Abstract: Training deep neural networks has become increasingly demanding, requiring large datasets and significant computational resources, especially as model complexity advances. Data distillation ...

After a multi-decade-year mission to understand the nature of the universe, a telescope perched in the mountain plateaus of northern Chile said goodbye in 2022. Now, its final data release is ...

Abstract: Few-Shot Class-Incremental Learning (FSCIL) aims at incrementally learning new knowledge from limited training examples without forgetting previous knowledge. However, we observe that ...

Reflecting on the past five years of employment trends across advertising, it’s clear marketers and employers have been on a fully disorienting turbulent roller coaster ride. For a brief time, the ...

This article is part of Gizmodo Deals, produced separately from the editorial team. We may earn a commission when you buy through links on the site. Reading time 3 minutes This Wednesday morning ...