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Beyond static AI: MIT’s new framework lets models teach themselves
MIT researchers developed SEAL, a framework that lets language models continuously learn new knowledge and tasks.
IEEE13d
Directional Stability and Conservation of Scattering (DiSCS)-Based Directional-Ambiguity Removal Algorithm for Improving Wind Fields From Scatterometer: A QuikSCAT Example
A new directional-ambiguity removal algorithm has been developed for improving the wind fields derived from a scatterometer. Exploiting the natural spatial variability of ocean surface wind directions ...
Harvard Business Review29d
How to Design an AI Marketing Strategy - Harvard Business Review
In order to realize AI’s giant potential, CMOs need to have a good grasp of the various kinds of applications available and how they may evolve. This article guides marketing executives through ...
Frontiers1mon
Frontiers | Deep learning outperforms existing algorithms in glacier surface velocity estimation with high-resolution data – the example of Austerdalsbreen, Norway
3.2 GeoCosiCorr3D. With Sentinel-2, the intensity tracking method geoCosiCorr3D, with a window size of 32 × 32 pixels, a minimum step size of 10 m and based on the frequency domain, resulted in ...
GitHub1mon
spaced-repetition-algorithm · GitHub Topics · GitHub
Add a description, image, and links to the spaced-repetition-algorithm topic page so that developers can more easily learn about it ...
IEEE1mon
Using a Bayesian Feature-selection Algorithm to Identify Dose-response Models Based on the Shape of the 3D Dose-distribution: An Example from a Head-and-neck Cancer Trial ...
A reduction in salivary flow and xerostomia are common side-effects after radiotherapy of head and neck tumours. Xerostomia can be modeled based on the dose to the parotid glands. To date, all spatial ...