Researchers are combining LLM capabilities with real-world usage data to track “observed exposure,” revealing which roles may be most vulnerable.

Abstract: Multimodal aspect-based sentiment analysis (MABSA) is a challenging task that predicts sentiment polarity for specific aspect terms based on inputs across modalities. Existing approaches ...

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

Quiq reports AI automation enhances efficiency by adapting to customer interactions, offering personalized service while ...

OpenAI Group PBC today launched a new large language model that it says is more adept at automating work tasks than its earlier algorithms. GPT-5.4 is available in ChatGPT, the Codex programming tool ...

Anthropic's new AI Exposure Index ranks computer programmers as the most vulnerable to LLM automation, with 75% of tasks automatable and early-career hiring slowing.

As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

In a landmark study published in Cell Reports, scientists demonstrated that mouse cortical organoids (miniature, lab-grown ...

Teacher Role Transformation in Technology-Enhanced Chinese Language Education: A Study on Adaptation. Open Access Library Journal, 13, 1-11. doi: 10.4236/oalib.1114866 . With the advent of the digital ...

Alzheimer’s disease and related dementias were less likely among adults who completed cognitive speed training with booster sessions, according to data published in Alzheimer’s & Dementia: ...

Conversational chatbots were the first chapter of AI. Today is the beginning of the second. We are excited to introduce ...

Copilot Tasks appears to be Microsoft’s response to the agentic AI capabilities launched in recent months, including Claude ...