about.subtitle
In this selection, we examine neural networks not as an abstract technological trend, but as a practical method for handling data and structures. We have compiled research and case studies focused on the internal logic of algorithms: from fundamental learning principles to the ethical and practical challenges that arise during scaling.
Lab
Electrical Engineering & System Sciences
Researchers tested whether AI systems can comprehend real-world medical conversations – and the results delivered a harsh verdict for the entire industry.
AI: Events
Infrastructure
AMD explains how to run ensemble weather forecasting on its GPUs – an approach that acknowledges and works with the inherent imprecision of forecasting.
OpenAI has introduced GPT-5.4, a new model with enhanced capabilities for working with code, tools, and extensive volumes of text.
OpenAI has released the system card for GPT-5.4 Thinking – a document explaining the new model's working principles, limitations, and safety level.
Researchers have demonstrated how to fine-tune AI models to replace complex physics simulations – making them faster and cheaper than running calculations from scratch.
Amazon Bedrock now supports persistent orchestration and memory for AI agents, changing the approach to building multi-step workflows.
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