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• A native world model built from the ground up for embodied intelligence, Kairos 3.0-4B delivers exceptional physics-consistent deep understanding and cross-embodiment generalization, enabling a single “brain” to drive robots of multiple form factors.

• Kairos 3.0-4B leverages a unified “multi-modal understanding-generation-prediction” architecture for physical-level deep understanding, long-horizon dynamic interaction, precise action control, and long-horizon interaction — 7-minute coherent interaction videos set a new industry benchmark.
• As a lightweight 4B-parameter model, Kairos 3.0-4B outperforms mainstream embodied world models while delivering industry-leading inference efficiency. It achieves real-time edge generation on the THOR platform with a1:1.5 ratio of generation time to video duration, leading performance across both cloud and edge environments.

• Kairos 3.0-4B achieves top-ranking accuracy across multiple authoritative benchmarks. Furthermore, leveraging model capabilities and inference tooling, its inference speed is 72 times faster than Cosmos 2.5, setting a new global performance record for embodied world models.

SHANGHAI, CHINA – Media OutReach Newswire – 13 March 2026 – ACE ROBOTICS announced the open-source release of Kairos 3.0-4B, the industry’s first native world model for embodied intelligence to realize unified “multi-modal understanding-generation-prediction” within a single architecture. As the technical cornerstone of the company’s “Human-Centric” ACE Embodied Intelligence R&D Paradigm, Kairos 3.0-4B is designed from the ground up for real-world robotic operation — integrating physical laws, human behavior, and real robot actions to deliver physics-consistent deep understanding of the real world.

The prevailing approach to embodied world models has largely involved retrofitting general-purpose large language or vision models with motion interfaces. Kairos 3.0-4B takes a fundamentally different path. Rather than appending motion capabilities onto existing model architectures, it is built from the architectural level around the fundamental physical and causal laws that govern real-world environments, constructing a unified world-understanding framework capable of cross-embodiment generalization. By embedding causal reasoning chains directly into its decision-making process, the model transcends behavioral imitation and achieves what ACE ROBOTICS defines as physical-level deep understanding — enabling robots to not only know what to do, but to understand why. Its core breakthrough lies in the deep integration of three categories of data: real robot interaction data, structured human behavioral data, and chain-of-thought reasoning data, effectively breaking down multi-source data barriers and significantly improving the reuse efficiency of real-world data.

A landmark achievement of this release is Kairos 3.0-4B’s real-time edge deployment capability. Deployed on the NVIDIA Jetson Thor T5000 platform at 517 TFLOPs, it is the world’s first embodied world model to achieve real-time generation on edge hardware — achieving a 1.5x faster-than-real-time generation speed on the THOR platform — and the first capable of directly driving physical robot bodies for real-world task execution through native edge deployment. The model issues full-body control commands spanning upper limbs, fingers, and lower limbs without intermediate control layers, enabling robots to move from “capable of performing” to genuinely “capable of working.”

Kairos 3.0-4B also delivers a breakthrough in long-horizon interaction. By combining its unified architecture with Agent-based hierarchical planning and a self-reflective iterative optimization mechanism, the model generates coherent future-state predictions up to 7 minutes in length while maintaining full scene coherence and physical fidelity throughout — setting a new industry benchmark for long-horizon embodied interaction and opening new pathways for embodied intelligence training and deployment.

On the A800 GPU benchmark, Kairos 3.0-4B’s inference speed surpasses NVIDIA Cosmos 2.5 by 72 times, setting a new global performance record for embodied world models. This performance is delivered with a lightweight footprint of just 4B parameters and 23.5GB of VRAM — a fraction of Cosmos 2.5’s 70.2GB requirement — demonstrating that efficiency and capability need not be in tension and fundamentally challenging the assumption that larger parameters are a prerequisite for superior performance. The model has also achieved top rankings across three authoritative global benchmarks: PAI-Bench-robot, co-developed by Georgia Tech and CMU; WorldModelBench-robot TI2V, introduced at CVPR 2025; and NVIDIA GEAR Lab’s DreamGen Bench, outperforming all evaluated models on physical consistency and instruction-following metrics.

