Tweet Tweet Share Share Last Updated on August 15, 2022 Stochastic gradient descent is a learning algorithm that has a…
Tweet Tweet Share Share Last Updated on August 10, 2022 Looking at all of the very large convolutional neural networks…
Deep neural networks have enabled technological wonders ranging from voice recognition to machine transition to protein engineering, but their design…
In cooperative multi-agent reinforcement learning (MARL), due to its on-policy nature, policy gradient (PG) methods are typically believed to be…
FIGS (Fast Interpretable Greedy-tree Sums): A method for building interpretable models by simultaneously growing an ensemble of decision trees in…
We recently published the Berkeley Crossword Solver (BCS), the current state of the art for solving American-style crossword puzzles. The…
Figure 1: In real-world applications, we think there exist a human-machine loop where humans and machines are mutually augmenting each…
By John P. Desmond, AI Trends Editor The AI stack defined by Carnegie Mellon University is fundamental to the approach…
By John P. Desmond, AI Trends Editor Advancing trustworthy AI and machine learning to mitigate agency risk is a priority…
By AI Trends Staff While AI in hiring is now widely used for writing job descriptions, screening candidates, and automating interviews,…