See also stories tagged with Innovation
Employers and recruiting firms aiming for high-performing self-starters frequently sprinkle job postings with terms like "ambitious," "thinks outside the box," "communicates persuasively" and "thinks strategically."
Ph.D. student Lena Dubinsky and Prof. Leore Grosman from the Computational Archaeology Laboratory at the Hebrew University's Institute of Archaeology have pioneered a new method to study rock engravings, merging technological ...
Genome editing stands as one of the most transformative scientific breakthroughs of our time. It allows us to dive into the very code of life and make precise modifications. Imagine being able to rewrite the genetic instructions ...
A trove of ancient plant remains excavated in Kenya helps explain the history of plant farming in equatorial eastern Africa, a region long thought to be important for early farming but where scant evidence from actual physical ...
Gendered social innovation is a crucial process that intertwines social change with female entrepreneurship, empowerment, and the evolution of work among women in the tourism industry.
A research team employed an RGB camera on an unmanned aerial vehicle (UAV) to collect time series data on sugar beet canopy coverage and height. This data was used to predict root weight and sugar content with high accuracy. ...
Creating periodic nanostructures is vital for progress in material science and nanotechnology. Traditional methods often struggle with complexity and scalability. Integrating bottom-up self-assembly of block molecules with ...
A new paper examines how high-quality jobs can increase innovation and productivity. It found that higher pay does motivate workers, alongside other metrics, but that after a certain tipping point more money does not help ...
A research team used synchrotron-based X-ray microcomputed tomography (SR-μCT) to non-invasively obtain high-quality 3D images of fresh soybean root nodules, quantifying the volumes of the central infected zone (CIZ) and ...
A research team has developed a novel method combining computer vision and deep learning to phenotype drought-stressed poplar saplings, achieving 99% accuracy in variety identification and 76% accuracy in stress-level classification.
