Geometric Algebra Transformers: Revolutionizing Geometric Data
Explore GATr's revolutionary approach to geometric data processing, enhancing computer vision, robotics, chemistry, and physics with efficient 16-dimensional vector space representations and E(3) equivariance.
Mastering Controllable AI - Ensuring Safe Autonomy
Explore innovative norm-based control mechanisms for autonomous systems, focusing on social laws, norms, and sanctions to ensure safe AI behavior and desirable outcomes.
Embracing Exciting Times of Technological Evolution - Insights from LexisNexis Risk Solutions
Explore technological evolution with Flavio Villanustre, covering AI, quantum computing, and big data. Gain insights on innovation, ethical considerations, and future trends in this comprehensive overview.
Meeting Societal Challenges: Scalable Big Data-driven, AI-enabled Approaches
Explore scalable big data-driven, AI-enabled approaches for societal challenges. Learn about innovative solutions in healthcare, agriculture, and smart cities using advanced analytics and deep learning techniques.
Managing Academic Software Development for HPC - Best Practices and Workflows
Learn best practices for sustainable academic software development, including coding, project management, and documentation techniques.
Delivering Impactful Science, Deploying Aurora, and Partnering with ECP at the ALCF
Explore Argonne's role in advancing high-performance computing, deploying Aurora, and collaborating with ECP to drive scientific breakthroughs and exascale computing.
Lessons Learned Developing Performance-Portable QMCPACK
Explore strategies for developing performance-portable scientific applications, focusing on QMCPACK's redesign for GPU and CPU compatibility in materials property prediction.
Siting the El Capitan Exascale Supercomputer at Lawrence Livermore National Laboratory
Explore the impact of El Capitan, LLNL's exascale supercomputer, on nuclear stockpile stewardship, fusion research, and AI. Learn about its software, partnerships, and facility upgrades.
Simplifying Scientific Python Package Installation and Usage in HPC Environments
Simplify scientific Python package installation in HPC environments with a new tool that reduces errors and enables sharing among users.
Taking HACC into the Exascale Era - New Code Capabilities and Challenges
Explore HACC's evolution for exascale systems, new capabilities, and performance optimization in cosmology simulations.
Exascale Computing Project Successes and Lessons Learned
Explore ECP successes and lessons learned, focusing on integration, as presented by Lori Diachin, project director, to the Industry and Agency Council upon completion of technical work.
Exascale Computing Project Applications: Lessons Learned
Explore key insights and lessons learned from Exascale Computing Project applications development with Erik Draeger, deputy director of Application Development.
Exascale Computing Project's Software Technology Accomplishments and Futures - Lecture
Explore Exascale Computing Project's software technology achievements and future directions with Mike Heroux, senior scientist at Sandia National Laboratories.
Cooperative Data-driven Modeling: Addressing Catastrophic Forgetting in Neural Networks
Explore cooperative data-driven modeling techniques to address catastrophic forgetting in deep neural networks for class-incremental learning scenarios.
Legion: Programming Heterogeneous, Distributed Parallel Machines
Explore hierarchical data organization and computation in parallel programming, focusing on Legion's design for complex machine architectures.
Quantum Computing: Developments and Opportunities
Explore quantum computing's current capabilities, applications, and future potential, including hardware advancements and software tools for quantum programmers.
The Exascale Computing Era - Reflections on Progress and Challenges
Explore the dawn of exascale computing, focusing on the Frontier system, its applications, and the challenges overcome in developing exascale-capable software and technologies.
Scalable Inference of Dynamic Graphical Models with Combinatorial Structures
Explore scalable inference techniques for dynamic graphical models with combinatorial structures, focusing on industrial and operations engineering applications.
A Hybrid Quantum-Classical Computing Ecosystem
Explore the integration of quantum and classical computing systems, focusing on their synergistic potential and practical applications in modern technology.
Foundation Models for Enabling Rational Design of Biological Systems - Lecture 3
Explore foundation models for rational design of biological systems with Arvind Ramanathan, advancing understanding in computational biology and system engineering.
Trillion Parameter Foundation Models as Discovery Accelerators - Lecture 10
Explore how advanced AI and foundation models can accelerate scientific discovery, revolutionizing research infrastructure and collaboration.