By combining native vision, audio, and reasoning in a compact model, Gemma provides a compelling platform for local AI agents ...

Meta recently open-sourced Brain2Qwerty v2, a noninvasive Brain–Computer Interface (BCI) that can decode sentences from ...

Emerging wireless demands are reshaping how next-generation networks are built, from spectrum strategy to intelligent signal ...

Most data teams discover quality problems the same way: a dashboard looks wrong, a stakeholder files a ticket, and an engineer traces the damage backward through the pipeline. By then, the bad data ...

Abstract: Developing deep learning models for accurate segmentation of biomedical CT images is challenging due to their complex structures, anatomy variations, noise, and unavailability of sufficient ...

These local LLMs are changing the game in lots of fun ways.

Kendall, A., Badrinarayanan, V. and Cipolla, R. (2015) Bayesian SegNet Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding. arXiv 1511.02680.

Physicists at the University of California, Irvine, have developed an artificial intelligence system that can autonomously ...

Forensic science plays a vital role in identifying, characterizing, and quantifying physical and biological traces recovered from crime scenes — a task that ...

ARDY is an autoregressive diffusion model designed for interactive motion generation, supporting online text prompting and flexible long-horizon kinematic constraints (root paths/waypoints, full-body ...

Breast ultrasound interpretation requires simultaneous lesion segmentation and tissue classification, yet conventional multi-task learning approaches suffer from task interference and rigid ...