A research team has developed an innovative remote sensing model that significantly improves the accuracy of monitoring ...

Fine-tuned “student” models can pick up unwanted traits from base “teacher” models that could evade data filtering, ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

AI advancements like Grok 4 highlight Nvidia being the overwhelming leader in supplying the picks and shovels for the GPU ...

AI-trained data analysis models may offer a more rapid and accurate detection of a range of neurologic conditions, including ...

Trader AI Inc. is a AI-driven cryptocurrency trading solutions. Founded in 2023 by a team of quantitative analysts, data scientists, and seasoned software engineers, Trader AI’s mission is to ...

X-hacking’ is the term used by DFKI researchers to describe a risk in the field of explainable artificial intelligence (XAI) that has received little attention to date. At this year's International ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

With this, SKT has released a total of four models as open source, including two AX 3.1 models (standard, lightweight) based on the from-scratch method and two AX 4.0 models (standard, lightweight) ...

Coder, its most advanced agentic AI coding model to date. Designed for high-performance software development, Qwen3-Coder ...

The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...