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

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

In a move that could reshape how enterprises deploy AI, Japanese research lab Sakana AI has introduced TreeQuest, an ...

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

“This new model follows Phi-4-mini but is built on a new hybrid architecture that achieves up to 10 times higher throughput ...

A research team led by Prof. Hai Li from the Hefei Institutes of Physical Science, Chinese Academy of Sciences, has become the first to systematically explore how large language models (LLMs) can ...

Sophisticated capital doesn’t misfire for lack of data, it misfires on frameworks. In an increasingly multipolar market, ...

LLMs are taking the spotlight as they weave into everyday products. Security testing is key—focus on prompt injection, data ...

Identifying false positives is almost as important as detecting genuine concerns during quality control (QC) processes.

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations.D ...

In which language do you think chatgpt? When we communicate with artificial intelligence such as chatgpt, Gemini or Claude, ...

The Chan Zuckerberg Initiative (CZI) reports its latest AI model aimed at helping researchers better understand how cells ...