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Business Times
19-05-2025
- Business
- Business Times
A startup, a scale-up and a hospital bag top accolades at maiden Design AI and Tech Awards
[SINGAPORE] Home-grown semiconductor optics startup MetaOptics Technologies, local autonomous cleaning robot firm LionsBot and Sengkang General Hospital clinched top honours at the inaugural Design AI and Tech Awards (Daita) on Monday (May 19). Jointly organised by The Business Times (BT) and the Singapore University of Technology and Design (SUTD), the competition aims to spur innovators from startups and companies to harness design and technology to develop groundbreaking solutions that tackle real-life business challenges. Daita was launched in October 2024 with multi-asset investment firm Granite Asia as a supporting partner. MetaOptics swept the judges with its advanced colour metalens imaging system that features a single-glass layer alternative to traditional multi-layer curved plastic lenses. Its deputy chief executive officer Aloysius Chua said in his presentation: 'The challenge today with traditional three-dimensional optics is the bulkiness, complexity and high costs.' He explained that metalenses, also known as flat optics or 2D lenses, are single layers of glass made up of millions of circular pillars of varying diameters – each as thin as one-thousandth of a human hair – at the same height.
Business Times
16-05-2025
- Business
- Business Times
A new era for warehouse logistics with PSA Singapore's AI-powered iWX platform
[SINGAPORE] As one of the world's busiest and most advanced maritime hubs, Singapore is constantly seeking innovative solutions to maintain its competitive edge in global trade. At the heart of this drive for excellence is PSA Singapore, whose Intelligent Warehouse Exchange (iWX) platform is redefining warehouse logistics for the digital age. By harnessing the power of artificial intelligence (AI), real-time data and predictive analytics, iWX is setting new standards for efficiency, sustainability and collaboration – solidifying Singapore's reputation as a leading global port city. Traditionally, warehouse logistics suffer from poor equipment visibility, space congestion, unpredictable trip schedules and inefficient communication. Bottlenecks uncovered iWX was developed using a design-thinking approach mapping user pain points, analysing six months of operational data from PSA terminals, Keppel Distripark, and digital systems such as Portnet and SmartBooking, and iteratively prototyping solutions. The process uncovered bottlenecks such as inconsistent dwell times, irregular traffic patterns and inefficient container reuse coordination. A key differentiator of iWX is its use of machine-learning models that analyse historical gate-in/gate-out data, container attributes and transporter details to predict when containers will be ready for reuse after unstuffing. These AI-powered insights enable the system to recommend suitable containers for reuse among stakeholders, maximising asset utilisation and reducing the need for new container procurement. When reuse is not feasible, iWX's optimisation engine recommends returning containers to the nearest On-Dock Depot (ODD), minimising unnecessary transport, trucking distances and carbon emissions. SEE ALSO AI boosts efficiency of LionsBot robot cleaners GET BT IN YOUR INBOX DAILY Start and end each day with the latest news stories and analyses delivered straight to your inbox. Sign Up VIEW ALL iWX's marketplace model ensures transparency in container availability while safeguarding sensitive trade data. It respects stakeholder autonomy by allowing shipping lines, as container owners, to approve or reject reuse requests, and hauliers (the reuse requestors) to withdraw their requests if necessary. This balanced approach ensures fair and efficient decision-making for all parties involved.
