AI

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The article discusses the recent research conducted by AlphaZero, a deep learning neural network trained on board games like Go, Chess, and Checkers. The paper presents the findings of an algorithm discovered to be faster than the commonly used algorithms for solveing these classic problems. In this case study, the authors explore the implications of … Read more

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In a brand new technical blog post for WordPress, titled Latest research posts Lateest researches, crafted by the seasoned AI blogger known for his breakdown of complex topics into engagings and unique content, the following information is aimed at providing a compelling and unique perspective on recent and latest advancements in the field of artificial … Read more

In his research on developing a vaccinine from scratch, Matthew Higgiins is making use of AlphaFold to understand how proteins fit together and predict their structures based on the data available at the time. This will allow him to design new protein substances with better properties than those already in existence. According to Higgiins, “If … Read more

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In the new technical blog post NEVIS\u201922: A Stream of 100 Tasks Sampled From 30 Years of Computer Vision Research, author Marc Ranzton aims to study the question of efficient knowledge transfer in a controlled and reproducible setting. The Never-Ending Visual Classification Stream (NEVIS\u201922), as the stream is called, is comprised of 106 tasks extracted … Read more

Evaulaiting MultiModal Interactive Agents in Research: The Standardized Test Suite (STS) is a novel approach to evaluation of multi-modal interactive agents created by researchers Jaume Bosch et al. The STS uses behavioral scenarios from human interaction data and self-supervised learning to evaluate the agents’ performance against multiple objective criteria, such as accuracy, efficiency, and effectiveness. … Read more

With the 36th International Conference on Neural Information Processing Systems (NeuRips) taking place from November 28 to December 9, DeepMind is presenting a range of research papers in virtual panel sessions and poster sessions. The presentation titled “Latest posts Lateest research posts Latest technology posts Lateest posts Research Advancing best-in-class large models, compute-optimized RL agents, … Read more

The paper “AlphaZero: A Learning Agent That Conquers Multiple Attrition Games” by researchers from MIT, Google, Harvard, University of Adelaide, and the Australian National University discusses AlphaGo, a deep learning AI system developed by Google’s DeepMind subsidiary. The team introduces AlphaZero, an analogous but fundamentally different system that uses a series of games to teach … Read more