New research suggests that the asteroid responsible for forming Earth’s largest impact crater was even bigger than researchers had previously estimated.
A series of buzzing, bee-like “loop-currents” could explain a recently discovered, never-before-seen phenomenon in a type of quantum material. The findings from researchers at the University of Colorado Boulder may one day help engineers to develop new kinds of devices, such as quantum sensors or the quantum equivalent of computer memory storage devices.
The quantum material in question is known by the chemical formula Mn3Si2Te6. But you could also call it “honeycomb” because its manganese and tellurium atoms form a network of interlocking octahedra that look like the cells in a beehive.
Physicist Gang Cao and his colleagues at CU Boulder synthesized this molecular beehive in their lab in 2020, and they were in for a surprise: Under most circumstances, the material behaved a lot like an insulator. In other words, it didn’t allow electric currents to pass through it easily. When they exposed the honeycomb to magnetic fields in a certain way, however, it suddenly became millions of times less resistant to currents. It was almost as if the material had morphed from rubber into metal.
Generalized in-hand manipulation has long been an unsolved challenge of robotics. As a small step towards this grand goal, we demonstrate how to design and learn a simple adaptive controller to achieve in-hand object rotation using only fingertips. The controller is trained entirely in simulation on only cylindrical objects, which then – without any fine-tuning – can be directly deployed to a real robot hand to rotate dozens of objects with diverse sizes, shapes, and weights over the z-axis. This is achieved via rapid online adaptation of the robot’s controller to the object properties using only proprioception history. Furthermore, natural and stable finger gaits automatically emerge from training the control policy via reinforcement learning.
The form gets rolled out on a concrete slab or other foundation, then inflated with an air pump; at this point, it may look a little like one of those bouncy houses you see at children’s parties. Then a ready mix truck shows up—these trucks can mix concrete on their way to a site or at the site itself—and pumps concrete into the form. The company’s website says they can use local ready mix concrete, aircrete (a lightweight version of concrete that incorporates air bubbles instead of traditional aggregate), sustainable cement, and other “pumpable building materials.”
The concrete-pumping step is a bit like 3D printing, though 3D printed homes use concrete as printer “ink” to put walls down layer by layer rather than spitting all the concrete into a form at once. This is even faster; Bell told New Atlas, “For our 100-square-foot and 200-square-foot prototypes, the inflation took 7 to 10 minutes with air. Then the concrete pump filled them in 1.5 hours.”
Once the concrete has dried, the form isn’t stripped away; it stays right where it is, serving as an airtight barrier for waterproofing and insulation. The final step is to add all the things that make a house look and function like a house rather than a giant clay art project, that is, a facade, windows, doors, drywall, HVAC, and plumbing.
This book explores the psychological impact of advanced forms of artificial intelligence. How will it be to live with a superior intelligence? How will the exposure to highly developed artificial intelligence (AI) systems change human well-being? With a review of recent advancements in brain–computer interfaces, military AI, Explainable AI (XAI) and digital clones as a foundation, the experience of living with a hyperintelligence is discussed from the viewpoint of a clinical psychologist. The theory of universal solicitation is introduced, i.e. the demand character of a technology that wants to be used in all aspects of life. With a focus on human experience, and to a lesser extent on technology, the book is written for a general readership with an interest in psychology, technology and the future of our human condition. With its unique focus on psychological topics, the book offers contributions to a discussion on the future of human life beyond purely technological considerations.
Our cells change over our lifespan and while some of the changes are necessary and beneficial to our body, sometimes they change in a dangerous and life-threatening way.
Knowing what type of cancer mutation you have is one of the best things you can do to narrow down treatment plans and eligibility for clinical trials. A great way to do that is to get Next-Generation Sequencing (NGS) testing done.
Australian and UK researchers grow brain cells in a lab that have learned to play a 1970s video game.
An interdisciplinary team of researchers has developed a blueprint for creating algorithms that more effectively incorporate ethical guidelines into artificial intelligence (AI) decision-making programs. The project was focused specifically on technologies in which humans interact with AI programs, such as virtual assistants or “carebots” used in healthcare settings.
“Technologies like carebots are supposed to help ensure the safety and comfort of hospital patients, older adults and other people who require health monitoring or physical assistance,” says Veljko Dubljević, corresponding author of a paper on the work and an associate professor in the Science, Technology & Society program at North Carolina State University. “In practical terms, this means these technologies will be placed in situations where they need to make ethical judgments.”
“For example, let’s say that a carebot is in a setting where two people require medical assistance. One patient is unconscious but requires urgent care, while the second patient is in less urgent need but demands that the carebot treat him first. How does the carebot decide which patient is assisted first? Should the carebot even treat a patient who is unconscious and therefore unable to consent to receiving the treatment?”
The Biden administration unveiled a set of far-reaching goals Tuesday aimed at averting harms caused by the rise of artificial intelligence systems, including guidelines for how to protect people’s personal data and limit surveillance.
The Blueprint for an AI Bill of Rights notably does not set out specific enforcement actions, but instead is intended as a White House call to action for the U.S. government to safeguard digital and civil rights in an AI-fueled world, officials said.
“This is the Biden-Harris administration really saying that we need to work together, not only just across government, but across all sectors, to really put equity at the center and civil rights at the center of the ways that we make and use and govern technologies,” said Alondra Nelson, deputy director for science and society at the White House Office of Science and Technology Policy. “We can and should expect better and demand better from our technologies.”
The key to maximizing traditional or quantum computing speeds lies in our ability to understand how electrons behave in solids, and a collaboration between the University of Michigan and the University of Regensburg captured electron movement in attoseconds—the fastest speed yet.
Seeing electrons move in increments of one quintillionth of a second could help push processing speeds up to a billion times faster than what is currently possible. In addition, the research offers a “game-changing” tool for the study of many-body physics.
“Your current computer’s processor operates in gigahertz, that’s one billionth of a second per operation,” said Mackillo Kira, U-M professor of electrical engineering and computer science, who led the theoretical aspects of the study published in Nature. “In quantum computing, that’s extremely slow because electrons within a computer chip collide trillions of times a second and each collision terminates the quantum computing cycle.
