Why can two fields managed in exactly the same way differ so dramatically in nutrient efficiency, crop resilience or fertiliser response?  That’s what ...

In a 2023 TED Talk watched by millions of people, the American educator and entrepreneur Sal Khan declared that AI was about ...

Last month, OpenAI announced that its latest version of ChatGPT had solved a major math problem, one that had stumped experts ...

Glasses are non-crystalline but solid states of matter in which molecules and atoms are not arranged into a regular crystal lattice, but rather in a disordered pattern. Glassy materials are widely ...

Abstract: This paper proposes a domain constraint strategy based on the $\mathbf{k}$-means algorithm and combines it with the currentbased learning method for the inversion of highly nonlinear targets ...

The area of approximation algorithms is aimed at giving provable guarantees on the performance of heuristics for hard problems. The course will present general techniques (such as convex ...

CAMBRIDGE, U.K. – A small Microsoft Research team had lofty goals when it set out four years ago to create an analog optical computer that would use light as a medium for solving complex problems.

Artificial intelligence programs that analyze and produce text are transforming how we read and learn. To parse writing, AI models sleuth through textual clues, such as word choices, to see their ...

Abstract: Hyperspectral images possess the characteristics of high dimensionality, which causes “dimensional disaster” and low classification accuracy. In order to solve the problems, based on ...

k-means clustering partitions a multi-dimensional data set into k clusters, where each data point belongs to the cluster with the nearest mean, serving as a prototype of the cluster.