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Cortical Labs unveils CL1: The world’s first commercial biological computer

Singapore- and Australia-based Cortical Labs, which develops a new class of artificial intelligence using human neurons, has launched the CL1, the world’s first commercial biological computer, at the Mobile World Congress in Barcelona.

This innovative technology fuses lab-cultivated neurons from human stem cells with hard silicon to create Synthetic Biological Intelligence (SBI), a more advanced and sustainable form of AI.

The CL1 presents vast opportunities in medical sciences and the technology sector. It aims to enhance drug discovery and testing, improve personalised medicine, and aid in early disease detection.

The CL1 can grow, adapt, and learn faster than purely silicon-based AI while consuming less energy. This could lead to greater automation, reduced energy consumption, and advancements beyond today’s Large Language Models (LLMs), offering new possibilities for autonomy in fields such as robotics.

Also Read: Cortical Labs, the startup behind DishBrain, closes US$10M financing round

Dr Hon Weng Chong, founder and CEO of Cortical Labs, stated that the CL1 is the culmination of a six-year vision to democratise this technology, making it accessible to researchers without specialised hardware and software.

Key features of the CL1:

  • Available individually or in racks containing 30 units, each rack requires only 850  to 1,000 watts of energy.
  • Fully programmable bi-directional stimulation and read interface, tailored for neural communication and network learning.
  • An integrated system providing a perpetual embodiment of neural cultures within a custom perfusion life support system.
  • Integrated development environment for rapid experimental iteration and applications.
    Python API for simple, real-time applications, giving the user full control.
  • Touchscreen enabled to visualise system status, view live data, or run pre-packaged assays.
  • Contained unit that does not require an external computer to operate; all recordings, applications, and life support are on the device.

Units and racks of the CL1 will be manufactured to order and shipped to specialised laboratories and facilities with cell-growing capabilities before the end of Q2. Cortical Labs also offers wetware-as-a-service (WaaS), enabling remote access to cultivated cells via the cloud for application development.

In 2022, Cortical Labs’s neurons learned to play Pong, demonstrating synthetic biological intelligence through rapid learning and goal-directed behaviour when embedded in a simulated game environment. The neurons physically grow across a silicon chip with pins that send and receive electrical impulses, creating a high-bandwidth connection between an organic neural network and a digital world. The Biological Intelligence Operating System (biOS) constructs their reality by sending information via electrical signals and converting neuron activity into actions.

In April 2023, Cortical Labs closed a US$10 million financing round led by Hong Kong-based Horizons Ventures. The round also saw participation from LifeX Ventures, Blackbird Ventures, In-Q-Tel, and Radar Ventures.

 

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From crypto euphoria to economic unease: A world on edge in March 2025

The question at hand—analysing the retreat of global risk sentiment amid soft US economic data, tariff threats, and shifting dynamics in digital asset markets—offers a fascinating lens into the interconnectedness of today’s economic landscape. Below, I’ll provide my detailed take on these events, weaving together the facts, data, and my own perspective, dissecting the ebb and flow of markets and policy decisions.

Let’s start with the US economic data, which has undeniably cast a shadow over global risk sentiment. The latest ISM manufacturing index figures were a mixed bag, but the overriding tone was one of disappointment. The headline index underwhelmed market expectations, signalling a slowdown in manufacturing activity—a critical pillar of the US economy.

Even more concerning were the sub-indices: employment and new orders, both vital indicators of future growth, slipped unexpectedly into contraction territory. This wasn’t just a minor blip; it hinted at deeper structural challenges, potentially exacerbated by uncertainty over trade policies.

Meanwhile, the prices index surged, a move that caught many off guard. This spike aligns with growing fears about inflationary pressures tied to President Donald Trump’s tariff rhetoric. When you consider that tariffs on imports from Canada, Mexico, and China could raise input costs for manufacturers, it’s no surprise that the prices index is flashing warning signs. My view here is that the US economy is at a crossroads—softening activity paired with rising costs could squeeze profit margins and dampen business confidence further, especially if trade tensions escalate.

The market reaction to this data, compounded by Trump’s tariff announcements, was swift and brutal. Stocks sank to session lows, with the MSCI US index posting its worst day of the year so far, down 1.8 per cent. Sector-specific declines were even more pronounced—Energy, Information Technology, and Consumer Discretionary took the hardest hits, dropping 3.5 per cent, 3.5 per cent, and 2.3 per cent, respectively.

