Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...

Below is a curated list of machine learning development providers that stand out in 2026 for their ability to build enterprise-grade ML solutions tailored to complex business environments.

Indian semiconductor startup Vervesemi raises $10 million to scale ML-enabled analogue chips for EVs, smart energy and ...

AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...

As artificial intelligence (AI) evolves beyond generative chat systems into agentic AI capable of autonomous action, a critical bottleneck has emerged: the lack of high-fidelity, real-time input ...

Silly humans, we don’t like change, even when it’s beneficial and necessary because there’s a chance new inventions might not work as well as old practices. Or, some added e ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently needed. Addressing this need, a review published (DOI: 10.1016/j.esci.2025.

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...