Praveer Singh
@praveersingh90
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Assistant Professor @CUMedicalSchool | @CUEyeCenter @CUAnschutz | Honorary Researcher: @Moorfields Past: @harvardmed @MGHImaging @MGHMartinos
Colorado, USA
Joined August 2013
You should be so lucky to have people throughout your research career that you can openly bounce ideas to and from - especially if they complement your strengths in your areas of weakness - it is a rare and precious gift.
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Women shouldn’t require superpowers to juggle breastfeeding and work. All moms everywhere, no matter their work or contract type, should have: 🧸 At least 18 weeks, preferably 6 months or more, of paid maternity leave 🧸 Paid time off for breastfeeding or expressing milk upon
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Super excited to share 🧠MLGym 🦾 – the first Gym environment for AI Research Agents 🤖🔬 We introduce MLGym and MLGym-Bench, a new framework and benchmark for evaluating and developing LLM agents on AI research tasks. The key contributions of our work are: 🕹️ Enables the
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I'd like to live in a world where all countries & organizations, big or small, can train their own AI, instead of just a few of the richest & biggest ones. This is IMO one of the most important topics ever and will shape the future of the world. That's why I'm super proud when
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We are releasing OpenThinker-32B, the best 32B reasoning model with open data. We match or outperform Deepseek-R1-32B (a closed data model) in reasoning benchmarks. Congrats to Negin and the whole Open Thoughts team.
Announcing OpenThinker-32B: the best open-data reasoning model distilled from DeepSeek-R1. Our results show that large, carefully curated datasets with verified R1 annotations produce SoTA reasoning models. Our 32B model outperforms all 32B models including
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Full policy announcement here: https://t.co/McE4oyfu1d
The NIH reduces its maximum indirect rate for research from 60% to 15% with immediate effect.
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Wow this is big news !!!
Last year, $9B of the $35B that the National Institutes of Health (NIH) granted for research was used for administrative overhead, what is known as “indirect costs.” Today, NIH lowered the maximum indirect cost rate research institutions can charge the government to 15%, above
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Can your electrocardiogram be used to assess biological age? A new study suggests with A.I. it can be used to help predict age-related diseases, including not just cardiovascular, but also Alzheimer's and cancer https://t.co/6zTYXtEhTb open-access
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I took a brief look at the Harmonic Loss paper tl;dr: instead of dot-product with softmax, do euclid dist with normalized 1/d**n. I kinda want this to work. I've dabbled with preferring euclid many times throughout my career (eg triplet loss etc) However...
1/9 🚨 New Paper Alert: Cross-Entropy Loss is NOT What You Need! 🚨 We introduce harmonic loss as alternative to the standard CE loss for training neural networks and LLMs! Harmonic loss achieves 🛠️significantly better interpretability, ⚡faster convergence, and ⏳less grokking!
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We release today the next step for distributed training: --> Streaming DiLoCo with Overlapping Communication. TL;DR: train data-parallel across the world with low-bandwidth for the same performance: 400x less bits exchanged & huge latency tolerance
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100% agreed. Also reinvigorate academic research in building resource contrained models !!!
False! Because it's open-source, fast and cheap, it will help create thousands of silicon valley startups, hundreds of thousands of jobs, massively step up competition and create hundreds of billions of value for silicon valley. IMO more positively impactful than any and all
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Infact this can be managed by @NIH's Office of Science Policy. This will ensure zero publication costs to PI's, open access of public tax-funded research, regulated code & data sharing & most importantly happy reviewers (can also incentivize them through reviewer index metric).
I think the NIH/NCI should create its own FREE open access journal and 1) Publish all NIH funded research 2) Pay reviewers ($ or some sort of credit system) Better quality reviews, research transparency (& less profit for publishing companies/predatory journals).
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We are announcing Open Thoughts, our large-scale open-source effort to curate the best open reasoning datasets! DeepSeek-R1 is amazing but we still don't have access to high-quality open reasoning datasets. These datasets are crucial if you want to build your reasoning models!
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cursor users pressing "accept all changes" until the bug goes away
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Validation of “EyeLiner” a deep learning pipeline to longitudinally evaluate and align color fundus photos, on 3 existing datasets. @AdvaithVeturi @kalpathy1 @praveersingh90
https://t.co/2fcQxBpfQZ
#ophthalmology
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Mary Labowsky, MD, assistant professor of ophthalmology, explains recent research that has shown that diabetic patients taking #Ozempic are at a higher risk of NAION and if patients should be worried. https://t.co/PmZpeFwjco
news.cuanschutz.edu
Recent research shows that some diabetic patients have experienced NAION while taking weight loss drugs like Ozempic. Neuro-ophthalmologist Mary Labowsky, MD, explains the association and what...
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Happy New Year from the Sue Anschutz-Rodgers Eye Center! Wishing you a prosperous 2025. Check out what we're looking forward to this year.
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A new @CUEyeCenter research study has found that when Denver air quality is poor, visits to the Sue Anschutz-Rodgers Eye Center double. Authors @MalikKahook, MD, and Jennifer Patnaik, PhD, discuss the study at the link below. https://t.co/l9sJ1yRt64
#ClimateChange #Ophthalmology
news.cuanschutz.edu
Ophthalmology researchers at the University of Colorado School of Medicine find that ocular surface irritation and allergy visits more than doubled along with higher concentrations of some pollutants.
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Tune in to the @MIDRC_ seminar on Oct. 15 to hear from @praveersingh90 about AI in medical imaging. Register here: https://t.co/HdJAE4xVge
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