Quantum plasmonic biosensors enable self-illumination for real-time, label-free diagnostics with scalable point-of-care applications.

Optimization also involves comparing and narrowing down potential options. Simulation- This involves building models or replications in order to try out and test solutions before applying them.

Start with the basics: get a handle on what AI is, why it matters, and how it’s used in the real world. Make a plan: figure ...

Imagine detecting a single trillionth of a gram of a molecule—like an amino acid—using just electricity and a chip smaller ...

How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that ...

Explore multi-sensor calibration techniques for advanced driver assistance systems in autonomous vehicles to ensure accurate ...

PDF for mathematics from the official Punjab Board website. Access chapter-wise details for mathematics with the link to ...

New statistical physics analysis of the French labour market could improve the efficiency of employment markets and help workers adapt to shocks like technological change or economic crises ...

Since the pandemic it has become readily apparent that our global supply chains are very complex, and in some cases, very ...

Particle Swarm Optimization (PSO) has been frequently employed to solve diversified optimization problems. Choosing initial placement for population plays an important role in meta-heuristic methods ...

OTI Lumionics' paper reveals a method for optimizing qubit coupled cluster ansatz on classical computers, advancing quantum simulations for materials discovery.