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Physicists at Washington University have forged ahead in the field of quantum mechanics by creating a new phase of matter known as “time crystals” and the even more advanced “time quasicrystals.”

These groundbreaking materials defy traditional physics by maintaining perpetual motion and could revolutionize quantum computing.

Performing computation using quantum-mechanical phenomena such as superposition and entanglement.

This simple animation shows the principle of Atomic Layer Deposition (ALD) using the molecules trimethyl aluminum (TMA) and water (H2O). At the end of this animation 1 monolayer (1 Angstrom ~ 10^−10 m)of Al2O3 is grown.

You may use this video for teaching /instructional purpose. We request you to please acknowledge the Banerjee Group at Washington University in St. Louis (http://research.engineering.wustl.edu/~parag.banerjee/) while using this video.

Photodynamic therapy uses a drug that is activated by light, called a photosensitizer or photosensitizing agent, to kill cancer cells. The light can come from a laser or other source, such as LEDs. Photodynamic therapy is also called PDT.

Photodynamic therapy is most often used as a local treatment, which means it treats a specific part of the body.

BANGKOK (AP) — China’s energy and auto giant BYD has announced an ultra fast EV charging system that it says is nearly as quick as a fill up at the pumps.

BYD, China’s largest EV maker, said Monday that its flash-chargers can provide a full charge for its latest EVs within five to eight minutes, similar to the amount of time needed to fill a fuel tank. It plans to build more than 4,000 of the new charging stations across China.

Charging times and limited ranges have been a major factor constraining the switch from gas and diesel vehicles to EVs, though Chinese drivers have embraced that change, with sales of battery powered and hybrid vehicles jumping 40% last year.

It could be very informative to observe the pixels on your phone under a microscope, but not if your goal is to understand what a whole video on the screen shows. Cognition is much the same kind of emergent property in the brain. It can only be understood by observing how millions of cells act in coordination, argues a trio of MIT neuroscientists. In a new article, they lay out a framework for understanding how thought arises from the coordination of neural activity driven by oscillating electric fields — also known as brain “waves” or “rhythms.”

Historically dismissed solely as byproducts of neural activity, brain rhythms are actually critical for organizing it, write Picower Professor Earl Miller and research scientists Scott Brincat and Jefferson Roy in Current Opinion in Behavioral Science. And while neuroscientists have gained tremendous knowledge from studying how individual brain cells connect and how and when they emit “spikes” to send impulses through specific circuits, there is also a need to appreciate and apply new concepts at the brain rhythm scale, which can span individual, or even multiple, brain regions.

“Spiking and anatomy are important, but there is more going on in the brain above and beyond that,” says senior author Miller, a faculty member in The Picower Institute for Learning and Memory and the Department of Brain and Cognitive Sciences at MIT. “There’s a whole lot of functionality taking place at a higher level, especially cognition.”

Since the general AI agent Manus was launched last week, it has spread online like wildfire. And not just in China, where it was developed by the Wuhan-based startup Butterfly Effect. It’s made its way into the global conversation, with influential voices in tech, including Twitter cofounder Jack Dorsey and Hugging Face product lead Victor Mustar, praising its performance. Some have even dubbed it “the second DeepSeek,” comparing it to the earlier AI model that took the industry by surprise for its unexpected capabilities as well as its origin.

S first general AI agent, using multiple AI models (such as Anthropic.


The new general AI agent from China had some system crashes and server overload—but it’s highly intuitive and shows real promise for the future of AI helpers.