An oldie, but still relevant. Published by Stanford University as part of its 100 year study. The good: current AI research trends by select domains + general life in cities. The bad: it misses out on many other areas ripe for AI.
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Artificial intelligence is evolving—literally. Researchers have borrowed concepts from Darwinian evolution, including “survival of the fittest,” to build AI programs that improve generation after generation without human input.
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Three Risks in Machine Learning. Building ML systems can be complicated and challenging, however, especially since best practices in the nascent field of AI engineering are still coalescing.
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Covid-19 forcing digital transformation, There’s an image floating around LinkedIn and Twitter asking people what inspired their digital transformation. Was it 1. CEO 2. CTO or 3. Covid-19? Is Covid-19 forcing digital transformation?
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MIT social distancing picture, AI system to predict the spread of COVID-19, relaxing social distancing rules too early would be catastrophic.
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AI deals in pandemic, AI startups outpace s the venture capital market in the first quarter of 2020, but the coronavirus pandemic is expected to have a severe impact.
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AI role playing challenge: some artificial intelligence experts think role playing adventure games will help machines learn to be as clever as we are.
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We should not be creating conscious, humanoid agents but an entirely new sort of entity, rather like oracles, with no conscience, no fear of death, no distracting loves and hates. International Day of Conscience 2020.
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Imagine a world where every computer system is customized specifically to your personality. It learns the nuances of how you communicate. These are the potential outcomes you could see in the future with Reinforcement Learning.
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Recent work has shown local convergence of training methods for GANs for absolutely continuous data and generator distributions. In this paper, we show that the requirement of absolute continuity is necessary.
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Top 10 predictions. Over the past decade, we’ve seen the start of a new race to Mars, the release of self-driving cars, and the first photograph of a black hole. Over the next ten, the change will be even more incredible.
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Industrial AI Market Report 2020-2025 identified a total of 33 different use cases that employ Artificial Intelligence tools and techniques on connected data sources and assets of industrial enterprises. Let’s explore 10 Industrial AI use cases.
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In a mad rush to hire Data Scientists, most companies overlook three key roles, in the false assumption that it’s a matter of hiring enough data scientists. The question is Who will deliver strategically and what are the Data Science team needs?
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Insights on AI for Project Office. AI is going to have a huge impact on team performance and project outcomes. Searching for expert systems to tame the unstructured matrix that drives innovation, productivity and change in all organizations.
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Deep Learning getting simplified. We’ve seen a big push to solve AI’s “big data problem.” Some interesting breakthroughs have begun to emerge that could make AI accessible to many more businesses and organizations.
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Every aspect of our lives is influenced by advancements in ML and AI, that is why it is important to assess your ML/ AI maturity. Google Search trends for ‘artificial intelligence’ (AI) and ‘machine learning’ (ML) provide validation for this view.
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An AI CoE will enhance your technology implementation, and ensure first time success of your adoption process. An AI CoE will enhance your technology implementation, and ensure first time success of your adoption process.
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A diagnostic look at the part played by AI in developing your most critical of assets, ‘your people’. Understand the impact of AI in the areas of recruitment, personality, training, development and succession. Developing the capability of today, the leaders of tomorrow and getting the best from your most valued asset.
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If focus moves to strategy you can focus on the future and where business needs to go. AI and disruptive change is here.
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AI is as systematic as it is strategic or technological, and therefore requires the same level of systems change thinking that would be applied to any long-term process or digital integration. CoE endless possibilities
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