Supporting seamless cross-embodiment deployment across single-arm, dual-arm, and dexterous hand configurations with no additional per-embodiment training required, Kairos 3.0-4B is compatible with major hardware platforms including Agilex PIPER, Unitree G1, and Galaxy G1. Kairos 3.0-4B is now available on Github (https://github.com/kairos-agi/kairos-sensenova) and Hugging Face (https://huggingface.co/kairos-agi/kairos-sensenova-common).

Hashtag: #ACEROBOTICS

https://www.linkedin.com/company/acerobotics/posts/?feedView=all&viewAsMember=true｜
https://x.com/ace_robotics

The issuer is solely responsible for the content of this announcement.

About ACE ROBOTICS – Equipping robots with intelligent “brains” and engaging “souls”

ACE ROBOTICS is a pioneering robotics company dedicated to advancing the field of embodied intelligence. Founded by SenseTime co-founder Wang Xiaogang, the company has brought together a team of young, globally scarce AI scientists and industry experts to focus on embodied intelligence. Through breakthrough technological innovations and deep insights into embodied intelligence scenarios, we aim to empower robots with the ability to autonomously understand and explore the physical world, thereby accelerating their commercial implementation.

The company pioneered the ACE R&D paradigm and built a vision-based “environmental data engine, real-world cognition, embodied interaction generalization” technology chain. Using full spatiotemporal and multi-perspective environmental capture as its engine, along with Kairos 3.0 – China’s first open-source and commercially applicable world model – plus the Embodied Foundation Model as its technical backbone, ACE ROBOTICS addresses core industry challenges such as data scarcity, common sense gaps, poor generalization, and limited versatility. Simultaneously, the company unveiled its flagship A1 Embodied Super Brain Module, accelerating the large-scale commercial deployment of embodied intelligence across diverse scenarios.

ACE ROBOTICS is both a technology pioneer and an ecosystem builder. Through strategic cooperation with top hardware manufacturers, cloud service providers, and vertical scenario partners, we have broken through the “model-hardware-scenario” industrial deadlock, providing standardized and customized solutions that are driving the development of China’s embodied intelligence industry.

Industry insights indicate that ride-hailing platforms are gradually expanding beyond core passenger transport, with increased focus on predictive safety capabilities, AI-enabled customer support, embedded payment systems, and more structured regulatory engagement.

MANILA, PHILIPPINES – Media OutReach Newswire – 11 March 2026 – 2026 may be the year that more ride-hailing apps will expand their operations to become mobility superapps, according to industry experts who have analyzed the movements of multiple apps across the board. The analysis suggests that this shift will be driven by multi-service bundling, predictive safety features, boosted AI integration, cashless payment options, and coordination with regulators.

“Our global market review found that the way forward for ride-hailing platforms is to evolve into mobility superapps,” Evgenia Matrosova, inDrive Chief Ride-Hailing Officer, said. “Users want convenience more than anything, where diverse mobility solutions, proactive safety functions, and seamless digital payments can all be found in one platform. Integrated services won’t just push innovation forward; they signify reliability and flexibility on the road and beyond.”

#1 Ride-hailing apps may begin venturing into adjacent services.

More ride-hailing apps may begin expanding into adjacent mobility services this year due to an increase in global demand for integrated transport services. For instance, market intelligence firm Sensor Tower listed inDrive and other ride-hailing platforms among the most downloaded travel apps in 2025—revealing global demand for their expansion into adjacent travel services.

Zooming into the platforms’ service expansion, industry experts are optimistic about the potential in food delivery. Data shows that restaurants worldwide are considering working with delivery platforms that offer them more control over their profit margins.

