The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

From early word predictors to GPT-4, explore how language models have evolved—and what they mean for the future of AI and ...

Mischief-makers can guess the subjects being discussed with LLMs using a side-channel attack, according to Microsoft ...

Oct 1 (Reuters) - Bristol Myers Squibb (BMY.N), opens new tab, Takeda Pharmaceuticals (4502.T), opens new tab and Astex Pharmaceuticals are coming together to share proprietary data for training an ...

The findings of this study are valuable, offering insights into the neural representation of reversal probability in decision-making tasks, with potential implications for understanding flexible ...

Abstract: This study provides a comparative evaluation of transformer models and Recurrent Neural Networks (RNNs) for text classification. As the complexity of the text data is growing and more ...

Abstract: In the context of accelerated digital transformation, cybersecurity has become a global strategic issue. With the rapid growth of network traffic and the evolving complexity of attack ...

SHANGHAI/BEIJING May 29 - Chinese artificial intelligence startup DeepSeek released the first update to its hit R1 reasoning model in the early hours of Thursday, stepping up competition with U.S.

Service-based organizations may handle thousands of customer emails daily, placing a significant burden on IT help desks, customer service organizations, and other departments involved in reading, ...

Computer scientists have developed a new AI text-to-video model that learns real-world physics knowledge from time-lapse videos. While text-to-video artificial intelligence models like OpenAI's Sora ...

ABSTRACT: Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...