Google says its AI tutor delivered a year of math progress in eight weeks. I asked the DeepMind researcher behind the trial ...
As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...
When a standard large language model (LLM) is confronted with a problem, it tries to solve it by matching it to similar information it has seen before, and then give an answer based on those past ...
The model learns that hedging is a signal of lower-quality output. This creates a systematic bias toward sounding certain.
Many business tasks must run on a recurring schedule, such as checking thresholds, polling for conditions, or sending periodic notifications. Manually handling these tasks is unreliable and doesn't ...
A practical guide to OpenCode — from your first prompt to custom agents, skills, plugins, and MCP integrations. Built around clear mental models and real examples, not marketing. Who this is for: ...
Abstract: We propose algorithms for performing model checking and control synthesis for discrete-time uncertain systems under linear temporal logic (LTL) specifications. We construct temporal logic ...
Abstract: This study introduces a robust planning framework that utilizes a model predictive control (MPC) approach, enhanced by incorporating signal temporal logic (STL) specifications. This marks ...
Background Audit and feedback (A&F) interventions improve patient care but may result in unintended consequences. To evaluate plausible harms and maximise benefits, theorisation using logic models can ...
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