The information age is built on mathematics. From finding the best route between two points, over predicting the future load ...

Designing a new car is a much simpler task for AI than writing the next great American novel or painting a modern masterpiece ...

The success of AI depends more on the reliability of the underlying data than on the intricacy of the algorithms. Without a strong foundation of trusted, governed and accessible data, AI initiatives ...

Google DeepMind has introduced AlphaEvolve, a generative AI agent designed to advance algorithms used in mathematics and ...

Google DeepMind's AlphaEvolve AI system breaks a 56-year-old mathematical record by discovering a more efficient matrix ...

When I first started working with integral field spectroscopic (IFU) data, I was struck by how much complexity was being ...

People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the ...

New DOJ exhibits reveal insights into how Google Search ranks content, Navboost, RankEmbed, and LLMs reshaping the future of ...

Abstract: FPGA implementation of a multi-channel pipelined large FFT architecture is challenging due to its complex inter-channel data scheduling ... a self-attention multipath delay feedback (SA-MDF) ...

But because these numerical values are assigned by a machine learning algorithm, they are rarely interpretable by humans. Generalization / The ability of an AI system to respond well to new inputs ...

A curated collection of classic algorithm implementations with clear structure, covering dynamic programming, greedy, graph, and divide & conquer techniques.