Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.

Solar power is racing ahead as one of the cheapest ways to cut emissions, but the industry is quietly stockpiling a future ...

Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...

X released a new world model that it says is a solid step toward its robots being able to teach themselves new tasks.

Embedded recruiters deliver 65% faster hiring, lower cost-per-hire, and flexible recruitment scaling for Europe’s ...

Control engineering plays a pivotal role in understanding and designing systems ranging from biological feedback loops to ...

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

In its effort to correlate genomic structure with gene function, the 4D Nucleome Consortium (4DN), led by Job Dekker, Ph.D., ...

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

Abstract: This article is devoted to data identification optimal control for quantized linear systems under denial of service (DoS) attacks. A least-squares algorithm is provided to identify the ...

Light can be sculpted into countless shapes. Yet building optical devices that can simultaneously manipulate many different ...

Abstract: Existing time-domain simulation of LCC-HVDC systems faces a trade-off between accuracy and efficiency. The electromagnetic transient model can accurately emulate detailed dynamic processes, ...