Adversarial reinforcement learning can help automate large parts of testing game environments for bugs and playability issues, EA's AI research team finds.
By Micaela Kaplan
Creating an ethical business and customer experience (CX) begins with understanding the interactions that impact the business every day. To do so,...
Money laundering is a global, longstanding issue that demands attention and evidence suggests that AI is useful in preventing money laundering.
Ever since the dawn of computers, organizations, companies, government agencies and individuals have relied on usernames and passwords as the principle way to identify users and grant (or deny) access to sensitive information, communications and...
Compressed air is not necessarily a factor many people think of as a component in tech, but it's more important than they imagine, either for improving existing technologies or engineering new ones.
Meta and NYU have released "self-rewarding language models" a technique that enables LLMs to self-improve for instruction-following.
Image source: 123RF
Fleet maintenance software is designed to streamline all aspects of maintaining a fleet of vehicles within a business, from scheduling and tracking maintenance to facilitating inventory...
Stanford's "Think, Prune, Train" framework enables LLMs to enhance reasoning skills through self-generated data, leading to more efficient and smarter systems.
From procedural knowledge to self-organizing networks, here's how AI agents are using memory to adapt to their environments.
Machine learning will automate many repetitive tasks in fending off cyberthreats. But cybersecurity is still a human discipline, AI is the complement.