Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the largest possible models to see what capabilities might appear. Today, the ...

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

The International Medical Device Regulators Forum (IMDRF) has released a draft technical document to create a harmonized set ...

The company uses a decade of operational data and its in-house machine-learning pricing model to protect its customers from ...

In the SOC of the future, autonomous defense moves at machine speed, agents add context and coordination, and humans focus on ...

Researchers working on text-to-image AI have introduced a pair of techniques that could bring high-quality image generation out of the cloud and onto smartphones. SANA-Sprint, a one-step diffusion ...

Methane is one of the most powerful greenhouse gases, yet quantifying its emissions remains difficult at large scales. A new framework, CH4Vision, addresses this problem by estimating methane flux ...

Meta's new hyperagent framework breaks the AI "maintenance wall," allowing systems to autonomously rewrite their own logic ...

The PyTorch Foundation also welcomed Safetensors as a PyTorch Foundation-hosted project. Developed and maintained by Hugging ...

Nearly 80 percent of organizations now use AI in at least one core business process, according to McKinsey, yet widespread adoption has surfaced a persistent problem: a deep shortage of professionals ...

Artificial intelligence terminology continues to expand as researchers and companies develop new systems, prompting the need ...