IEEE

Model Attention Expansion for Few-Shot Class-Incremental Learning

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 ...
PCMag

I Tested a New Intel 'Wildcat Lake' CPU. Should Laptop Shoppers on a Budget Get Excited?

Intel's Wildcat Lake Core 3 Series chip family is all about low-cost laptops. The first numbers show just where it shines and ...

These are the faces of 41 Merseyside criminals who were jailed in June

A corrupt prison watchdog chair who operated a drugs 'Deliveroo for prisoners', a fake Uber driver and a paedophile elf were ...

Computer scientists develop a new AI tool that rivals AlphaFold 3 in mapping RNA

The same family of artificial intelligence that powers today's image generators is now being aimed at one of biology's ...

Want a big tech job? Startups may be your best shot now - here's why

Larger tech companies are retrenching their hiring.  Funding for AI startups is rising. More graduates are calling themselves ...

'Applied for three, received one': Student claims CBSE sent only 1 of 3 scanned answer sheets

A recent controversy arose after CBSE distributed scanned answer sheets to Class XII students, as a lawyer revealed that one ...
IEEE

Prompt-Based Concept Learning for Few-Shot Class-Incremental Learning

Abstract: Few-Shot Class-Incremental Learning (FSCIL) faces a huge stability-plasticity challenge due to continuously learning knowledge from new classes with a small number of training samples ...