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Pulse · finextra.com

finextra.com · Oct 21

BBVA works with Nvidia to boost AI agent security

Pulse · globaltimes.cn

globaltimes.cn · Oct 21

OpenAI’s models are finally fully supported on Google Cloud

Chinese AI start-up DeepSeek has announced the open-sourcing of its internal inference framework, DeepInfer, to help software developers and enterprises optimize throughput and latency for large-scale inference, lowering compute costs and energy consumption, the company said in an article released via its WeChat account on Tuesday.

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arXiv

Oct 15

MLExpert: Towards a Generalist Agentic Model for Autonomous Machine Learning Engineering

AI Agentic model for autonomous machine learning engineering with long-horizon optimization.

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arXiv

Sep 19

Measured Joules, Learned Routes: Learning to Route for Energy-Efficient LLM Serving

Large language models (LLMs) and agentic AI systems are creating rapidly growing inference energy demands as model sizes grow and reasoning trajectories extend. While in practice, many queries do not require the capabilities of the largest available model, and routinely…

arXiv

Sep 19

AirGC-CD: Gaussian-Circulant Precoding for Exactly Debiasable PAPR Reduction in Over-the-Air Federated Learning

Over-the-air federated learning lets edge devices transmit their local updates simultaneously, reducing the communication overhead. The resulting waveform, however, has a peak-to-average power ratio (PAPR) that grows with the model dimension, and keeping the amplifier in its…

arXiv

Sep 19

Directing large language models to follow the letter or spirit of the law

The distinction between the spirit and letter of the law is a central issue across research and everyday life, and a growing concern for building safe, intelligent machines. What is this distinction based on, and how can we develop machines that follow the intention behind a…

arXiv

Sep 19

Event Signature Transfer: Model-Agnostic Forecast Scenario Construction from Historical Events

Forecasters often know an event is imminent but not the shape, size, or timing of its effect. We introduce Event Signature Transfer (EST), a training-free, model-agnostic operator that turns a completed past event into an explicit forecast scenario. EST removes a source event's…

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