This wasn’t random; these sectors are particularly exposed to trade disruptions. Energy firms, for instance, rely on stable commodity flows, while tech and consumer discretionary companies often depend on global supply chains that could be upended by tariffs. Trump’s declaration that there’s “no room left” to negotiate a halt to the 25 per cent tariffs on Canada and Mexico, alongside an additional 10 per cent levy on Chinese goods, sent a clear message: he’s doubling down on protectionism.

From my perspective, this stance risks igniting a broader trade war, one that could reverberate beyond US borders. Canada and Mexico, key trading partners under the USMCA, might retaliate, while China’s response could further complicate an already fragile global trade environment. The immediate market sell-off reflects this fear, but I suspect the longer-term impact—on growth, inflation, and investor confidence—could be even more profound.

Also Read: Global markets steady as PCE data softens, Trump names Bitcoin in strategic reserve

Turning to the bond market, we saw a flight to safety that pushed Treasury yields lower. The benchmark 10-year Treasury yield slid more than 6 basis points to 4.16 per cent, while the 2-year yield dipped about 4 basis points to 3.96 per cent. This drop suggests investors are seeking refuge amid the uncertainty, betting that weaker economic data and trade risks might force the Federal Reserve to reconsider its rate path.

Personally, I think this yield movement also reflects a growing disconnect between market expectations and Fed rhetoric. The Fed has signalled a cautious approach to rate cuts, but if manufacturing continues to falter and tariffs stoke inflation, we could see a tricky balancing act ahead—supporting growth without letting price pressures spiral out of control.

The US Dollar Index, meanwhile, slipped 0.8 per cent, a move I attribute to both the softening data and a broader risk-off mood. A weaker dollar, however, provided a tailwind for gold, which rose 1.2per cent after hitting a three-week low in the prior session. Gold’s resurgence as a safe-haven asset makes sense here; with trade wars looming and economic signals faltering, investors are hedging their bets. I’ve always viewed gold as a barometer of fear, and its uptick tells me that unease is simmering beneath the surface.

Commodities offered another angle on this story, with Brent crude plunging 2.1 per cent after OPEC+ confirmed plans to ramp up production starting in April. This decision defied earlier expectations of a delay, adding downward pressure on oil prices already rattled by tariff concerns.

From my standpoint, OPEC+’s move is a calculated gamble—boosting supply could stabilise markets in the short term, but if global demand weakens due to trade disruptions, they might overshoot. Energy stocks, already reeling from the MSCI US decline, felt this sting acutely. It’s a reminder that even as US-centric policies dominate headlines, global players like OPEC+ retain significant sway over market dynamics.

Across the Atlantic, Europe presented a contrasting picture. Equity indices closed near session highs, buoyed by gains in defense stocks as hopes of increased military spending grew. This optimism ties into the fragile geopolitical landscape, particularly Trump’s decision to pause US military aid to Ukraine—a move that followed a contentious Oval Office meeting. I see this as a pivotal shift; with US support waning, European nations may feel compelled to bolster their own defenses, especially amid ongoing tensions with Russia.

Also Read: Global markets on edge: Trade wars, tariffs, and crypto chaos in focus

On the economic front, Eurozone inflation eased to 2.4 per cent year-over-year in February, down from 2.5 per cent in January, slightly above consensus forecasts. This modest cooling keeps the European Central Bank (ECB) on track for a rate cut at its upcoming meeting, a view shared by most market participants.

I’d argue this is a sensible move—Europe’s economy needs stimulus to offset external pressures, including potential fallout from US tariffs. The brighter equity performance in Europe, against the US’s gloom, underscores how regional dynamics can diverge even in a globally linked market.

Then there’s the wild card: digital assets. The euphoria surrounding Trump’s March 2 announcement of a strategic crypto reserve—featuring Bitcoin, Ether, XRP, SOL, and ADA—quickly gave way to skepticism by March 3. Initially, the news sparked a rally, with cryptocurrencies rebounding from their worst month since 2022 (the Bloomberg Galaxy Crypto Index had slumped nearly 28 per cent in February).

Trump’s inclusion of lesser-known tokens like XRP, SOL, and ADA alongside heavyweights Bitcoin and Ether was bold, even visionary to some. It suggested a US government embrace of digital assets as a strategic asset class, potentially legitimising crypto in ways unseen before. But as the day wore on, doubts crept in. Investors began questioning the feasibility and merits of holding such a diverse basket, especially as tariff news soured risk sentiment.

