Apr 16, 2025 · Modern deep learning gives us an opportunity to use new advances to help streamline the design of these algorithms. We can take what we know works well, and use AI to accelerate it,” says Cathy Wu, the Thomas D. and Virginia W. Cabot Career Development Associate Professor in Civil and Environmental Engineering (CEE) and the Institute for Data ...

Oct 4, 2024 · This article explores the various dimensions of problem solving in AI, the types of problem-solving agents, the steps involved, and the components that formulate associated problems. 1. Ignorable Problems. 2. Recoverable Problems. 3. Irrecoverable Problems.

Sep 20, 2023 · In this article, we’ll explore the different Deep Learning algorithms that can be use and discover their nuances. In Deep Learning, there are various algorithms for solving different objectives. Nevertheless, it’s not easy to distinguish these algorithms.

Jun 12, 2024 · The problem-solving strategies in AI are diverse and powerful, each with its unique strengths and applications. From search algorithms to machine learning and logical reasoning, these strategies collectively enable AI to tackle a vast array of challenges, driving innovation and efficiency across industries.

The second half of AI — starting now — will shift focus from solving problems to defining problems. In this new era, evaluation becomes more important than training. ... RL researchers focused mostly on the algorithm (e.g. REINFORCE, DQN, TD-learning, actor-critic, PPO, TRPO…) – the intellectual core of how an agent learns – while ...

Aug 7, 2024 · Explore our comprehensive list of 12 deep learning algorithms in machine learning, including CNNs, RNNs, GANs, Transformers, and more.

Feb 1, 2023 · Finding the optimal solution to a linear programming (LP) problem is a long-standing computational problem in Operations Research. This paper proposes a deep learning approach in the form of feed-forward neural networks to solve the LP problem.

Dec 26, 2024 · There are numerous advanced and difficult problems that AI systems can solve by using their core component which is deep learning algorithms. Here, we will cover a total of 12 core algorithms and their necessary applications as well as how they work.

6 days ago · In this article, we will shed light on the XOR problem, understand its significance in neural networks, and explore how it can be solved using multi-layer perceptrons (MLPs) and the backpropagation algorithm. What is the XOR Problem? The XOR problem is a classic problem in artificial intelligence and machine learning.

Aug 2, 2024 · Through this comprehensive review, we illuminate how optimization algorithms provide effective strategies for solving complex problems, especially those with constraints or multiple objectives.