The use of stochastic differential equations in multi-objective optimization has been limited, in practice, by two persistent gaps: incomplete stability analyse...
The Federal Directive & Enterprise Reality The federal directive ordering all U.S. government agencies to cease using Anthropic technology comes with a six‑mon...
Qualcomm's Vision for 6G at Mobile World Congress At Mobile World Congress, Qualcomm CEO Cristiano Amon argued that the coming 6 G networks will power an AI‑dr...
Performance indicators are essential tools for assessing the convergence behavior of multi-objective optimization algorithms, particularly when the true Pareto ...
Code comment classification is a critical task for automated software documentation and analysis. In the context of the NLBSE'26 Tool Competition, we present Lo...
Overview We have released a new preprint that extends recent results obtained for gluons to the gravitational setting. The work demonstrates that a class of gr...
Software-hardware co-design is essential for optimizing in-memory computing (IMC) hardware accelerators for neural networks. However, most existing optimization...
Large language model (LLM)-powered agents have demonstrated strong capabilities in automating software engineering tasks such as static bug fixing, as evidenced...
Leveraging Large Language Models (LLMs) for code generation has increasingly emerged as a common practice in the domain of software engineering. Relevant benchm...
The No Free Lunch (NFL) theorem guarantees equal average performance only under uniform sampling of a function space closed under permutation (c.u.p.). We ask w...
Alibaba’s Qwen Team Faces a Leadership Exodus Alibaba's Qwen team of AI researchers has long been among the most prolific and well‑regarded in the internationa...
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