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 ...

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 ...

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 ...

Energy needs for data centers is significant and rising, stressing traditional power plants that rely on hydroelectric, coal, oil and natural gas. According to a 2024 report by the Lawrence Berkeley ...

Over the last few months, many AI boosters have been increasingly interested in generative video models and their seeming ...

Oct 1 (Reuters) - Bristol Myers Squibb (BMY.N), opens new tab, Takeda Pharmaceuticals (4502.T), opens new tab and Astex Pharmaceuticals are coming together to share proprietary data for training an ...

Abstract: The measurement data of power systems are often mixed with a lot of noise due to the interference of the external environment. In order to eliminate the effect of noise, it is significant to ...