Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...

Test your problem-solving skills with these 62 lateral thinking puzzles. They’ll challenge you to think out of the box to ...

Zefr, a global leader in brand suitability technology for social platforms, today announced that the U.S. Patent and Trademark Office has granted the company a new patent covering its proprietary ...

Entity classification is similarly divergent. FATCA distinguishes FFIs and NFFEs under Treasury Reg §1.1471-5 (e), while CRS applies a broader "managed-by" test that captures many holding vehicles ...

The system consists of five sequential modules with feedback loops for iterative refinement ...

Why Policy-Conditioned Safety Matters? Conventional moderation models are trained on a single fixed policy. When that policy changes, the model must be retrained or replaced. gpt-oss-safeguard ...

According to OpenAI (@OpenAI), OpenAI has released GPT-OSS-Safeguard in research preview, introducing two open-weight reasoning models specifically designed for safety classification tasks. These AI ...

Enterprises, eager to ensure any AI models they use adhere to safety and safe-use policies, fine-tune LLMs so they do not respond to unwanted queries. However, much of the safeguarding and red teaming ...

Requirements classification, which organizes software requirements into structured categories, is crucial in safety-critical domains such as aerospace. However, practical implementation is challenging ...

Believe it or not, emotional reasoning is neither rare nor uncommon. It is present when we feel jealous and conclude that our partner is cheating on us, with no reason or evidence to back this ...

The hierarchical reasoning model (HRM) system is modeled on the way the human brain processes complex information, and it outperformed leading LLMs in a notoriously hard-to-beat benchmark. When you ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...