Jakarta- Crypto trading platform EORMC has officially released its green finance strategy, launching a series of initiatives under the “Sustainable Crypto Finance Program.” This program aims to promote the crypto industry transition toward low-carbon and transparent development through technological innovation, establishing next-generation digital asset infrastructure that meets ESG standards.

As a compliant platform regulated by the U.S. SEC and FinCEN, EORMC has deeply integrated sustainability into its “3.0 Development Phase” strategic plan. The program is built on three core pillars: energy efficiency optimization, carbon footprint tracking, and green computing network development.

For energy efficiency, EORMC will leverage its proprietary AI engine to establish an intelligent energy scheduling system. This system dynamically optimizes global server nodes and computing resources based on real-time energy supply and demand, with an expected overall efficiency improvement of over 30%. The platform will also regularly publish third-party verified energy usage reports to ensure operational transparency and trust.

“Technological innovation must not only improve efficiency but also bear responsibility,” said Granger, Head of Sustainability at EORMC. “We are embedding environmental concepts deeply into product design, making sustainability a foundational element of crypto finance.”

A notable innovation of EORMC is its industry-first “carbon footprint visualization” feature. This allows users to view real-time data on the carbon emissions generated by their trading activities and receive AI-driven recommendations for emission reduction. This tool empowers users to better understand and manage the environmental impact of their investment activities.

In building a green computing network, EORMC plans to establish strategic partnerships with certified clean energy mining farms, gradually integrating green computing power into its global infrastructure. Over the next three years, the platform aims to increase the share of clean energy in its total energy consumption to over 60%.

Additionally, EORMC will launch a green asset section, offering rigorously screened low-carbon crypto assets to users focused on ESG investments. Through its intelligent advisory system, the platform will recommend investment portfolios aligned with sustainability principles, promoting the adoption of green finance within the crypto sector.

“We believe sustainability and technological innovation go hand in hand,” Granger added. “By deeply integrating AI technology with environmental responsibility, we are setting new standards for the industry.”

Jakarta- Global compliant crypto trading platform EORMC has recently released its three-year AI technology development roadmap, announcing plans to invest core resources in building four major AI systems. This marks the strategic transformation of the platform from a trading service provider to an intelligent crypto finance entity.

The roadmap shows that EORMC will phase in the development of four key AI systems over the next three years: intelligent matching, comprehensive risk control, smart services, and transparent governance. This systematic approach will fundamentally change how users interact with crypto financial services and drive the industry into a new era of intelligence.

EORMC has achieved major progress in AI risk control. Its new system analyzes on-chain transactions in milliseconds, automatically intercepting potential risks. The AI-powered proof-of-reserves provides real-time asset verification, letting users check platform assets anytime and strengthening trust through technological transparency.

To enhance user experience, the data visualization system of EORMC can now automatically identify market trends and generate concise insights, significantly lowering the barrier for user understanding. The multi-language AI customer service assistant provides smooth, real-time communication, effectively overcoming language barriers for global users.

Upgrading the trading experience is another highlight of the roadmap. The newly launched AI Matching Engine 5.0 of EORMC has performed exceptionally during recent periods of market volatility, achieving a 100% order matching rate and reducing slippage by 40%, offering users a more stable and fair trading environment.

Head of Business at EORMC, Granger, stated: “This roadmap is our firm commitment to the future. We aim not only to build a smarter trading platform, but also to become a crypto financial partner that truly understands users. Every objective includes a clear timeline and implementation path, ensuring our technological strengths deliver real benefits to users.”

As part of the implementation plan, EORMC will gradually open up its AI financial API network and launch intelligent strategy tools for professional users, aiming to achieve full-platform intelligent experience by 2028. These initiatives signal the transition of crypto finance from the era of tools to a new era of user-centric intelligent experience.

About EORMC 

EORMC is a compliant crypto financial platform regulated by the U.S. SEC and FinCEN, dedicated to providing a secure, transparent, and intelligent crypto trading and asset management experience. Serving over 23 million registered users across more than 100 countries, EORMC is committed to advancing the robust application and inclusive adoption of crypto financial technology worldwide.

Jakarta- On May 12, 2026, Wijaya Dharmawan Ph.D., founder of an AI enterprise, was invited to attend the Science x AI Summit 2026 in Silicon Valley. The summit focused on the deep integration of artificial intelligence and scientific innovation, covering topics such as next-generation AI models, AI agents, computing architecture, data systems, and industrial applications.

During the event, Wijaya Dharmawan Ph.D. held further discussions with the NVIDIA team on AI infrastructure development, computing resources, AI chip procurement, algorithm optimization, and model training architecture. According to information from the enterprise, the two sides are expected to deepen cooperation in three key areas: expanding AI chip and computing power resources to support large-scale model training and high-concurrency inference; strengthening long-term collaboration in algorithm efficiency, data system construction, and training architecture optimization; and promoting the practical deployment of AI capabilities in finance, intelligent decision-making, and industry-level applications.