By late afternoon in New York, most of the prior day’s gains evaporated, with the Nasdaq 100 Index—tech-heavy and crypto-correlated—dropping over 2 per cent. My take? The crypto reserve idea is intriguing, but its timing couldn’t be worse. With tariffs threatening economic stability, the appetite for speculative assets like crypto wanes. I suspect this volatility reflects a broader tension: crypto’s promise as a hedge or store of value versus its sensitivity to macroeconomic shocks.

Stepping back, the global risk sentiment retreat feels like a confluence of self-inflicted wounds and external shocks. The US’s soft data patch—evident in the ISM figures—signals a domestic slowdown that tariffs could exacerbate. Trump’s hardline trade stance, while politically resonant, risks alienating allies and inflating costs at a delicate moment. Europe’s relative resilience offers some hope, but it’s tempered by geopolitical fragility, notably around Ukraine.

And in the digital realm, crypto’s rollercoaster ride mirrors the broader uncertainty. Asian markets, opening lower, and US futures, hinting at a rebound, suggest we’re in for more choppiness. As a journalist, I’d say this moment demands vigilance—markets are pricing in risks, but the full fallout of these policies remains unclear. If Trump’s tariffs stick, we could see a prolonged drag on growth; if they falter under pressure, sentiment might recover.

For now, I’m watching the Fed, the ECB, and the crypto space closely—each holds a piece of this intricate puzzle.

Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic.

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Empowering the corner store: How Packworks is digitising sari-sari shops in the Philippines

For decades, sari-sari stores have been an integral part of Filipino communities, serving as go-to outlets for daily essentials. However, these small businesses often face economic difficulties, limited financial access, and operational inefficiencies. Recognising these challenges, Packworks, a Philippine-based startup, has developed a business-to-business (B2B) platform designed to digitise and streamline sari-sari store operations.

Founded in 2018 by Bing Tan, Ibba Bernardo, and Hubert Yap, Packworks emerged from the founders’ firsthand observations of the difficulties faced by small store owners in remote areas. Initially designed to serve a handful of multinational companies’ sari-sari store partners, the platform has since evolved into a nationwide solution that connects small businesses with brands, wholesalers, and financial institutions.

Before adopting digital tools, sari-sari store owners relied on manual methods for inventory management, sales tracking, and sourcing products. They often purchased stock from supermarkets and wholesalers, incurring high operational costs due to fuel expenses and retail markups.

“At Packworks, we identified these challenges and developed a digital solution to help these businesses operate with maximum gain, greater security, and access to goods and financial services,” said the company. “By connecting sari-sari store owners directly with brands and retailers, we offer them access to a variety of cheaper goods compared to supermarkets or grocery stores.”

Moreover, Packworks collaborates with financial institutions to provide microloans to store owners, helping them manage cash flow and withstand market pressures. With a network of over 300,000 sari-sari stores, the platform serves as a bridge between grassroots entrepreneurs and essential financial services.

Also Read: How soonicorn GrowSari plans to expand its reach to 300K sari-sari stores in Philippines

The adoption of digital tools has transformed the operations of many sari-sari stores. According to Packworks, larger stores that partnered with the platform have seen sales growth of between 34 and 51 per cent.

“One of the innovative initiatives we implemented was deploying Starlink connectivity in partnership with Help.NGO, AWS, and Starlink,” the company explained. “By providing these sari-sari stores with internet access, they were able to fully utilise the Packworks app, significantly optimising their operations. Additionally, offering free Wi-Fi to customers created a community hub that led to a 50 per cent increase in transactions.”

Beyond operational efficiencies, connectivity has enabled these businesses to become digital hubs, offering essential services to local communities. While the technology is crucial during natural disasters, it also plays a vital role in day-to-day commerce, allowing store owners to adapt and thrive in an increasingly digital economy.

The unique traits of sari-sari store owners

Sari-sari store owners display distinct entrepreneurial behaviours as they transition to digital platforms. Packworks has observed that these micro-entrepreneurs maintain a strong community-centric approach. Many extend informal credit to regular customers, reinforcing the communal bond that ties their business success to the well-being of their neighbourhoods.

Additionally, sari-sari store owners are highly adaptable and strategic in sourcing products. “They consistently compare prices across wholesalers, supermarkets, and digital platforms to ensure they get the best deals,” the company noted. “They are also highly adaptable, evolving their product offerings based on community needs and competitive trends.”

Unlike traditional retailers, these store owners prioritise long-term partnerships over transactional relationships. Packworks aims to support this mindset by positioning itself as a strategic partner rather than just a service provider.

Peer influence plays a crucial role in encouraging sari-sari store owners to embrace digital tools. As digital transactions become more prevalent, more store owners are shifting towards online banking, digital payments, and inventory management solutions.

