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  1. Hace 21 horas · 2024年5月31日. On November 15, 2023, the 25th China International High-Tech Fair (CHTF) opened in Shenzhen. Energy Singularity presented the HH70 high-temperature superconducting tokamak at the CHTF Shanghai Pavilion. The Energy Singularity team introduced the HH70 tokamak to Huang Kunming, Secretary of the Guangdong Provincial Committee ...

  2. Hace 1 día · About SingularityNET. SingularityNET is the decentralized protocol for accessing a network of AI algorithms, services, and agents. Through the combination of open source principles, blockchain integration, and leveraging the leading minds in machine learning, we will make AI accessible as a global commons for all.

  3. Hace 4 días · About SingularityNET. SingularityNET is the decentralized protocol for accessing a network of AI algorithms, services, and agents. Through the combination of open source principles, blockchain integration, and leveraging the leading minds in machine learning, we will make AI accessible as a global commons for all.

  4. Hace 1 día · Earlier this year researchers from Caltech reported they had made an array of 6,100 “neutral-atom” qubits. Nonetheless, this highly scalable modular architecture holds considerable promise for getting us closer to the millions of qubits needed to achieve the technology’s true promise. Image Credit: Sampson Wilcox and Linsen Li, RLE.

  5. Hace 4 días · The famous singularity theorems, proved using the methods of global geometry, say otherwise: singularities are a generic feature of general relativity, and unavoidable once the collapse of an object with realistic matter properties has proceeded beyond a certain stage and also at the beginning of a wide class of expanding universes.

  6. Hace 2 días · Breaking Into AI’s Black Box: Anthropic Maps the Mind of Its Claude Large Language Model. The opaque inner workings of AI systems are a barrier to their broader deployment. Now, startup Anthropic has made a major breakthrough in our ability to peer inside artificial minds. One of the great strengths of deep learning neural networks is they ...

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