Are we shaping our feeds or are they shaping us — and is this healthy? Faculty weigh in recommendation algorithms.

Artificial intelligence programs used to classify images could be trained much more cheaply using a surprisingly simple ...

Prompt sampling reinforcement learning with LEEPS improves large language model training efficiency and reasoning across ...

Neutral-atom arrays are a rapidly emerging platform to create quantum computers. In a foundational study led by graduate students Aaron Holman and Yuan Xu from the Will and Yu labs, respectively, the ...

RANSAC（随机采样一致性算法），一种在含有大量异常值（outliers）的数据中鲁棒估计模型参数的方法。 在图像处理、计算机视觉和地图制图（cartography）等领域中，常常需要根据噪声数据点估计 ...

A single decision tree is fast to train, easy to explain, and dangerously brittle. Change a handful of training rows and the entire tree structure reshapes itself, producing wildly different ...

SAN FRANCISCO, Oct 24 (Reuters) - IBM (IBM.N), opens new tab said on Friday it can run a key quantum computing error correction algorithm on commonly available chips ...

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Quantum computers will need large numbers of qubits to tackle challenging problems in physics, chemistry, and beyond. Unlike classical bits, qubits can exist in two states at once—a phenomenon called ...

If you’ve ever shuffled a deck of playing cards, you’ve most likely created a unique deck. That is, you’re probably the only person who has ever arranged the cards in precisely that order. Although ...