Taiwan plans AI projects to boost economy by $510 billion
Premier Cho Jung-tai said in a Facebook post late on Tuesday that Taiwan aims to leverage its information and communications technology (ICT) sector and world-leading semiconductor manufacturing capabilities to become a global AI influencer and a "smart technology island."
Under the initiative, Taiwan has identified three core technologies as strategic priorities: silicon photonics, quantum technology and AI robotics.
Silicon photonics is a technology that Taiwan's TSMC, the world's largest contract chipmaker, and many other firms in the industry are actively developing.
The government aims to position Taiwan as a global leader in silicon photonics by aligning the sector with future AI development needs.
Taiwan also hopes to become a key hub for AI robotics by tapping its hardware and ICT supply chains.
Industry groups, including one led by Foxconn Chairman Young Liu, have backed the move with the formation of the Taiwan AI Robotics Industry Grand Alliance on Tuesday to support the local development of AI robotics and related ecosystems.
Taiwan also plans to establish a quantum technology industry chain.
The 10 projects also include the development of sovereign AI - ability to build and control domestic AI technologies - and computing infrastructure, efforts to balance AI development across different regions of the island, and the introduction of AI across a wide range of industries.
The government also calls for expanding investment in AI innovation, with more than T$100 billion ($3.08 billion) in venture capital funding, as it seeks to become a global hub for AI talent and investment.
The initiative targets the creation of 500,000 jobs and the establishment of three international-level research laboratories.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
5 minutes ago
- Yahoo
Phenom Earns Spot as SaaS Awards 2025 Finalist for Intelligence and Automation Platform
Recognized for Excellence in Software-as-a-Service Innovation and Impact PHILADELPHIA, July 28, 2025--(BUSINESS WIRE)--Phenom, an applied AI company that helps organizations hire faster, develop better and retain longer, has been named a finalist in The 2025 SaaS Awards for its intelligence and automation platform. CEO of The Cloud Awards, James Williams, said: "We're pleased to confirm the finalists in this year's SaaS Awards. This year features a particularly competitive field of nominations, giving our judges a tough, yet rewarding, task in turning our shortlist into an exclusive range of finalists. "Driven by the continued investment and evolution of AI within the industry, SaaS solutions are becoming increasingly sophisticated, and standing out from the crowd can be a tough task. Phenom, and their fellow finalists, have done exceptionally well in reaching this stage, and we wish them well as our judges go on to select this year's winners." Building on its recent recognition as a Top 25 AI Company by the Software Report and Best Cloud HR/HRMS Solution in The 2024/25 Cloud Awards program, Phenom continues to earn industry acclaim for its bold innovation that unifies rather than fragments the entire talent experience for all stakeholders through a single experience-first platform. The comprehensive solution addresses critical HR challenges through advancements in data standardization, domain-specific AI, scalability, real-time personalization, conversational and agentic AI, compliance, and seamless integration with existing HR systems. In 2025, Phenom introduced breakthrough innovations including X+ Ontologies, X+ Agent Studio, and industry-specific X+ Agents that bridge the gap between business strategy and HR execution. These purpose-built agents streamline essential processes across industries like healthcare, retail, financial services, and manufacturing — from candidate sourcing to talent development — while transforming unstructured enterprise data into actionable insights. "The real test of AI in HR isn't what it can do in a demo — it's how real companies are turning the messy, unstructured reality of their enterprise data and systems into a seamless experience across their entire talent ecosystem," said John Harrington, Sr. Director, Product Marketing at Phenom. "Our customers are already seeing the impact of this transformation, and this recognition further validates that our approach is working." Learn why Phenom's industry-specific AI and automation continues to earn accolades. Tune in to Industry Week July 28 through August 1 live or on demand. Register at With Phenom, candidates find and choose the right job faster, employees develop their skills and evolve, recruiters become wildly productive, talent marketers engage with extreme efficiency, talent leaders optimize hiring and onboarding processes, managers build stronger-performing teams, HR aligns employee development with company goals, and HRIT easily integrates existing HR tech to create a holistic infrastructure. The SaaS Awards recognizes the organizations that are leading the way in the software-as-a-service industry – from specialized 'vertical SaaS' solutions through to broader services for enterprise or SME businesses. The program received entries from organizations of all sizes from across the globe, including the USA and Canada, the UK and Europe, the Middle East, and APAC. About Phenom Phenom has a purpose of helping a billion people find the right work. Through AI-powered talent experiences, employers use Phenom to hire and onboard employees faster, develop them to their full potential, and retain them longer. The Phenom Intelligent Talent Experience platform seamlessly connects candidates, employees, recruiters, talent marketers, talent leaders, hiring managers, HR and HRIT — empowering diverse and global enterprises with innovative products including Phenom X+ Agentic AI and Generative AI, Career Site, Chatbot, CMS, Talent CRM, X+ Screening, Automated Interview Scheduling, Interview Intelligence, Talent Experience Engine, Campaigns, University Recruiting, Contingent Talent Hiring, Onboarding, Talent Marketplace, Workforce Intelligence, Career Pathing, Gigs, Mentoring, and Referrals. Phenom has earned accolades including: Inc. 5000's fastest-growing companies (5 consecutive years), Deloitte Technology's Fast 500 (4 consecutive years), 11 Brandon Hall 'Excellence in Technology' awards including Gold for 'Best Advance in Generative AI for Business Impact,' Business Intelligence Group's Artificial Intelligence Excellence Awards (3 consecutive years), The Cloud Awards 2025/2024, The A.I. Awards 2024, and a regional Timmy Award for launching and optimizing (2020). Headquartered in Greater Philadelphia, Phenom also has offices in India, Israel, the Netherlands, Germany and the United Kingdom. For more information, please visit Connect with Phenom on LinkedIn, X, Facebook, YouTube, Instagram and TikTok. View source version on Contacts Jennifer
Bloomberg
8 minutes ago
- Bloomberg
SMBC Plans SRT Tied to $8 Billion of Loans Made to Private Funds
Sumitomo Mitsui Banking Corp. is sounding out investors for a significant risk transfer tied to a portfolio of loans to private market funds, according to people familiar with the matter. Bankers at SMBC are discussing a SRT linked to about $8 billion of subscription lines, a type of credit that is typically extended to private equity and other private market funds to help them manage liquidity, said the people, who asked not to be identified because the matter is private.
