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GPT-3 Creative Fiction

#artificialintelligence

What if I told a story here, how would that story start?" Thus, the summarization prompt: "My second grader asked me what this passage means: …" When a given prompt isn't working and GPT-3 keeps pivoting into other modes of completion, that may mean that one hasn't constrained it enough by imitating a correct output, and one needs to go further; writing the first few words or sentence of the target output may be necessary.


Lincoln Laboratory's new artificial intelligence supercomputer is the most powerful at a university

#artificialintelligence

The new TX-GAIA (Green AI Accelerator) computing system at the Lincoln Laboratory Supercomputing Center (LLSC) has been ranked as the most powerful artificial intelligence supercomputer at any university in the world. The ranking comes from TOP500, which publishes a list of the top supercomputers in various categories biannually. The system, which was built by Hewlett Packard Enterprise, combines traditional high-performance computing hardware -- nearly 900 Intel processors -- with hardware optimized for AI applications -- 900 Nvidia graphics processing unit (GPU) accelerators. "We are thrilled by the opportunity to enable researchers across Lincoln and MIT to achieve incredible scientific and engineering breakthroughs," says Jeremy Kepner, a Lincoln Laboratory fellow who heads the LLSC. "TX-GAIA will play a large role in supporting AI, physical simulation, and data analysis across all laboratory missions."


Pentagon sees quantum computing as key weapon for war in space

FOX News

Top Pentagon official Michael Griffin sat down a few weeks ago with Air Force scientists at Wright Patterson Air Force Base in Ohio to discuss the future of quantum computing in the U.S. military. Griffin, the undersecretary of defense for research and engineering, has listed quantum computers and related applications among the Pentagon's must-do R&D investments. Quantum computing is one area where the Pentagon worries that it is playing catchup while China continues to leap ahead. The technology is being developed for many civilian applications, and the military sees it as potentially game-changing for information and space warfare. The U.S. Air Force particularly is focused on what is known as quantum information science.


Pentagon sees quantum computing as key weapon for war in space - SpaceNews.com

#artificialintelligence

Top Pentagon official Michael Griffin sat down a few weeks ago with Air Force scientists at Wright Patterson Air Force Base in Ohio to discuss the future of quantum computing in the U.S. military. Griffin, the undersecretary of defense for research and engineering, has listed quantum computers and related applications among the Pentagon's must-do R&D investments. Quantum computing is one area where the Pentagon worries that it is playing catchup while China continues to leap ahead. The technology is being developed for many civilian applications and the military sees it as potentially game-changing for information and space warfare. The U.S. Air Force particularly is focused on on what is known as quantum information science.


DARPA digs into the details of practical quantum computing -- GCN

#artificialintelligence

Quantum computing promises enough computational power to solve problems far beyond the capabilities of the fastest digital computers, so the Defense Advanced Research Projects Agency is laying the groundwork for applying the technology to real-world problems. In a request for information, DARPA is asking how quantum computing can enable new capabilities when it comes to solving science and technology problems, such as understanding complex physical systems, optimizing artificial intelligence and machine learning and enhancing distributed sensing. Noting that it is not interested in solving cryptology issues, DARPA is asking the research community to help solve challenges of scale, environmental interactions, connectivity and memory and suggest "hard" science and technology problems the technology could be leveraged to solve. Establishing the fundamental limits of quantum computing in terms of how problems should be framed, when a model's scale requires a quantum-based solution, how to manage connectivity and errors, the size of potential speed gains and the ability to break large problems into smaller pieces that can map to several quantum platforms. Improving machine learning by leveraging a hybrid quantum/classical computing approach to decrease the time required to train machine learning models.



Alternatives to Kaggle/Other sites for machine learning & competitions?

#artificialintelligence

On the other hand I noticed an increase in image processing competitions, where a decent graphic card/GPU-Power is required, and also a big increase in the data set size. This limits the participation possibility due to the need of a decent graphic card/GPU-Power and highspeed network. This means new investment in further compute ressources. Based on the current changes in the progression system, the privacy (activity tracker) and discussion I am wondering. Are there other sites for machine learning available?