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

Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial ...

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

As we enter 2026, the convergence of data privacy, artificial intelligence (AI), and personalisation marks a defining moment ...

An American high school student has stunned the scientific world by developing an algorithm to map 1.5 million previously ...

Social data refers to publicly shared information on social media platforms. Discover how it's used for marketing, its advantages, and the risks associated with data breaches.

Algorithmic trading is also referred as black-box trading, automated trading, or algo-trading. It is a method that uses a computer program that follows a defined set of instructions or an algorithm to ...

Key market opportunities in the Canada AI in oil and gas exploration sector include expanding into emerging markets like Southeast Asia and Africa and developing custom AI solutions tailored to ...

Simulation results show enhanced logical error suppression and real-time decoding potential ...

Saudi Arabia’s data centers market thrives on cloud demand, Vision 2030 initiatives, and rising AI adoption. Key opportunities include growth in AI/machine learning, edge computing expansion, and ...

Overview: AI is reshaping healthcare delivery by improving diagnosis accuracy, streamlining workflows, and enabling ...

A new peer-reviewed study published in the journal Algorithms signals a major shift in how humanitarian logistics can be ...