AI optimists envision a future where artificial general intelligence (AGI) surpasses human intelligence, but the path remains riddled with scientific and logistical hurdles.

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, training on databases, and special computer chips.

The chief executive of Microsoft AI talks to Financial Times editor Roula Khalaf about the markets and AI investment, timescales for replacement of professional tasks, the push for self-sufficiency, a ...

Cooper and a delegation of 47 Oneida warriors carried bushels of white corn on the long, cold trek to feed the starving ...

While the policy provided a general framework for the Penn community, faculty across the University have taken varying approaches to AI use in learning.

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

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For Connecticut residents, Book Barn Downtown is one of those local treasures that’s worth visiting again and again. Each trip offers new discoveries, and the constantly rotating inventory means ...

Researchers from Chiba University have developed a lightweight peer-selection algorithm that significantly reduces data propagation delays without increasing resource usage on internet of things (IoT) ...

The tech platform will allow readers to move between physical and audiobooks and offer the sale of books from independent bookstores. By Caitlin Huston Business Writer About two years after the launch ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...