Archaeology offers an unparalleled material record of urban dynamics, spanning thousands of years and operating in varied ...
Valentin, V. , Mahamat, M. , Barthelemy, V. , Michael, T. , Ouangkake, N. , Siyangar, M. and Kimassoum, R. (2026) Emergencies ...
Use the Gemini API to parse PDFs into structured Markdown tables and figures, giving you cleaner outputs and less ...
A comprehensive SAML development guide for engineering leaders. Learn about assertions, metadata, and securing single sign-on for enterprise CIAM.
The 2026 Statistics Update uses language that conveys respect and specificity when referencing race and ethnicity. Instead of referring to groups very broadly with collective nouns (eg, Blacks, Whites ...
MAESTRO: Masked Autoencoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data
MAESTRO_FLAIR-HUB_base — pre-trained on FLAIR-HUB MAESTRO_S2-NAIP-urban_base — pre-trained on S2-NAIP-urban Land cover segmentation in France, with 12 semantic classes. Note that the FLAIR#2 version ...
Understand the difference between Data Types and Abstract Data Types (ADT) in this clear breakdown of data structure fundamentals. Learn how they are defined, how they work, and why ADTs are essential ...
ULANQAB, China—The U.S. invented the most powerful artificial-intelligence models and controls access to the most advanced computer chips, but China has an ace to play in the global AI contest. China ...
There is no shortage of AI benchmarks in the market today, with popular options like Humanity's Last Exam (HLE), ARC-AGI-2 and GDPval, among numerous others. AI agents excel at solving abstract math ...
NeuroSynth: a new platform for large-scale automated synthesis of human functional neuroimaging data
A central goal of human neuroimaging research is to map relationships between mind and brain, enabling decoding of cognitive states from brain activity (Norman, Polyn, Detre, & Haxby, 2006; Poldrack, ...
How is AI and data leadership at large organizations being transformed by the accelerating pace of AI adoption? Do these leaders’ mandates need to change? And should overseeing AI and data be viewed ...
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