Image of the Day: Jetpack Jellyfish
Image of the Day: Jetpack Jellyfish
Jellyfish fitted with energy efficient controllers could one day find a job on ocean explorations.
Image of the Day: Jetpack Jellyfish
Image of the Day: Jetpack Jellyfish

Jellyfish fitted with energy efficient controllers could one day find a job on ocean explorations.

Jellyfish fitted with energy efficient controllers could one day find a job on ocean explorations.

robotics
Image of the Day: Bionic Heart
Image of the Day: Bionic Heart
Amy Schleunes | Jan 30, 2020
A bioengineered heart made of pig and synthetic tissues beats like the real thing.
Algorithm Designs Robots Using Frog Cells
Algorithm Designs Robots Using Frog Cells
Emma Yasinski | Jan 13, 2020
Scientists carve the shapes from piles of frog cells, like a sculptor building a statue.
Image of the Day: Fly Reconstruction
Image of the Day: Fly Reconstruction
Emily Makowski | Sep 27, 2019
Scientists create a micro-CT scan image of Drosophila in fine detail.
Image of the Day: Tunabot
Image of the Day: Tunabot
Emily Makowski | Sep 25, 2019
This fish-inspired robot swims at greater speeds than previous ones.
Image of the Day: Flying Fish RobotImage of the Day: Flying Fish Robot
Image of the Day: Flying Fish Robot
Emily Makowski | Sep 18, 2019
The developers envision their device could be used to collect water samples in hazardous environments.
Image of the Day: Jelly Bot
Image of the Day: Jelly Bot
Chia-Yi Hou | Jul 3, 2019
See a tiny, jellyfish-like robot swim, burrow, and carry beads.
Image of the Day: Bee Bot
Image of the Day: Bee Bot
Chia-Yi Hou | Jul 1, 2019
Developers made an insect-like robot with two pairs of wings.
Image of the Day: Imitation Fish
Image of the Day: Imitation Fish
Chia-Yi Hou | Jun 20, 2019
Scientists create a soft-bodied robotic fish that pumps synthetic blood and swims on its own.
Robert Murphy Bets Self-Driving Instruments Will Crack Biology’s Mysteries
Robert Murphy Bets Self-Driving Instruments Will Crack Biology’s Mysteries
Shawna Williams | Apr 30, 2019
The Carnegie Mellon computational biologist thinks machine learning algorithms can direct high-throughput experiments to solve the field’s unanswered questions.