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: 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 ...

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 ...

The PBMF (Publised in Cancer cell ) is an automated neural network framework based on contrastive learning. This general-purpose framework explores potential predictive biomarkers in a systematic and ...

→ 𝐀𝐈 𝐒𝐤𝐢𝐥𝐥𝐬 𝐓𝐡𝐚𝐭 𝐃𝐞𝐟𝐢𝐧𝐞 𝐁𝐅𝐒𝐈 𝐑𝐨𝐥𝐞𝐬 𝐢𝐧 2026 • Machine Learning Basics Core algorithms, predictive modeling, performance evaluation • LLM Fundamentals Understanding model ...

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 ...

Acoustic Resonance Spectroscopy (ARS) is highly sensitive to structural properties such as material, geometry, and environmental conditions; as a consequence, it can noninvasively measure internal ...

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

Legacy R&D systems fragment data, limiting integration, collaboration and AI readiness across product development workflows.

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 ...

Enterprises in India face up to 11,000 compliance instances annually from over 3.2 million regulatory websites. TeamLease RegTech is deploying AI to shift compliance from reactive record-keeping to ...