Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...

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 ...

AI can identify threats and speed security analysis, but risk scoring alone cannot determine what software should be allowed ...

Jeremy Freeman, Co-Founder and CTO of Allstacks, is a software engineer, technology architect, and entrepreneur with a career ...

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 ...

Organoids have become mainstay tools for drug discovery and personalized medicine. High-throughput imaging readouts for drug screening of tumor organoids are of particular interest as organoid-level ...