Forbes
35 minutes ago
- Forbes
Is AI Safe For Software Development?
Arthur Hicken is chief evangelist at Parasoft, a global leader in automated software testing solutions. It should come as no surprise that the common response to concerns about AI's safety for software development is: 'It depends.' AI is exceptional at many things, like handling common coding tasks. But when AI is forced to consider context or deal with incomplete instructions, you risk compromising software safety and security. Software bugs are caused more often by insufficient requirements than poor code. Add AI to the mix and you introduce increased opportunities to compromise code quality, reliability, security and safety. Sure, AI makes it easy to automate software creation and testing—if you start with clearly understood instructions. This same problem extends to the prompts given to the system to generate code or fixes. If the prompt is ambiguous, incomplete or otherwise incorrect, AI is unlikely to produce the correct code. Unfortunately, however, a lot of software development is designed using a move-fast-and-break-things philosophy due to inexact specifications and evolving rules. Put AI on an imprecise path and the opportunity to veer off course grows significantly. Ambiguity is the enemy of software development, so it is reasonable to expect uncertainty to be one of the biggest obstacles to ensuring AI-produced software is safe for deployment. AI In The Mirror The phrase 'garbage in, garbage out' describes the results of working with vague specifications. AI exacerbates this issue because it has not learned yet how to recognize code quality. Today, AI is a mirror of ourselves—not as individuals, but as a whole, because it looks at the sum of software code that humans have written and reflects it back to us. Since few objective measures exist for determining whether code is good or bad, AI simply looks for code that will solve the requirement it is given without taking quality into account. While matching coding patterns can yield code that does what the developer wants, more learning is required to help AI recognize good coding practices. Major attributes must be considered, such as quality, security, performance and maintainability. Until then, early AI interactions are likely to recommend code that is not completely up to snuff. And it's not AI's fault, as it just echoes what is found without being able to apply context to the results. The good news is that, over time, AI will become increasingly adept at discerning between good and bad code. But like newbies on your development team, it needs to be mentored first. Beginner programmers are not given unfettered access until they earn trust by proving their code is reliable, safe, maintainable, editable and scalable. Why should AI-generated code be different? The Capricious Prodigy Think of AI as a capricious prodigy who has the potential to be brilliant but occasionally does something idiotic without warning. Most days, this wunderkind quickly produces helpful code suggestions. While exceedingly clever, however, AI-driven solutions also can present a false sense of security that they know what they're doing all the time, even when that is not true. Unfortunately, new whiz kids become easily distracted and careless unless given explicit directions. AI needs around-the-clock oversight from experienced programmers to improve accuracy. Skilled experts are ideally suited to discover early opportunities for AI to become a force multiplier. Armed with knowledge and experience, senior-level developers are poised to accomplish greater feats of creative problem solving through measured applications of AI. I believe that when AI receives detailed guidance from development experts, the results can lift the entire team's productivity. Conversely, providing AI tools to everyone regardless of skill level is more likely to cause a precipitous drop in productivity along with a spike in software errors. Not everyone agrees with this thinking, especially developers of AI-coding assistants and Meta CEO Mark Zuckerberg. He told Joe Rogan earlier this year that AI will replace mid-level engineers soon. While that is a great aspirational goal, I see it as unrealistic. What is most needed right now are vital protective barriers that safeguard development teams and give the new generation of capricious prodigies the best shot at success. It's All About The Guardrails Guardrails along highways prevent driving our cars off the road or into oncoming traffic. AI guardrails for software development perform similar functions by protecting teams from inadvertently introducing software bugs or security risks. That is why it is critical to share rules, best practices and automated controls that guide AI to move decisively within safe and efficient boundaries. I cannot overstress the importance of peer review to ensure your capricious AI prodigy operates within specific parameters, encompassing everything from basic naming conventions to acceptable behaviors. Remember, constant coaching and immediate feedback play equally pivotal roles in training AI as well as mentoring the newest member of your development team. Establishing effective guardrails is not about relying on a single tool, but about creating a strategic ecosystem of safeguards that reinforce one another. For example, static code analysis provides an extra measure of protection by examining code structure, syntax and patterns to find potential bugs, vulnerabilities and other violations—but this must be complemented by other foundational practices to ensure reliability and maintainability at every stage of the development lifecycle. Approaches like automated static code analysis can function like a pair programmer or 'buddy system'—flagging bugs, vulnerabilities or deviations from coding standards in real time. When complemented by other approaches such as integrated code coverage or unit testing, these safeguards can help provide critical visibility across the development lifecycle. To reap the benefits from AI to boost quality in software development and testing requires experience and mature internal processes. Quality must be viewed as integral to a complete ecosystem of safeguards to ensure seamless collaboration between software developers, testers and quality assurance teams. Regular check-ins, ongoing training, open communication and well-documented processes are essential to keeping pace with rapid AI advancements. To increase AI's effectiveness and efficacy for software development, apply both the right mindset and testing methodologies to all code, generated by humans and AI alike. In doing so, we give AI the best opportunity to fulfill its potential to transform software development, safely and securely. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
