Users running a quantized 7B model on a laptop expect 40+ tokens per second. A 30B MoE model on a high-end mobile device ...

When logic and memory operate at the same ultralow voltage, data transfer becomes seamless, hinting at new efficiencies in AI ...

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 ...

‘Hey Google’ find me a suitable keyword spotting (KWS) model for edge devices. While voice control is essential for modern interfaces like Alexa, Siri, and Hey Google, building KWS models on edge ...

From IoT and robotics to industrial automation and smart devices, AI is fundamentally changing how machines operate. But one of the biggest hurdles to widespread adoption has always been the ...

KittenTTS brings small text to speech models to edge devices; the Nano 8-bit model is about 25 MB, local playback is possible.

French AI startup Mistral has released its first generative AI models designed to be run on edge devices, like laptops and phones. The new family of models, which Mistral is calling “Les Ministraux,” ...

With that, the AI industry is entering a “new and potentially much larger phase: AI inference,” explains an article on the Morgan Stanley blog. They characterize this phase by widespread AI model ...

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...

In a major push towards accessible artificial intelligence, Indian startup Sarvam AI has launched Sarvam Edge — a ...