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: Future smart grid virtual power plants (VPPs) are considered for development based on industry communication standards for electric vehicle (EV) chargers such as Open Charge Point Protocol ...

Thinking Machines Lab released Inkling on July 15, 2026, its first model trained from scratch. The full weights ship under Apache 2.0. It is a 975B-parameter Mixture-of-Experts transformer with 41B ...

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Ant Group’s Robbyant has released LingBot-VLA 2.0, a Vision-Language-Action (VLA) foundation model for robots. The release includes a technical report, an Apache-2.0 codebase, and a 6B checkpoint. The ...

Third-party cookies are officially gone in 2026, and the first-party-data conversation has moved from theoretical to ...

Fan C, Tian M, Ding Z, Peng J, Yiliyiming G, Fan M, Tuerxun A, Qiu B and Zhu X (2026) Development and validation of an interpretable machine learning-based predictive model for breast cancer bone ...

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

Advsr AI Spotlight Highlighting notable AI moves at the intersection of strategic operating companies and emerging startups.