Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...
Better understanding of the design, implementation and operation of these cyber-physical systems can enable optimized process ...
Colonel Georgeo Xavier Pulikkathara, CISO at iMerit discusses the importance of fundamentals, continuous learning, and human ...
In a move that the digital twin technology provider believes will transform how organisations such as Goldman Sachs, PayPal, S&P Global and IBM manage and secure their networks, Forward Networks has ...
Abstract: Network Intrusion Detection Systems (NIDS) are fundamental to network security. However, traditional approaches often struggle with high-dimensional and imbalanced network traffic data. To ...
Tesla appears to be quietly rolling out a new version of its Full Self-Driving computer, with new Model Y owners discovering their vehicles are equipped with “Hardware 4.5”, or AI4.5 as it’s being ...
Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that ...
ALS involves motor neuron death and disrupted neural networks. Loss of V1 interneurons impairs muscle control by unbalancing signals. Stabilizing V1 interneurons can protect motor neurons, but ...
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