However, concerns about data privacy and computational resources ... In particular, by combining parallel training with sequential communication techniques, the impact of unbalanced data on model ...

Abstract: Further improvements in computational efficiency of numerical optimization algorithms is a promising venue to extend the applicability of model predictive ... perturbation analysis and ...

Discover how neuromorphic computing mimics the brain to power efficient, adaptive AI for robotics, healthcare, IoT, and ...

The paper introduces a new computational model that offers strategies for alloy design of real materials in seconds. Compared to traditional lab experiments and AI-based approaches, the model offers ...

Enterprises should experiment with MCP where it adds value, isolate dependencies and prepare for a multi-protocol future.

How do insects perceive mechanical stress? This is a question of interest in many different fields, including comparative morphology, neurobiology and robotics. How can artificial intelligence (AI ...

In biology, one example is the use of a computational model to study an outbreak of an infectious disease such as influenza. The parameters of the mathematical model are adjusted using computer ...

As quantum computing hardware advances, the demand for scalable, precise, and fully automated verification techniques for ...

This textbook provides a basis for a PhD course on domain-theoretic semantics of functional programming languages ... domains and shows that this model is fully abstract and universal for appropriate ...

Designing high-performance video encoding and transcoding systems that can exploit both multi-core CPU and many-core GPUs for faster-than-real-time performance. By Dr. Michael D. McCool ...