Computer scientists at UC Berkeley say that AI models show promise as a way to discover and optimize algorithms.… In a preprint paper titled "Barbarians at the Gate: How AI is Upending Systems ...
Abstract: Because of the multiplication of antennas, harmonic beamforming based on the time-modulated planar array (TMPA) requires a much longer modulation period than the time-modulated linear array ...
Abstract: Large language models (LLMs) have been showing surprising performance in processing language tasks, bringing a new prevalence to deploy LLM from cloud to edge. However, being a scaling ...
ONNXim is a fast cycle-level simulator that can model multi-core NPUs for DNN inference. Its features include the following: ONNXim requires ONNX graph files (.onnx) to simulate DNN models. We provide ...
Finite mixture models are helpful for uncovering heterogeneity due to hidden structure; for example, unknown major genes. The first part of this article gives examples and reviews quantitative ...
Moonshot AI's Kimi team and kvcache-ai open-sourced AgentENV (AENV) under MIT, as part of Kimi K3 Open Day. It runs agent sandboxes as Firecracker microVMs with millisecond snapshot, resume, and ...
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