“Sari-sari stores have long adapted to meet the needs of their communities,” Packworks said. “With digitisation, store owners gain a deeper understanding of their customers, respond to evolving market needs, and maintain their role as vital social hubs.”

Also Read: Promoting digital payments in the Philippines: Why last-mile communities are key

Looking ahead

Packworks continues to develop new features to further empower sari-sari store owners. Among the upcoming initiatives are expanding internet access to remote stores, enabling better operations and community engagement; deploying digital LCD signs that display targeted promotions based on sales data, allowing FMCG brands to run targeted deals through sari-sari stores, and using a research grant from the Department of Science and Technology (DOST) to develop AI-powered insights for sales trends and inventory management.

Packworks envisions transforming sari-sari stores into digital hubs that not only sustain small businesses but also bring essential services closer to communities. By leveraging technology, it aims to ensure that micro-retailers remain competitive, resilient, and well-integrated into the evolving digital economy.

Image Credit: Packworks

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Regulating AI in Asia Pacific: Can companies keep up?

As artificial intelligence (AI) adoption accelerates, companies across the Asia Pacific (APAC) face increasing regulatory scrutiny.

A new report highlights that 77 per cent of businesses are already subject to AI-related regulations or expect to be within five years. Additionally, 90 per cent anticipate compliance obligations related to AI-adjacent laws, including cybersecurity, data protection, and consumer rights.

Also Read: Why Generative AI requires a paradigm shift in technology and culture

Governments across APAC are responding swiftly. Singapore, a leader in artificial intelligence governance, has introduced multiple initiatives, including AI Verify, the Model AI Governance Framework for Generative AI, and Safety Guidelines for Model and App Developers.

India has taken steps with the Digital Personal Data Protection Act 2023 and an AI regulatory sandbox. Australia is proposing mandatory guardrails for high-risk AI applications, while Saudi Arabia has rolled out AI ethics guidelines and generative AI regulations.

South Korea took a significant step in 2023 by introducing an AI liability law, setting a precedent for how businesses must manage AI risks.

Other countries, including China and Brazil, are also refining intellectual property and copyright laws to account for artificial intelligence-generated content.

Businesses struggle with AI risks despite revenue potential

While business leaders acknowledge the value of responsible AI, many remain unprepared to manage its risks effectively. Research suggests that companies pioneering responsible artificial intelligence could see an 18 per cent increase in AI-related revenue, yet most organisations lack comprehensive risk mitigation strategies.

One of the biggest challenges is underestimating the scale of artificial intelligence risks and the regulatory landscape’s complexity. Without robust compliance frameworks, companies risk falling behind as governments ramp up enforcement efforts.

“Organisations that fail to implement responsible artificial intelligence governance will struggle to scale AI innovation while meeting regulatory expectations,” the report warns.

The road to responsible AI leadership

To navigate the evolving AI landscape, businesses must adopt a proactive approach to responsible AI. Experts outline five key priorities for organisations aiming to mitigate risks while driving innovation:

  • Establish AI governance and principles: Develop clear policies, guidelines, and controls to ensure artificial intelligence is deployed ethically.
  • Conduct AI risk assessments: Systematically evaluate and categorise risks across artificial intelligence use cases.
  • Enable responsible AI testing: Integrate third-party tools and services for continuous risk assessment.
  • Implement ongoing monitoring and compliance: Build dedicated artificial intelligence compliance teams to oversee model performance and ethics.
  • Address workforce impact, privacy, and security: Ensure employees have the right skills to manage AI responsibly while safeguarding data and consumer rights.

APAC’s AI future: Balancing innovation and regulation

As AI regulations evolve, businesses must align artificial intelligence strategies with compliance mandates to maintain a competitive edge. Industry pioneers already place responsible AI at the core of their digital transformation, ensuring risk mitigation is a strategic advantage rather than a regulatory burden.

Also Read: How are the companies you invest in leveraging AI?

By embracing responsible AI, APAC companies can turn regulatory pressure into business value, positioning themselves for sustainable growth in the AI-driven economy.

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Digital transformation and AI in Southeast Asia: Major impacts on the workforce

AI and digital transformation are redefining the global economic landscape, and Southeast Asia is no exception. With a young population and one of the fastest technology adoption rates in the world, several industries are undergoing major changes. But which industries are experiencing the most profound shifts, and how does the mass adoption of AI impact the local workforce

Manufacturing and automation

Southeast Asia, particularly countries like Thailand, Indonesia, and Vietnam, is a global manufacturing hub. The rise of automation and Industry 4.0 is significantly disrupting this sector.

