Indonesia unveils AI Center of Excellence to increase adoption
After months of planning, Indonesia has launched a national AI Center of Excellence designed to accelerate the mainstream adoption of emerging technologies.
According to a local news outlet report, Indonesia's Ministry of Communications and Digital Affairs will spearhead the AI Center of Excellence initiative. The Ministry is teaming up with several entities, including Nvidia (NASDAQ: NVDA), Cisco (NASDAQ: CSCO), Ooredoo Hutchison, and Indosat (NASDAQ: PTITF), for technical and commercial direction.
The Center of Excellence will aim to establish Indonesia's sovereign artificial intelligence (AI) infrastructure. At the top of the list of priorities is digital inclusivity for Indonesian residents, which will be supported by training programs on AI and data science.
Furthermore, the newly minted AI Center of Excellence will support local AI innovation rather than a full dependency on foreign AI companies. To achieve this, the Ministry unveiled a secure AI regulatory sandbox for innovators to test real-world solutions before a commercial rollout.
Local AI firms will have access to accelerators and an enterprise hub to offer a level playing field with foreign technology companies. One key area of focus for the Center of Excellence is the rollout of a national regulatory framework for AI, with the initiative setting up a think-tank for ethical AI policies.
To maintain data sovereignty, Indonesia's Center of Excellence will pursue the development of national large language models (LLMs), promoting local values and cultural nuances.
Apart from triggering higher adoption metrics, the initiative extends to securing digital assets. Cisco's infrastructure will support a Sovereign Security Operations Center (SOC), offering advanced data control and threat detection on a national scale.
Indonesian enterprises holding digital assets can lean on SOC to secure their holdings and achieve regulatory compliance relating to custody services. Cisco will also support the training objectives of the AI Center of Excellence through its Networking Academy, eyeing the upskilling of 500,000 Indonesians before the end of the decade.
On the other hand, Nvidia is providing research support via its AI Technology Center and participating in digital technology education and startup acceleration through its Deep Learning Institute and Inception programs.
Pulling significant investment in emerging technologies
Before the AI Center of Excellence rollout, Indonesia had attracted significant foreign capital inflows. In 2024, Microsoft (NASDAQ: MSFT) pledged $1.7 billion to improve Indonesia's cloud infrastructure and planned to train over 800,000 residents on emerging technologies. Meanwhile, Nvidia has partnered with Indosat to build a $200M AI center to drive growth and deepen the local talent pool. Despite these efforts, regulators are proceeding with caution, scrambling to roll out strict legislation to govern the operations of AI service providers.
Meta to splurge billions to build new AI data centers in the US
In other news, Meta (NASDAQ: META) has confirmed that it intends to build new AI data centers across the U.S., which could cost the technology giant hundreds of billions of dollars.
Meta founder Mark Zuckerberg revealed that the incoming AI infrastructures are gigawatt clusters comprising several data centers consuming over 1,000 megawatts of power. Zuckerberg revealed via Threads that a cluster dubbed Hyperion can scale up to 5 gigawatts in the near future, putting Meta ahead in the AI race.
The CEO disclosed that the largest clusters will cover roughly the landmass of Manhattan, with Meta eyeing locations in Louisiana and Ohio. In his statement, Zuckerberg confirmed that the first of the incoming data centers will go live as early as next year, while Hyperion will be fully online before the end of the decade.
'We're building multiple more titan clusters as well,' said Zuckerberg. 'Just one of these covers a significant part of the footprint of Manhattan.'
Meta's plans to launch new AI data centers are tipped to run into hundreds of billions of dollars, but Zuckerberg says the company has the cash reserves to achieve its targets. Zuckerberg cites growing financial results from Meta's core advertising business that raked in revenues of $165 billion in 2024.
'We have the capital from our business to do this,' remarked Zuckerberg.
Apart from spending on infrastructure, Meta has invested heavily on talent acquisition, offering millions in sign-on bonuses to new employees. Additionally, Meta's newly organized Superintelligence Labs is tipped to spearhead the company's foray into AI.
