LinkedIn extended its generative AI application platform to support multi-agent systems by repurposing its existing messaging ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Your AI might look smart on benchmarks but could be brittle in the real world, leading to unexpected failures and eroding ...

AI cheats not because it’s broken, but because it has learned our own bad habit: rewarding what feels good over what is true.

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...

Abstract: Deep reinforcement learning (DRL) has emerged as a promising solution for autonomous operations of autonomous aerial vehicles (AAVs) in unknown environments. However, learning to navigate ...

Raekwon and Mobb Deep announced a 19-city tour blending “Only Built 4 Cuban Linx” and “The Infamous” in a nonstop 90s Hip-Hop celebration. The tour, put together by Live Nation and LOUD Live, kicks ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Introduction: Predicting the relationship between diseases and microbes can significantly enhance disease diagnosis and treatment, while providing crucial scientific support for public health, ...

College of Mathematics and Statistics, Northwest Normal University, Lanzhou, China. Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the ...