Gabija Kav (@gabijakav) 's Twitter Profile
Gabija Kav

@gabijakav

PhD Fellow in Computational Biology | SDU | ATLAS | Novo Nordisk Center for Metabolic Diseases at Broad Institute

ID: 1471557546683113479

linkhttps://gabija-kavaliauskaite.github.io/GabijaKav.github.io/# calendar_today16-12-2021 19:07:37

62 Tweet

60 Followers

196 Following

NVIDIA Healthcare (@nvidiahealth) 's Twitter Profile Photo

The @BroadInstitute and NVIDIA are partnering to develop advanced #AI applications and make them available to users through the Terra Cloud Platform. Applying #LLMs is accelerating the ability to understand disease and find new cures. nvda.ws/3BFhB8n

Pradeep Krishna M (@pradeepkrish_m) 's Twitter Profile Photo

Imagine, every guy you fought against all these years wearing the same colours, cheering and celebrating you; and your greatest rival sitting next to you and crying. This will never happen for any sportsperson. What a career. What a life. What a man! #RogerFederer #ThankYouRoger

Imagine, every guy you fought against all these years wearing the same colours, cheering and celebrating you; and your greatest rival sitting next to you and crying. This will never happen for any sportsperson. What a career. What a life. What a man!

#RogerFederer #ThankYouRoger
Bojan Tunguz (@tunguz) 's Twitter Profile Photo

This week @NVIDIA open sourced the 3D object generation AI model, GET3D. GET3D is a generative model of high quality 3D textured shapes learned from images. 1/4

This week @NVIDIA open sourced the 3D object generation AI model, GET3D. GET3D is a generative model of high quality 3D textured shapes learned from images.

1/4
Google DeepMind (@googledeepmind) 's Twitter Profile Photo

Today in nature: #AlphaTensor, an AI system for discovering novel, efficient, and exact algorithms for matrix multiplication - a building block of modern computations. AlphaTensor finds faster algorithms for many matrix sizes: dpmd.ai/dm-alpha-tensor & dpmd.ai/nature-alpha-t… 1/

Seri Feliciano (@jmtfeliciano) 's Twitter Profile Photo

Wait a second, these are not real error bars … the author literally just put the letter ā€œTā€ above the bar graphs 😭

Wait a second, these are not real error bars … the author literally just put the letter ā€œTā€ above the bar graphs 😭
Riley Goodside (@goodside) 's Twitter Profile Photo

OpenAI's new ChatGPT explains the worst-case time complexity of the bubble sort algorithm, with Python code examples, in the style of a fast-talkin' wise guy from a 1940's gangster movie:

OpenAI's new ChatGPT explains the worst-case time complexity of the bubble sort algorithm, with Python code examples, in the style of a fast-talkin' wise guy from a 1940's gangster movie:
BBC Breaking News (@bbcbreaking) 's Twitter Profile Photo

Breakthrough in nuclear fusion announced by scientists, bringing us a step closer to a potential source of near-limitless clean energy bbc.in/3VTw8pR

Gabija Kav (@gabijakav) 's Twitter Profile Photo

And shout out to all the dads who are convinced that computational biology == software engineering with some statistical modeling. I guess that’s the best I can get

Michael Moor (@michael_d_moor) 's Twitter Profile Photo

2022 was wild for medical #AI and esp. medical foundation models (FMs). This 🧵lists some of the standout papers from this year about this topic. Let's go! (1/9) #medtwitter #AIinMedicine #medicalAI Nature Medicine

Saulė (@sankuperis) 's Twitter Profile Photo

The last Lithuanians saw on their TVs 32 years ago. Tonight (the night from Jan 12 to 13), 32 years ago, Moscow attempted to re-occupy Lithuania. 14 killed, hundreds wounded, some of them for life.

Google DeepMind (@googledeepmind) 's Twitter Profile Photo

Replay in our brains has been compared to "experience replay" in AI agents. šŸ” 🧠 But new research suggests this phenomenon is more computationally rich than we thought - and could help us understand how the mind integrates deep learning with reasoning: dpmd.ai/3XdzLHb

Replay in our brains has been compared to "experience replay" in AI agents. šŸ” 🧠

But new research suggests this phenomenon is more computationally rich than we thought - and could help us understand how the mind integrates deep learning with reasoning: dpmd.ai/3XdzLHb
Treutlein lab (@treutleinlab) 's Twitter Profile Photo

Save the date! Single Cell Genomics 2023 #SCG2023 takes place Oct. 9-11 2023 in the beautiful mountain town Engelberg in Switzerland! 10th year anniversary of this unique experience. IdoAmitLab, Sten Linnarsson, Alexander van Oudenaarden, MarioniLab, Rickard Sandberg, Aviv Regev, Amos Tanay

Save the date!

Single Cell Genomics 2023 #SCG2023 takes place Oct. 9-11 2023 in the beautiful mountain town Engelberg in Switzerland!

10th year anniversary of this unique experience. <a href="/IdoAmitLab/">IdoAmitLab</a>, <a href="/slinnarsson/">Sten Linnarsson</a>, <a href="/AlexandervanOu1/">Alexander van Oudenaarden</a>, <a href="/MarioniLab/">MarioniLab</a>, <a href="/sandberglab/">Rickard Sandberg</a>, Aviv Regev, Amos Tanay
Gabija Kav (@gabijakav) 's Twitter Profile Photo

Excited to announce the development of a new quality control tool for single-cell/nucleus RNA-seq data. Big thanks to Jesper Madsen for the guidance and support. Rethinking the way we analyze single cell data 🧬 #SingleCellGenomics Bonus: my first preprint

Gabija Kav (@gabijakav) 's Twitter Profile Photo

Somber but yet tranquil weather this morning in Odense. Couldn’t miss a chance to take my camera out before the work

Somber but yet tranquil weather this morning in Odense. 
Couldn’t miss a chance to take my camera out before the work
Fabian Theis (@fabian_theis) 's Twitter Profile Photo

Mathieu I think it is about broad uptake. When DeepMind ā€˜released’ Alphafold my biological colleagues started talking about AI for real, when OpenAI released ChatGPT my wife did.

Jesper Madsen (@jespergrud) 's Twitter Profile Photo

šŸ“¢ PREPRINT ALERT šŸ“¢ Clustering cells is a key step in most scRNA-seq analysis workflows. It's hard, and harder with batch effects. Our take on the problem, JOINTLY, use a hybrid linear and non-linear NMF. The non-linearity gives performance, the linearity gives interpretability

šŸ“¢ PREPRINT ALERT šŸ“¢ Clustering cells is a key step in most scRNA-seq analysis workflows. It's hard, and harder with batch effects.

Our take on the problem, JOINTLY, use a hybrid linear and non-linear NMF. The non-linearity gives performance, the linearity gives interpretability