‘It’s not always convenient for people to leave their homes to retrieve deliveries or for businesses to run their own delivery services,’ Ken Washington, chief technology officer at Ford, wrote in a blog post.
‘If we can free people up to focus less on the logistics of making deliveries, they can turn their time and effort to things that really need their attention.
‘Enter Digit, a two-legged robot designed and built by Agility Robotics to not only approximate the look of a human, but to walk like one, too,’ Washington added.
A nimble robot inspired by bush babies can now bounce three times its own height in a single leap.
SALTO (saltatorial locomotion terrain obstacles) was fist designed to jump at 4mph (1.75 m/s) but a host of new features have now been added to the nifty machine.
A single leg, inspired by those of the galago, or Senegalese bush baby, propels the robot across a range of terrain and over various obstacles.
Quantum computing’s processing power could begin to improve artificial-intelligence systems within about five years, experts and business leaders said.
For example, a quantum computer could develop AI-based digital assistants with true contextual awareness and the ability to fully understand interactions with customers, said Peter Chapman, chief executive of quantum-computing startup IonQ Inc.
“Today, people are frustrated when a digital assistant says, ‘Sorry, I couldn’t understand that,’” said Mr. Chapman, who was named CEO of the venture-capital-backed startup this week after about five years as director of engineering for Amazon.com Inc.’s Amazon Prime. Quantum computers “could alleviate those problems,” he said.
Researchers have developed a brain-computer interface the size of a baby aspirin that can restore mobility to people with paralysis or amputated limbs.
How does it work? It rewires neural messages from the brain’s motor cortex to a robotic arm, or reroutes it to the person’s own muscles. In this video, Big Think contributor Susan Hockfield, president emerita of MIT, explains further.
Owners of thoroughbred stallions carefully breed prizewinning horses over generations to eke out fractions of a second in million-dollar races. Materials scientists have taken a page from that playbook, turning to the power of evolution and artificial selection to develop superconductors that can transmit electric current as efficiently as possible.
Perhaps counterintuitively, most applied superconductors can operate at high magnetic fields because they contain defects. The number, size, shape and position of the defects within a superconductor work together to enhance the electric current carrying capacity in the presence of a magnetic field. Too many defects, however, can lead to blocking the electric current pathway or a breakdown of the superconducting material, so scientists need to be selective in how they incorporate defects into a material.
In a new study from the U.S. Department of Energy’s (DOE) Argonne National Laboratory, researchers used the power of artificial intelligence and high-performance supercomputers to introduce and assess the impact of different configurations of defects on the performance of a superconductor.