https://www.all-ai.de/news/news26/nvidia-lilly-1milliarde
AI Transforms Scientific Discovery: How AlphaFold and AI Co-Scientist Are Reshaping Research
https://techlife.blog/posts/ai-transforms-scientific-discovery-alphafold-ai-co-scientist/
#AlphaFold #Google #DeepMind #ScientificDiscovery #ProteinStructure #Gemini #NobelPrize #AIResearch #AlphaEvolve #BioNeMo #AI
From solving the 50-year protein folding problem to generating research hypotheses in hours, AI tools like AlphaFold and Google's AI Co-Scientist are compressing discovery timelines from years to days
New update: PyTorch and NVIDIA’s BioNeMo now support attn_input_format, unlocking faster flash‑attention scaling for models like ESM3. The change adds cu_seq_lens_q handling and integrates with Hugging Face and Transformer Engine, boosting open‑source LLM performance. Dive into the details to see how this impacts your next project. #PyTorch #NVIDIA #flashattention #BioNeMo
🔗 https://aidailypost.com/news/pytorch-nvidia-bionemo-add-attninputformat-flashattention-scaling
NVIDIA BioNeMo – Generative KI revolutioniert die Arzneimittelforschung mit neuem Foundationmodell für bessere Medizin
#KuenstlicheIntelligenz #artificialintelligence #Arzneimittelforschung #DrugDiscovery #BioNeMo #NVIDIA #GenerativeKI #AI #KI
My team at #NVIDIA is hiring for multiple life sciences applied deep learning scientists. Help us build #BioNeMo!
- Protein Structure & Design https://link.mlgill.co/nvidia-protein-structure-design
- Cheminformatics & Virtual Screening https://link.mlgill.co/nvidia-cheminformatics-virtual-screening
- Geometric Deep Learning https://link.mlgill.co/nvidia-geometric-deep-learning
NVIDIA is using the power of high performance computing and AI to accelerate digital biology. We are seeking passionate and hardworking individuals to help us realize our mission. As an Applied Deep Learning Scientist, Protein Structure & Design, you will join a research and development team focused on infrastructure development and collaborations with industry and academic partners. This position provides the opportunity to research, implement, productize, and deliver deep learning algorithms for applications to life sciences and drug discovery. The team engages in applied research and then helps productize this work. What you will be doing: Prototype and build deep learning algorithms for protein structure prediction and design Design metrics for and assist with the evaluation of model predictions and results Know the latest research and identify ways to capitalize on new advancements, either as applied research projects or by directly integrating into product development Collaborate with multiple AI infrastructure and research teams Find opportunities to incorporate advances in the field and other NVIDIA products into our infrastructure What we need to see: 5+ years of relevant experience Completed a MS or PhD Degree in a quantitative field such as Statistics, Physics, Computational Biology, Computer Science, Mathematics (or a related field), or equivalent experience Expertise in deep learning and machine learning Expertise in protein design, structural proteomics, and processing of biochemical data Strong experience with Python libraries for data science analysis (e.g. NumPy, Pandas, Matplotlib) and deep learning (PyTorch or TensorFlow) Experience with modeling and validation of protein sequences and/or protein structures and related tools, such as biopython, mmseqs2, jackhmmer, PyMol Recognition for technical leadership contributions, capable of self-direction, and willingness to learn from and teach others You should display strong communication skills, be organized and self-motivated, and play well with others (be a phenomenal teammate) Ways to stand out from the crowd: Experience with open source development C/C++, CUDA, docker Experience with diffusion models and/or transformer-based NLP models Relevant publication history and/or conference attendance The base salary range is $156,000 - $287,500. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.
This has the potential to be life-changing. Literally.
BioNeMo is a new #AI foundation service empowering many more researchers and smaller companies to leverage AI for novel drug discovery and more. The next life saving medicine might be found with it.
https://nvidia.com/en-us/gpu-cloud/bionemo
#deeplearning #lifesciences #healthcare #nvidia #nemo #bionemo #drugdiscovery #medicine #gtc23 #gtc2023