Advancements in large language models (LLMs) are revolutionizing interactive game design, enabling dynamic plotlines and interactions between players and non-player characters (NPCs). However, LLMs may exhibit flaws such as hallucinations, forgetfulness, or misinterpretations of prompts, causing logical inconsistencies and unexpected deviations from intended designs. Automated techniques for detecting such game bugs are still lacking. To address this, we propose a systematic LLM-based method for automatically identifying such bugs from player game logs, eliminating the need for collecting additional data such as post-play surveys. Applied to a text-based game DejaBoom!, our approach effectively identifies bugs inherent in LLM-powered interactive games, surpassing unstructured LLM-powered bug-catching methods and filling the gap in automated detection of logical and design flaws.

Despite the remarkable success achieved by deep learning algorithms in various domains, such as computer vision, they remain vulnerable to adversarial perturbations. Adversarial Training (AT) stands out as one of the most effective solutions to address this issue; however, single-step AT can lead to Catastrophic Overfitting (CO). This scenario occurs when the adversarially trained network suddenly loses robustness against multi-step attacks like Projected Gradient Descent (PGD). Although several approaches have been proposed to address this problem in Convolutional Neural Networks (CNNs), we found out that they do not perform well when applied to Vision Transformers (ViTs). In this paper, we propose Blacksmith, a novel training strategy to overcome the CO problem, specifically in ViTs. Our approach utilizes either of PGD-2 or Fast Gradient Sign Method (FGSM) randomly in a mini-batch during the adversarial training of the neural network. This will increase the diversity of our training attacks, which could potentially mitigate the CO issue. To manage the increased training time resulting from this combination, we craft the PGD-2 attack based on only the first half of the layers, while FGSM is applied end-to-end. Through our experiments, we demonstrate that our novel method effectively prevents CO, achieves PGD-2 level performance, and outperforms other existing techniques including N-FGSM, which is the state-of-the-art method in fast training for CNNs.

Expressionism is a modernist movement in which highly intense and non-naturalistic traits present the world solely from a subjective perspective, distorting it radically for emotional effect in order to evoke moods or ideas. Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. The works comprise ultra high-resolution digital renderings using AI intervention underpinned by classical fine art techniques. Some pieces call to mind Surrealism, balancing a rational vision of life with one that asserts the power of the unconscious and dreams. The result are images that hope to evoke subjective emotion and response over objective reality.

Robots already assemble and weld products in factories. Can they make the components parts themselves, too? Although it may not be obvious, there's a close link between manufacturing technology and innovation. Elon Musk often talks of the "machines that build the machines" as being the real enabler in both his space and automotive businesses. Using less-expensive, more scalable processes allows Space X to launch missions on budgets and with speed that would be unthinkable using NASA's old-school manufacturing methods.

It is essentially a modern technology-based sporting event in which teams build remote controlled robot-like things that fight in an arena. Two robots enter, one robot leaves--and on May 11, the eighth season of the showdown begins. Of course, there are many engineering aspects of these bots--but underlying every bit of technological terror is some very fundamental physics. Let's go over some of the physics-based tactics used in the game. How many of the robots have spinning-based weapons? It seems to be a popular choice.

Artificial Intelligence (or AI) is one of the technology innovations of the moment. And like many other significant innovations, it is dividing opinion. Proponents believe that AI will have a profoundly positive impact on our biggest challenges, like preventing disease, creating a fairer society and reducing our impact on the environment. Critics are less enthusiastic; some people believe that AI represents an existential threat to humankind. So should we welcome AI or resist it?

Artificial Intelligence (or AI) is one of the technology innovations of the moment. And like many other significant innovations, it is dividing opinion. Proponents believe that AI will have a profoundly positive impact on our biggest challenges, like preventing disease, creating a fairer society and reducing our impact on the environment. Critics are less enthusiastic; some people believe that AI represents an existential threat to humankind. So should we welcome AI or resist it?

A Baxter robot of Rethink Robotics picks up a business card as it performs during a display at the World Economic Forum, in China's port city Dalian Thomson Reuters "There's just doesn't seem to be many blacksmith jobs these days." At first glance, this would be a ridiculous thing to say. We live in a modern society and machines do a way better job of making things from metal anyways. What if machines are better at driving long-haul trucks? What if machines are better servers at McDonald's?

Ryan Brady is a digital strategist and social media manager for Digital Response Marketing Group. "Enjoy your com-FORT-able stay," says a robot front-desk clerk at Japan's Robot Hotel. Do you thank the robot for its awkward salutation? Or maybe you hesitate for a moment before shuffling off in silence. If our digital screens are separating us from human interaction, you better believe AI will further tear that tenuous social fabric.

I'm often asked about my thoughts on the future. What will transportation be like? What new forms of entertainment will we enjoy? While I have covered these topics in previous articles, it's important to understand that they're all forms of work. So today I want to discuss the future of work -- how technological advancements, namely robotic assistants and tools, as well as tech-enhanced globalization, will affect our daily work flow and the labor market in general.