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Experiments performed by psychologists indicate that many people can tell whether their tea is hot or cold by listening to it being poured into a mug. Pouring sounds can also contain other information about a liquid—a connection that has been thoroughly investigated for natural fluids, ranging from rain drops to ocean waves. Now Ho-Young Kim from Seoul National University, South Korea, and colleagues have studied an artificial system—a fluid jet hitting a liquid bath—revealing that the volume of the sound that is produced depends on the jet’s shape prior to impact [1]. The results indicate that sound could be used as a noninvasive probe of oxygen levels in bodies of water, says Kim.

The researchers sent a few-millimeters-diameter jet of water down a nozzle that hung above a 10-cm-diameter water-filled cylinder. Using an underwater microphone they recorded the amplitude of the sounds produced when the jet hit the surface as a function of the nozzle’s height. Using a camera, they monitored the pattern of bubbles that formed in the cylinder after jet impact and the outline of the jet, which for sufficiently high nozzles broke up into a train of droplets prior to hitting the water surface.

The team found that as the jet developed more ripples and then broke into droplets, it produced louder sounds—a consequence of the trapping of more air bubbles in the water bath. The result implies that, since thin jets break up more easily than thick ones, thin jets should splash more loudly for a given pouring height. Trying to silently serve tea by carefully pouring a thin stream of liquid may thus be unsuccessful, says Kim.

Let’s kick off the Holiday Season in style, shall we? Like, say, with a single few people even know exist, from a massive pop culture phenomenon of the early ’80s? YES PLEASE! This really needs no introduction. It’s KITT, the Amazing Car of Tomorrow, in full hero mode, Saving Santa from bad weather, and then making the rounds to bring joy and cheer on Christmas Morning — All told in an early ’80s rap, over an electro groove lifted from the Knight Rider theme song. Hopefully you’ve already hit play, but if you haven’t yet, HIT PLAY NOW! And if you have, then PLAY IT AGAIN! And of course, I’d like to wish you all a Verry Merry Christmas! Like it? Subscribe! Follow me at / djmikebrady I don’t own any of the rights associated with this music, I simply share so that it will be heard. #PlayingRecords #NeedleDrop #RecordCollection

In machine learning, larger networks with increasing parameters are being trained. However, training such networks has become prohibitively expensive. Despite the success of this approach, there needs to be a greater understanding of why overparameterized models are necessary. The costs associated with training these models continue to rise exponentially.

A team of researchers from the University of Massachusetts Lowell, Eleuther AI, and Amazon developed a method known as ReLoRA, which uses low-rank updates to train high-rank networks. ReLoRA accomplishes a high-rank update, delivering a performance akin to conventional neural network training.

Scaling laws have been identified, demonstrating a strong power-law dependence between network size and performance across different modalities, supporting overparameterization and resource-intensive neural networks. The Lottery Ticket Hypothesis suggests that overparameterization can be minimized, providing an alternative perspective. Low-rank fine-tuning methods, such as LoRA and Compacter, have been developed to address the limitations of low-rank matrix factorization approaches.

BEIJING/SHANGHAI, Dec 22 (Reuters) — Tesla (TSLA.O) has acquired land in Shanghai for a megapack battery manufacturing plant with production expected to start in the fourth quarter of 2024, Chinese state media reported on Friday.

Tesla paid 222.42 million yuan ($31.13 million) for use rights to a 19.7-hectare (48.7 acres) plot, a separate government statement said on Thursday. The site is near an existing Tesla plant producing Model 3 and Model Y cars.

Tesla did not immediately respond to a request for comment.

UCLA breaks new ground in alloy research, presenting the first 3D mapping of medium and high-entropy alloys, potentially revolutionizing the field with enhanced toughness and flexibility in these materials.

Alloys, which are materials such as steel that are made by combining two or more metallic elements, are among the underpinnings of contemporary life. They are essential for buildings, transportation, appliances and tools — including, very likely, the device you are using to read this story. In applying alloys, engineers have faced an age-old trade-off common in most materials: Alloys that are hard tend to be brittle and break under strain, while those that are flexible under strain tend to dent easily.

Advancements in Alloy Research.