As instruments grow faster, leaders say clinical impact will depend on trust, standards, data, and assays built for real ...

Scientists have solved the structure of mitochondrial ATP synthase, an enzyme that makes ATP, adenosine triphosphate, the major energy source of cells. A team of scientists headed by Rosalind Franklin ...

The first structural insight is institutional. Fudan created a dedicated AI Education Innovation Center — not a symbolic ...

Summary: There’s a growing push to build new skills across government, especially in AI. But if the surrounding systems don’t support that learning, the investment may not translate into performance.

Explore our campus, meet lecturers and current students, and learn more about what it's like to study at Manchester. We place social responsibility at the heart of your learning which means you can ...

Venture capitalists prioritise founders' problem-solving skills and vision over their age in India. Kae Capital's tweet questioning the success of younger founders ignited significant debate in the ...

Abstract: Modern imaging systems face diverse degradation artifacts arising from complex sensing mechanisms and noise environments. Existing methods often require extensive parameter tuning or ...

AI detection is the wrong focus: The article argues that AI detectors are unreliable and that detection-first policies spend energy on policing rather than teaching. Policies should emphasize learning ...

Bhutan’s civil service reform increasingly speaks the language of agility, innovation and delegated authority. Yet the institutional structure governing the service remains deeply centralised. one Gho ...

eMedical Research Council Tropical Epidemiology Group, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK ...

Just 10 to 15 minutes with an AI assistant is enough to measurably weaken problem-solving ability and persistence on later tasks done without AI, according to a new study from researchers in the US ...

The AI robotics field has made significant strides in model architecture, with innovations like diffusion models, world models, and imitation learning. But progress is increasingly gated not by the ...