Medical professionals have been using artificial intelligence (AI) to streamline diagnoses for decades, using what are called ...

As artificial intelligence takes off, how do we efficiently integrate it into our lives and our work? Bridging the gap ...

Getting retrieval-augmented generation right requires a deep understanding of embedding models, similarity metrics, chunking, ...

This architecture lets Token Monster tap into a range of models from different providers without having to build separate integrations for each one.

TI's TMS320F28P550SJ MCU with an integrated neural processing unit is designed to run CNN models to help reduce latency and ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

The DuckDB concept contrasts with the model of data warehousing established over the last 30 years or so. Whether on-prem ...

Attackers inject malicious code into AI models hosted on the public repositories. These models allow attackers to manipulate ...

Karthik Chava, a DevOps expert and AI researcher, has recently come up with a fully personalized healthcare ecosystem ...

Researchers developed multiple architectures, including U-Net 2D and 3D CNNs, as well as a Vision Transformer (ViT), to ...

With the massive hype around AI, public service leaders could be forgiven for seeing AI as a quick solution to service ...

A*STAR I²R's MERaLiON understands how people in Southeast Asia speak, emote, and interact, which could help improve chatbot's ...