 Dear Fellow Scholars, this is two-minute papers with Karoizhola Ifehir. What is an acoustic filter? Well, it is an arbitrarily shaped object that takes a sound as an input and outputs a different sound. These filters have some really amazing applications that you'll hear about in a minute. In this work, a novel technique is proposed to automatically design such filters. It works by building an arbitrarily shaped object as a set of connected tiny resonators and chooses appropriate sizes and setups for each of these elements to satisfy a prescribed set of acoustic properties. Instead of resorting to a lengthy and flimsy trial and error phase, we can use physics to simulate what would happen if we were to use a given arrangement in reality. Again, one of those works that have a deep connection to the real world around us. Absolutely amazing! The goal can be to eliminate the peaks of the sound of a car horn or an airplane engine, and we can achieve this objective by means of optimization. The proposed applications we can divide into three main categories. The first is identifying and filtering noise attenuation components for a prescribed application to which we can also refer to as muffler design. In simpler words, we are interested in filtering or muffling the peaks of a known signal. Designing such objects is typically up to trial and error, and in this case, it is even harder because we are interested in a wider variety of shape choices other than exhaust pipes and tubes that are typically used in the industry. With this unoptimized muffler, the three peaks are not suppressed. Now we replace the muffler with an optimized one. The three peaks are more suppressed. Another application from muffler designs acoustic earmuffs. We may adapt this to a lot of switching between acoustic filters. The first pair of earmuffs is optimized reduced engine crank noise. We can see a three peaks are now suppressed to a lower sound mode. Second, designing musical instruments is hard, and unless we design them around achieving a given acoustic response, we'll likely end up with in harmonious gibberish. And this method also supports designing musical instruments with... Hmm... well, non-conventional shapes. Well, this is as non-conventional as it gets I'm afraid. And also, that is about the most harmonious sound I've heard coming out of the rear end of a hippo. And third, this work opens up the possibility of making hollow objects that are easy to identify by means of acoustic tagging. Check out this awesome example that involves smacking these 3D printed piggies. Our acoustic filter design also opens up possibilities for a few new applications. In this acoustic tagging example, we optimize the tapping sound of three piggies to three sets of frequencies. The taps each piggie filter sounds differently, so that our iPhone apted the text to identify each of them. To go one step further, we demonstrate the ability to encode a bit-string pattern. Making it used to the fact that the iPhone is both a speaker and microphone at the bottom, the modulate the input white noise to encode different pig patterns. If you feel like improving your kung fu in math, there are tons of goodies such as transmission matrices, the Helmholtz equation, oh my! The paper and the talk slides are amazingly well written, and yes, you should definitely have a look at them. Let us know in the comments section if you have some ideas for possible applications beyond these ones, we'd love to read your take on these works. Thanks for watching and for your generous support, and I'll see you next time!