ERNIE 5.1 hits the top of Chinese AI leaderboards while spending a fraction of what rivals do. Baidu calls it a "parameter ...

Large Language Models (LLMs) such as GPT-4, Gemini-Pro, Llama 2, and medical-domain-tuned variants like Med-PaLM 2 have ...

Abstract: Federated learning is an emerging machine learning paradigm that effectively alleviates the data silo problem by distributing the model training process to multiple data holders. However, ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

With the rapid expansion of the new energy vehicle (NEV) market, charging and battery swapping have emerged as the two ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

We present MultiWorld, a unified framework for multi-agent multi-view world modeling that enables accurate control of multiple agents while maintaining multi-view consistency. In the Multi-Agent ...

Abstract: Single positive multi-label learning (SPML) aims to recognize multiple categories with limited supervision from one positive label in an image. With the emergence of pre-trained ...

As AI becomes a daily work tool, the real risk may not be losing our intelligence—but losing confidence in our own thinking. New research suggests the difference comes down to how actively we engage ...