Verseon is an AI-powered drug company – in theory, anyway. The Bay Area startup does use machine learning to help predict which combination of molecules will yield novel compound to test in the lab. With over a dozen drug candidates at different stages of development, Verseon’s approach seems to be working. So when the company’s […]
Qubits are the building blocks of quantum computers, which have the potential to revolutionize many fields of research by solving problems that classical computers can’t. But creating qubits that have the perfect quality necessary for quantum computing can be challenging. Source: Meredith Fore, Chicago Quantum Exchange The post Cross-Institutional Collaboration Leads to New Control over […]
When two metal surfaces slide against each other, a variety of complicated phenomena occur that lead to friction and wear: Small crystalline regions, of which metals are typically composed, can be deformed, twisted or broken, or even fuse together. It is important for industry to understand such effects. After all, wear can destroy machinery and […]
How can manufacturers apply lessons learned from the dawn of the “Exascale Era” to Computer-Aided Engineering to achieve results like never before? Join Addison Snell, CEO, Intersect360 Research, Bill Mannel, VP, High Performance Computing, HPE and Kumaran Siva, Corporate VP, Software & Systems Business Development, Server Business Unit, AMD, to find out. The post Leveraging Exascale Era Technology […]
Using big data analytics and predictive analytics through deep learning (DL) are essential strategies to make smarter, more informed decisions and provide competitive advantages for your organization. But these tactics are not simple to execute, and they require a properly designed hardware infrastructure. The post Overcoming Challenges to Big Data Analytics Workloads with Well-Designed Infrastructure […]
Amedeo Perazzo has a guarantee for researchers who want to see a movie of molecular behavior: You can have data in 10 minutes. Source: Lawrence Bernard, ECP The post ECP Application Will Deliver ‘Molecular Movies’ in Minutes appeared first on HPCwire.
A team at Los Alamos National Laboratory has developed a novel approach for comparing neural networks that looks within the “black box” of artificial intelligence to help researchers understand neural network behavior. Neural networks recognize patterns in datasets; they are used everywhere in society, in applications such as virtual assistants, facial recognition systems and self-driving […]
The use of artificial intelligence/machine learning (AI/ML) methods to analyze health information brings great promise for learning about disease but also great risk to patient privacy. New natural language processing deep learning model training methods developed by an Exascale Computing Project–funded team will help secure private textual information used for health care, homeland security, biomedical […]
Quantum computers hold enormous promise in our big data world. If researchers can harness their potential, these devices could perform massively complex computations at lightning speed. Source: Alla Katsnelson, Okinawa Institute of Science and Technology The post Researchers Propose New Quantum Error Correction Technique appeared first on HPCwire.
Visualization and analysis on any high-performance computing system faces a last-mile problem in which the potential of the resource can only be realized when people have the tools to examine and interpret the data created on them. The data and visualization portfolio in the US Department of Energy’s Exascale Computing Project (ECP) recognizes that storage […]
