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Showing posts with label Educational. Show all posts
Showing posts with label Educational. Show all posts

Sunday, March 23, 2025

Getting it right

 

US-china trade needs to improve as much as their bilateral relationship deserves much better, but not at the present rate.

Auto ambition: With limited competition abroad but hypercompetition at home, China’s EV industry has powered ahead. — AFP

T

HE constant stream of major global events can be disorienting, particularly when their consequences spin off to produce secondary effects.

Worse, self-interested politics enters as a disabling narrative to make factual understanding more difficult. How to make sense of all this?

One way is to identify the root causes and critically analyse how they develop and proceed. Factual accuracy in descriptions and definitions always helps, while imprecision makes everything more difficult.

Much relates to a rising China and the state of US-China relations. With the world’s biggest economies, theirs is the most critical bilateral relationship for the world and also the most politically fraught. 

In 2004 China displaced the US as Japan’s main trade partner. The following year it displaced the US as the world’s biggest consumer market.

In 2006 the EU became China’s biggest trade partner while China became the EU’s second-biggest. In 2009 China displaced the US as Africa’s main trade partner, and in 2010 it beat Japan as the world’s second-largest economy.

China’s external trade covered a wide range of goods and services as its productive forces gained critical mass. In the process, industrial clout came not simply from resources and scale but also strong production ecosystems and supply chains, including a skilled workforce.

China quickly developed as the “world’s factory” with the Global North’s industries choosing to relocate production there. They flocked to establish factories in China offering the best returns on investment.

But while foreign companies retained older technology like internal combustion engines (ICE), China prioritised electric vehicles (EVs) to cut air pollution and dependence on imported oil. There was no domestic oil lobby to derail EV development, only government encouragement instead.

With limited competition abroad but hypercompetition at home, China’s EV industry powered ahead. That meant a quick and considerable lead in technology and marketing overseas.

In 2009 China surpassed the US as the world’s largest automobile market. This spanned both ICE vehicles and EVs, with a muted but growing market for the latter.

In 2020 China displaced the US as the EU’s top trading partner. That same year it acquired the world’s largest foreign exchange reserves, developed the finest fintech, and had the most companies listed in the Fortune Global 500.

China’s auto production was booming, exploding into a global market hungry for sophisticated yet affordable vehicles. China fulfilled that need better than any other country.

In 2021 Chinese auto exports surpassed South Korea’s, and the following year it displaced Germany as the world’s second-biggest exporter. Within months China beat Japan as the world’s top auto exporter.

Much the same is happening with other sectors, if at different growth rates. China continues rising through the rapid development of multiple industries, particularly when several foreign markets remain unexplored or under-served.

Western automobile manufacturers in China felt a need to work more with Chinese companies, particularly on EVs and hybrids. They prefer joint ventures to discriminatory tariffs or sanctions on Chinese vehicles from their governments.

Yet last April US Treasury Secretary Janet Yellen visited China to complain about “excess capacity” and “overproduction”. It was more a political point than an economic argument.

Excess capacity is surplus productive capability over and above what is needed or appropriate. Overproduction is the additional goods produced and left idle because of insufficient demand.

As the world’s factory with regional markets still untapped, China has no excess capacity or overproduction. High Western tariffs to stifle demand may create a semblance of either, but artificially inducing a situation to accuse Chinese industry of it is dishonest.

Sometimes dumping happens with a specific commodity temporarily, typically for an intermediate or upstream item. But that is different.

After Joe Biden’s administration acted against Chinese EVs, batteries and solar panels, they shifted to markets in Russia, Latin America, Central Asia, Africa and South-East Asia. China is a global producer, and since there is no global overcapacity or overproduction, it is not engaging in either.

Chinese industry’s ultra-competitiveness seriously challenges US industry, notably in the latter’s obsolete business models. Regaining US global competitiveness requires extensive retooling, not distorted narratives.

From 2011, China has consistently been the world’s top patent applicant country. Each year it graduates more STEM students than the US population has in total, having produced the most STEM PhDs every year since 2007.

In 2021 China beat the US in its national share of published high-impact AI papers. In the same year it also displaced the US with the highest national net worth.

Such data from established Western sources also noted in 2023 that China had seven of the world’s top 10 universities conducting leading scientific research. Last year China had six of the world’s top 10 STEM institutions.

The US is now denying students from China study visas. America would be greater in training more American students without restraining others who pay to be there.

By Bunn Nagar,  Director and Senior Fellow of the BRI Caucus (Asia-Pacific), and Honorary Fellow at the Perak Academy. The views expressed here are solely the writer’s own.

Heart ailments affect young ones too

Protecting heart health requires regular monitoring, specialised care and awareness for adults with congenital heart disease.-123rf.com

 PETALING JAYA: Having been born with a congenital heart defect, Sheena has battled a life and death situation twice in her lifetime.

