Oracle’s Java team sat down with me last week for a fast-moving briefing on Java 25 and the broader direction of the platform. The headline: JDK 25 is an LTS release, the second on Oracle’s new ...
Abstract: Graph convolutional networks (GCNs) are emerging neural network models designed to process graph-structured data. Due to massively parallel computations using irregular data structures by ...
Matrix multiplication is a key operation in scientific computing and machine learning, with GPU libraries like NVIDIA Cutlass and cuBLAS providing optimized implementations of the three nested loop ...
Abstract: Efficient matrix multiplication is a crucial issue of AI, signal processing, and computing systems. This paper proposes an optimized matrix multiplication architecture, which incorporates ...
Sam Altman just said the quiet part out loud. The OpenAI CEO suggested the company could be less than six months away from achieving recursive self-improvement, a capability where AI systems can ...
D-Matrix says its chips can run inference workloads 10 times faster and using five times less energy than a standalone graphics processing unit from Nvidia. Like Cerebras, D-Matrix is trying to prove ...
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