According to DeepSeek (@deepseek_ai), the company has launched DeepSeek-V3.2-Exp, an experimental AI model built on the V3.1-Terminus architecture. This release introduces DeepSeek Sparse Attention ...

Implement efficient Hamiltonian matrix construction leveraging momentum conservation to create block-diagonal sparse matrices, enabling larger system sizes through reduced memory footprint and ...

According to Chris Olah (@ch402) on Twitter, there is continued strong interest in Sparse Autoencoders (SAEs) and transcoders within the AI research community (source ...

A major challenge for medical X-ray CT imaging is reducing the number of X-ray projections to lower radiation dosage and reduce scan times without compromising image quality. However these ...

Hand-tuned WebAssembly implementations for efficient execution of web-based sparse computations including Sparse Matrix-Vector Multiplication (SpMV), sparse triangular solve (SpTS) and other useful ...

Samsung has integrated blockchain technology into its Knox Matrix system to enhance the security of its AI home appliances and connected devices, building on the company’s long-standing commitment to ...

Abstract: The emergence of accelerator-based computer architectures and programming models makes it challenging to achieve performance portability for large-scale scientific simulation software. In ...

Abstract: Due to high network measurement cost, network-wide monitoring faces many challenges. For a network consisting of n nodes, the cost of one time network-wide monitoring will be O(n 2). To ...