about.subtitle
This selection brings together research and case studies dedicated to a new stage of cognitive evolution – the merging of biological and technological potential. We view hybrid intelligence not merely as a technological achievement, but as a method for expanding the boundaries of human perception and analysis. Collected here are materials on the shifting logic of scientific inquiry, design, and management, occurring when an algorithm ceases to be just a tool and becomes a full-fledged participant in the thinking process.
We explore why the future of AI agents lies not in a single powerful model, but in the coordinated work of specialized systems, each responsible for its own domain.
Lab
Computer Science
A new method allows autonomous systems to stay safe even when sensors are «lying» and the robot's true position is hidden behind a cloud of noise and inaccuracies.
Researchers at the Allen Institute for AI have created the Theorizer system, which analyzes arrays of scientific publications and attempts to formulate general patterns from them.
AI: Events
Technical context • Development
Anthropic has enhanced Claude's capabilities in handling low-level code and transferring knowledge to other models through its new «Extended Thinking» feature.
NeuroBlog
Artificial intelligence • Scientific Algorithms
Neural networks have evolved into modern oracles of science, predicting protein structures and discovering new materials, yet the question remains whether they can truly grasp secrets that have eluded humans for centuries.
The startup Overcut uses Azure to build secure agent systems that help companies automate work within complex development infrastructure.
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