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An agentic AI system for automated troubleshooting in optical communication networks is demonstrated that integrates data references into the agent architecture to prevent data hallucinations, improving the interpretability and trustworthiness of root-cause identification and reasoning.
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.
The London-headquartered bank recommends holding on to big tech stocks ahead of their earnings, but has a preference for companies with strong business models.
The London-headquartered bank recommends holding on to big tech stocks ahead of their earnings, but has a preference for companies with strong business models.
“Mathematicians did not ask for this work to be done,” said the Association for Human Mathematics.
Enterprise AI startup RapidCanvas has raised $29 Mn (about ₹280 Cr) in its Series B funding round led by Vertex…
Multimodal preference alignment often follows a score-based RLHF pipeline: a reward model is first trained to learn human preferences, then used to score on-policy responses and optimize the response…
