For most of the industry’s history, the lever for semiconductor performance gains was process-node scaling. That is no longer the whole story. As one recent industry analysis put it, advanced ...

Thinking Machines Lab Inkling launches as the largest US-built open-weight AI model — a 975-billion-parameter multimodal ...

A decade after IBM put its five-qubit quantum processor into the cloud – and by doing so, making the IBM Quantum Experience accessible to the public – the quantum computing industry finds itself ...

Abstract: Few-shot learning is a crucial aspect of modern machine learning that enables models to recognize and classify objects efficiently with limited training data. The shortage of labeled 3D ...

Abstract: Influenza-like illnesses (ILI) result in deaths and hospitalizations across the globe. Traditional surveillance systems rely on data from general medical practitioners. The process is ...

: The illustration depicts a trispecific T cell engager (B7H3xCD3xPDL1) that orchestrates multicellular interactions to activate T cells and reprogram myeloid cells, establishing a feed-forward ...

Soofi S, an open-source AI model developed by German researchers, outperformed all other open-source models included in the ...

Latest AI advancements are leaning toward the development of tabular foundational models (TFMs). These are extremely useful.

To explain the stock market's reaction to earnings results, investors and other market participants have used a standard tool ...

Chinese open-weight models are gaining steam against leading offerings from American companies. OpenAI and Anthropic did not ...

Machine learning is rapidly reshaping how we model molecules, and a growing body of work suggests that neural networks are not merely statistical ...