The method has two main features: it evaluates how AI models reason through problems instead of just checking whether their ...

Abstract: Model-Based Systems Engineering (MBSE) relies on precise, unambiguous requirements; however, stakeholders often express needs in free-form natural language, leading to ambiguity and rework.

Hooker says she wants to "eliminate prompt engineering" with AI models that intuitively adapt to varying tasks ...

San Francisco-based AI lab Arcee made waves last year for being one of the only U.S. companies to train large language models (LLMs) from scratch and release them under open or partially open source ...

Scientists can now design virus-based bacteria killers from scratch, potentially reshaping the fight against antibiotic resistance. Bacteriophages have been used therapeutically to treat infectious ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

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 ...

Elastic is rooted in open source, which is why it licenses Elasticsearch and Kibana under the GNU Affero General Public License. Maintaining a transparent and free software environment remains central ...

OpenAI trained GPT-5 Thinking to confess to misbehavior. It's an early study, but it could lead to more trustworthy LLMs. Models will often hallucinate or cheat due to mixed objectives. OpenAI is ...

OpenAI announced today that it is working on a framework that will train artificial intelligence models to acknowledge when they've engaged in undesirable behavior, an approach the team calls a ...