ALT Feature importance comparison of OpenBioLLM-70B across different input formats for predicting in-hospital 30-day mortality. (A) Natural language-based model (True). (B) JSON-based model (True). (C) Natural language-based model (False). (D) JSON-based model (False). The figures present feature importance analysis for cases where the target class (in-hospital 30-day mortality) is positive (A, B) and negative (C, D). Specifically, (A) and (C) correspond to natural language-based inputs, while (B) and (D) correspond to JSON-based inputs. Each plot illustrates the contribution of input features (tokens) to the output probability of the specific in-hospital 30-day mortality class. Tokens in red contribute positively by increasing the probability of the predicted class relative to the base value, whereas tokens in blue contribute negatively, reducing the probability of the class.

ALT A comprehensive reworking of Cisco’s business networking strategy was announced at the Cisco Live Conference 2026, along with the introduction of a new “AI-ready” branch architecture intended to address the particular requirements of artificial intelligence workloads. The announcement focuses on a complete overhaul of the Cisco Secure Router lineup, including a first-of-its-kind quantum-era security suite to guard against upcoming cryptographic threats and “AgenticOps” to automate intricate network activities. Hub-and-Spoke’s End: Handling the AI Traffic Transition A fundamental shift in the type of corporate data flow is the driving force behind this architectural transformation. The intricacy of AI is overwhelming existing Wide Area Network (WAN) infrastructures, which were initially designed for straightforward hub-and-spoke configurations, according to Lee Peterson, VP of Product Management for Secure WAN at Cisco.