
Machine learning takes on synthetic biology: algorithms can bioengineer cells for you
Scientists have developed a new tool that adapts machine learning algorithms to the needs of synthetic biology to guide development systematically.
Biomechanical engineering is a bioengineering subdiscipline, which applies principles of mechanical engineering to biological systems and stems from the scientific discipline of biomechanics. Topics of interest in the field include biomedical engineering and agricultural engineering.
Scientists have developed a new tool that adapts machine learning algorithms to the needs of synthetic biology to guide development systematically.
Research team of members from North Carolina State University and Temple University have developed soft robots inspired by jellyfish that can outswim their real-life counterparts. They created these new soft robots - without an inner spine - from two bonded layers of the same elastic polymer.
A new technology being developed by a group of scientists will help improve control of robotic hands. This upgrade will help amputees have better individual finger control and automation for improved grasping and scope of movement.