Abstract: The configuration of most robotic systems lies in continuous transformation groups. However, in mobile robot trajectory tracking, many recent works still naively utilize optimization methods ...
With artificial intelligence (AI) firmly established in its product offerings, global comms tech provider Nokia has elevated its position in AI-ready networking, expanding its relationship with Amazon ...
BMPC is a model-based reinforcement learning algorithm built on TD-MPC2’s world model, designed to enhance policy learning through expert iteration. BMPC leverages Model Predictive Control (MPC) to ...
Abstract: This paper proposes a predictive techno-economic analysis in terms of voltage stability and cost using regression-based machine learning (ML) models and effectiveness of the analysis is ...
Modern cybersecurity operations depend on fast, reliable data movement across cloud, on-premises and hybrid environments. Security teams collect data from security information and event management ...
VS Code can use LLM models other than GitHub Copilot’s built-in providers for AI-assisted development, including local and ...
Legacy R&D systems fragment data, limiting integration, collaboration and AI readiness across product development workflows.
Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...
Dissecting protective versus detrimental immune responses uncovers biomarkers and mechanisms that can inform the rational design and evaluation of live attenuated vaccines against African swine fever ...
Z.ai pitches GLM-5.2 for long-running software engineering tasks The open-source model combines a one-million-token context window with architectural updates aimed at lowering the cost of ...
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