  • The electronics industry in Vietnam: Companies such as Samsung and Foxconn have heavily invested in the robotisation of their assembly lines. The result: increased productivity but also a reduced demand for low-skilled labour. Therefore, many workers must retrain for roles in machine maintenance or automated supply chain management.
  • AI impact – Predictive maintenance and quality control: Artificial intelligence can predict failures before they occur, reducing production interruptions. AI-assisted vision systems also improve quality control, minimising the need for human inspections. For example, Siemens already uses AI solutions to analyse the performance of industrial equipment in real-time.

E-commerce and digital services

With the rise of e-commerce and digital payments, the retail industry is undergoing a major transformation. Companies like Lazada and Shopee have redefined consumer habits in the region.

  • Digitalisation of markets in Indonesia:  Tokopedia and Gojek have enabled small merchants to go digital. While this has created new opportunities, it has also put traditional sellers at a disadvantage if they struggle to adapt to digital tools quickly.
  • AI impact – Personalised recommendations and inventory management: AI analyses consumer preferences and optimises product recommendations, boosting online sales. Additionally, it enhances inventory management by accurately forecasting demand. Alibaba and JD.com utilise these technologies to refine their offerings and improve customer experience.

Also Read: The agritech challenge in Indonesia: Can AI and mobile apps enhance productivity?

Transport and logistics

The rise of digital platforms has disrupted the transportation sector. Ride-sharing and on-demand delivery services have created new opportunities but have also pressured traditional business models.

  • Grab and the gig economy in Malaysia: Grab, based in Singapore but dominant in Malaysia, has created thousands of jobs for drivers and delivery personnel. However, these jobs remain precarious, lacking social security and stable income guarantees, prompting governments to reconsider labour regulations.
  • AI impact – Route optimisation and predictive fleet management: AI helps transport companies optimise routes, reducing fuel costs and improving delivery speeds. Predictive fleet management systems also improve vehicle maintenance. DHL and FedEx have invested in these technologies to enhance logistics efficiency.

Agriculture and smart technologies

Agriculture, a vital economic pillar in many Southeast Asian countries, is also undergoing significant changes with the adoption of the Internet of Things (IoT) and artificial intelligence.

  • Precision agriculture in Thailand: Companies like Ricult and E-fishery in Thailand use AI and drones to optimise crop yields and reduce water waste. While this boosts efficiency, it also requires farmers to develop digital skills to remain competitive.
  • AI impact – Soil analysis and crop forecasting: AI provides farmers with precise recommendations for irrigation and fertiliser usage based on weather conditions and soil data. John Deere and Bayer are developing AI-based solutions to enhance agricultural practices.

Finance and fintech

Fintech is revolutionising banking services in Southeast Asia, where many individuals still lack access to traditional financial institutions.

  • The rise of fintech in the Philippines: GCash and PayMaya enable millions of unbanked Filipinos to access online payments and credit. However, this transformation has also led to job reductions in physical bank branches, pushing employees toward specialised roles in data analytics and cybersecurity.
  • AI impact – Customer service automation and fraud detection: AI-powered chatbots are replacing human advisors in customer service roles. Additionally, machine learning algorithms detect fraudulent transactions in real-time, enhancing financial security. Companies like BPCE Groupe or Revolut leverage these technologies to improve user experience and security.

Also Read: The art of balancing speed and sustainability in a fast-paced world

Towards a more skilled workforce?

AI and digital transformation in Southeast Asia present both opportunities and challenges. While they create new jobs, they also make certain professions obsolete. To mitigate these effects, governments and businesses must invest heavily in workforce training and digital skills development to ensure a smooth transition into this new era of work.

AI and digital transformation bring both opportunities and challenges to Southeast Asia. While they create new jobs, they also make certain professions obsolete. To adapt, industries should invest heavily in workforce training and digital skills development to ensure a smooth transition into this new era of work.

  • Re-skill the workforce: Invest in AI, automation, and data training programs to help workers transition into new roles.
  • Promote lifelong learning: Educational institutions should integrate digital and AI-focused courses to prepare future professionals.
  • Support SMEs in digital adoption: Provide more et focused financial aid, training, and access to technology to help small businesses stay competitive.
  • Regulate the gig economy: Ensure fair wages, job security, and benefits for gig workers affected by automation and the massive adoption of AI.

By adopting these strategies, Southeast Asian industries can smoothly transition into an AI-driven economy while ensuring job security and workforce adaptability.

Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic.

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