Cecile G. Tamura

John von Neumann, John Wheeler, Hans Bethe, Robert Serber, Robert Marshak, Abraham Pais, J. Robert Oppenheimer, David Bohm, and Richard Feynman at the Shelter Island Conference of 1947:

Remote entanglement is crucial for quantum computing, sensing, and communication. Traditional methods for entanglement generation often depend on direct interactions between quantum bits (qubits) or the exchange of entangled photons. In this study, we demonstrate an alternative approach, where we create and preserve entanglement between two noninteracting qubits through dissipation into a shared waveguide.

Researchers at SWC have mapped how the brain transforms sensations into action.

Gsplat is an open-source library designed for training and developing Gaussian Splatting methods.

The first language model was invented over 110+ years ago by Andrey Markov of the Markov fame.

Bernhard Riemann was another mathematical giant hailing from northern Germany. Poor, shy, sickly and devoutly religious, the young Riemann constantly amazed his teachers and exhibited exceptional mathematical skills (such as fantastic mental calculation abilities) from an early age, but suffered from timidity and a fear of speaking in public. He was, however, given free rein of the school library by an astute teacher, where he devoured mathematical texts by Legendre and others, and gradually groomed himself into an excellent mathematician. He also continued to study the Bible intensively, and at one point even tried to prove mathematically the correctness of the Book of Genesis.

SambaNova Systems has just unveiled a new demo on Hugging Face, offering a high-speed, open-source alternative to OpenAI’s o1 model.

Tutorial: A thorough presentation of quasiprobabilities elucidates their potentially pivotal use in many important areas of quantum research.

Fine-tuning large language models (LLMs) to follow instructions effectively requires selecting the right data for training.

With only 6.6B activate parameters, GRIN MoE achieves exceptionally good performance across a diverse set of tasks, particularly in coding and mathematics tasks.