Meta's 2025 capital expenditure has surged to $72 billion as the company seeks to edge out OpenAI and Google in the race to achieve Superintelligence. Before the heightened spending, Meta had recorded success with its open-source large language models (LLM) and seamless integration into its social media platforms.
Concerns trail data center push
Experts are raising concerns over the electricity consumption of data centers supporting AI and emerging technologies. Several countries like India and the Philippines are building out new large-scale data centers amid the sustainability concerns raised by energy experts.
Currently, a study claims that AI chip manufacturing has derailed climate progress in East Asia, with electricity usage spiking by 350% since 2023. Furthermore, UNESCO is pushing to stifle the carbon footprint from AI data centers and chip manufacturing processes.
In order for artificial intelligence (AI) to work right within the law and thrive in the face of growing challenges, it needs to integrate an enterprise blockchain system that ensures data input quality and ownership—allowing it to keep data safe while also guaranteeing the immutability of data. Check out CoinGeek's coverage on this emerging tech to learn more why Enterprise blockchain will be the backbone of AI .
Watch: Blockchain & AI unlock possibilities
title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen="">
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Geeky Gadgets
a minute ago
- Geeky Gadgets
GPT-5 Lobster and Claude Code Combined : The Future of Smarter Automation?
What if the future of coding, creativity, and automation wasn't just faster—but fundamentally smarter? Enter GPT-5 Lobster and Claude Code, two new AI tools that are reshaping how we think about innovation. From transforming workflows to allowing entirely new creative possibilities, these technologies are more than incremental upgrades—they're seismic shifts in the landscape of artificial intelligence. Imagine an AI that not only generates flawless code but also anticipates your needs, or a system that transforms annotated images into cinematic-quality videos. These aren't distant dreams—they're the reality these tools are delivering today. But how do they stack up against the competition, and what do they mean for the future of work? All About AI explores the innovative capabilities of GPT-5 Lobster and Claude Code, diving into their unique features, real-world applications, and the industries they're poised to disrupt. You'll discover how Lobster excels in natural language processing and contextual understanding, while Claude Code pushes the boundaries of agentic engineering to automate complex processes. Whether you're a developer, content creator, or business leader, these tools offer insights into how AI can amplify your productivity and creativity. As we unpack their potential, you might just find yourself rethinking what's possible in your own workflows. AI Automation Tools Driving Innovation GPT-5 Lobster Model: Setting a New Benchmark in AI The GPT-5 Lobster model is a new advancement in natural language processing, excelling in tasks such as text generation, problem-solving, and contextual understanding. Tested rigorously in the LM Web Arena, Lobster consistently outperforms competitors like Starfish, Nectarine, and Kimmy K2. Its ability to interpret context and intent with precision makes it a versatile tool across diverse industries. Content Creation: Lobster generates highly accurate and contextually relevant outputs, streamlining tasks such as drafting articles, creating marketing copy, or even scripting presentations. Lobster generates highly accurate and contextually relevant outputs, streamlining tasks such as drafting articles, creating marketing copy, or even scripting presentations. Data Analysis: It processes complex datasets efficiently, providing actionable insights that support informed decision-making. It processes complex datasets efficiently, providing actionable insights that support informed decision-making. Customer Interaction: Lobster enhances customer service by delivering conversational, accurate, and human-like responses. For industries requiring precision, such as legal documentation or medical research, Lobster's adaptability allows for fine-tuning to meet specific needs. Its ability to cater to unique challenges ensures that it remains a valuable asset for professionals seeking tailored solutions. Claude Code: Transforming Automation with Agentic Engineering Claude Code is transforming automation by allowing the development of autonomous agents designed for coding, project management, and workflow optimization. These agents simplify complex processes, allowing you to focus on strategic and creative tasks. Front-End and Back-End Automation: Claude Code enables the deployment of agents to handle repetitive coding tasks, manage project timelines, and oversee debugging processes. Claude Code enables the deployment of agents to handle repetitive coding tasks, manage project timelines, and oversee debugging processes. Collaboration: By streamlining communication and task delegation, Claude Code fosters seamless teamwork and enhances productivity. With the