Abstract: Model predictive control (MPC) is an advanced control technique with salient features, such as simplicity applied in multivariable systems, fast-transient response, inclusion of ...

Kindly share this postVentures Platform and the Yemisi Shyllon Museum of Art (YSMA), Pan-Atlantic University, are pleased to ...

Kindly share this postAs part of activities leading up to her investiture as the 14th President of the Chartered Institute of ...

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

The integration of AI and Machine Learning into injury prediction is transforming how researchers, clinicians, and sports ...

Abstract: Model Predictive Control (MPC) method is widely used in autonomous vehicle control technology. The adjustment of MPC weights is crucial for optimizing its control performance, ensuring ...

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

Ongoing research into AI agent framework security identified an exploit chain in AutoGen Studio (AutoGen’s open-source prototyping user interface) that allows untrusted web content rendered by a ...

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

Agentic AI is fast becoming a critical element of all enterprises. Businesses are incorporating pilots into their operations, ...

Public experiment log using Get Physics Done (GPD) with Codex to explore predictive control of tokamak plasma turbulence and confinement. A physics-based flight simulator for optimizing airbrake ...