Modern exchanges include 2-and 3-way swaps, making the kidney exchange clearing problem NPhard.

Normalizing flows have shown great promise for modelling flexible probability distributions in a computationally tractable way.

'I think this image should be just as important as the image of the gate in Auschwitz,' says the US-based German historian Jürgen Matthäus. 'I think this image should be just as important as the image of the gate in Auschwitz,' says the US-based German historian Jürgen Matthäus. Thu 2 Oct 2025 03.23 EDTLast modified on Thu 2 Oct 2025 08.22 EDT It is one of the most chilling images of the Holocaust: a bespectacled Nazi soldier trains a pistol at the head of a resigned man kneeling in a suit before a pit full of corpses. The picture taken in today's Ukraine was long known, mistakenly, as The Last Jew in Vinnitsa, and was for decades shrouded in mystery. The US-based German historian Jürgen Matthäus has for years painstakingly assembled the puzzle pieces and, with the help of artificial intelligence, is confident he has identified the killer.

Neural Information Processing Systems http://nips.cc/

Japan's Digital Agency to cooperate with OpenAI on administrative tools The Digital Agency will enable its employees to use OpenAI's cutting-edge large language model-based AI tools for their work. The Digital Agency said Thursday that it will cooperate with OpenAI to fully use artificial intelligence technology in administrative work and service. As part of the initiative, the agency will enable its employees to use OpenAI's cutting-edge large language model-based AI tools for their work. It is also considering joint development with the U.S. company of a generative AI app for administrative use. The agency plans to provide its employees with access to generative AI tools and encourage other government agencies to adopt these services starting as early as fiscal year 2026.

We also make two theoretical contributions. First, we simultaneously establish the statistical and computational rates of convergence of the proposed spectral algorithm.

This approach motivates interpretable yet expressive models that are capable of capturing a variety of complex dependence structures.