What makes Vivek Shah's story resonate so deeply is that his commitment to quality and alignment extends far beyond the realm ...

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 ...

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

The deal’s purpose is primarily to acquire talent, aka an acqui-hire, adding nine key Cleanlab employees to Handshake’s ...

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 ...

Elon Musk isn't a fan of X's algorithm, so he's documenting the company's efforts to improve the tech that decides what you ...

In a critical advance for climate resilience, researchers from The Hong Kong University of Science and Technology (HKUST) have developed an AI model that can predict dangerous convective ...

A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly ...

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

Social media algorithms may decide what life stage you slot into, and it's difficult to break out of it.

From 2023 to 2025, the proportion of synthetic data increased from 20%-30% to 50%-60%, becoming a core resource to fill long-tail scenarios. -- Full-process automated toolchain from collection to ...