Kumar Gaurav

Computational Biophysics PhD student @IPPMainz @imbmainz @uni_mainz

[Kumar Gaurav @K_Gaurav07]

Ecstatic to share my 1st first author publication out in @ACS_Omega. We studied substrate Vs inhibitor binding to the active site of a pharmacological target of M. tuberculosis using MD simulation, quantum calculations and free energy computation. https://t.co/y0Aom2Efpv

[Mira Murati @miramurati]

The knowledge that makes AI useful is diffused. It lives with scientists, engineers, clinicians, firms. For AI to benefit from distributed knowledge, it must itself be distributed. Agree with Jensen that this is a future worth building.

[Alex Vacca @itsalexvacca]

Meta, Google, and Microsoft all use encryption built by the same 50-person nonprofit.

Zero revenue from 2 billion users. The founder uses a fake name. And when the FBI subpoenaed them, they only provided 2 pieces of data.

Here's how a non-profit secures the internet🧵

[Gemini Notebook @Gemini_Notebook]

You weren't dreaming— the @NotebookLM mobile app started rolling out this morning! We were eager to get the app into your hands, so this initial version has an MVP feature set with more functionality coming soon!

Here are a few of the features we're most excited about: 🧵🧵🧵

[Kyle Tretina, Ph.D. @AllThingsApx]

AI for Proteins is moving from sequence-only to structure-function-aware protein generation.

In case you missed it this weekend, meet APM from two ByteDance interns:

The first generative model that can directly design multi-chain protein complexes at the all-atom level

[Andrew D. Huberman, Ph.D. @hubermanlab]

Things known to improve your health that cost nothing (but time). Morning sunlight viewing, post meal walks, running, lifting heavy (for you) objects (or bodyweight & rocks; done right = real work), hydration, physiological sighs (fastest de-stress there is). NSDR (see below):

[Krithik Ramesh @KrithikTweets]

🧬 Meet Lyra, a new paradigm for accessible, powerful modeling of biological sequences. Lyra is a lightweight SSM achieving SOTA performance across DNA, RNA, and protein tasks—yet up to 120,000x smaller than foundation models (ESM, Evo). Bonus: you can train it on your Mac.

read our paper here: https://t.co/oh1czZLlW5

[Satya Nadella @satyanadella]

GitHub Copilot is all-in on agents. Check out Agent Mode, and a first look at our Autonomous SWE agent.

[Molecular Cell @MolecularCell]

Online Now: m6A sites in the coding region trigger translation-dependent mRNA decay https://t.co/CJ5oONrKQp

[Prof. Nikolai Slavov @slavov_n]

A timeless model for writing a research summary.

[Itai Yanai @ItaiYanai]

Doing good science is 90% finding a science buddy to constantly talk to about the project.

[Prof Lennart Nacke, PhD @acagamic]

How to write the introduction chapter of your thesis

[Abhishek Singharoy @abhisekhsingha1]

Shout out for this cool initiative @BiophysJ :)

[Günter Klambauer @gklambauer]

Small Molecule Optimization with Large Language Models

Galactica- and Gemma-like LLMs are trained on a large dataset of molecules...

P: https://t.co/fYIvxc5JE3

[MDDB @mddbEU]

Signed by over 120 experts, our letter highlighting the urgent need for a collaborative effort to establish a #FAIR database for #MolecularDynamics simulation data, is now on Arxiv.

📎 Read it here: https://t.co/VE3qMULPRX

📝Support our statement: https://t.co/7vp58TPy1A

#MDDB

[Alex Bodner @AlexBodner_]

I’m thrilled to present the KAN Convolutional Layer, a promising neural architecture for image processing. Last week KANs came out, as an alternative to the MLP. We extended this idea to Convolutional Layers, creating the KAN Convolution. Join me in this thread to more about it🧵

[Neuroscience News @NeuroscienceNew]

New Study Redefines Human Sound Localization

Researchers overturned a 75-year-old theory on how humans determine the origin of sounds, suggesting implications for future audio technology.

The study demonstrates that humans, like other mammals, use a simpler and more energy-efficient neural network for spatial hearing, rather than the complex systems previously assumed.

This simpler network also helps differentiate speech from background noise, potentially solving the 'cocktail party problem' that challenges current hearing devices and smart assistants.

These findings could lead to the development of more adaptable and efficient hearing aids and smartphones, enhancing how they process auditory information.

1/3

[Akshay 🚀 @akshay_pachaar]

Let's implement & train this neural network step-by-step, from scratch using PyTorch!

1/n

[BioExcel CoE @BioExcelCoE]

📢Registration is open for the "2nd BioExcel Conference on Advances in Biomolecular Simulations"

➡️ https://t.co/rI60l9mQcy

🗓️ 20 - 23 October 2024
📍Brno, Czech Republic

📩Submit your abstract to give a talk alongside an already great line-up of speakers❗️

[Royal Society of Chemistry @RoySocChem]

Join us in Oxford this September for a Faraday Discussion to explore the role of data in the chemical sciences in our unique format – with Alán Aspuru-Guzik, Kim Jelfs, Heather Kulik and Aron Walsh.

Discover our @Faraday_D #FD_Data #DigitalChemistry: https://t.co/6GyB2DpYnM

[Mushtaq Bilal, PhD @MushtaqBilalPhD]

ChatGPT just introduced custom GPTs. Now you can make ChatGPT a reliable research assistant.

Here's how to create your personal AI-powered research assistant in less than 10 minutes: