While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...

Explore the challenges and opportunities of quantum cryptography in this SC Media perspective. Learn why transitioning from ...

Testing random outcomes teaches principles that apply wherever fairness matters. Random outcomes shape more of our world than ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

在复杂网络分析中，我们通常只能获取网络的部分信息。因此，将观察到的复杂网络描述为一组可能的网络，每个网络具有一定概率，是合理的。为了在最小偏差的前提下确定这些概率分布，可以依赖香农熵的最大化原理 ...

There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it ...

Great customer experience (CX) feels like one continuous conversation. This is the shift defining 2026 — real-time, ...

Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...

Smart players pay attention to the stats. The Return to Player (RTP) is essentially the game’s “stat sheet,” indicating the ...