This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Culture, not technology, determines cyber resilience. Learn how trucking fleets can replace ineffective cybersecurity training with real-world, scenario-based awareness programs.

When Anthropic launched Skills in October, the announcement read like a niche developer feature. Two months later, OpenAI has ...

As part of its commitment to improving the understanding of Classification within the Paralympic Movement, the IPC provides a free, open access online course. Whether you’re an Athlete, coach, ...

Abstract: Masked language modeling (MLM) and masked image modeling (MIM) pretraining paradigms have achieved remarkable success in both natural language processing (NLP) and computer vision (CV).

Abstract: Traditional recommender systems, such as collaborative filtering and content filtering, have inherent limitations, including cold start issues and challenges in filtering information.

SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.

This is a Python repository for recovering weights or re-training a multimodal masked autoencoder on anatomical brain MRIs. It naturally handles missing modalities and processes any combination of ...

Corner cube radar calibration steps explained using Ultimate ADAS and ADAS Link for accurate, repeatable forward radar resets ...

Repeatable training means training the AI over and over again in a way that you can do the exact same steps each time. This ...