Nanyang Technological University

Headlines · 5

1. 2d
   Singapore Q3 GDP grows 5.4% on AI boom, second only to Taiwan

   Singapore's advance estimates show third-quarter GDP rose 5.4% year on year, slower than the second quarter's 6.2% but still strong, with manufacturing up 7.5% and construction up 8.8% as data-centre building provided a key lift. The Economic Development Board says about 10% of the world's chips and roughly 20% of semiconductor equipment are made in Singapore, where semiconductors account for about 6% of GDP, with Micron, GlobalFoundries and UMC among the manufacturers based there. The Monetary Authority of Singapore said tech-related industries contributed about 75% of the quarter's year-on-year growth, and forecast that AI-related orders and capacity expansion will keep supporting growth for now while global AI-driven activity may cool towards the second half of 2027; it also warned that persistent inflation and high interest rates could weigh on consumption and investment. The IMF expects Singapore's full-year growth to reach 5%, behind only Taiwan among advanced economies.

   科技新报 · 🔥 0
2. 2d
   EVEWorld cuts world-model 'laziness' rate 85.7% in robot videos

   Researchers at China Merchants Group's Advanced Technology Research Institute and Nanyang Technological University (NTU) propose EVEWorld, a post-training supervision framework that enforces physical consistency of manipulated objects in world models: Instance-Guided Recovery (IGR) builds object-duplication perturbations and trains the model to restore the correct count, while Temporal Instance Alignment (TIA) matches and transfers features across adjacent frames in selected layers of a video diffusion Transformer. The authors define unjustified object duplication or disappearance as "Model Laziness" and measure it with a Model Laziness Rate (MLR). According to the paper, EVEWorld lowers MLR on DreamGenBench from 11.11% to 1.59%, an 85.7% relative drop, while Qwen-IF and Gemini-IF scores rise 6.35 and 7.28 points; on WorldArena 1.0, persistently anomalous videos fall from 43 to 21 of 157 shared evaluable samples (about 51.1% relative), and transferred to FlowWAM it cuts RoboTwin MLR from 47.89% to 35.21%. The authors note the method's limitation: its local pairwise supervision does not explicitly model long-horizon state dependencies or complex multi-object interactions.

   36氪 人工智能 · 🔥 0
3. 4d
   Carnegie report: China tops US as the No. 1 workplace for elite AI researchers

   A Carnegie China report released on 23 September, "Who's Ahead in the Global AI Talent Race?", tracked the CVs of 10,280 authors of NeurIPS 2025 papers and found that about 41% of top AI researchers worked in China in 2025 (the report's figure is 40.6%) versus 34% in the US (34.2%), compared with 27% against 46% three years earlier. The same report says the US still had a net inflow of 2,145 researchers while China had a net outflow of 1,729, that China's retention of its own top researchers rose from 57% to 69%, and that roughly 98% of China-based top researchers did their undergraduate studies in China versus only about a third of US-based ones in the US. Peking University topped the institutional ranking for the first time, followed by Tsinghua University, KAIST and Shanghai Jiao Tong University, while 2022 leader Google slipped amid a reported six-month publication ban on strategic generative AI papers; the report acknowledges its sample skews academic and may undercount industry.

   虎嗅 AI · 🔥 0
4. 5d
   RoboFoundry freezes base models and evolves the embodied agent system around them

   A team from Nanyang Technological University, Beihang University, National University of Singapore, Shanghai Jiao Tong University and Yundie Technology proposes RoboFoundry, an embodied agent framework that formalizes the agent system itself as a "Self-Evolving System-as-Policy": base model parameters stay frozen while evolution happens in the context system, skill system and execution interface around the model, driven by an execute-reflect-repair-promote loop and a shared semantic interface for reuse across robots. On EmbodiedBench all five base models improved, with GPT-5.5's average success rate rising from 56.9% to 72.7%, above unevolved GPT-6 Astra at 71.9%; on the long-horizon memory benchmark RoboMemArena it reports task success at least 39.0% above all baselines, and it tops LIBERO-PRO perturbation tests at 91.9% average success. Real-robot experiments on an AgileX platform reached 70% success on a nesting-cups task versus 30% for π0.5 alone, alongside zero-shot skill transfer to unseen towels, semantic navigation on a Unitree G1, and online evolution after deployment.

   机器之心 · 🔥 0
5. 7d
   Virtual quantum lab stress test: 17 AI agents, pass rates from 78% to 3%

   A joint team from the National University of Singapore, Nanyang Technological University and GaugeForge released Quantum-Harbor, a simulated quantum engineering lab, plus QIQCBench, a set of 49 real-world tasks spanning measurement and characterization, control, error correction, compilation, simulation and sensing. Seventeen frontier AI agents were dropped into the physics-driven environment with instrument APIs and hidden hardware parameters, then graded under an "evidence-bound" verified-autonomy standard that checks whether conclusions are supported by data the agent actually collected. Pass rates ranged from 78% at the top down to 3%, 937 of 1,510 failures came from exhausting budget or looping, and the many-body physics category averaged only 15%.

   36氪 人工智能 · 🔥 0

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