Artificial intelligence is considered to be computationally and energy-intensive—a challenge for the Internet of Things (IoT), where small, embedded sensors have to make do with limited computing ...

Google signals search’s next phase: small multimodal models on devices infer intent from behavior before a query is ever ...

Artificial intelligence is considered to be computationally and energy-intensive – a challenge for the Internet of Things (IoT), where small, embedded sensors have to make do with limited computing ...

Liquid AI Inc., an artificial intelligence startup building AI models with a novel architecture that provides high performance for size, today announced a breakthrough in AI training and customization ...

Google's new user intent extraction research shows the direction they're taking for the next generation of on-device AI ...

Mistral 3 is designed for customization and privacy. Its smaller multimodal models can run on single GPUs. Mistral hopes the models create "distributed intelligence." Another open-source model has ...

The power of AI models has long been correlated with their size, with models growing to hundreds of billions or trillions of parameters. But very large models come with obvious trade-offs for ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

Microsoft has introduced the new Phi-4-mini-flash-reasoning small language model with the main benefit being that it brings advanced reasoning to resource-constrained environments like edge devices, ...

The AI landscape is taking a dramatic turn, as small language and multimodal models are approaching the capabilities of larger, cloud-based systems. This acceleration reflects a broader shift toward ...