In 2017, The Economist published an article about The Fuel of the Future: Data Giving Rise to a New Economy. Today, this is more true than ever, and prospecting for new data, in the form of new applications and various sensor-driven data acquisition continues at a rapid pace. According to Cisco, in 2020, we generate about 22 exabytes of data … Continued
If you are an AI engineer dissatisfied with the speed or power consumption of your neural network inferences and believe there are no solutions available for better performance….then keep reading! I’d like to introduce a new way to run your deep neural networks at their most optimal point. It is dynamic, context-aware, and flexible. It … Continued
The Essence of Edge AI Many applications today need edge computing. However, due to privacy issues, the need for real-time responses, and lack of network connectivity, applications are often compromised. A similar position supporting edge computing comes from the argument around network scalability. The cost and latency for network backhaul can be problematic, especially when addressing … Continued
Drowning in Data We live in a data-driven world where IoT devices are always on, always tracking, and always monitoring. Being perpetually connected also means that we’re producing mind-boggling amounts of data. In fact, IDC Research predicts by 2020 we will be generating 44 trillion gigabytes annually, and the global data sphere will reach 175 zettabytes by … Continued
