Computer Engineering News:
- Moderna’s COVID-19 Vaccine Candidate Meets its Primary Efficacy Endpoint in the First Interim Analysis of the Phase 3 COVE Study
- Introducing the Next Generation of Mac: A new MacBook Air, 13-inch MacBook Pro, and Mac mini powered by M1, Apple’s breakthrough chip for the Mac
- Media Coding Industry Forum Welcomes the Completion of the Versatile Video Coding Standard
- Quantum Machines Announces QUA as First Standard Universal Language for Quantum Computers
- Preparing for the Jobs of the Future: The Coding School and MIT Physicists Are Making Quantum Computing Accessible to High School Students This Summer
- Cloudinary Launches Enhanced WordPress Plugin, Named a WordPress VIP Technology Partner
- SAP Offers a New Digital Learning Initiative to All
- IARPA Funds Team Involving DNA Script, the Broad Institute, and Harvard University for DNA Data Storage R&D
- TCI Deploys Industry’s First AI-Powered Natural Language Rules Engine
- A Majority of the Global Workforce Is Ready to Shift Jobs and Develop Skills in Response to Globalization and Technology Changes
- Samsung Introduces its First 5G-Integrated Mobile Processor, the Exynos 980: For advanced photography the Exynos 980 delivers compelling camera performances with resolution support for up to 108-megapixels
- Intel Expands Workload Acceleration with Hewlett Packard Enterprise in New Programmable Acceleration Card
- Raytheon develops virtual software factory: New facilities and tools will speed development of military software
- Computer Graphics Community Arrives in Los Angeles, Reports Record Numbers at SIGGRAPH 2019: Week-long Conference Also Honors ‘Best of’ Industry With Premier Awards
- Intel’s Pohoiki Beach, a 64-Chip Neuromorphic System, Delivers Breakthrough Results in Research Tests
- Intel Capital Announces $117 Million of New Investments in 14 Disruptive Tech Startups
- Apple Announces New Today at Apple Sessions
- Kite Raises $17M in Funding, Launches Next Frontier in Smart Developer Tools, and Brings AI Power to User’s Local Machine
- BIRD – Israel-U.S. Binational Industrial R&D Foundation to Invest $7.3 Million in 8 New Projects involving innovations in the areas of Agrotechnology, Energy, Edtech, Digital Health, Medical Devices, Homeland Security and others
- Japanese Innovative Startups to be Showcased at CES 2019
Computer Engineering 2020
The Catalysts for Today’s IT Innovation
The Computer Engineering 2020 conference will bring together experts in mathematical modelling, numerical analysis, numerical software engineering, and statistics, along with scientists from a variety of key applications to assess our current ability to quantify uncertainty in modelling and simulation, to raise awareness of this issue within the numerical software community, and to help envision a research agenda to address this critical need. Conference topics will include: (a) Numerical software verification, (b) Validation metrics and comparison with physical experiment, and (c) Uncertainty estimation for predictive modelling and simulation. In addition, case studies from representative application areas, such as electromagnetics, mechanical engineering, and nuclear power plant control, will be presented.
Computing has become an indispensable component of modern science and engineering research. As has been repeatedly observed and documented, processing speed measured in floating point operations per second has experienced exponential growth for several decades. These hardware efficiencies have been accompanied by innovations in mathematical algorithms, numerical software, and programming tools. The result is that, by any measure, the modern computer is many orders of magnitude more powerful than its early predecessors, capable of simulating physical problems of unprecedented complexity.
Given the success of scientific computation as a research tool, it is natural that scientists, engineers, and policy makers strive to harness this immense potential by using computational models for critical decision-making. Increasingly, computers are being used to supplement experiments, to prototype engineering systems, or to predict the safety and reliability of high-consequence systems. Such use inevitably leads one to question “How good are these simulations? Would you bet your life on them?” Unfortunately, most computational scientists today are ill equipped to address such important questions with the same scientific rigor that is routine in experimental science.
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