The Tesla and LVMH chiefs were joined by Maye Musk and Alexandre and Antoine Arnault at the ritzy Cheval Blanc hotel in the French capital.
A team of researchers has developed a new method for controlling lower limb exoskeletons using deep reinforcement learning. The method entitled, “Robust walking control of a lower limb rehabilitation exoskeleton coupled with a musculoskeletal model via deep reinforcement learning,” published in the Journal of NeuroEngineering and Rehabilitation, enables more robust and natural walking control for users of lower limb exoskeletons.
While advances in wearable robotics have helped restore mobility for people with lower limb impairments, current control methods for exoskeletons are limited in their ability to provide natural and intuitive movements for users. This can compromise balance and contribute to user fatigue and discomfort. Few studies have focused on the development of robust controllers that can optimize the user’s experience in terms of safety and independence.
Existing exoskeletons for lower limb rehabilitation employ a variety of technologies to help the user maintain balance, including special crutches and sensors, according to co-author Ghaith Androwis, Ph.D., senior research scientist in the Center for Mobility and Rehabilitation Engineering Research at Kessler Foundation and director of the Center’s Rehabilitation Robotics and Research Laboratory. Exoskeletons that operate without such helpers allow more independent walking, but at the cost of added weight and slow walking speed.
A sci fi documentary exploring a timelapse of future space colonization. Travel through 300 years, from 2052 to 2,301 and beyond, and see how modern science fiction becomes reality.
Witness the journey of humans expanding from Earth, to the Moon, to Mars, and beyond.
Turning space into a second home, and becoming neighbours to the stars.
Other topic include: the development of fusion rocket engines, robot missions to Europa, advanced space colony building technology, a Venus floating city, the advanced Moon colony, advanced Mars colonization, asteroid mining stations, the future of quantum computer technology and building in space, simulations of a black hole, the galaxy, and the Big Bang, bio-engineering for space, advanced Asteroid deflection technology, and looking for life in the Universe.
Researchers from Duke University and associated partners have uncovered the atomic mechanics that render a group of substances, known as argyrodites, promising prospects for solid-state battery electrolytes and thermoelectric energy converters.
Their findings, made possible through a machine learning.
Machine learning is a subset of artificial intelligence (AI) that deals with the development of algorithms and statistical models that enable computers to learn from data and make predictions or decisions without being explicitly programmed to do so. Machine learning is used to identify patterns in data, classify data into different categories, or make predictions about future events. It can be categorized into three main types of learning: supervised, unsupervised and reinforcement learning.
A new study published in Psychological Science investigated the relationship between loneliness, brain activity, and social interactions. The results suggest that individuals who experience loneliness may process social information differently from those who do not, contributing to feelings of isolation and disconnection.
The study highlights the importance of social connection for psychological well-being. It emphasizes the need for further research in this area to develop effective interventions to help individuals experiencing loneliness improve their social connections and overall quality of life.
Humans are social creatures, and social connection is essential for physical and mental health. Social isolation and loneliness have been linked to various adverse outcomes, including depression, anxiety, cardiovascular disease, and even mortality.
By using error mitigation, IBM scientists believe they’ve worked around the quantum noise that plagues quantum processors.
Physicists at the Large Hadron Collider (LHC) are closing in on an explanation for why we live in a universe of matter and not antimatter.
Matter and antimatter are two sides of the same coin. Every type of particle has an anti-particle, which is its equal and opposite. For instance, the antimatter equivalent of a negatively charged electron is a positively charged positron.
A team of scientists have successfully demonstrated the world’s first cosmic-ray GPS to detect movement underground and in volcanoes which can potentially aid in future search-and-rescue missions.
Cosmic rays are high-energy particles originating from outer space, including sources such as the sun, distant galaxies, supernovae, and other celestial bodies. Although we can’t see or feel cosmic rays directly, they constantly bombard the Earth from outer space.
In fact, these particles are so abundant that scientists estimate one cosmic ray hits one square centimeter of the Earth’s surface every minute! Scientists study cosmic rays to learn about the universe and how particles interact at high energies.
University of Chicago physicists have finally engineered a way to create turbulence in a tank of water by using a ring of jets to blow loops until an isolated “ball” of turbulence forms and stays.
