Bharath

@rbhar90
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Founder and CEO of Deep Forest Sciences, Lead Developer of DeepChem. Machine learning for drug discovery, small molecule design, differentiable physics https://twitter.com/rbhar90

GHC Proposal: Extension lifecycle framework. This is from the HF's Stability Working Group: https://github.com/ghc-proposals/ghc-proposals/pull/601

Do you think this would bring value to your team? Either way, we'd like to hear about it on the discussion thread!

Extension lifecycle framework proposal (under review) by david-christiansen · Pull Request #601 · ghc-proposals/ghc-proposals

This proposal suggests a defined lifecycle for language extensions, to more clearly communicate tacit community knowledge about which extensions make sense in which contexts. Additionally, it propo...

GitHub
Researchers at UCLA Health and Harvard have identified 10 #pesticides that significantly damaged #neurons implicated in the development of #Parkinson’s disease, providing new clues about environmental #toxins’ role in the disease.
#Environmental #Medical #Neuroscience #sflorg
https://www.sflorg.com/2023/05/en05182301.html
Researchers identify 10 pesticides toxic to neurons involved in Parkinson’s

With thousands of pesticides in use, the researchers’ new screening approach could make it easier to determine which ones are linked to the disease

Wow... just learned about this story on the race to invent optogenetics.

https://www.statnews.com/2016/09/01/optogenetics/

The difference in doing and communicating high quality research from a "small" versus "elite" university is well amplified.

#neuroscience #optogenetics

He may have invented one of neuroscience’s biggest advances. But you’ve never heard of him

The saga of Zhuo-Hua Pan, perhaps the rightful inventor of optogenetics, raises the question of what it means to invent something in science.

STAT

OpenCon: Open-world Contrastive Learning

Yiyou Sun, Yixuan Li

https://openreview.net/forum?id=2wWJxtpFer

#deeplearning #imagenet #supervised

OpenCon: Open-world Contrastive Learning

Machine learning models deployed in the wild naturally encounter unlabeled samples from both known and novel classes. Challenges arise in learning from both the labeled and unlabeled data, in an...

OpenReview
Does anyone here know of work using functional programming for physical simulations?

You can now watch the recorded material from #NeurIPS2022 online without registration at:

https://slideslive.com/neurips-2022

NeurIPS 2022

SlidesLive
says the guy understaffing an IT department
#compchem Good read; Basis Set Limit CCSD(T) Energies for Extended Molecules via a Reduced-Cost Explicitly Correlated Approach https://doi.org/10.1021/acs.jctc.2c01031
Solvable model of deep thermalization with distinct design times https://quantum-journal.org/papers/q-2022-12-29-886/
Solvable model of deep thermalization with distinct design times

Matteo Ippoliti and Wen Wei Ho, Quantum 6, 886 (2022). We study the emergence over time of a universal, uniform distribution of quantum states supported on a finite subsystem, induced by projectively measuring the rest of the system. Dubbed…

Quantum
@QuantaMagazine just published their article on the #PeriodicTilingConjecture, which was recently disproven by Rachel Greenfeld and myself. https://www.quantamagazine.org/nasty-geometry-breaks-decades-old-tiling-conjecture-20221215/
‘Nasty’ Geometry Breaks Decades-Old Tiling Conjecture | Quanta Magazine

Mathematicians predicted that if they imposed enough restrictions on how a shape might tile space, they could force a periodic pattern to emerge. But they were wrong.

Quanta Magazine