Lifeboat Foundation

Frame rate would be even worse than the original, though. MUCH worse.

Microsoft and OpenAI are in a discussion to invest up to $500 million in Figure AI. The deal could value the humanoid robot startup at $1.9 billion.

Batteries that work harder, better, faster, stronger?

A team of Rice University researchers mapped out how flecks of 2D materials move in liquid ⎯ knowledge that could help scientists assemble macroscopic-scale materials with the same useful properties as their 2D counterparts.

“Two-dimensional nanomaterials are extremely thin—only several atoms thick—sheet-shaped materials,” said Utana Umezaki, a Rice graduate student who is a lead author on a study published in ACS Nano. “They behave very differently from materials we’re used to in daily life and can have really useful properties: They can withstand a lot of force, resist high temperatures and so on. To take advantage of these unique properties, we have to find ways to turn them into larger-scale materials like films and fibers.”

In order to maintain their special properties in bulk form, sheets of 2D materials have to be properly aligned ⎯ a process that often occurs in solution phase. Rice researchers focused on graphene, which is made up of carbon atoms, and hexagonal boron nitride, a material with a similar structure to graphene but composed of boron and nitrogen atoms.

The organoids are the size of grain of sand and a special robot is used to screen which treatment kills off the tumour more effectively.

It helps take the guesswork out of treating advanced bowel cancer which can be difficult to beat.

“Each time you give a patient an ineffective treatment, you lose two to three months on something that won’t work,” Gibbs said.

Some human neurons take years to reach maturity; an epigenetic ‘brake’ could be responsible.

Sweden’s company ConScience AB announced that the team is launching a Qubit-in-a-box 0 (QiB0) quantum device.

Researchers have developed an ingenious air-powered soft valve circuit system devoid of electronics, showcasing its utility in a drink dispenser and its durability as a car drives over it.

The 3D-printed valve system showcases how well soft devices without electronics can work, even when facing challenges that could turn off regular robots.

According to reseachers at the University of Freiburg, its integration into everyday applications heralds a new era in robust and adaptable robotics. Soft circuit devices, which are flexible and don’t use metal, can handle damage much better than those with delicate electronics. They can survive being crushed or exposed to harsh chemicals without breaking.

As demands for computing resources continue to increase rapidly, scientists and engineers are looking for ways to build faster systems for processing information. One possible solution is to use patterns of electron spins, called spin waves, to transfer and process information much more rapidly than in conventional computers. So far, a major challenge has been in manipulating these ultrafast spin waves to do useful work.

In a significant leap forward, researchers from The University of Texas at Austin and MIT have developed a pioneering method to precisely manipulate these ultrafast spin waves using tailored light pulses. Their findings are detailed in two studies in Nature Physics, led by MIT graduate student Zhuquan Zhang, University of Texas at Austin postdoctoral researcher Frank Gao, MIT’s professor of chemistry Keith Nelson and UT Austin assistant professor of physics Edoardo Baldini.

A key component underlying our smartphones, the internet and cloud computing is magnetic data recording technology for storing and retrieving vast amounts of information. This technology hinges on the manipulation of the magnetic spin states (up and down) in ferromagnetic materials, representing the binary bits “0” and “1.” These spins are minuscule magnets, whose alignment determines the material’s magnetic properties.