Terrestrial radio needs to understand and vet the streaming tech properly, similar to the AM to FM transition, Greg Ogonowski ...

High-quality image inpainting requires filling missing regions in a damaged image with plausible content. Existing works either fill the regions by copying image patches or generating ...

CES 2026 has made it clear that smart home technology is no longer limited to mobile apps or voice commands. Devices now understand habits, perform tasks without being prompted, and are becoming a ...

Analyzing large-scale time-series network data, such as social media and email communications, poses a significant challenge in understanding social dynamics, detecting anomalies, and predicting ...

Ahead of the CES show floor officially opening on Tuesday, January 6th, many companies have already announced new tech, ...

The Price to Earnings (P/E) ratio, a key valuation measure, is calculated by dividing the stock's most recent closing price by the sum of the diluted earnings per share from continuing operations for ...

FaceTec, the global leader in 3D Face Verification software, is thrilled to announce the appointment of Cameron D'Ambrosi as Head of Strategic Partnerships for North America and the European Union as ...

Ryan Downie has 9+ years of equity research, financial consulting, and business ownership. He has 500+ published equity research works. Katrina Ávila Munichiello is an experienced editor, writer, fact ...

Meta Platforms Inc. is bringing prompt-based editing to the world of sound with a new model called SAM Audio that can segment individual sounds from complex audio recordings. The new model, available ...

Abstract: Change detection is a critical task in earth observation applications. Recently, deep-learning-based methods have shown promising performance and are quickly adopted in change detection.

Abstract: Recent deep learning methods for vessel trajectory prediction are able to learn complex maritime patterns from historical automatic identification system (AIS) data and accurately predict ...