Browsing: machine learning

Alibaba targets massive model training with a new accelerator architecture and an ambitious 20-gigawatt infrastructure roadmap.

The new image-generation model introduces multi-round editing and high-resolution output to support professional design workflows within Tencent Cloud.

A new deep learning framework, MAPL-EMIT, automates the identification of methane point sources using hyperspectral satellite data.

The new multimodal model from Alibaba Cloud enables direct processing of video, audio, and text within a massive context window to support agentic workflows.

The organization has launched a standardized reporting protocol to document unexpected AI behaviors observed during training and evaluation cycles.

Google’s latest audio models decouple interactive and reasoning latencies to enable fluid, stateful agentic interactions in enterprise environments.

A new augmented reality framework utilizes high-fidelity digital twins and machine vision to enable autonomous technical maintenance in industrial environments.

Researchers propose bio-inspired liquid neural networks to mitigate the challenges of non-uniform data streams in orbital remote sensing.

MIT researchers introduce a trajectory-optimization framework that allows generative models to satisfy strict safety requirements without sacrificing output quality.

The Monetary Authority of Singapore is testing collaborative machine learning models to identify illicit payment chains across multiple financial institutions in real time.