Jeroen Van Goey @BioGeek

Staff Research Engineer in BioAI at @InstaDeepAI (part of @BioNTech_Group) ML for de novo peptide sequencing. https://t.co/KOjeWuazsk jeroen.vangoey.be Cape Town (🇧🇪➡️🇿🇦) Joined October 2006

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omri_drory @omri_drory

3 days ago

When @sama or Jensen Huang talk about AI’s amazing future, they’re not talking about chatbots. They’re talking about biology.

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Over the past week, @arcinstitute published three new discoveries that I’m very proud of. • The world's first functional AI-generated genomes. Using Evo 2 (the largest biology ML model ever trained, which Arc released in partnership with @nvidia in February), Arc scientists…

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InstaDeep @instadeepai

2 weeks ago

Some of the greatest ideas💡start with solving a problem. For Alex Graves, Bayesian Flow Networks represented a new way to model complex data that wasn’t restricted to order. Learn more in Episode 1 of Let’s Talk Research, below: 🧵

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Deep Learning Indaba @DeepIndaba

2 weeks ago

Up next in our Online Learnathon series: Reinforcement Learning in action! 🔥 📌 Session Title: Train an AI Agent to Play Snake using Policy-Based Reinforcement Learning — Part 2 📖 Speakers: @ruanjohn , Sasha Abramowitz, Siddarth Singh, @ArnolFokam , @RefiloeShabe , and Matthew…

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actu ing @ActuIng2024

6 months ago

nature.com/articles/s4225… . InstaNovo enables diffusion-powered de novo peptide sequencing in large-scale proteomics experiments . ' researchers reported this week that an AI known as InstaNova can identify pathogenic proteins in wounds and xxx ' science.org/content/articl… .

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AI in Science @ai_inscience

6 months ago

Check out the full paper "InstaNovo enables diffusion-powered de novo peptide sequencing in large-scale proteomics experiments" by Eloff et al. in Nature Machine Intelligence (DOI: 10.1038/s42256-025-01019-5).

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BioTechniques @MyBioTechniques

6 months ago

Researchers have developed two novel AI models that can more precisely identify peptides from mass spectrometry data >>> hubs.ly/Q03gYsdd0

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Paul Lopez @lopezunwired

5 months ago

InstaNovo enables diffusion-powered de novo peptide sequencing in large-scale proteomics experiments dlvr.it/TKVJ2x #MachineLearning #NatureJournal #AI

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Wanyu Lin @Wanyu1208

5 months ago

Our paper “Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing”, “HPS: Hard Preference Sampling for Human Preference Alignment”,”Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration” were accepted by ICML25

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bioRxiv Bioinfo @biorxiv_bioinfo

4 months ago

InstaNovo-P: A de novo peptide sequencing model for phosphoproteomics biorxiv.org/content/10.110… #biorxiv_bioinfo

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Computational Engineering, Finance, and Science @BNHNA

4 months ago

Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing. arxiv.org/abs/2505.17524

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Biomolecules @Pastel

2 months ago

Disentangling the Complex Multiplexed DIA Spectra in De Novo Peptide Sequencing. arxiv.org/abs/2411.15684

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Biology+AI Daily @BiologyAIDaily

3 months ago

MassNet: billion-scale AI-friendly mass spectral corpus enables robust de novo peptide sequencing １．MassNet introduces the largest AI-ready mass spectrometry dataset to date, containing 1.54 billion MS/MS spectra and 558 million PSMs across 35 species, including human, mouse,…

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InstaDeep @instadeepai

3 weeks ago

Senior Staff Research Scientist, Alex Graves, re-introduces Bayesian Flow Networks in his first-ever blog for InstaDeep, taking us behind the scenes of their origin story and applications for biology. 🧵

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bioRxiv Bioinfo @biorxiv_bioinfo

a month ago

Limitations of de novo sequencing in resolving sequence ambiguity biorxiv.org/content/10.110… #biorxiv_bioinfo

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Jack Cole @MindsAI_Jack

a month ago

Great writeup by Dr. Dries Smit about his winning approach to the ARC 3 Preview competition. @DriesSmit1 @arcprize medium.com/@dries.epos/1s…

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Deep Learning Indaba @DeepIndaba

a month ago

Another important session at #DLI2025. The Women in Machine Learning (WIML) event was dedicated to an open discussion on the challenges women face in the field, and to exploring potential solutions. The conversation continued at the community social, where connections were…

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Deep Learning Indaba @DeepIndaba

a month ago

🚀 We’re excited to unveil the first lineup of technical tutorials and practicals at #DLI2025! These sessions go beyond training—they reflect our mission of building AI in Africa, “Urunana” (hand in hand). Attendees will gain hands-on experience, exploring advanced topics:…

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InstaDeep @instadeepai

2 months ago

Africa’s forests hold climate power - but we need better ways to track them.🛰️🌳 At #DLI2025, the Hack the Carbon challenge invites Geospatial ML builders to map and monitor forest biomass using satellite & ground data. 📊 Let’s turn raw satellite data into real climate tools.

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Dr. Catharine Young @DrCatharineY

2 months ago

mRNA technology didn’t appear overnight. it is the result of DECADES of research - now driving some of the most promising advances in cancer, HIV, and rare disease. It is precise, fast, and adaptable - and yes - revolutionary. And it is now very much being dismantled.