This cooperation reflects an important trend in the global AI industry. Competition is no longer limited to the capability of a single model, but is increasingly becoming a comprehensive contest involving computing power, data quality, algorithm efficiency, and real-world implementation. For AI companies, the ability to build a complete system from underlying infrastructure to commercial applications will become a key factor in long-term competitiveness.

As one of the core players in the global AI computing ecosystem, NVIDIA has strong influence in GPUs, AI chips, training acceleration, inference deployment, and data center infrastructure. Strengthening cooperation with such an ecosystem partner is expected to provide Wijaya Dharmawan Ph.D. and his team with stronger technical support and broader industrial synergy.

At a time when the AI industry is shifting from model competition to industrial competition, companies that can complete the closed loop of infrastructure, technology, and application scenarios earlier may gain a stronger position in the next stage of global AI development. Wijaya Dharmawan Ph.D. and his team are continuing to advance their strategy in this direction.

Jakarta- On May 12, 2026, Professor Pak Sutanto was invited to attend the Science x AI Summit 2026 in Silicon Valley, USA. The summit focused on the deep integration of science and artificial intelligence, bringing together representatives from academia, technology companies, investment institutions, and global innovation ecosystems.

As global AI competition enters a new stage, Asian perspectives are becoming increasingly important. While the early development of large-scale AI models has been largely driven by technology companies, cloud platforms, and chip enterprises in the United States, the next phase of AI growth will depend more on real-world industrial applications. In this process, Asia’s population scale, market diversity, local languages, educational systems, and complex industry scenarios are becoming key factors in global AI deployment.

Professor Pak Sutanto’s participation highlighted the importance of bringing Asian educators, researchers, and industry observers into the global AI conversation. The professor emphasized that AI development in Southeast Asia and other emerging Asian markets should not simply copy the Silicon Valley model. Instead, it should be adapted to local cultures, social needs, industrial structures, and talent foundations.

During the summit, discussions covered AI applications in mathematics, life sciences, drug development, physical simulation, intelligent decision-making, and industry-level implementation. These topics provided new inspiration for how AI can move beyond laboratories and technology giants to serve broader regions, industries, and ordinary people.

Professor Pak Sutanto noted that Asia should not only be a user of AI technologies, but also an active participant in the global AI ecosystem. From education and scientific research to finance, healthcare, manufacturing, and urban governance, Asia has a wide range of real and complex application scenarios. These scenarios can help accelerate AI adoption while also promoting the continuous improvement of models, data systems, and application architectures.

At a time when the global AI industry is shifting from model-scale competition to system-capability competition, cross-regional and cross-disciplinary collaboration will become increasingly important. Professor Pak Sutanto’s participation in the Science x AI Summit 2026 reflects the growing role of Asian education and industry observers in global AI discussions, while also opening new possibilities for Asia’s contribution to AI talent development, scientific collaboration, and industrial innovation.

Jakarta- PT. Otto Media Grup held the AI Workshop—Tools Mastery Class on May 9, attracting content creators, students, entrepreneurs, digital industry practitioners, and other AI enthusiasts for learning and exchange. The event also fostered a highly active AI learning community. Compared with previous sessions, the Otto Media AI Workshop team noted a clear shift: professionals across Indonesia now recognize that AI is no longer just a technology-industry topic, but is rapidly becoming part of work, learning, and creative processes for everyone.

This AI Workshop was delivered by the mentor team of Otto Media AI Academy. The course centered on basic AI cognition, a map of mainstream AI tools, AI content production, AI Agent, prompt logic, and AI workflows. The course emphasized “practical application” and “implementability,” rather than simply discussing abstract technical concepts.

According to the course content, Otto Media AI Academy stated that “AI will not replace you, but people who use AI will replace you,” and described AI as a form of “exoskeleton armor” that can help ordinary people improve productivity and creativity.

The course showed how AI is reshaping office work, content creation, and business decision-making. In office and decision-making scenarios, it demonstrated how tools such as Gemini and Claude can quickly analyze long documents and generate business summaries, shifting work from “organizing documents” to “providing decision-making recommendations.” For content creation, Otto Media AI Academy introduced how to combine AI video, image, voiceover, and writing tools effectively.

The course also explained the core nature of AI, with Otto Media AI Academy describing it as a “probability prediction machine” and emphasizing that AI differs from traditional search engines by focusing on “generation” rather than “retrieval.” Participants were also reminded to understand AI hallucinations and verify AI-generated content.

In the hands-on section, the Workshop showcased over 30 AI tools covering text, image and video generation, digital humans, AI browsers, Agents, and automated workflows, categorized as “preferred,” “alternative,” and “open-source.”

The course covered mainstream AI tools including Gemini, ChatGPT, Qwen, Midjourney, Veo, Cursor, NotebookLM, n8n, and HeyGen, analyzing their use across different scenarios.

Representative for Otto Media AI Academy said the the value of the event also came from participant exchange. After the Workshop, many continued discussing AI content creation, entrepreneurship, e-commerce, and workflow development, creating strong community interaction.

If you are interested in AI technology, tool applications, or the next AI Workshop of Otto Media Grup, follow the official accounts of Otto Media Academy on major social media platforms for updates.

