Beyond 3-D: Data scientists introduce novel AI tool to interpret complex biological data

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...
IEEE

Aligning Normal Representations in Diffusion Model for Video Anomaly Detection

Abstract: Recent advances have highlighted the potential of diffusion models in Video Anomaly Detection (VAD). Diffusion models are typically employed to generate negative instances to distinguish ...

Liquid AI's smallest model yet LFM2.5-230M beats models 4X its size at data extraction, can run 'anywhere'

LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...

New framework renders AI more trustworthy for cancer subtyping

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks are largely unaware of the limits of their training data and can become ...
IEEE

Multi-Modal Dyslexia Detection Model via SWIN Transformer With Closed-Form Continuous Time Networks

Abstract: Dyslexia is a condition that reduces the cognitive abilities of the individuals. Dyslexic individuals (DI) face challenges in recognizing letters and words. Healthcare centers employ ...