support of MCP servers, Claude Code is advancing agentic engineering, creating systems that require minimal human intervention. These adaptive systems learn and evolve over time, making them indispensable in dynamic and fast-paced environments. GPT 5 Lobster & Claude Code Automations Watch this video on YouTube. Check out more relevant guides from our extensive collection on ChatGPT 5 that you might find useful. Veo3 Video Generation: Precision Meets Creativity The Veo3 frame-to-video workflow is a fantastic tool in video production, allowing the conversion of annotated images into high-quality videos. This innovation enables you to bring creative visions to life with unparalleled precision and efficiency. Filmmaking: Experiment with camera angles, lighting, and scene compositions without the need for costly equipment or extensive reshoots. Experiment with camera angles, lighting, and scene compositions without the need for costly equipment or extensive reshoots. Marketing: Quickly create engaging and visually appealing content, saving both time and resources while maintaining high production quality. By eliminating the need for labor-intensive post-production processes, V3 opens up new possibilities for creativity while significantly streamlining video creation workflows. This makes it an invaluable tool for filmmakers, marketers, and content creators alike. AI IDEs and CLI Tools: Boosting Developer Productivity AI-powered Integrated Development Environments (IDEs) and Command-Line Interface (CLI) tools are transforming the way developers write, debug, and optimize code. Tools like Gemini CLI, Warp, and Codeex are designed to enhance efficiency and reduce repetitive tasks, allowing developers to focus on innovation. Real-Time Error Detection: Identify and resolve coding issues as they occur, reducing debugging time and improving code quality. Identify and resolve coding issues as they occur, reducing debugging time and improving code quality. Code Optimization: Receive intelligent suggestions to enhance code performance, readability, and maintainability. Receive intelligent suggestions to enhance code performance, readability, and maintainability. Automated Code Generation: Save time by automating boilerplate coding tasks, allowing you to focus on more complex aspects of development. For instance, Gemini CLI's advanced debugging capabilities make it ideal for tackling intricate projects, while Warp's speed-focused design accelerates command execution. These tools are reshaping the development landscape by making coding more efficient and accessible. Runway's ALAP Model: Innovating Video Editing Runway's ALAP model is redefining video editing by offering tools that enhance both flexibility and creativity. This model allows you to reimagine video content in ways that were previously unattainable, making it a fantastic option for professionals in various industries. Generate New Perspectives: Modify camera angles or transform existing footage to create fresh and dynamic visuals. Modify camera angles or transform existing footage to create fresh and dynamic visuals. Create New Sequences: Build entirely new scenes from existing material, expanding the creative potential of your projects. Whether you're working in advertising, entertainment, or content creation, ALAP provides the tools to elevate your work. Its ability to streamline complex editing tasks ensures that you can focus on delivering high-quality, impactful content. Unitree R1: Humanoid Robotics with LLM Integration The Unitree R1 humanoid robot, integrated with large language models (LLMs), represents a significant leap forward in robotics. Designed for versatility, the R1 is capable of performing tasks across a wide range of applications, from customer service to advanced research. Retail Assistance: Deploy the R1 to guide customers, answer queries, and enhance the overall shopping experience. Deploy the R1 to guide customers, answer queries, and enhance the overall shopping experience. Laboratory Automation: Automate repetitive tasks in research settings, allowing human workers to focus on strategic and analytical roles. With its ability to understand and respond to complex commands, the R1 is adaptable to various industries. Its integration with LLMs ensures that it remains a valuable tool for innovation, efficiency, and problem-solving. The Future of AI in Development AI is no longer just a tool; it is a driving force behind innovation and progress. By integrating AI technologies like GPT-5 Lobster, Claude Code, and advanced video generation tools into your workflows, you can unlock new levels of efficiency, creativity, and adaptability. These advancements are not only reshaping industries but also redefining the way you work and solve problems. The tools highlighted here demonstrate the fantastic potential of AI across multiple domains. By embracing these technologies, you can stay ahead of the curve, using AI to achieve your goals and shape the future of work in a rapidly evolving world. Media Credit: All About AI Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Geeky Gadgets
a minute ago
- Geeky Gadgets
How to Use Amazon's New Kiro Agentic IDE for Coding Efficiency and AI Precision
