Autonomy isn't free; rather, it's financed by sophisticated oversight systems that enable safe and reliable autonomous ...

It can be done, but it requires the edge device vendor to work to optimize the model. A hybrid approach can also extend the applicability of LLMs by combining Cloud and Edge processing. When most ...

A new technique enables on-device training of machine-learning models on edge devices like microcontrollers, which have very limited memory. This could allow edge devices to continually learn from new ...

The release marks a significant strategic pivot for Google DeepMind and the Google AI Developers team. While the industry ...

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

Apple at WWDC today announced Foundation Models Framework, a new API allowing third-party developers to leverage the large language models at the heart of Apple Intelligence and build it into their ...

During WWDC25, Apple announced new versions of its on-device and cloud-based foundation models. Now, they have published a tech report detailing how those models were trained, optimized, and evaluated ...

Experts repeatedly point to privacy and security as key advantages of on-device AI. In a cloud situation, data is flying every which way and faces more moments of vulnerability. If it remains on an ...

Becoming the IT department for hundreds of companies is complicated, but the providers who master it have the potential to be rewarded handsomely. The Fast Company Executive Board is a private, ...