Artificial intelligence, generative AI, and agentic systems are rapidly reshaping enterprise technology, and nowhere is this ...

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 ...

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 ...

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 ...

Funding fuels expansion of the country’s most established developmental therapy model. Series C round led by aMoon Fund, B Capital and Flare Capital Partners with participation from Healthworx, ...

The social model of disability frames disability as something that is created by society, rather than only by medical conditions or physical differences. The model acknowledges that people have ...

Quanta Services (NYSE:PWR) said Thursday it agreed to acquire Dynamic Systems, one of the largest mechanical solutions providers in the U.S., for ~$1.35B, consisting of $1.15B in cash and $200M of ...

Integrating malicious AI models 6 into software supply chains presents a significant and emerging threat to cybersecurity. The attackers aim to embed malicious AI models in software components and ...