AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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TrialScribe is developed, a domain-specific harness that equips coding agents with task skills and a verification loop that improves a locally served open-weight model by 6.2-59.4 points across eight metrics, enabling it to match or surpass proprietary models such as GPT-5.6-Sol.
Apollo did not reach the Moon merely because its engineers could solve difficult equations. It succeeded by turning a distant ambition into a mission architecture of explicit objectives, simulation, verification, and repeated correction. AI now faces a similar transition: frontier models can solve difficult tasks once...
TrialAtlas is introduced, a memory-augmented multi-agent research organization for CDP that mirrors this collaborative process by coordinating specialized agents for literature synthesis, competitive trial intelligence, regulatory precedent analysis, and integrated reasoning over trial design and development risk.
A large-scale structured resource aggregating 1.6M clinical trial records from fifteen global registries linked with biomedical ontologies and literature is introduced, demonstrating the potential of domain-adapted AI to improve evidence synthesis and clinical trial design and establishing as a foundation for scaling A...
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