AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Scientific reasoning moves beyond natural language. The search for a discovery runs across sequences, structures, fields, omics, images and measurements, while language models reason mainly in text. This Perspective sets out four proposals from the Scinetics team. First, we define science tokens: modality-appropriate u...
Scientific design requires reasoning in scientific spaces that represent the objects being designed. Building on Scinetics' Chain of Science Tokens, we present chain-of-structures (COS) as a concrete protein-design case study that connects reasoning and generation through explicit structural states. In this technical r...
Model inversion attacks (MIAs) aim to reconstruct private images from a target classifier's training set, thereby raising privacy concerns in AI applications. Previous GAN-based MIAs tend to suffer from inferior generative fidelity due to GANs’ inherent flaws and biased optimization within the latent space. To alleviat...
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