A systematic approach to retraining deep-learning artificial intelligence algorithms to deal with different situations has been developed has been developed by...
IntroductionThe world has learned two things in the past few months about large language models (LLMs) — the computational engines that power programs such...
AI hates uncertainty. Yet to navigate our unpredictable world, it needs to learn to make choices with imperfect information—as we do every single day.DeepMind...
IntroductionMathematicians love a good puzzle. Even something as abstract as multiplying matrices (two-dimensional tables of numbers) can feel like a game when you try...
Artificial intelligence, or AI, is nothing new. Many people probably think that AI is something that has been developed during the 2000s, but already...
A new computer program fashioned after artificial intelligence systems like AlphaGo has solved several open problems in combinatorics and graph theory.
Reinforcement Learning (RL), a “niche” Machine Learning technique, has surfaced in the last five years. In context-based decision making, Reinforcement Learning helps the machine take action-provoking decision making through a trial-and-error approach to achieve the optimal algorithmic model for a situation. Furthermore, the machine is trained through a reward/penalty-based feedback mechanism, the goal of which […]
