Measuring AI progress has usually meant testing scientific knowledge or logical reasoning – but while the major benchmarks still focus on left-brain logic skills, there’s been a quiet push within AI ...

From government services and enterprise productivity to healthcare, media, and education, the real value will come from AI ...

Given structured inputs, LLMs can reproduce the logical framework for DCF valuation and generate multiple scenarios.

Asking AI reasoning models questions in areas such as algebra or philosophy caused carbon dioxide emissions to spike ...

EcoYield and other intuitive Web3 models simplify crypto investing through staking, tokenized assets, and clean energy—driving mass adoption.

Microsoft has released Phi-4-mini-flash-reasoning, a compact AI model engineered for fast, on-device logical reasoning. This ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

Professor Lei Ren’s team has proposed ProcessFM, the first foundational model framework tailored for the process industry.

To accomplish this, the system uses Monte Carlo Tree Search (MCTS), a decision-making algorithm famously used by DeepMind’s AlphaGo. At each step, AB-MCTS uses probability models to decide whether ...

Learn what Large Language Models (LLMs) are and why they’re revolutionizing AI. This beginner-friendly guide breaks down key concepts and real-world uses.

Intelligence at scale requires more than data scientists; it demands operational maturity to manage the complete lifecycle of your AI systems.

AI reasoning models were supposed to be the industry’s next leap, but now a string of research is calling that into question.