Many decisions cannot wait for a round trip to the cloud. Driver monitoring, industrial sensing and adaptive audio all ...

Meta’s latest release of the Llama 3.2 model marks a significant advancement in AI, particularly in edge computing and on-device AI. Llama 3.2 brings powerful generative AI capabilities to mobile ...

Here are our picks for the top 10 edge AI chips with a bright future across applications from vision processing to handling multimodal LLMs.

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 ...

New developments that will leverage a focus on cloud-native technologies, including serverless and containers, will change the level of I/O requirements. Internet egress (i.e., the on-ramps and ...

Large language models are powerful, but generally they require vast computing resources, which means they typically have to run on stacks of high-end GPUs in data centers. Now, startup Multiverse ...

‘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 ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Edge Impulse, the leading platform for building, deploying, and scaling edge machine learning models, today announces Microchip Technology’s SAMA7G54 microprocessor ...

TOKYO--(BUSINESS WIRE)--Mitsubishi Electric Corporation (TOKYO: 6503) announced today that it has developed a language model tailored for manufacturing processes operating on edge devices. The Maisart ...

Artificial intelligence (AI) and machine learning (ML) have undergone significant transformations over the past decade. The revolution of convolutional neural networks (CNNs) and recurrent neural ...