Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Abstract: The proliferation of Hardware Trojans (HTs) poses a critical threat to the reliability and security of integrated circuits (ICs), particularly in safety and mission-critical domains.

Microsoft launches three in-house AI models for transcription, voice, and image generation, challenging OpenAI and Google ...

Abstract: This paper evaluates the efficacy and usage of a proposed model built on the encoder-decoder Transformer for the purposes of modeling harmonic progressions rooted in the Western tonality ...

Deep learning models for decoding intracortical neural activity during attempted speech into text. This repository contains our team's implementation for the COMP 433 Fall 2025 course project, ...

The encoder employs a DenseNet-B (bottleneck) architecture with three dense blocks separated by transition layers. Each bottleneck layer consists of a 1x1 convolution (expanding to 4x growth rate) ...

MS NOW host details unexpected phone call with Trump: 'I'm like, this can't be happening' Nicholas Brendon dies at 54: Cause of death revealed Should you close the toilet lid before flushing? Here's ...