This research seeks to benefit the software engineering society by proposing comparative separation, a novel group fairness notion to evaluate the fairness of m...
Feedback-rich neural architectures can regenerate earlier representations and inject temporal context, making them a natural setting for strictly local synaptic...
From classic CI/CD to agentic AI, self‑healing systems, platform engineering, and FinOps — here's the real state of DevOps at the beginning of 2026. If you stil...
A step-by-step journey through data transformation, star schema modeling, and DAX variance analysis with lessons learned along the way. The post Beyond the Flat...
With advancements in multicore embedded systems, leakage power, exponentially tied to chip temperature, has surpassed dynamic power consumption. Energy-aware so...
Few-for-many (F4M) optimization, recently introduced as a novel paradigm in multi-objective optimization, aims to find a small set of solutions that effectively...
Two months after reporting that the industrial designer who introduced the iPhone Air at Apple’s September event had left for an unnamed AI company, Bloomberg h...
Anthropic has confirmed the implementation of strict new technical safeguards preventing third-party applications from spoofing its official coding client, Clau...
Article URL: https://mathstodon.xyz/@tao/115855840223258103 Comments URL: https://news.ycombinator.com/item?id=46560445 Points: 198 Comments: 139...
A new framework from researchers Alexander and Jacob Roman rejects the complexity of current AI tools, offering a synchronous, type-safe alternative designed fo...
Local search is a fundamental method in operations research and combinatorial optimisation. It has been widely applied to a variety of challenging problems, inc...
We study the discrete-to-continuum consistency of the training of shallow graph convolutional neural networks (GCNNs) on proximity graphs of sampled point cloud...
