Approximate unlearning removes irrelevant information from vision-language models (VLMs) while preserving performance.

Antom, a leading merchant payment and digitisation services provider under Ant International, today announced major upgrades ...

Abstract: Unsupervised domain adaption (UDA) aims to reduce the domain gap between labeled source and unlabeled target domains. Many prior works exploit adversarial learning that leverages ...

Identifying the functions of known proteins is an important task in understanding their critical roles in biological processes. Although high throughput sequencing tools seem to make this task easier, ...

New research from Stacker and Scrunch shows how earned media distribution increases AI citations by more than 300 percent.

Abstract: In this letter, a novel estimation approach for the Doppler chirp rate and baseline in azimuth is proposed for the multichannel in azimuth high-resolution and wide-swath (HRWS) synthetic ...

The microbe Pyrodictium abyssi is an archaeon—a member of what's known as the third domain of life—and an extremophile. It ...

Market opportunities include enhancing phone-car interconnection functions, expanding smart ecosystem connectivity across devices, introducing unified IoT protocols for comprehensive vehicle-centered ...

Instead of a single, massive LLM, Nvidia's new 'orchestration' paradigm uses a small model to intelligently delegate tasks to ...

The authors analyzed spectral properties of neural activity recorded using laminar probes while mice engaged in a global/local visual oddball paradigm. They found solid evidence for an increase in ...