The history of AI training has been shaped by the limits of communication. For years, progress depended on placing machines ...

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

As LLMs and diffusion models power more applications, their safety alignment becomes critical. Our research shows that even minimal downstream fine‑tuning can weaken safeguards, raising a key question ...

Reading an Arabic newspaper, a book, or academic prose fluently, whether digital or in print, remains challenging for many ...

This article underscores the critical need to integrate Noncommissioned Officers (NCOs) into the Army’s staff operations process through training.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive optical networks, in particular, enable large-scale parallel computation ...

Abstract: As an amendment to the deep forest, deep forest regression (DFR) has been recently proposed for industrial process modeling. However, training DFR models is an arduous task in terms of ...

The Nova Forge offering from Amazon Web Services gives organizations access to Amazon's AI models in various stages of training so they can incorporate their own data earlier in the process. The new ...

Amazon has announced a new family of frontier artificial intelligence models—and a new way for customers to build frontier models of their own. The ecommerce giant announced the second generation of ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...