Bringing Power Efficiency to TinyML, ML-DSP and Deep Learning Workloads
In recent times, the need for real-time decision making, reduced data throughput, and privacy concerns, has moved a substantial portion …
In recent times, the need for real-time decision making, reduced data throughput, and privacy concerns, has moved a substantial portion …
The advantages of AI at the edge are now obvious. Where real-time response is critical, for example in safety sensitive …
Mobile computing has driven an explosion in product opportunities – smartphones, wearables, hearables, sports cameras, and more. Sensing will further …
Over the next few years, smart displays are going to get smarter, cheaper, and more popular in our homes. Smart displays …
Drones are big business, with Goldman Sachs recently forecasting the market will grow to $100 billion by 2020. These stellar …
I recently attended MWC Shanghai. Robots were big – very big. I saw dozens of companies, looking for customers to …
Apple’s sales figures and stratospheric share price reflect the success of the “best, not first” strategy that it’s adopted since …
In the past few years, automatic speech recognition (ASR) has become common practice, with billions of voice-enabled products and services. …
Thanks to the explosion of new smart speakers and other voice activated devices, you’re likely comfortable talking to your devices. …