(3) Structural damage: The presence of potholes, cracks, or joint failures ... making it challenging for machine learning algorithms to accurately process and analyze the road surfaces. To address ...

The finance industry has always valued speed and precision. Historically, these characteristics depended wholly on human ...

Abstract: Maintaining reliable and long-lasting road infrastructure ... of pavement cracks, as these cracks can significantly weaken asphalt and concrete surfaces over time. Although Convolutional ...

NASA’s quantum computer research helps us learn more about space. Quantum algorithms can solve hard problems and help with ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions ...

20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated with machine learning to explore practical application ...

KOZHIKODE: Raising concerns about the safety of motorists, cracks have appeared on two sections of the under-construction NH 66 in Malappuram and Kozhikode districts while a service road caved in ...

AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center ...

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference ...

AlphaTensor, from 2022, used the reinforcement learning method to produce novel algorithms. Fun Search, from 2024, used an evolutionary method to generate more efficient code for a given problem.

As cities, traffic planners and state departments of transportation aim to ensure safety on our shared streets and roads, AI ...