Solving complex optimisation problems is central to many modern technologies, from logistics and financial modelling to chip design, communications and artificial intelligence (AI). However, as these problems grow in size, conventional computers often require substantial time and energy to search for good solutions.

A research team led by Professor Yang Hyunsoo from the Department of Electrical and Computer Engineering in the College of Design and Engineering at the National University of Singapore (NUS) has developed new spintronic computing hardware that offers a promising route towards faster and more energy-efficient optimisation. The team reported two recent advances in Nature Communications, demonstrating probabilistic computing systems based on magnetic tunnel junctions, nanoscale devices that can naturally generate tuneable randomness.

UOB today announced a collaboration with Singapore’s Centre for Quantum Technologies (CQT) to pioneer the application of quantum computing techniques to the valuation of complex financial derivatives.

A mathematical problem that had remained unsolved for more than ten years in the physics of complex systems has finally been resolved through an unusual collaboration: one involving two theoretical physicists and an artificial intelligence system. In a study published in the Journal of Statistical Mechanics: Theory and Experiment (JSTAT), Giorgio Parisi, Nobel Prize winner in Physics, and Francesco Zamponi, physicist at LaSapienza University of Rome, show how the AI model Claude contributed to finding the proof of a mathematical relation that had resisted researchers’ efforts for years. Beyond its scientific significance, the result offers a concrete glimpse into how artificial intelligence is transforming the work of researchers.

Scientists from the Faculty of Physics at the University of Warsaw, in collaboration with teams from the National University of Singapore and Radboud University in Netherlands, have observed single photon emission from layered two-dimensional material ZnPS3. This discovery represents a crucial step toward establishing low dimensional materials as a versatile platform for quantum information science. The research findings were published in the prestigious journal “ACS Nano”.