What if your next coding session felt less like wrestling with complexity and more like orchestrating a symphony of seamless productivity? Enter Kiro, Amazon's new AI-powered IDE that promises to transform the way developers approach their craft. Built on the familiar foundation of VS Code but infused with innovative artificial intelligence, Kiro is designed to adapt to your unique workflow—whether you prefer a chat-based, iterative style or a carefully structured, spec-driven approach. But here's the twist: while it offers unparalleled precision and automation, Kiro also challenges traditional notions of speed and agility in software development. Could this trade-off redefine what it means to code efficiently? In the video below Syntax explains how Kiro's Agent Steering, Spec-Based Workflow, and Agent Hooks can help you automate repetitive tasks, create comprehensive documentation, and streamline team collaboration. You'll discover how its intuitive interface minimizes reliance on terminal commands, making even complex tasks like server management more accessible. At the same time, we'll address the nuances—like how its meticulous task queuing system might not align with every developer's pace. Whether you're a seasoned coder or just starting out, Kiro offers a mix of possibilities and challenges that could reshape your development experience. So, how might this AI-powered IDE fit into your workflow? Let's unravel its potential together. Amazon Kiro AI IDE Key Features of Kiro Kiro stands out by combining AI-powered functionality with an intuitive, user-friendly interface. Its features are tailored to benefit both novice and experienced developers, offering tools that enhance efficiency and precision. Some of its most notable capabilities include: Agent Steering: This feature automatically generates steering documents to guide AI interactions, making sure that outputs are both accurate and contextually relevant. By reducing errors and improving the reliability of AI-generated suggestions, Agent Steering enhances the overall development process. This feature automatically generates steering documents to guide AI interactions, making sure that outputs are both accurate and contextually relevant. By reducing errors and improving the reliability of AI-generated suggestions, Agent Steering enhances the overall development process. Spec-Based Workflow: Kiro supports the creation of detailed requirement, design, and task documents. This structured framework promotes clarity and consistency, making it easier to manage complex projects and collaborate effectively. Kiro supports the creation of detailed requirement, design, and task documents. This structured framework promotes clarity and consistency, making it easier to manage complex projects and collaborate effectively. Agent Hooks: Repetitive tasks, such as updating documentation or optimizing code, are automated through Agent Hooks. This reduces manual effort, allowing you to focus on more strategic aspects of development. Repetitive tasks, such as updating documentation or optimizing code, are automated through Agent Hooks. This reduces manual effort, allowing you to focus on more strategic aspects of development. MCP Servers: Managing servers is simplified with an intuitive interface that enables seamless configuration and monitoring. This feature eliminates the need for deep technical expertise, making server management more accessible. Optimized Workflows with Usability in Mind Kiro's design prioritizes ease of use, reducing reliance on terminal-based commands and emphasizing a UI-centric approach. Tasks can be queued and executed sequentially, making sure thoroughness and minimizing the risk of errors. Additionally, Kiro allows you to customize generated documents and tasks, giving you greater control over your development process. While this meticulous task queuing system enhances accuracy, it can occasionally slow down workflows, particularly in fast-paced, agile development environments. Developers working on time-sensitive projects may find this approach less aligned with their needs, highlighting a trade-off between precision and speed. Kiro AI IDE Overview & User Guide Watch this video on YouTube. Expand your understanding of AI-Driven IDEs with additional resources from our extensive library of articles. Strengths and Challenges Kiro's primary strength lies in its seamless integration of AI into the coding workflow. Its ability to generate highly accurate and reliable outputs makes it a valuable tool for developers who prioritize quality and precision. The intuitive interface further enhances its appeal, simplifying complex tasks such as server management and documentation generation. However, as a preview release, Kiro is not without its challenges. Bugs and performance issues occasionally arise, reflecting its developmental stage. Additionally, the detailed processing and task queuing system, while thorough, may feel slow to developers accustomed to rapid iteration. These limitations underscore the importance of user oversight, particularly when relying on AI-generated outputs. Real-World Applications of Kiro Kiro's versatility makes it suitable for a wide range of development