“I was born with heart disease and had to undergo open-heart surgery when I was six,” says the 28-year-old executive.

“I had another episode at 26 when I collapsed and my colleagues rushed me to hospital. I was hospitalised for a week.”

Sheena, who was diagnosed with heart disease as a child, said she was robbed of a normal childhood.

“I had to be extra careful with my diet and I could not participate in physical activities. I often felt left out,” she said.

Even as an adult, she remains mindful of participating in physical activities, her diet, and she goes for regular check-ups.

ALSO READ: Don’t ignore that rhythm in your heart

Dr Wong Teck Wee, a consultant interventional cardiologist and physician at the iHEAL Medical Centre in Kuala Lumpur, said ischaemic heart disease is no longer a condition confined to older adults.

He said ischaemic heart disease happens when vessels supplying blood to the heart become narrowed or blocked, mostly due to fatty deposit build-up.

“We are seeing heart disease among younger people, even in their 30s and 40s, and in some cases, even earlier,” he added.

Dr Wong attributed the rising number of cases to poor diet, lack of exercise, stress, heavy smoking, and rising rates of obesity, high cholesterol, and diabetes among the younger population.

He said having a balanced diet rich in fruits, vegetables, whole grains and low fats can help lower the risk of heart disease.

Dr Wong said the most common and tricky part of ischaemic heart disease is that early on blockages at less than 70% can be silent.

“Some people may feel fine until it’s quite advanced,” he said, adding that such conditions can be detected through routine health screenings, electrocardiograms, stress tests or coronary computerised axial tomography (CT) scans.

ALSO READ: 100,986 heart disease patients admitted at MOH hospitals in 2023

Consultant cardiologist and electrophysiologist Dr Sathvinder Singh Gian Singh said early heart disease signs include chest pain or discomfort upon exertion.

This can be accompanied with sweating or pain radiating to the left arm, back and jaw.

Other signs are shortness of breath on mild exertion and swelling on the legs, needing to sleep with the pillow at higher angles, waking up at night while gasping for air or experiencing fainting episodes and palpitations.

“These are early signs that you might have a pending heart attack,” said Dr Sathvinder, who is attached to Hospital Sultan Idris Shah, Serdang.

Early signs of a heart attack, he added, include sudden pain or pressing on the front of the chest that does not go away or gets worse.

“This can happen with or without accompanying signs of sweating or pain going to the left arm, back or jaw. The patient should be rushed immediately to the nearest health care facility,” he added.

He said if the person is not responsive, an automated external defibrillator (AED) can be used to assess his heart rhythm and he might need an electrical cardioversion if necessary.

Consultant sports medicine physician Dr Arvin Raj Goona­segaran advised sedentary individuals to get pre-clearance from sports physicians if they want to take part in physical activities.

“This will be helpful in excluding cardiac conditions, allowing physicians to give recommendations on how to go about exercising. Start slowly and progressively increase difficulty and duration of exercise as you adapt to it.”

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Rm9bil lost to scams in 10 years

 

Over 200,000 online cases recorded with figures rising


Portal Semak Mule 2.0 bantu rakyat kesan identiti syarikat ..

Semak Mule - PDRM   

KUALA LUMPUR: More than 200,000 online scam cases have been recorded in the last 10 years, resulting in almost Rm9bil in losses.

And there could be many more cases that go unreported.

The number of cases has also been increasing every year. In 2014, there were 6,309 cases but last year, the number rose to 35,368, according to Bukit Aman Commercial Crime Investigation Department (CCID) statistics.

“More and more victims are being duped by a myriad number of scams used by syndicates. This year alone, we have already recorded 10,218 cases as of March 16,” the police said.

In terms of losses, the amount was Rm8.53bil since 2014, with the highest losses recorded in 2023 (Rm1.21bil) and 2024 (Rm1.57bil).

This year, as of March 16, Rm490mil in losses had already been recorded.

Investment scams have been the most prevalent in the last 10 years, accumulating significant losses, especially in the last two years.

In 2014, the losses in such scams were Rm53.4mil, rising to Rm245.05mil in 2021 and Rm219.83mil in 2022.

In 2023 and 2024, though, losses spiked to Rm472.15mil and Rm848.62mil respectively.

“This year, Rm301.8mil has been lost to investment scams, the highest number compared with other scams. However, in terms of the number of cases, telecommunication scams were the highest this year, with 4,509 cases.

“Others are online purchase scams (2,118 cases), investment scams (1,652) and loan scams (1,159),” the police said.

The public is advised to make use of the Semakmule 2.0 portal.

The portal has received 33.4 million visitors since it was established in 2020 and the people are encouraged to use the facility to check the list of mule bank accounts, telephone numbers and shell firms used by scammers.

