Browsing: learning

Modern LLMs achieve impressive performance. However, once deployed, they remain largely static, operating with a fixed knowledge cutoff date that leaves them unable to acquire long-term capabilities or adapt to new information

Voyage performance varies even between seemingly identical ships, and models built on vessel-type averages often miss the mark. Manta Marine Technologies (Manta) closes that gap with machine learning (ML) models trained on each vessel’s own operational history. In this post, we show how Manta delivers vessel-specific voyage optimization with machine learning on Amazon Web Services…

If you have used scikit-learn for a while, you have probably written this pipeline. Numeric columns get imputed and scaled. Everything else gets imputed and one-hot encoded. Columns are routed by dtype, so it works on almost any table without you looking at it.

While we have tracked a few chance to score the latest Google Nest Learning Thermostat (4th gen) is the $230 range more than a few times this year – it has in fact been down that low more often than not. But we are now tracking down at one of the lowest prices to date over…

Machine-learning can quickly analyze complex phenomena like this simulation of ice crystals. Machine learning combined shape classification, image processing, and statistical analysis to identify and characterize the ice grains. Image courtesy of Argonne National Laboratory

Fitzroy Minerals Inc. (FTZ:TSX.V; FTZFF:OTCQX; C3Y:FSE) identified nine previously untested copper exploration targets using machine learning and 3D seismic imaging at its Buen Retiro project in Chile, where a 5,000-meter drilling program is underway.

Most fine-tuning teaches a model to produce a better answer to a single prompt. Agentic tasks are different. An agent that files an expense report or triages a support ticket takes a sequence of actions, and each step depends on what came before. There’s rarely one correct sequence to imitate, and the only reliable feedback…

Fitzroy Minerals’ machine learning study with Fleet ranks 9 untested copper targets at Buen Retiro, Chile, ahead of a 5,000-meter drill program.

Siddhartha Das explains how machine learning helps his group sift through roughly a trillion simulation data points. It reveals water and electroosmotic flow behavior and could speed the design of sensor-like channels.

MACHINE learning models using routinely available clinical and cognitive data demonstrated moderate-to-good performance in classifying Alzheimer’s disease and cognitive impairment, with accuracy reaching 88.1% across three clinically relevant classification tasks.