Leaner, Greener and Faster PyTorch Inference with Quantization
Explore PyTorch quantization techniques to optimize neural networks, reducing size and improving speed without sacrificing accuracy. Learn implementation strategies and real-world applications.
Deploying Efficient Data-Centric AI 100x Faster
Accelerate AI application development and deployment 100x using dedicated platforms, data labeling, pre-built models, and iterative design. Explore region classification and deep-trained object detection approaches.
Next-Gen AI Processors and Why We Need to Think Differently About Software 2.0
Explore next-gen AI processors, computational challenges in machine learning, and innovative approaches to efficient processing beyond traditional GPU solutions.
MLOps vs ModelOps - Differences, Importance, and Best Practices
Explore the differences between MLOps and ModelOps, focusing on continuous monitoring, automated remediation, and feedback loops for AI and analytical models in enterprise settings.
Taking Aim at Bias in AI - Workshop Sessions
Explore strategies to identify and mitigate bias in AI systems, enhancing fairness and ethical decision-making in machine learning applications.
Security Audits for Machine Learning Attacks
Explore common machine learning security attacks and learn effective remediation strategies to protect your models from harmful outcomes and data exposure. Enhance your organization's security practices.
SLO Error Budget Burn Rate Based Alerting - Tips and Tricks
Learn to implement SLO error budget burn rate alerting with Dynatrace. Master defining SLOs, setting up error budget-based alerts, and reacting faster to business-impacting issues.
Introduction to Anomaly Detection Based on DQL
Explore Dynatrace's Davis AI Analyzer for advanced anomaly detection in high-cardinality data. Learn to reduce alert noise, avoid fatigue, and leverage AI across various contexts through a comprehensive demo.
Diffusion Models Towards High-Dimensional Generative Optimization
Explore diffusion models for high-dimensional generative optimization in AI, focusing on biomedical applications and machine learning advancements.
From Theory to Therapy: Advancing Clinical Care with AI Innovations
Explore AI innovations advancing clinical care, from theoretical foundations to practical therapeutic applications in biomedical research and healthcare.
Machine Learning in the Optimization and Discovery Loop
Explore machine learning's role in optimization and discovery with Andreas Krause. Gain insights into biomedical applications and foundational ML advances in this joint colloquium series.
Protein Design with Generative Diffusion Models
Explore generative diffusion models for protein design, covering theoretical foundations and applications in sequence and structure generation for optimized engineering and biological insights.
AI-Driven Drug Design: Optimizing Pharmacokinetics and ADME
Explore AI-driven drug design techniques for optimizing pharmacokinetics and ADME with Novartis Principal Scientist Raquel Rodríguez Pérez at the Broad Institute symposium.
Programmable Generative Protein Design - Machine Learning in Drug Discovery
Explore programmable generative protein design with Gevorg Grigoryan, CTO of Generate Biomedicines, in this symposium talk on machine learning in drug discovery.
Automating Design of Molecules via Retrieval Augmented Generative Language Models - Broad Institute Machine Learning in Drug Discovery Symposium 2023
Explore automated molecule design using retrieval-augmented generative language models in drug discovery, presented by Andrew White from the University of Rochester.
Interpretable Machine Learning for Model Oversight and Insight
Explore interpretable machine learning techniques for model oversight and gaining valuable insights with Finale Doshi-Velez in this colloquium on AI applications in biomedicine.
AI in Drug Discovery: What Do We Need for Being Successful?
Explore AI's role in drug discovery with Sanofi-Aventis scientist Christoph Grebner, discussing key success factors and industry insights.
Decoding Biology with Data Abundance - Machine Learning in Drug Discovery
Explore data-driven approaches to decode biology and revolutionize drug discovery with insights from Recursion's AI and Digital Sciences expert.
Machine Learning for Discovery of Translatable Targets and Biomarkers - Keynote
Explore machine learning applications in drug discovery with Daphne Koller's keynote on translatable targets and biomarkers at the Broad Institute Symposium.
Harnessing AI for Drug Discovery: From Property Prediction to Molecular Design
Explore AI's role in drug discovery, from property prediction to molecular design, with Pfizer's Head of Machine Learning Research.
PROTPARDELLE: An All-Atom Protein Generative Model - Broad Institute Machine Learning in Drug Discovery Symposium 2023
Explore PROTPARDELLE, an all-atom protein generative model, presented by Stanford's Possu Huang at the Broad Institute's Machine Learning in Drug Discovery Symposium.