In recent years, Large Language Models (LLMs) have significantly redefined the field of artificial intelligence (AI), ...

Learn how reinforcement learning and prompt engineering are shaping the future of large language models for smarter AI ...

Researchers have developed a new AI algorithm, called Torque Clustering, that is much closer to natural intelligence than ...

Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...

Researchers have systematically detailed, step by step, how cognitive maps form in the brain's hippocampus -- a region responsible for learning and memory.

and any sudden drops or spikes should be mitigated by the gradual rollout process. The rollout will be completed by the end of August 2021. In a world ruled by algorithms, SEJ brings timely ...

Auto-Multilift is a novel learning framework for cooperative load transportation with quadrotors. It can automatically tune various MPC hyperparameters, which are modeled by DNNs and difficult to tune ...

To increase the accuracy in predicting fire events, we will use various ML algorithms to check if there is fire or not. We will also train the machine and test by providing custom input whether there ...

In this chapter, we discuss how to automate penetration testing using reinforcement learning (RL) for cyber operations. We discuss how RL will be trained and tested over a standard attack graph ...

Machine learning algorithms process an average of 3.2 million security events daily, enabling organizations to detect threats in real-time. AI-powered systems reduce the mean time to detect (MTTD) ...

When implemented, it can impact every aspect of the music-making process including music generation ... while others use machine learning algorithms to generate brand new songs and sounds. Another ...