We're giving away $2,000 in credits to every company and $100 in credits to every academic to try our new BoltzMol-1 and BoltzProt-1 pipelines via the new Boltz API.
I'm incredibly proud of our team for shipping BoltzMol, BoltzProt, and our new API. Both models delivered experimentally validated hits for over 50% of the targets we tested. They're also an architectural step change: no longer a single neural network run end-to-end, but
Big news from Boltz - our biggest update yet! 🚀
Today we’re releasing two new state-of-the-art models for protein and small molecule design with extensive wet lab validation and a new API to run all of our models on scalable GPUs wherever you (or your agents) work! 🔥
Thanks for organizing such an inspiring event! Great to connect with the immunology community and explore deep learning applications. The code of our work FrameDiPT for #TCR can be found at github.com/instadeepai/Fr…!
Honoured to be invited! 💟I will present "A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models" melba-journal.org/papers/2023:01… (code at github.com/mathpluscode/I…). Looking forward to discuss more about generative models at the panel discussion!
Thanks for sharing! ❤️ In AI, managers often engage in technical discussions. They might see themselves as contributing members, but their suggestions can be perceived as orders. We need to clarify discussions vs decisions and encourage open dialogue and idea challenges.
I loved this podcast with @elonmusk. He’s just about right.
I especially liked his comment about micromanagement. I too have been told this, but I feel micromanagement is often confused with paying attention to engineering detail. In AI and tech, VPs should be able to sit with
