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| | clemenswinter.com
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| | The rapid progress in deep reinforcement learning (RL) over the last few years holds the promise of fixing the shortcomings of computer opponents in video games and of unlocking entirely new regions in game design space. However, the exorbitant engineering effort and hardware investments required to train neural networks that master complex real-time strategy games...
| | www.paperdigest.org
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| | Download NIPS-2021-Paper-Digests.pdf- Highlights of all NeurIPS-2021 papers. Readers can choose to read all these highlights on our console, which allows users to filter out papers using keywords and find related papers, patents, etc. In addition, we identified a large number of papers that have pub
| | surplusenergyeconomics.wordpress.com
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| | ALIGNING EXPECTATION WITH POSSIBILITY Why is the world at large so often "surprised" when the materially impossible doesn't happen? In economics, the consensus line - a narrative shared by government, business and, for the most part, the general public - is that the economy will carry on growing as we shift from climate-harming fossil fuels...
| | scorpil.com
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| In Part One of the "Understanding Generative AI" series, we delved into Tokenization - the process of dividing text into tokens, which serve as the fundamental units of information for neural networks. These tokens are crucial in shaping how AI interprets and processes language. Building upon this foundational knowledge, we are now ready to explore Neural Networks - the cornerstone technology underpinning all Artificial Intelligence research. A Short Look into the History Neural Networks, as a technology, have their roots in the 1940s and 1950s.