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

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

In the evolving world of data architecture and analytics, Gopala Krishna Subraya Pai stands out as a thought leader whose ...

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

Researchers at the California NanoSystems Institute at UCLA published a step-by-step framework for determining the ...

TikTok’s U.S. operations move to new American majority ownership, but users report reliability issues and concerns over feed ...

Researchers develop a lightweight algorithm designed to reorganise network connections to enable secure, low-latency data ...

What users are exposed to is rivalry around pricing and marketing, but some of the most intense competition is over data and ...