A separate Ken Research study also revealed that online travel booking has also enjoyed similar local growth, with a projected revenue of Php 50 billion. This could boost pre-booked airport pickups’ popularity, with travelers viewing this as a much-needed convenience.

These all reveal one thing: the lines between passenger transport and adjacent mobility services are beginning to blur. Thus, ride-hailing apps may begin venturing into adjacent mobility services to create an all-in-one experience for users.

#2 Safety systems are slowly shifting from protection to prediction

At present, in-app safety features are often limited to real-time monitoring, emergency hotline buttons, and a speed dial to the platform’s 24/7 support. However, industry experts forecast that ride-hailing apps may begin using AI-powered analytics and risk modeling for predictive road safety measures.

For instance, the Forum of European National Highway Research Laboratories says that AI can collect traffic data, weather feeds, and other key information to predict collisions and recommend alternate routes. Predictive safety features like this can help ride-hailing apps move past interventionary measures and proactively protect their drivers and passengers.

#3 AI to enhance the in-app customer experience

Industry experts also say that mobility services may continue leveraging AI to improve customer experience. There are also early indicators that ride-hailing apps may experiment with using human-like AI voices in their customer support systems. AI may also be used in developing personal mobility agents that manage drivers’ schedules and earnings and intervene during emergencies.

With ride-hailing platforms considering venturing into food delivery, they may use AI to simulate customer interactions. Large language models can simulate dialogue-based ordering, allowing users to verbally dictate their orders or send them via chat platforms like WhatsApp. Not only would this speed up the delivery process, but it would also cater to users who prefer personal interactions.

#4 Ride-hailing apps eyeing seamless in-app payment systems

Cashless payment options, such as e-wallets and online bank transfers, are gaining popularity among Filipino consumers. A Bangko Sentral ng Pilipinas report found that 57.4% of Filipinos’ retail transactions were paid online. This creates an opportunity for ride-hailing companies to make their payment schemes more seamless. They may consider embedding cashless payment options in their apps, which can automatically deduct their transaction from their attached online banking and e-wallet accounts.

inDrive’s internal research shows that Filipino commuters are also price-sensitive, often allocating tight budgets to their transportation expenses. This consumer attitude could pave the way for ride-hailing companies to install in-app wallets. These facilitate better online budgeting and accommodate users who prefer cash.

#5 Ride-hailing apps expected to continue to uphold price fairness

Strict regulatory compliance has always influenced the dynamics of the ride-hailing industry. In particular, the Land Transportation Franchising and Regulatory Board has been staunch in implementing its fare matrix. Just last December, the regulator imposed surge caps to maintain affordable holiday fares—underscoring its commitment to keeping prices affordable for passengers.

These trends paint a picture of what could come next for the ride-hailing industry this year. With these in mind, inDrive will continue to uphold transparency, safety, and inclusivity for drivers and passengers alike. For more updates on inDrive’s initiatives this year, visit www.inDrive.com or follow @inDrive.ph on social media.

Hashtag: #inDrivetrends #MobilityPhilippines

https://indrive.com/en-my

The issuer is solely responsible for the content of this announcement.

About inDrive

inDrive is a global mobility and urban services platform. The inDrive app has been downloaded over 400 million times, and has been named the second most downloaded mobility app for the third consecutive year. In addition to ride-hailing, inDrive provides an expanding list of services, including intercity transportation, delivery, and financial services. In 2023, inDrive launched New Ventures, a venture and M&A arm.

inDrive operates in 1065 cities in 48 countries. Driven by its mission of challenging injustice, the company is committed to having a positive impact on the lives of one billion people by 2030. It pursues this goal both through its core business, which supports local communities via a fair pricing model; and through the work of its impact programs.

For more information visit www.inDrive.com

South Korea’s overseas shipments rose sharply during the first 10 days of March, reflecting strong global appetite for semiconductors and signalling renewed momentum in the country’s export-driven economy.

