Let's Talk Research

In the Season 1 Finale of Let’s Talk Research, we sit down with Liviu Copoiu and Antoine Delaunay, who were part of the team that put InstaDeep 1st and 2nd overall in Adaptyv's Nipah Protein Design Competition, to break down protein design in practice.
We unpack what de novo generation really involves, what it takes to apply these methods, and why human expertise remains essential for leading in this space.
👀 Watch on YouTube → https://bit.ly/4oIruKv
🧑‍🔬 Protein Sequence Modelling with BFNs → https://bit.ly/4ovKagq

🎙️ We sit down with Silvia Acosta Gutierrez, Staff Research Scientist, and Leon Wehrhan, Applied Research Scientist at InstaDeep, to discuss MLIPAudit, our open, modular benchmarking suite for Machine Learning Interatomic Potentials.
MLIPs deliver near-quantum accuracy at classical speeds, but with a rapidly growing landscape of models, consistent evaluation has become increasingly difficult. Join us as we unpack what MLIPAudit tests, what it reveals, and why it matters for molecular discovery and biomolecular simulation. 
⚛️ Explore MLPAudit → https://bit.ly/49hzN9R
👀 Watch on YouTube → https://bit.ly/4u3fgxX
📝 Read the paper https://bit.ly/4ouaV3q
⏱️ See the MLIPAudit leaderboard: https://bit.ly/485d7JH
🧱 Available on PyPI: pip install mlipaudit: https://bit.ly/4p3GZMA

🎙️ We sit down with Marie Lopez, Genomics Lead at InstaDeep, to discuss the practical applications of our Nucleotide Transformer family of models. 
Join us as we learn how InstaDeep are supporting our partners in Precision Agriculture to tackle some of the complex challenges facing food security through our Nucleotide Transformer family of models. 
🔍 Discover NT Family→ https://bit.ly/4tdKNg1
🧬 Access Deepchain → https://bit.ly/4tWcMRD
👀 Watch on YouTube → https://bit.ly/3OlMtVQ

🎙️ In this episode of Let’s Talk Research, we chat with Bernardo Almeida, Head of Genomics AI Research at InstaDeep, and discuss NTv3, the third generation of the Nucleotide Transformer.
Join us as we explore the vision behind this unified AI framework that brings together:
• long-range genomic context (up to 1 Mb)• single-nucleotide resolution predictions• DNA sequence design
and learn how NTv3’s U-Net style architecture works to make this precision possible at scale  across 1 million sequences by wrapping a transformer backbone between convolutional and deconvolutional towers.
🔍 Discover NTv3 → https://bit.ly/4uFWiyj
🧬 See the code → https://bit.ly/4lpOc8v
📖 Read our blog → https://bit.ly/4uFWiyj
👀 Watch on YouTube → https://bit.ly/40rCOiV

Title: Episode 6: Scaling AI Research
🎙️ In the sixth episode of Let’s Talk Research, we sit down with Adrien Pichard and Armand Picard to discuss how internal infrastructure and software support scalable AI research, enabling sustainable energy solutions and work across domains, from biological sequence generation to deep learning experiments.

🔍 Discover AIChor → https://bit.ly/4bQOpPw
 👀 Watch on YouTube → https://bit.ly/4acn8FU