“Initially, the police set out to list phone numbers and mule bank accounts, but have since improved the portal to include the names of shell companies.

“Visitors to the site are able to do searches on companies that might be used in commercial crimes, including investment scams. The portal has listed more than 107 companies so far,” the police said.

As of Jan 21, a total of 238,006 bank accounts and 191,960 phone numbers have been listed on Semakmule.

Another avenue that can be used is the National Scam Response Centre (NSRC).

The public can report scams by calling the 997 hotline and make enquiries too.

- by By FARIK ZOLKEPLI farik@thestar.com.my 22 Mar 2025

Semak Mule 2.0 portal to help identify the identity of ...




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Monday, March 17, 2025

Coding 101: CRACKING THE CODE, IS AI REWTITING THE RULES?

 

'Learn to code' has long been the golden rule for breaking into tech – but has generative AI rewritten the playbook? — This visual is human-created, AI-aided

N January, Mark Zuckerberg, Meta’s co-founder and CEO, said on the Joe Rogan Experience podcast that artificial intelligence (AI) would begin to take over the roles of mid-level software engineers this year.

Since ChatGPT’s rise in 2022, many new AI tools have appeared, aiming to simplify programming. However, this has also made programmers feel less secure about their jobs, especially those still in school or just starting their careers.

Daren Tan, CEO of Alphv Technologies, believes that learning to code remains important in the AI era, though the purpose has evolved.

Instead of just writing basic functions, coding skills are now crucial for effectively working with AI, customising solutions, and verifying or fixing AI-generated code.

Tan compares the rise of AI to that of calculators: while calculators didn’t eliminate the need to understand math, they changed how we apply it, making us more productive and better equipped to tackle complex problems.

He emphasises the need for a human touch, stressing that “AI-generated code isn’t quite ready for widespread, unsupervised use”.

“While it’s impressive at generating boilerplate code and solving standard problems, it can produce subtle bugs, logic errors or security vulnerabilities.

“It’s best used as a starting point but needs thorough human review and testing, especially for production systems,” he says.

Tan sees AI as playing a supportive role, despite its sophistication, and stresses the need for oversight to ensure everything functions correctly.

“Think of it like having a very knowledgeable junior developer on your team – great at handling routine tasks and offering suggestions, but still needing human oversight for architecture decisions, security considerations, cost optimisations and business logic implementation,” he says.

Based on his experience, Tan says generative AI tools tend to falter when dealing with new or unique situations, especially those that haven’t been encountered before.

Tan sees AI as playing a supportive role, despite its sophistication, and stresses the need for oversight to ensure everything functions correctly. — DAREN TANTan sees AI as playing a supportive role, despite its sophistication, and stresses the need for oversight to ensure everything functions correctly. — DAREN TAN

He explained that his team had used generative AI to automate genetic test reports. While the AI was effective at generating basic code for many functions, it struggled with some of the innovative approaches they employed.

“The key is learning to work with AI, not expecting it to do everything. It’s like ‘pair programming’ – the AI can suggest and help, but you as a human need to drive the important decisions,” he says.

Senior lecturer and academic leader at the Asia Pacific University of Technology and Innovation (APU) School of Computing, Au Yit Wah, shares a similar perspective, viewing AI as a complementary tool that serves to make programming more accessible.

“AI is not likely to completely replace human programmers. Although AI significantly changes the way developers work, human programmers are likely to remain essential for the foreseeable future.

“One major reason is the complexity and creativity involved in programming. Developing software often requires solving complex, unique problems that demand deep understanding, critical thinking, and innovation.

“AI, while powerful, still struggles with tasks that involve high levels of abstraction and creative design, such as software architecture and the area of UI/UX,” he says.

UI or user interface refers to the visual elements users interact with on a device, while UX or user experience is about how smooth and efficient that interaction feels.

Au adds that while AI can generate code and even identify bugs in the code when properly prompted via natural language programming, the snippets of code still require human expertise to be integrated into a final software solution.

“Human coders must be able to understand the AI-generated code for refining and integrating it into a larger system.

“Without a strong foundation in coding, a strong logical sense, and knowledge of common programming languages, the human coder will not be able to handle the task of putting the AI-generated code to good use,” he says.

Au highlights that despite the progress made with AI-generated code, reliability and security remain an issue.

“The concepts of secure coding strategies and techniques have not been built into the AI-assisted code generation models. Thus, the code generated by the AI models might demonstrate some degree of security features but is not totally reliable.

“For instance, a study by Stanford University found that a significant portion of AI- generated code had security bugs, underscoring the need for thorough testing and validation.

“Additionally, human oversight is crucial – while AI can assist in generating code, developers must carefully review and test it to ensure it meets security and quality standards,” he says.

Lessons in AI

According to Tan, the area where technology is expected to have a significant impact is in education, as there has been a shift in how coding is taught.

