Why modeling SKUs as a network reveals what traditional forecasts miss The post Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting ap...
The Hum of a Server Rack The hum of a server rack in the corner of an abandoned warehouse is the first thing you notice. It’s not the whirring fans or the blin...
Using the ReLU Activation Function In the previous articles we used back‑propagation and plotted graphs to predict values correctly. All those examples employe...
Article URL: https://www.tuned.org.uk/posts/013_the_topological_transformer_training_tauformer Comments URL: https://news.ycombinator.com/item?id=46666963 Point...
'Riya is in school, and exams are coming. Her elder sister notices something interesting: | Study Hours | Marks | |
Ever searched for something specific, only to be met with results that are close, but not quite? On Etsy’s Search Relevance team, that frustration is exactly wh...
Large reasoning models (LRMs) produce a textual chain of thought (CoT) in the process of solving a problem, which serves as a potentially powerful tool to under...
Frontier language model capabilities are improving rapidly. We thus need stronger mitigations against bad actors misusing increasingly powerful systems. Prior w...
Recent advances in 3D shape generation have achieved impressive results, but most existing methods rely on clean, unoccluded, and well-segmented inputs. Such co...
Progress in Type 1 Diabetes (T1D) algorithm development is limited by the fragmentation and lack of standardization across existing T1D management datasets. Cur...
Smart grid infrastructures have revolutionized energy distribution, but their day-to-day operations require robust anomaly detection methods to counter risks as...
We study first-hitting times in Differential Evolution (DE) through a conditional hazard frame work. Instead of analyzing convergence via Markov-chain transitio...
