Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

Firm strengthens engineering resources to support private LLM deployments, AI automation, and enterprise data pipelinesSeattle-Tacoma, WA, ...

A next-generation algorithmic trading framework that leverages graph-based workflow architecture, ensemble technical analysis, and AI language models to make data-driven cryptocurrency trading ...

Darktrace researchers say hackers used AI and LLMs to create malware to exploit the React2Shell vulnerability to mine ...

This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.

A marriage of formal methods and LLMs seeks to harness the strengths of both.

AI is moving from “interesting tool” to “invisible teammate.” It is now time to focus on more advanced skills that let you design, supervise and multiply that teammate’s impact, especially in ...

Abstract: Real-time autonomous control of decentralized drone swarms in dynamic and cluttered environments remains a significant challenge. This paper presents a natural language-driven framework that ...

Abstract: A historical review of E-Model development for time-dependent dielectric breakdown (TDDB) is presented. The E-Model tends to be a very useful reliability assurance model for TDDB because of ...

aDepartment of Rehabilitation Medicine, Third Affiliated Hospital of Soochow University, Changzhou, China bDepartment of Anesthesiology, Third Affiliated Hospital of Soochow University, Changzhou, ...

Discover the top 10 AI red teaming tools of 2026 and learn how they help safeguard your AI systems from vulnerabilities.

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...