How Will Quantum Computing Affect Our Everyday Lives in the Future?
Explore the potential impact of quantum computing on daily life with Xanadu's CEO and an Economist editor at Collision 2023.
A Universal Programmable Gaussian Boson Sampler for Drug Discovery
Explore a cutting-edge quantum computing approach for accelerating drug discovery using Gaussian boson sampling, presented by Shang Yu from Imperial College London.
Overview of Machine Learning Approaches at GSK.ai
Explore machine learning approaches at GSK.ai, focusing on innovative techniques and applications in pharmaceutical research and development.
High Performance Computing Workloads on Google Cloud
Explore Google Cloud's HPC solutions for critical workloads, infrastructure advancements, and customer deployments in computational sciences and AI/ML.
How AI Could Transform Human Health - Benefits and Risks
Experts discuss AI's potential to revolutionize healthcare, from drug development to diagnostics, while addressing ethical concerns and governance challenges for responsible implementation.
Next-Gen Lab Informatics - Transforming Development with New LIMS Technologies - Part 2
Explore advanced laboratory management solutions to improve efficiency, streamline workflows, and ensure regulatory compliance in evolving life sciences industry.
Generative AI for Multimodal Biomedicine
Explore groundbreaking developments in multimodal biomedical AI, covering advanced foundation models for pathology imaging, retinal analysis, and integrated biomedical imaging across multiple modalities.
Unleashing the Power of Quantum Computing - Theory and Practical Applications
Explore quantum computing fundamentals, algorithms, applications, and future prospects. Gain insights into hardware, software, and practical implementations of this revolutionary technology.
Structure-Aware Protein Self-Supervised Learning
Explore structure-aware protein self-supervised learning, combining GNN models with protein language models to enhance structural information capture for improved downstream task performance.
AI-Assisted Automated Chemical Synthesis Planning and Execution
Explore AI-driven chemical synthesis planning integrated with robotic automation, streamlining complex molecule production for drug development and materials science.
AI-Aided Design of Novel Inhibitors Against SARS-CoV-2
Explore AI-driven drug design for SARS-CoV-2, focusing on 3CLpro inhibitors. Learn about deep Q-learning networks, fragment-based design, and structure-based optimization for developing potential lead compounds.
Cancer Drug Discovery AI Agentic Workflow R&D
Explore AI agentic workflows for cancer drug discovery, leveraging advanced automation techniques to enhance compound lead generation and streamline the R&D process.
Speed-ups for State-of-the-Art Generative AI Drug Discovery Applications
Explore cutting-edge generative AI techniques for drug discovery, including VAEs, Hugging Face pipelines, and LLM comparisons. Learn to accelerate inference times using C++ and cloud platforms.
Empowering Health Providers with Predictive Analytics - AI in Healthcare and Drug Discovery
Explore AI's transformative impact on healthcare and drug discovery with Kira Radinsky. Learn about predictive analytics, bold forecasting, and rapid learning feedback loops in medicine and chemistry.
Enabling Faster Therapeutic Antibody Discovery Through AI/ML-Wet Lab Integration
Explore AI/ML-guided antibody design for faster, more effective therapeutic discovery using an integrated platform that combines high-speed wet lab with advanced automation.
New Frontiers for AI-assisted Design and Discovery in Molecular Generation
Explore AI-assisted design for generating molecules with desired properties. Learn about overcoming challenges in combinatorial search, modeling interactions, and segregating representations for improved drug and material discovery.
New Frontiers for AI-assisted Design and Discovery in Molecular Generation
Explore AI-assisted design and discovery for generating molecules with desirable properties. Learn about overcoming challenges in combinatorial space, modeling interactions, and segregating representations for improved drug and material development.
Using Lakehouse for Life-Changing Outcomes in Manufacturing and Life Sciences
Explore how Lifeblood leverages data engineering, IoT, and manufacturing to innovate in clinical blood component processing, featuring scalable solutions, real-time insights, and data governance strategies.
GLP-1 Agonists - Wonder Drugs of the 21st Century?
Explore the potential of GLP-1 agonists in treating diabetes, obesity, and beyond. Discuss their mechanisms, future applications, and accessibility challenges in this cutting-edge medical field.
Drug Development in Oncology - Opportunities, Challenges and Mechanistic Modeling - Lecture 1
Explore opportunities and challenges in oncology drug development, focusing on mechanistic approaches to enhance treatment efficacy and overcome resistance in cancer therapy.
Drug Development in Oncology - Opportunities, Challenges and Mechanistic Modeling - Lecture 2
Explore opportunities and challenges in oncology drug development, focusing on mechanistic modeling approaches to enhance treatment strategies and overcome resistance.