The National Deuteration Facility has developed a capability to use a flow chemistry process to increase efficiency, increase ...

Tiffanwy Klippel-Cooper of OmnigeniQ explains how physics-based modelling could help researchers better understand drug ...

Tencent showcased its three core AI solutions to the world: ‘MagicDawn,’ ‘VISVISE,’ and ‘ACE.’ According to Tencent, the most ...

Abstract: Real-world dynamic systems often exhibit time-varying behavior. While state space models (SSMs) have shown great potential for sequence modeling, especially in capturing long-range ...

Abstract: For group containment control (GCC) problem, the presence of multiple subgroups and multiple leaders in each subgroup poses challenges for topology selection and problem analysis. This paper ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles. Physical constraints of legacy architectures made them inherently static. But in ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Vietnam’s economic rise has been extraordinary. The country has made a triple transition from central planning to a market economy, from import substitution to export-led integration and from extreme ...

Microbial systems offer distinct advantages in protein expression, saving costs and time, and offering well-characterized host genetics and ease of scale-up. 2 However, challenges remain in process ...

Large Language Model-based Multi-Agent Systems (LLM-based MASs) represent a groundbreaking paradigm where diverse LLM-based agents collaborate, leveraging their unique capabilities to achieve shared ...