Robotics could enter a new industrial super cycle as advances in AI, sensors, and hardware fuse digital intelligence with physical capability across industries. Read more here.

Shankar Raman says IITM Pravartak aims to bridge India’s research-to-industry gap by developing indigenous technologies in sensors, networking, control systems and deep tech.

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what they have learned to make ...

In this episode of "Uncanny Valley," we discuss the economics and environmental impacts of energy-hungry data centers and ...

Coupled with the rapidly emerging technology of quantum computing, advancements in weather prediction will greatly benefit ...

Dongfeng Gu and colleagues review community based cohort studies in China, finding strategies to improve the quality and scale of these studies in China and beyond Community based cohort studies ...

Workloads, system performance, and the need to continually learn and adapt are demolishing constraints that have made chip ...

When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...

Objectives To (1) synthesise the experiences of people with heart failure and those who care for them concerning participation in physical activity (2) develop a logic model for a future intervention ...

Abstract: The wide range acquisition of all-weather land surface temperatures (LSTs) from passive microwave (PMW) remotely sensed data contributes to understanding the land-atmosphere interactions, ...

Background: This study examines the effect of physical activity (PA) on life satisfaction (LS), focusing on the mediating role of psychological resilience (PR) and the moderating role of mindfulness ...