He says syllabuses need to be updated quickly to keep pace with this shift, as there is an increasing gap between what is currently taught and what is needed in the field.

“While traditional CS (computer science) enrolment remains strong, there’s growing interest in hybrid learning paths that combine programming fundamentals with AI tools.

“People aren’t learning less coding – they’re learning differently, focusing more on system design, integration and working alongside AI,” he says.

Institutions like Malaysia’s Multimedia University (MMU) have announced plans to establish a Faculty of AI and Engineering by mid-2025. It is also set to introduce AI components into existing Bachelor’s programmes.

Tan says AI is transforming education by offering interactive debugging assistance, generating practice problems and offering instant feedback.

“However, it’s crucial that we teach students to understand underlying principles rather than just relying on AI suggestions,” Tan says.

Au says that while AI can generate code and identify bugs, human expertise is needed to integrate these snippets into a final solution. — APUAu says that while AI can generate code and identify bugs, human expertise is needed to integrate these snippets into a final solution. — APU

Au similarly believes that there will be a paradigm shift in teaching in the IT and coding space.

“The conventional methods of learning coding, problem-solving skills and creative thinking through programming modules not only need to be maintained but also have to be enhanced.

“This is for the purpose of preparing students to use AI tools at the later stages of their formal education.

Tan highlights the need to practice lifelong learning as a principle when in the tech space.

“I have seen lots of fresh grads struggling when they join tech companies because they’re still stuck with outdated frameworks and concepts that nobody uses anymore.

“The reality is tech moves fast. Like, really fast. What worked two years ago might be completely irrelevant now. Think about it – how many of us were talking about prompt engineering or fine-tuning LLMs (large language models) in 2022?

“The challenge isn’t just updating content according to industry needs. It’s about teaching students how to learn and adapt quickly,” he says.

LLMs are designed to process and generate human language. As a subset of AI focused on natural language processing, they enable machines to understand, interpret, and produce human-like text.

According to Au, while it is hard to say if AI has had an impact on the people choosing a career in coding, AI has made the field of coding more accessible as a whole.

He recommends looking at the situation from two perspectives: first, there are students progressing from secondary to tertiary education. Second, there are working adults seeking career changes and self- improvement.

Both groups are increasingly interested in IT and coding due to the AI boom. However, students typically pursue formal education to learn coding.

This trend has led to a surge in enrolment in IT programmes at higher education institutions, especially in AI-related fields. Conversely, adults looking to change careers often prefer AI-powered learning tools, as these are customisable, more affordable, and have lower barriers to entry.

Au also says these learning tools often come with professional certificates upon completing assessments, which have gained popularity as micro-credential programmes offered through online learning platforms.

Au highlights that despite the progress made with AI- generated code, reliability and security remain an issue. — 123rfAu highlights that despite the progress made with AI- generated code, reliability and security remain an issue. — 123rf

The shifting scenes

Tan has observed a rise in “rightsizing” within the US software development market in recent years, with reports indicating smaller intakes at coding schools and bootcamps. However, this trend has not been mirrored in Malaysia.

Tan reiterates that human programmers will continue to be indispensable despite advancements in AI.

“While AI can handle increasingly complex tasks, programming isn’t just about writing code – it’s about understanding business needs, designing scalable systems, ensuring security, and making cost-effective architectural decisions that require human judgement and accountability,” he says.

He says these skills aren’t going anywhere – they’re becoming more valuable. Often, when dealing with stakeholders or clients, they either don’t know what they want or are unaware of what they don’t know.

“We as technical professionals will need to understand their industry, business rules, daily operations and processes in order to propose the right technological solutions to help them improve or solve their problems or pain points,” he says.

For Au, the key is future-proofing oneself by developing a crucial understanding of how software works, with mastery in traditional programming languages such as Python, Java, JavaScript, and C++.

“Strong problem-solving and analytical skills are also crucial, as coding involves breaking down problems into algorithmic steps and converting them into executable solutions.

“The strong fundamentals in theoretical concepts in computer science and good skills in a few of the commonly used coding languages will ensure your relevancy in the coding profession, regardless of AI.

“This foundational knowledge is essential even when working with AI tools. In addition, learning to code from scratch develops strong problem-solving and logical thinking skills.

“These skills are transferable and highly valuable, regardless of whether you’re writing code yourself or using AI to generate it.

“Having a good foundation in those commonly used programming languages and a good understanding of programming logic and constructs will pave the way for coders to provide more accurate instructions to AI tools to generate what the human coder needs,” he says.

Tan feels the future will be one where AI and programmers are in a symbiotic relationship, where humans can be free to “focus on higher-level problems like system architecture, security and complex business logic”.

“Ultimately, what we want to achieve is AI amplifying human capabilities rather than replacing them,” Tan concludes.

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