5 pieces · Artificial Intelligence, Machine Learning & Computing Research · Est. 2007
A study of 31,132 agent skills found 26.1% carried at least one security vulnerability. What the distribution says about where agent deployment risk actually sits.
By Institute for Joint Cognition & AI · 6 min · 7 August 2026
A practical guide to sequencing inference optimizations — quantization, batching, KV cache, speculative decoding — against your workload profile.
By Institute for Joint Cognition & AI · 10 min · 26 June 2026
A technical guide to building a robust MLOps pipeline — covering data versioning, experiment tracking, CI/CD for models, deployment patterns, and drift monitoring.
By Institute for Joint Cognition & AI · 12 min · 20 February 2025
A technical guide to model inference optimization: quantization, batching, KV-cache, distillation, speculative decoding, and hardware trade-offs for ML engineers.
By Institute for Joint Cognition & AI · 11 min · 5 November 2024
How model serving systems handle request queuing, continuous batching, autoscaling, and multi-model deployment in production inference.
By Institute for Joint Cognition & AI · 12 min · 16 September 2024