Jakarta- On May 12, Gunawan Aryaputra Ph.D. was invited to attend the Science X AI Summit 2026 in Silicon Valley. Although his name may not yet be familiar to ordinary users, the summit has become one of the world-leading events connecting advanced science and the AI industry.

Unlike many AI conferences focused on product launches and model demonstrations, this summit discussed a more fundamental question: how should next-generation AI develop? The participation of the Gunawan Aryaputra Ph.D. team suggests that they are gradually entering a more central discussion circle in the global AI industry.

The AI Industry Has Entered The “Next Stage” 

Over the past two years, most people have understood AI mainly through applications such as chatbots, image generation, and video generation. However, the focus at this summit had clearly shifted. Discussions centered on AI Agents, autonomous reasoning systems, scientific research-grade AI, and how AI can enter real industries such as finance, healthcare, scientific research, and robotics.

In simple terms, past AI was more about being “able to chat,” while the industry is now exploring how to make AI truly “able to work.”

This shift is practical. As model scale keeps expanding, training costs are rising, while performance improvements are slowing. Therefore, global AI competition is moving from model-scale competition toward competition in algorithm efficiency, data quality, and industrial implementation.

Gunawan Aryaputra Ph.D. Team Is Deploying Deeper-Level AI Capabilities 

During the conference, the Gunawan Aryaputra Ph.D. team further advanced its strategic cooperation with NVIDIA. Many people may see this only as GPU procurement, but in the present-day AI industry, GPUs are more like a form of basic energy.

Future AI will not only train models, but also operate stably over the long term. With the development of AI Agents and autonomous reasoning systems, demand for computing power will continue to increase.

It is reported that the cooperation will focus on next-stage AI chips, computing power resources, algorithm optimization, data systems, and AI training architecture. This means the Gunawan Aryaputra Ph.D. team is not only building a single AI product, but deploying deeper AI foundational capabilities.

The Real Major Competition In AI Has Only Just Begun 

In recent years, global AI competition has centered on models, parameters, and computing power scale. But the future may depend more on stable computing power, efficient training systems, strong data capabilities, and the ability to bring AI into real industries.

Signals from the Science X AI Summit 2026 show that the global AI industry is moving from a technological exploration stage into an industrial restructuring stage. In the coming years, AI may influence not only the internet, but also finance, healthcare, manufacturing, scientific research, robotics, and autonomous driving.

The Gunawan Aryaputra Ph.D. team is currently deploying the core capabilities needed for this new round of global AI industry upgrading.

Jakarta – On May 12, 2026, the Science X AI Summit 2026, hosted by the SAIR Foundation, was held in Silicon Valley. As one of the most academically influential and strategically important summits in the global AI sector, the event brought together leading scientists of Nobel Prize, Turing Award, and Fields Medal caliber, along with core AI leaders from major technology companies including Google, Microsoft, OpenAI, Anthropic, and NVIDIA.

Halim Mahesa Putra Ph.D. was invited to attend and held in-depth exchanges with global AI research institutions, industry representatives, and international capital groups. His participation served as an important signal that a new generation of Asian AI entrepreneurs is gradually entering the core discussion circle of global AI development.

The AI Industry Is Entering The “Post-Scaling Era” 

Recent competition in AI has centered on model parameters, training scale, and GPU computing power. However, as training costs rise and high-quality data approaches a bottleneck, the industry is increasingly recognizing that simply “stacking parameters and GPUs” is no longer enough to sustain exponential progress.

Halim Mahesa Putra Ph.D. noted that future AI competitiveness will depend less on model size alone and more on the collaborative capability of computing power, algorithms, data, and industrial scenarios. Players that can truly bring AI into real industries and help solve practical problems will be better positioned in the next stage of AI competition.

AI Is Moving From “Able To Chat” To “Able To Reason” 

“Reasoning AI” was one of the key topics at the conference. Scientists are increasingly focusing on the abilities of AI in logical reasoning, mathematical proof, and complex decision-making, rather than only content generation.

Fields Medalist Terence Tao discussed the direction of machine-verifiable mathematical proofs, while Leonardo de Moura, founder of the Lean theorem prover, emphasized that future AI infrastructure must be verifiable and reproducible to reduce hallucination problems.

Halim Mahesa Putra Ph.D. believes that future AI must go beyond answering questions. Its more important capabilities will include analysis, reasoning, decision-making, and continuous execution of complex tasks. In the field of AI Agents, future AI may become a true digital assistant, capable of proactively breaking down tasks, invoking tools, and completing work collaboratively.

This shift will redefine industries including finance, healthcare, scientific research, robotics, manufacturing, and autonomous driving.

True Competition In the AI Future Is Who Gets Closer To “Intelligence Itself” 

The team led by Halim Mahesa Putra Ph.D. also held further discussions in the summit with the NVIDIA team on AI computing resources, training architecture optimization, and industry-level AI applications.

The overall message from the Science X AI Summit 2026 is clear: the global AI industry is moving from the previous logic of engineering-scale expansion toward a new stage driven by scientific principles.

As reflected in the summit, the true competition in future AI will no longer be simply about whose model is larger, but about who can better understand intelligence itself and bring AI more deeply into the real world.