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Age: 20 Weight: 52 Height: 5'7 Past relationships: None Fell In Love: No Smoking: NEVER Job: Unemployed Fav Food: Chhole Bhature Fav Color: Idk maybe Royal Blue Fav Drink: Nimbu paani Fav Snacks: Samosa

I’ve been dying to reconnect with her since this person deleted all the social media when she turned 17 to hyper focus and I lost touch ever since she moved to the states for her undergrad. I look upto her so damn much & kinda just wanna work with her again. Last I heard she was at Stanford. I might just have to find her 😭 directly.

In Maths sometimes the lack of Mathematical Tools is one of the major reasons why certain Conjectures / Hypothesis haven't been proven yet Here's one more way to look at it "Why you should build your Mathematical Toolkit we'll if you're into Proofs" This person in my DM is quite good at Maths but he had some doubts regarding how to approach proofs, that's the fun part. whenever you study proofs, your goal must be to actually understand the underlying mechanism of each step. think of it like this: if you show a proof to someone who has never studiwd a proof, they won't even be able to read it, let alone understand it. the real purpose of studying proofs is to extract the methods and ideas used to reach a certain conclusion. He is totally right, you can't remember proofs permanently because they aren't meant to be memorized, A rigorous proof is generalized abstract reasoning built on a strict, unbroken chain of prior logic. there is definitely another way to understand proofs where you study math topics in their most generalized, abstract forms from the get go. when you build up from those foundational building blocks, it does feel intuitive. but that takes time to learn. you have to approach every proof like this, when dissecting them Say you're given "Prove x, based on our initial givens and conditions y" look at the rigorous proof and map out the entire chain of thought that led there. once you're sure you've got it, write it down once to cement it, and then compress that information. break it down into steps as a chain of logical arguments. a lot of it relies on Maths toolkit. like in calculus, that toolkit comes from real analysis, where you're introduced to stuff like monotonicity tests, to evaluate whether a function or sequence consistently increases or decreases across its domain, because that specific behavior becomes useful to you later. Other similar tools are things like the Intermediate Value Theorem and the Mean Value Theorem. you don't memorize the paths. you master the tools of that specific subject and use them to connect your known facts until they align with your goal. Combinatorics and Number theory use a different toolkit, like the fundamental theorem of arithmetic, but the process of compressing it to the core logical pivot is the exact same. so long story short: you observe the proof, compress the core strategy, and connect the dots using your logic chain. Mathematical Facts often isolated until you look deep enough and figure out that there is a chain connecting them all. When studying proofs your goal is to understand those connections You can't generate a good proof of anything if you don't know your facts nd tools

Automating the lab bench is the best thing we can do for AI in biology. Most experiments are still run by hand. Every biologist's handiwork is unique and every lab is a little different. So, biology faces widespread reproducibility issues. But, AI will demand more reproducible data than we can produce, and generate more ideas than we can test. Experiments must be communicated and executed in a standardized way to generate reproducible data. So, Tetsuwan is building a lab where users specify experiments in an exact syntax. These experiments are executed by an automated platform to generate transparent, reproducible output. The user never needs physical access to a lab. This is a biology lab you can use like a computer. Our platform, built and tested with pilot labs over the past two years, lets users configure automated workflows rapidly & precisely. Later this year, we will bring our first services online, focusing on functional screens for protein design. Alex and I met at Caltech, where she was one year my senior. We're building this company because we were little kids who wanted to be biologists that grew up into adults who resented the lab bench. We want biology to be about asking questions, not the painful and frustrating manual process of asking them. For those looking to receive updates on our pilot services, looking for a meaningful job, or just to learn more about our work, see the links in the comments!

Hmmmm !!!

messi wtf mate