scenarios. Its features are designed to address common challenges while enhancing efficiency and collaboration. Key applications include: Automating Repetitive Tasks: Kiro's automation capabilities streamline processes such as refactoring code and updating documentation. This allows you to allocate more time to solving complex problems and innovating. Kiro's automation capabilities streamline processes such as refactoring code and updating documentation. This allows you to allocate more time to solving complex problems and innovating. Creating Comprehensive Documentation: The spec-based workflow ensures that project documentation is thorough and consistent, making it an excellent tool for collaborative teams working on large-scale projects. The spec-based workflow ensures that project documentation is thorough and consistent, making it an excellent tool for collaborative teams working on large-scale projects. Improving UI/UX Design: Kiro's AI-driven suggestions assist in crafting intuitive and user-friendly interfaces, helping developers create designs that align with user expectations. Kiro's AI-driven suggestions assist in crafting intuitive and user-friendly interfaces, helping developers create designs that align with user expectations. Enhancing Team Collaboration: By providing a structured framework for requirements and design, Kiro assists better communication and alignment among team members, making sure that everyone is on the same page. Developer Feedback and Insights Early adopters of Kiro have provided valuable feedback, highlighting its strengths and areas for improvement. Many developers praise its effectiveness in structured, spec-driven workflows, noting that its AI-generated outputs often surpass those of competing tools. The user-friendly interface and automation features have also received positive reviews, particularly for their ability to simplify complex tasks. However, some users have expressed concerns about the workflow's level of detail, which can feel overly meticulous or slow for fast-paced, iterative projects. These insights emphasize the importance of aligning Kiro's capabilities with your specific development needs, making sure that the tool complements your workflow rather than hindering it. The Future of AI-Driven Development with Kiro Kiro represents a significant step forward in the integration of AI into software development. Its structured workflows, intuitive interface, and advanced automation features position it as a powerful tool for developers seeking to enhance productivity and streamline their processes. While it faces some limitations, such as occasional bugs and slower task execution, its potential to transform the development experience is evident. As Kiro continues to evolve, it is likely to address these challenges and expand its capabilities, making it an indispensable resource for modern developers. By using Kiro's unique features, you can unlock new levels of efficiency and precision, paving the way for more innovative and impactful software solutions. Media Credit: Syntax Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Reuters
32 minutes ago
- Reuters
Japan says US trade deal eases tariff uncertainties, but risks remain
TOKYO, July 29 (Reuters) - Japan said on Tuesday the trade agreement it struck with the U.S. cleared uncertainties on U.S. trade policies but continued attention needs to be given to risks of those policies putting downward pressure on the Japanese economy. Tokyo clinched a trade deal with Washington last week, lowering tariffs to 15% from a previously proposed 25%, including on autos, a mainstay of the export-reliant economy. In the Cabinet Office's monthly economic report for July, the government maintained an overall assessment that the Japanese economy is recovering "at a moderate pace," although effects from U.S. tariffs are seen in some areas including cars. "Regarding the tariff measures that had already been implemented, the export prices of automobiles to the U.S. have fallen significantly since April," a Cabinet Office official said at a press briefing. However, the official said there are no particular signs of change in export volumes, manufacturing price indexes or employment due to the tariffs. "We had been saying that there was a heightened risk of a downturn (in the Japanese economy) due to the impact of U.S. trade policy, but we don't think that is the case at this point," the official said, citing a slew of trade deals the U.S. had concluded with countries. "On the other hand, the risk of a downturn remains, so we need to keep an eye on that." Elsewhere in the report, the Cabinet Office downgraded its assessment of exports for the first time in a year, reflecting a slowdown in semiconductor manufacturing equipment exports to Taiwan and South Korea. The government also revised its language on domestic corporate goods prices for July. It said the pace of growth is "slowing down" recently, having in June said they were "gradually rising", attributing the change to the government's energy subsidies and slower growth in food prices. On private consumption, which accounts for more than half of Japan's economy, the government retained its view that it is picking up.
