GPhase, a new haplotype-resolved scaffolding algorithm, jointly leverages assembly graphs and 3C signals to construct accurate chromosome-level assemblies for polyploid genomes, reducing missing ...

Researchers report distributed-memory implementations of the WCC and CM algorithms that post-process network clusterings for ...

A computer scientist has achieved a breakthrough in a nearly 25-year-old problem involving how computers calculate distances across enormous networks. The new algorithm delivers more reliable ...

The data scientist Lauren Leek says predictive algorithms are flattening the everyday world, from pub menus to pop lyrics.

Stop chasing mythical scores and tweaking author bios. Learn how PageRank, information gain, and user behavior affect Google ...

This research introduces quantum graph networks for max-clique detection, overcoming trainability issues with compositional ...

OpenAI claims its AI disproved the Exponential Time Hypothesis, a foundational computer science assumption dating to 1999.

OpenAI says its AI found a refutation of a 27-year-old computing hypothesis, challenging an assumption researchers use to ...

OpenAI says its AI disproved a major computing hypothesis. Here's what the proof could mean for algorithms, scientific research, and computing.

GTFormer proposes replacing Transformer self-attention with a hierarchical graph neural network, achieving zero-shot length extrapolation from 512 training tokens to 4 million tokens in linear O(N) ...

With annual revenue passing $18.8 billion, LinkedIn is much more than a social app. Here is what its massive business model means for your content strategy.

Response time stays predictable. In a relational database, the same check means self-joining an identifier table for each ...