Preliminary customs data released in Seoul showed exports climbed 55.6 per cent compared with the same period a year earlier. The jump was led primarily by robust semiconductor demand, reinforcing the technology sector’s role as the backbone of the country’s trade performance and a key barometer for global electronics markets.

The early-month figures indicate shipments reached about $18 billion during the 10-day period, while imports also increased, lifting overall trade activity. Officials said the growth was supported by sustained demand for memory chips used in artificial intelligence servers, data centres and high-performance computing systems.

Semiconductors remained the dominant driver. Chip exports surged as technology companies expanded orders for advanced memory products and high-bandwidth chips required for generative AI infrastructure. South Korea hosts two of the world’s largest memory chipmakers, Samsung Electronics and SK hynix, whose production capacity places the country at the centre of global supply chains for dynamic random-access memory and NAND flash.

Strong demand from the United States and China contributed significantly to the export expansion. Electronics manufacturers in both markets have increased purchases of memory chips and advanced components as artificial intelligence applications, cloud computing platforms and next-generation consumer devices accelerate data processing requirements.

Industry analysts say the sharp rise in early-month shipments reflects a broader recovery in the global semiconductor cycle after a downturn that affected the industry in 2023. Chip prices have firmed as inventories declined and new demand from AI-focused hardware reshaped procurement strategies across the technology sector.

Trade officials in Seoul noted that semiconductors accounted for a large share of the growth during the first 10 days of March. Automotive shipments, petrochemical products and machinery also contributed to export activity, though their gains were more moderate compared with the surge in chip sales.

The semiconductor boom has become a defining feature of South Korea’s export structure. Memory chips alone represent roughly one fifth of the country’s overseas shipments in typical years, meaning fluctuations in global technology demand can quickly influence trade balances and economic growth.

Government economic planners have closely monitored export performance following a prolonged period of volatility in global trade. Geopolitical tensions, supply chain adjustments and shifts in consumer electronics demand have created uneven patterns in the technology sector. Yet the current rise in shipments suggests the industry is entering a new phase of expansion driven by artificial intelligence infrastructure.

Artificial intelligence computing has reshaped the semiconductor landscape, requiring larger volumes of advanced memory chips capable of handling massive data workloads. Companies building AI servers and graphics processors rely heavily on high-bandwidth memory, a specialised product where South Korean manufacturers hold technological advantages.

SK hynix has emerged as a major supplier of such components to global technology companies developing AI hardware. Samsung Electronics has also increased investment in next-generation memory technologies, seeking to expand its share of the rapidly growing market.

Export growth during the early days of March also reflects the continuing strength of South Korea’s manufacturing ecosystem. The country’s industrial clusters integrate chip fabrication, electronics assembly and advanced materials production, enabling manufacturers to respond quickly to surging global demand.

Trade analysts caution that early-month figures can fluctuate because of shipping schedules and the number of working days. Nonetheless, the scale of the increase highlights the powerful influence of semiconductor demand on the country’s export trajectory.

Data from previous months already pointed to an improving outlook for chip shipments. Global technology spending has accelerated as companies race to deploy artificial intelligence models, expand cloud infrastructure and develop advanced consumer devices that incorporate machine learning capabilities.

Demand for high-capacity memory modules and advanced storage solutions has therefore increased across multiple sectors, including data centres, autonomous vehicles and mobile electronics. South Korea’s manufacturers supply a significant portion of these components, giving the country a strategic role in the global digital economy.

Trade patterns also reflect evolving supply chains. Electronics companies have diversified sourcing strategies in response to geopolitical uncertainty, but memory chip production remains heavily concentrated in East Asia due to the specialised infrastructure required for fabrication plants.

South Korea has sought to reinforce its position through large-scale investment in semiconductor research and manufacturing capacity. Authorities have promoted development of semiconductor clusters, expanded tax incentives for chipmakers and encouraged collaboration between industry and research institutions.