I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...

The math of data structures helps us understand how different storage systems come with different trade-offs between resources such as time and memory.

Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Software architecture has long faced the problem of operating within system boundaries where specific requirements dominate: ...

What’s launching today is Pecan’s “predictive agent,” an autonomous system that can interpret a company’s unique data structure, or “fingerprint,” by breaking down the predictive workflow into ...

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...

Federal models keep missing homes that burn. A new AI tool zooms in.

Gilbert Gee and Annie Ro depict systemic racism as the hidden base of an iceberg 10 (see illustration in online appendix exhibit 1). 11 The iceberg’s visible part represents the overt racism that ...

Blaine Halverson joked that his only exposure to data centers was from the Mission Impossible movies in the 1990s. That was, ...

Getting to know the customers visiting franchise restaurants doesn’t just come down to the in-person conversations at the ...