayer gameplay and hinting at exciting new content to come.

Trailer: https://youtu.be/hDHFxsh02aE

From Mysterious Investigations to Brutal Battles

The new trailer opens in a dimly lit, atmospheric operating room. Beneath the muted glow of the lights, doctor Firtho carefully examines a mysterious corpse formed from Silverium. The scene then shifts to a sprawling city of winding streets and hidden corners, following the female Detective as she explores a neighbourhood filled with unknown dangers. As her investigation unfolds, glimpses of characters including Ashley, Gratia, and Red Rose appear alongside dynamic combat sequences and stylish finishing moves. Highlights from the Vita et Mors and Cinderella boss encounters are also woven throughout. The trailer repeatedly returns to the operating room between moments of action, where Firtho continues her examination with quiet focus. As the battle sequences come to a close, the camera once again pans back to the operating room. The Silverium corpse suddenly fractures, sending shimmering droplets scattering through the air until the silver substance spreads across the entire operating room.

After a brief freeze-frame, the trailer unveils a brand-new multiplayer combat experience. The female Detective and other characters are shown venturing deeper into mysterious rooms, each exploring alone as strange creatures suddenly emerge from the shadows. Drawing their weapons, they face the unexpected threats head-on and fight their way through a series of deadly encounters. The trailer concludes with the words “House of Greed” emerging in a deep crimson hue, bringing this mysterious and perilous adventure to an intriguing close, leaving players with plenty of questions about what awaits them next.

SOURCE Elementa

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