Planning and decision-making in complex, partially observed environments is a significant challenge in embodied AI. Traditionally, embodied agents rely on physical exploration to gather more ...

Red teaming plays a pivotal role in evaluating the risks associated with AI models and systems. It uncovers novel threats, identifies gaps in current safety measures, and strengthens quantitative ...

Google Gemini is a generative AI-powered collaborator from Google Cloud designed to enhance various tasks such as code explanation, infrastructure management, data ...

Intrusion detection systems (IDS) encounter significant challenges in detecting zero-day or unknown cyberattacks, which are not included in the training data. These attacks do not have any ...

In recent years, there has been a growing demand for machine learning models capable of handling visual and language tasks effectively, without relying on large, cumbersome infrastructure. The ...

Real-world networks, such as those in biomedical and multi-omics datasets, often present complex structures characterized by multiple types of nodes and edges, making them heterogeneous or multiplex.

Function calling has emerged as a transformative capability in AI systems, enabling language models to interact with external tools through structured JSON object generation. However, current ...

Large-scale model training focuses on improving the efficiency and scalability of neural networks, especially in pre-training language models with billions of parameters. Efficient optimization ...

The rapid growth in AI model sizes has brought significant computational and environmental challenges. Deep learning models, particularly language models, have expanded considerably in recent years, ...

Semiconductors are essential in powering various electronic devices and driving development across telecommunications, automotive, healthcare, renewable energy, and IoT industries. In semiconductor ...

Speech recognition technology has made significant progress, with advancements in AI improving accessibility and accuracy. However, it still faces challenges, particularly in understanding spoken ...

In an era of information overload, advancing AI requires not just innovative technologies but smarter approaches to data processing and understanding. Meet CircleMind, an AI startup reimagining ...