AIM interviews Dr Ganapathi Pulipaka on gallium nitride processors for future space exploration, deep quest of AI, deep learning algorithms, reinforcement learning and high-performance computing.
The Garrison (armies of militia) of libraries worldwide offer millions of books, such as the Library of Congress in D.C. has over 162 million books,
Deep learning systems have significantly evolved in 2020, with trends shifting towards Bayesian neural networks, reinforcement learning, transfer learning, advanced computer architecture, and chip design
Asimov back in the day, to avoid the perils and dangers of robots taking over the humans, set three rules to restrict the behaviour of
Reinforcement learning is built on the mathematical foundations of the Markov decision process (MDP). It’s critical to compute an optimal policy in reinforcement learning, and
The year 2020 saw many exciting developments in machine learning. As the year 2020 comes to an end, here is a roundup of these innovations
Solving advance and complex mathematical conundrums at exascale powers supercomputing that stands at the frontiers of human advancement. Some of the architectures of supercomputing come
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